# Teksmobile > AI consulting, implementation and secure engineering since 2006. Teknowledge Software Limited (UK), founded 2006. Offices: United Kingdom, Australia, India, Sweden, South Korea. Contact: info@teksmobile.com. Teksmobile is an AI consulting and implementation firm: AI strategy, fractional AI CTO, LLM applications, AI agents, AI knowledge bases (RAG), vector search, AI security and governance, Salesforce implementation, event technology, AI-driven technical SEO and marketing, plus custom software development. ## Company - [About Us | Mobile App Developer Since 2006](https://teksmobile.com/about.html): Learn about Teksmobile (Teknowledge Software) — founded 2006 by CEO Hussain Fakhruddin. A leading mobile app developer with 1500+ apps, 450+ clients and 5 global offices. - [Careers: AI, Salesforce & Mobile Roles](https://teksmobile.com/careers/): Join Teksmobile: how we hire AI engineers, Salesforce developers, mobile engineers and QA across the UK, Australia, India, Sweden and South Korea. Remote-friendly. - [Contact Teksmobile | Book an AI Consultation](https://teksmobile.com/contact.html): Book an AI consultation with Teksmobile. Tell us about your project; we reply within 24 working hours. Offices in the UK, Australia, India, Sweden, South Korea. - [Engagement Models: How We Work Together](https://teksmobile.com/engagement-models/): Five ways to work with Teksmobile: discovery sprint, fixed-scope build, dedicated team, fractional AI CTO and managed services, plus how we estimate. - [FAQ: Engagements, Pricing & AI Delivery](https://teksmobile.com/faq/): Answers to what clients ask before working with Teksmobile: engagements, pricing, AI delivery, security and data, Salesforce, events and working with us. - [How We Work | Mobile App Developer Process & RAD Workshop](https://teksmobile.com/how-we-work.html): Teksmobile's mobile app developer process — from free quote and signature RAD Workshops to design, agile sprint development, QA, App Store submission and 24×7×365 support. - [Technologies & Platforms We Work With](https://teksmobile.com/partners/): Platforms Teksmobile builds on: Anthropic Claude, OpenAI, Google Gemini, Salesforce, AWS, Azure, Cloudflare, pgvector, Milvus and Stripe, and how we choose between them. - [Privacy Policy](https://teksmobile.com/privacy-policy/): How Teksmobile (Teknowledge Software Limited) handles personal data on teksmobile.com: the inquiry form, cookies, third parties and your UK GDPR rights. - [Terms of Use](https://teksmobile.com/terms/): Terms of use for teksmobile.com, the website of Teknowledge Software Limited: content ownership, acceptable use, warranties and governing law. ## AI Services - [AI Consulting & Implementation Services](https://teksmobile.com/ai/): AI consulting and implementation: strategy, fractional AI CTO, LLM apps, agents, MCP servers, chatbots, voice, evals and LLMOps from one senior team. - [AI Agents & Automation Development](https://teksmobile.com/ai/ai-agents-automation/): AI agents and automation that plan, act through tools and verify their work inside guardrails you set. We also say when a plain workflow beats an agent. - [AI Chatbot Development for Support & Sales](https://teksmobile.com/ai/ai-chatbots/): AI chatbot development grounded in your content: cited answers, clarifying questions, clean escalation to people and honest measurement of what was resolved. - [AI Data Engineering Services](https://teksmobile.com/ai/ai-data-engineering/): AI data engineering: ingestion, cleaning, PII handling, chunking, embeddings and features served from pgvector or Milvus so RAG and agents run on trusted data. - [AI for Mobile Apps: iOS & Android](https://teksmobile.com/ai/ai-for-mobile-apps/): AI features for iOS and Android apps from a team with 1500+ apps delivered: on-device models for speed and privacy, cloud models for heavy work. - [AI Implementation: Pilot to Production](https://teksmobile.com/ai/ai-implementation/): AI implementation that takes a pilot through eval, security and rollout gates into a production system with owners, runbooks, monitoring and measured results. - [AI Integration Services for Business Systems](https://teksmobile.com/ai/ai-integration/): AI integration wiring models into Salesforce, ERPs, ticketing, warehouses and legacy systems with the right pattern: synchronous API, events or MCP tools. - [AI Strategy & Consulting Services](https://teksmobile.com/ai/ai-strategy/): AI strategy consulting that scores use cases on value and feasibility, checks data readiness and ends in a funded 12-month roadmap and a first project. - [Computer Vision Development Services](https://teksmobile.com/ai/computer-vision/): Computer vision services for documents, images and video: OCR and extraction, inspection, retail and event use cases, built with validation and human review. - [LLM Fine-tuning & Evals Services](https://teksmobile.com/ai/fine-tuning-evals/): Fine-tuning and evals: we build the eval set first, then choose the cheapest fix that passes it, from prompting through RAG to supervised fine-tuning. - [Fractional AI CTO Services](https://teksmobile.com/ai/fractional-ai-cto/): Fractional AI CTO on a part-time retainer: architecture, model and vendor decisions, hiring, governance and a 90-day plan that ends in shipped software. - [LLM App Development Services](https://teksmobile.com/ai/llm-app-development/): LLM app development on Claude, GPT, Gemini and open-weight models, with model routing, tools, RAG, evals and observability built in from the first sprint. - [LLMOps & AI Monitoring Services](https://teksmobile.com/ai/llmops-monitoring/): LLMOps and monitoring for production AI: traces for every call, dashboards for latency, cost and quality drift, release gates tied to evals and a runbook. - [MCP Server Development Services](https://teksmobile.com/ai/mcp-server-development/): MCP server development: connect Claude and other AI hosts to your CRM, databases and ticketing via the Model Context Protocol with scoped tools and audit logs. - [Speech-to-Text & Transcription Services](https://teksmobile.com/ai/speech-to-text/): Speech-to-text development: streaming and batch transcription, diarisation, summaries and search, proven in our Eventify session transcription product. - [Voice AI Agent Development](https://teksmobile.com/ai/voice-ai/): Voice AI agents for phone lines and apps: streaming speech-to-text, LLM and text-to-speech with a latency budget, barge-in and warm hand-off to people. ## AI Knowledge Base - [AI Knowledge Base & RAG Development](https://teksmobile.com/ai-knowledge-base/): Build an AI knowledge base on your own documents with RAG: cited answers, permissions-aware retrieval, evals and production support from a team that ships it. - [AI Document Q&A for Long Documents](https://teksmobile.com/ai-knowledge-base/document-qa/): Ask contracts, manuals, policies and reports a question and get an answer cited to page and section. Layout-aware parsing, OCR and structure-aware chunking. - [Enterprise RAG Implementation](https://teksmobile.com/ai-knowledge-base/enterprise-rag/): Enterprise RAG built for production: permission-aware retrieval over SharePoint, Confluence, Zendesk and databases, with evals, citations and guardrails. - [Permission-Aware Internal AI Copilot](https://teksmobile.com/ai-knowledge-base/internal-copilot/): An internal copilot that answers staff questions from HR, engineering and operations content while enforcing SharePoint, Confluence and Drive permissions. - [Knowledge Base Migration for AI Readiness](https://teksmobile.com/ai-knowledge-base/knowledge-base-migration/): Migrate a legacy knowledge base or wiki into an AI-ready corpus: content audit, structure, metadata and embeddings, with a content readiness checklist. - [AI Support Copilot with Knowledge Base](https://teksmobile.com/ai-knowledge-base/support-copilot/): A support copilot grounded in your knowledge base: deflects routine questions with cited answers, drafts agent replies and hands off when confidence is low. ## AI Security & Governance - [AI Security & Governance Services](https://teksmobile.com/ai-security/): LLM security audits, prompt injection defence, AI red teaming, secure RAG and AI governance for the EU AI Act and ISO 42001, from a UK firm founded in 2006. - [AI Data Privacy & PII Handling](https://teksmobile.com/ai-security/ai-data-privacy/): AI data privacy for LLM features: data flow mapping, PII redaction and pseudonymisation, retention rules, provider data terms and DPIA support with your DPO. - [AI Governance Framework & Policies](https://teksmobile.com/ai-security/ai-governance/): Practical AI governance: a policy stack from principles to evidence, roles and RACI, a model inventory and review gates aligned to the EU AI Act and ISO 42001. - [AI Red Teaming Services](https://teksmobile.com/ai-security/ai-red-teaming/): Goal-driven AI red teaming for LLM assistants, agents and RAG systems: scoped campaigns, manual and automated attacks, reproducible evidence and a retest. - [AI Security Checklist (30-Point Self-Audit)](https://teksmobile.com/ai-security/ai-security-checklist/): Free 30-point AI security checklist for LLM apps, agents and RAG: tick what you have, get a score and a what-to-fix-first list. Saves in your browser only. - [EU AI Act Readiness](https://teksmobile.com/ai-security/eu-ai-act-readiness/): EU AI Act readiness for providers and deployers: classify systems by risk tier, map obligations, close gaps in order and build the evidence regulators expect. - [ISO 42001 Readiness & Gap Assessment](https://teksmobile.com/ai-security/iso-42001/): ISO/IEC 42001 readiness: what the AI management system standard covers, a gap assessment against its clauses and controls, and how it builds on ISO 27001. - [LLM Security Audit](https://teksmobile.com/ai-security/llm-security-audit/): A 2–4 week LLM security audit: threat model, static review, dynamic probing and a severity-rated report mapped to the OWASP Top 10 for LLM Applications. - [AI Model Supply Chain Security](https://teksmobile.com/ai-security/model-supply-chain-security/): Secure the AI supply chain: model provenance, weight and tokenizer integrity, dependency, plugin and MCP server review, and an SBOM for your whole AI stack. - [Prompt Injection Defence](https://teksmobile.com/ai-security/prompt-injection-defense/): Defence in depth against direct and indirect prompt injection: privilege separation, tool allow-lists, output validation, human-in-the-loop and monitoring. - [Secure RAG Architecture](https://teksmobile.com/ai-security/secure-rag-architecture/): Secure RAG architecture: document-level ACLs, tenant isolation, retrieval filtering and citation enforcement, so your AI only answers from what a user may see. ## AI SEO & Marketing - [AI SEO & Marketing Services](https://teksmobile.com/ai-seo/): Technical SEO, generative engine optimisation and marketing engineering from the developers who build the AI systems that now answer searches. - [AI Analytics & Attribution](https://teksmobile.com/ai-seo/ai-analytics/): Marketing analytics engineered for action: multi-touch attribution you can defend, dashboards that answer questions, anomaly alerts and privacy by design. - [AI Content Operations](https://teksmobile.com/ai-seo/ai-content-operations/): Human-led, AI-assisted content operations: briefs, research, AI drafting, expert editing, fact checking, publishing and refresh cycles with quality gates. - [AI Search Visibility Monitoring](https://teksmobile.com/ai-seo/ai-search-visibility/): Measure whether ChatGPT, Perplexity, Google AI Overviews and Claude mention or cite your brand: prompt sets, scheduled runs, citation share and gap reports. - [Conversion Rate Optimisation](https://teksmobile.com/ai-seo/conversion-optimization/): Conversion optimisation on a hypothesis, test, learn loop: analytics review, form and CTA practice, A/B tests you can trust, fixes shipped by developers. - [Core Web Vitals Optimisation](https://teksmobile.com/ai-seo/core-web-vitals/): Core Web Vitals explained and fixed by developers: LCP, INP and CLS on a page-load timeline, typical fixes for each and measurement built on field data. - [AI Email Marketing](https://teksmobile.com/ai-seo/email-marketing-ai/): AI email marketing with humans in the loop: segmentation from behaviour, drafting with review, send-time tests, plus SPF, DKIM and DMARC explained. - [Generative Engine Optimization (GEO)](https://teksmobile.com/ai-seo/generative-engine-optimization/): Generative engine optimisation: make your pages the ones ChatGPT, Perplexity, Google AI Overviews and Claude cite. Entity clarity, facts, freshness. - [llms.txt & AI Crawler Setup](https://teksmobile.com/ai-seo/llms-txt/): What llms.txt is, how we generate it from page metadata (this site has one), robots.txt rules for GPTBot, ClaudeBot and PerplexityBot, and the trade-offs. - [Local SEO for Multi-Office Firms](https://teksmobile.com/ai-seo/local-seo/): Local SEO for multi-office firms: Google Business Profile, LocalBusiness schema, location pages that are not duplicates, reviews and country targeting. - [Marketing Automation & Lead Scoring](https://teksmobile.com/ai-seo/marketing-automation/): Marketing automation engineered properly: lead scoring with rules and models, lifecycle journeys, two-way Salesforce CRM sync and AI drafting under review. - [Programmatic SEO Done Responsibly](https://teksmobile.com/ai-seo/programmatic-seo/): Programmatic SEO that survives quality updates: templates fed by real data, a unique-value test for every page and quality gates that decide what gets indexed. - [SEO for SaaS Companies](https://teksmobile.com/ai-seo/seo-for-saas/): SEO for SaaS: an ICP keyword map by persona and intent, honest comparison and alternative pages, integration pages, docs SEO and the technical foundations. - [Structured Data & Schema Markup](https://teksmobile.com/ai-seo/structured-data/): Schema.org structured data machines trust: Organization, Service, FAQPage, Article, BreadcrumbList, Product, Event and DefinedTerm, generated and validated. - [Technical SEO Audit](https://teksmobile.com/ai-seo/technical-seo-audit/): A developer-run technical SEO audit: crawl, indexation, rendering, Core Web Vitals, structured data, internal links and logs, as a prioritised fix list. ## Case Studies - [Case Studies: Eventify & ZekoHR](https://teksmobile.com/case-studies/): Product engineering case studies from Teksmobile's own platforms, Eventify and ZekoHR: architecture, AI decisions and what we learned shipping them to production. - [AI Matchmaking for Events: Case Study](https://teksmobile.com/case-studies/ai-matchmaking-for-events/): How Teksmobile built Eventify's AI attendee matchmaking: embeddings for recall, rules for fairness and reciprocity, and LLM explanations grounded only in profile data. - [Badge Printing & Kiosk: Case Study](https://teksmobile.com/case-studies/badge-printing-and-kiosk/): How Teksmobile built Eventify's badge printing and self-service kiosk: a local-first desktop app, idempotent check-in and printing that survive bad Wi-Fi. - [Event Speech-to-Text: Case Study](https://teksmobile.com/case-studies/event-speech-to-text/): How Teksmobile built session speech-to-text for Eventify: live captions, a second accuracy pass, vocabulary pulled from the agenda, and LLM summaries that feed search. - [Eventify: White-label Event Platform](https://teksmobile.com/case-studies/eventify-event-platform/): How Teksmobile built Eventify, a white-label event platform: native apps, organiser admin, a tenant-scoped API, offline check-in and AI features running in production. - [Eventify AI Support Bot: Case Study](https://teksmobile.com/case-studies/eventify-support-ai-bot/): How Teksmobile built Eventify's AI support bot: retrieval scoped to each tenant and event, live tools for time-sensitive answers, required citations and human handoff. - [ZekoHR: Multi-tenant HR Platform](https://teksmobile.com/case-studies/zekohr-hr-platform/): How Teksmobile built ZekoHR, a multi-tenant HR SaaS: payroll, attendance, recruitment, documents, expenses and grievances, with isolation enforced once. ## Custom Software - [Custom Software & Mobile App Development](https://teksmobile.com/custom-software-development/): Custom software and mobile app development since 2006: native iOS and Android apps, IoT, APIs, AR/VR and enterprise platforms. 1500+ apps delivered for 450+ clients. - [Mobile App Developer Portfolio | 1500+ Apps Built](https://teksmobile.com/portfolio.html): Browse Teksmobile's mobile app developer portfolio — 1500+ apps across iOS, Android, IoT, AR/VR and enterprise platforms. Clients include Vodafone, Eventify, HelloMind, SmartTrips, and more. - [Mobile App Development Services | iOS, Android, IoT, AI, AR/VR](https://teksmobile.com/services.html): Full-service mobile app developer offering iOS & Android app development, IoT solutions, custom API development, AI chatbots, AR/VR, 3D gaming and enterprise software. 1500+ apps shipped. ## Event Technology - [Event Technology Services](https://teksmobile.com/event-technology/): Custom event software and our white-label Eventify platform: event apps, registration, check-in, badges, kiosks, lead retrieval, AI matchmaking and analytics. - [AI for Events: Agenda Bots to Sponsor Insights](https://teksmobile.com/event-technology/ai-for-events/): AI for events: agenda assistant, support bot grounded in event knowledge, live session transcription and summaries, matchmaking and sponsor insights in the app. - [AI Matchmaking for Events & Networking](https://teksmobile.com/event-technology/ai-matchmaking/): AI matchmaking for events: attendee and exhibitor profiles become embeddings, ranked introductions and booked meetings, with privacy controls people trust. - [Event Check-in & Badge Printing Software](https://teksmobile.com/event-technology/check-in-badge-printing/): Fast event check-in with QR scanning, on-demand badge printing, session access control and an offline mode that survives bad Wi-Fi. Eventify or custom-built. - [Event Analytics & Reporting Software](https://teksmobile.com/event-technology/event-analytics/): Event analytics: live operations dashboards, session and networking metrics, sponsor and exhibitor reports and the KPIs that justify next year's budget. - [Event App Development (iOS, Android, Web)](https://teksmobile.com/event-technology/event-apps/): Native iOS, Android and web event apps with personalised agendas, networking, live Q&A, push and offline mode. On Eventify or custom, under your brand. - [Self-service Event Check-in Kiosk Software](https://teksmobile.com/event-technology/kiosk/): Desktop kiosk software for self-service event check-in and badge printing: scan or search, confirm, print in seconds, works offline. With a hardware checklist. - [Exhibitor Lead Retrieval App & Software](https://teksmobile.com/event-technology/lead-retrieval/): Exhibitor lead retrieval: badge scanning app, lead qualification, consent capture, live dashboards and export to Salesforce, HubSpot or CSV. Eventify or custom. - [Event Registration & Ticketing Software](https://teksmobile.com/event-technology/registration-ticketing/): Event registration and ticketing with a form builder, ticket tiers, coupons, Stripe payments, approval flows and GDPR consent. On Eventify or built custom. - [Virtual & Hybrid Event Platform Development](https://teksmobile.com/event-technology/virtual-hybrid/): Virtual and hybrid event technology: streaming integration, ticket-tier access control, shared Q&A and polls for both audiences, recordings and transcripts. - [White-label Event Platform & Apps](https://teksmobile.com/event-technology/white-label-platform/): White-label event platform on the Eventify engine: your branding, vanity domains and app store listings, tenant isolation, and custom modules where config ends. - [Eventify — Case Study | Event App Platform Built by Teksmobile](https://teksmobile.com/eventify.html): How we built Eventify — a white-label event app platform used at conferences, trade shows and exhibitions worldwide. iOS, Android and web admin built by Teksmobile. ## AI Glossary - [AI Glossary — Plain-English Definitions](https://teksmobile.com/glossary/): Plain-English AI glossary for decision makers: 36 terms from LLM and RAG to prompt injection, MCP and the EU AI Act, each with an example and why it matters. - [Salesforce Agentforce — Definition & Examples](https://teksmobile.com/glossary/agentforce/): Salesforce Agentforce explained: the platform for AI agents that act on CRM data in Sales and Service Cloud, how agents are built and how we implement it. - [AI Agent — Definition & Examples](https://teksmobile.com/glossary/ai-agent/): What an AI agent is: an LLM that plans, calls tools, observes results and iterates towards a goal; how agents differ from chatbots, and the risks. - [AI Governance — Definition & Examples](https://teksmobile.com/glossary/ai-governance/): AI governance explained: the policies, roles, controls and records that keep AI lawful and accountable, and how it maps to ISO/IEC 42001 and the EU AI Act. - [Chunking — Definition & Examples](https://teksmobile.com/glossary/chunking/): Chunking explained: splitting documents into passages for embedding and retrieval, the main strategies, overlap and metadata, and how to tune it for RAG. - [Context Window — Definition & Examples](https://teksmobile.com/glossary/context-window/): Context window explained: the token limit an LLM can read at once, what competes for that space (instructions, history, documents, output) and how to budget it. - [Embeddings — Definition & Examples](https://teksmobile.com/glossary/embeddings/): Embeddings explained: how text becomes a vector of numbers, why similar meanings land close together, and how Teksmobile uses embeddings for search and RAG. - [EU AI Act — Definition & Examples](https://teksmobile.com/glossary/eu-ai-act/): The EU AI Act explained in plain English: risk categories, duties for providers and deployers, general-purpose AI rules, who it applies to and how to prepare. - [Evals (LLM Evaluations) — Definition](https://teksmobile.com/glossary/evals/): LLM evals explained: repeatable tests that score an AI application on a fixed set of inputs, the main scoring methods, and when to run them. - [Fine-tuning — Definition & Examples](https://teksmobile.com/glossary/fine-tuning/): Fine-tuning explained: training a pre-trained LLM on your own examples, LoRA and parameter-efficient methods, and when it beats prompting or RAG. - [Function Calling — Definition & Examples](https://teksmobile.com/glossary/function-calling/): Function calling explained: how an LLM returns a structured call with JSON arguments matching a schema you declared, and why it makes integrations reliable. - [Generative Engine Optimization — Definition](https://teksmobile.com/glossary/generative-engine-optimization/): Generative engine optimization (GEO) explained: making your content more likely to be cited accurately by AI answer engines, and how it differs from SEO. - [Guardrails (AI) — Definition & Examples](https://teksmobile.com/glossary/guardrails/): AI guardrails explained: input, output and action controls around an LLM that enforce policy, block unsafe content and limit scope, with practical examples. - [Hallucination (AI) — Definition & Examples](https://teksmobile.com/glossary/hallucination/): AI hallucination explained: why language models produce confident but false output, what reduces it (grounding, citations, evals) and how to design around it. - [Hybrid Search — Definition & Examples](https://teksmobile.com/glossary/hybrid-search/): Hybrid search explained: combining keyword (BM25) and vector search with rank fusion, why it beats either alone, and how Teksmobile builds it for RAG. - [Inference (AI) — Definition & Examples](https://teksmobile.com/glossary/inference/): Inference explained: running a trained model on new input, as opposed to training, plus the latency, throughput and cost measures that matter in LLM systems. - [ISO/IEC 42001 — Definition & Examples](https://teksmobile.com/glossary/iso-42001/): ISO/IEC 42001 explained: the international standard for an AI management system, what it requires, how it relates to ISO 27001 and the EU AI Act. - [Knowledge Graph — Definition & Examples](https://teksmobile.com/glossary/knowledge-graph/): Knowledge graph explained: entities and relationships stored as nodes and edges, how it differs from a vector index, where GraphRAG helps and when you need one. - [LLM (Large Language Model) — Definition](https://teksmobile.com/glossary/llm/): What a large language model (LLM) is, how it predicts text, where it fits in a business application, and how Teksmobile builds with Claude, GPT and open models. - [llms.txt — Definition & Examples](https://teksmobile.com/glossary/llms-txt/): llms.txt explained: the proposed Markdown file at a site root that gives AI systems a curated guide to its key content, what goes in it and its limits. - [MCP (Model Context Protocol) — Definition](https://teksmobile.com/glossary/mcp/): Model Context Protocol (MCP) explained: the open standard from Anthropic for connecting AI applications to tools and data through servers. - [Model Routing — Definition & Examples](https://teksmobile.com/glossary/model-routing/): Model routing explained: sending each request to the most suitable LLM by task, difficulty, cost or data rules, via rules, classifiers, cascades and fallbacks. - [Multimodal AI — Definition & Examples](https://teksmobile.com/glossary/multimodal/): Multimodal AI explained: models that handle text, images, audio and video together, what that enables for documents, vision and voice, and the trade-offs. - [Prompt Engineering — Definition & Examples](https://teksmobile.com/glossary/prompt-engineering/): Prompt engineering explained: designing instructions, examples and context so an LLM gives reliable, well-formatted output, plus key techniques and pitfalls. - [Prompt Injection — Definition & Examples](https://teksmobile.com/glossary/prompt-injection/): Prompt injection explained: how untrusted text hijacks an LLM, direct vs indirect attacks, the OWASP LLM Top 10 context, and how to defend against it. - [Quantization — Definition & Examples](https://teksmobile.com/glossary/quantization/): Quantization explained: cutting model weights from 16-bit to 8-bit or 4-bit so LLMs need less memory and run faster, the accuracy trade-off, and when to use it. - [RAG (Retrieval-Augmented Generation)](https://teksmobile.com/glossary/rag/): Retrieval-augmented generation (RAG) explained: how retrieval grounds LLM answers in your documents, why it matters, and how Teksmobile builds it securely. - [AI Red Teaming — Definition & Examples](https://teksmobile.com/glossary/red-teaming/): AI red teaming explained: structured adversarial testing that tries to make an LLM system leak data, bypass controls or misbehave before attackers do. - [Reranking — Definition & Examples](https://teksmobile.com/glossary/reranking/): Reranking explained: a second-pass model that re-scores retrieved candidates so the best passages reach the LLM, how cross-encoders work, and when it pays off. - [RLHF — Definition & Examples](https://teksmobile.com/glossary/rlhf/): Reinforcement learning from human feedback (RLHF) explained: how human preferences train a reward model that shapes LLM behaviour, and what it means for buyers. - [Semantic Search — Definition & Examples](https://teksmobile.com/glossary/semantic-search/): Semantic search explained: how search by meaning differs from keyword matching, where it helps and where it fails, and how Teksmobile builds it with embeddings. - [Speech-to-Text (STT) — Definition & Examples](https://teksmobile.com/glossary/speech-to-text/): Speech-to-text (ASR) explained: how audio becomes transcripts, diarisation, word error rate, real-time vs batch, and how Teksmobile uses it at events. - [Structured Data (Schema.org) — Definition](https://teksmobile.com/glossary/structured-data/): Structured data explained: Schema.org markup in JSON-LD that tells search engines and AI systems what a page is about, which types matter and how to add it. - [Temperature (LLM) — Definition & Examples](https://teksmobile.com/glossary/temperature/): Temperature explained: the sampling setting that makes LLM output more predictable or more varied, when to use low and high values, and how it relates to top-p. - [Tokens (LLM) — Definition & Examples](https://teksmobile.com/glossary/tokens/): Tokens explained: the word-fragment units an LLM reads and writes, how they relate to words and characters, and why pricing and context limits are set in them. - [Tool Use (LLM) — Definition & Examples](https://teksmobile.com/glossary/tool-use/): Tool use explained: how an LLM asks the application to run a function, API call or query and uses the result, why it underpins agents, and how to design tools. - [Vector Database — Definition & Examples](https://teksmobile.com/glossary/vector-database/): Vector database explained: how ANN indexes find similar embeddings fast, metadata filtering, and how to choose between pgvector, Milvus, Pinecone and Qdrant. ## Home - [AI Consulting & Implementation Company](https://teksmobile.com/): AI consulting and implementation firm, founded 2006: AI strategy, fractional AI CTO, LLM apps and agents, RAG, AI security, Salesforce and event technology. ## Industries - [AI by Industry | Sector Use Cases](https://teksmobile.com/industries/): Where AI pays off first in 13 industries: healthcare, fintech, retail, events, education, legal, HR and more. Use cases, compliance notes and architectures. - [AI for Education | Tutors, Admin & Safeguarding](https://teksmobile.com/industries/education/): AI for schools, universities and ed-tech: course tutors, admissions copilots, lecture transcription and early-warning analytics, with safeguarding built in. - [AI for Events & Exhibitions | Our Home Turf](https://teksmobile.com/industries/events-exhibitions/): AI for events and exhibitions: attendee matchmaking, live transcription, support bots and exhibitor lead intelligence, proven inside our Eventify platform. - [AI for Fintech | Onboarding, Risk & Fraud](https://teksmobile.com/industries/fintech/): AI for fintech and financial services: KYC document extraction, fraud and anomaly detection, operations copilots and in-app assistants, built for auditability. - [AI for Healthcare | Clinical & Admin Use Cases](https://teksmobile.com/industries/healthcare/): AI for healthcare providers and health-tech: document copilots, patient apps, transcription and triage support, built around patient data and clinical safety. - [AI for HR Tech | Recruiting, Policy, Onboarding](https://teksmobile.com/industries/hr-tech/): AI for HR teams and HR software vendors: CV screening against written criteria, policy and payroll assistants, onboarding copilots and auditable automation. - [AI for Legal | Contract Review & Research](https://teksmobile.com/industries/legal/): AI for law firms and in-house legal: contract review against playbooks, due diligence rooms, matter research and intake, with privilege enforced at the index. - [AI for Logistics | Documents, ETAs, Exceptions](https://teksmobile.com/industries/logistics/): AI for logistics and supply chain: shipping document extraction into the TMS, delay and exception prediction, ops desk agents, freight audit and tracking help. - [AI for Manufacturing | Maintenance & Quality](https://teksmobile.com/industries/manufacturing/): AI for manufacturers: anomaly detection on machine data, maintenance copilots that read the manuals, visual inspection, document extraction and forecasting. - [AI for Media | Transcription & Archives](https://teksmobile.com/industries/media/): AI for publishers and broadcasters: transcription and subtitling, semantic archive search, tagging and metadata, recommendations and moderation, rights-aware. - [AI for Public Sector | Citizen Services](https://teksmobile.com/industries/public-sector/): AI for government, councils and agencies: citizen assistants grounded in published policy, caseworker copilots, FOI triage and form processing, with oversight. - [AI for Real Estate | Enquiries, Leases, CRM](https://teksmobile.com/industries/real-estate/): AI for estate agents, property managers and proptech: enquiry agents that book viewings, lease extraction, listing content and maintenance triage, in your CRM. - [AI for Retail & E-commerce | Support & Search](https://teksmobile.com/industries/retail-ecommerce/): AI for retail and e-commerce: support agents that act on orders, semantic product search, recommendations, catalogue enrichment and demand forecasting. - [AI for Travel & Hospitality | Concierge, Demand](https://teksmobile.com/industries/travel-hospitality/): AI for hotels, travel companies and venues: guest concierge agents connected to booking systems, demand forecasting, review intelligence and ops triage. ## Insights - [AI Insights & Guides](https://teksmobile.com/insights/): Practical, opinionated guides on RAG, vector databases, LLM security, AI cost, agents, MCP and the EU AI Act — written by the engineers who ship them. - [Agentic Workflows 101: Loops, Tools & Limits](https://teksmobile.com/insights/agentic-workflows-101/): What an AI agent is, how the plan-act-observe loop works, how to design tools and stopping rules, and when an agent beats a fixed pipeline. - [The AI CTO Playbook: Your First 90 Days](https://teksmobile.com/insights/ai-cto-playbook/): A 90-day plan for the person accountable for AI: inventory and risk, guard-rails before scale, one production win, then platform, team and board reporting. - [AI for Events: A Lifecycle Guide for Organisers](https://teksmobile.com/insights/ai-for-events-guide/): Where AI genuinely helps at events: registration, matchmaking, live transcription, lead capture and post-event analytics, with lessons from building Eventify. - [The AI Project Roadmap: Discovery to Production](https://teksmobile.com/insights/ai-project-roadmap/): A phase-by-phase AI project roadmap: discovery, pilot, hardening, rollout and operation, with the deliverables, gates and typical durations we actually use. - [AI Readiness Guide: Six Dimensions to Score](https://teksmobile.com/insights/ai-readiness-guide/): How ready is your organisation for AI? Six dimensions, questions that score them honestly, what to fix before a pilot and the right first move at each level. - [Build vs Buy AI: A Decision Matrix](https://teksmobile.com/insights/build-vs-buy-ai/): Buy, configure, assemble or build? A matrix for deciding how to acquire each AI capability, the hidden costs on every side and a checklist to decide with. - [Choosing Embedding Models: A Practical Guide](https://teksmobile.com/insights/choosing-embedding-models/): How to choose an embedding model for RAG and search: domain and language fit, dimensions, latency, hosting, licence and the migration cost nobody budgets for. - [The Cost of LLM Applications: Where Money Goes](https://teksmobile.com/insights/cost-of-llm-applications/): Where the money goes in an LLM application: tokens, retrieval and infrastructure, evaluation and monitoring, people; and the levers that cut cost. - [Data Readiness for AI: The Deciding Checklist](https://teksmobile.com/insights/data-readiness-for-ai/): Why data decides AI projects before a model is chosen: a five-part readiness checklist, the traps that stall projects, a scoring table and a four-week sprint. - [EU AI Act Compliance Guide for Businesses](https://teksmobile.com/insights/eu-ai-act-compliance-guide/): What the EU AI Act means for your AI systems: risk tiers, what counts as high-risk, obligations by role, transparency duties and a practical path to readiness. - [Evaluating LLM Outputs: The Evaluation Pyramid](https://teksmobile.com/insights/evaluating-llm-outputs/): How to evaluate LLM outputs: deterministic checks, golden sets, model-graded rubrics, human review and production monitoring, and how much of each you need. - [LLM Security Checklist: Verify Before You Ship](https://teksmobile.com/insights/llm-security-checklist/): A layered LLM security checklist: prompt injection, data leakage, tool abuse, output handling, monitoring and supply chain, with controls that actually work. - [MCP Explained: The Model Context Protocol](https://teksmobile.com/insights/mcp-explained/): How the Model Context Protocol connects LLMs to your systems: hosts, clients and servers, tools, resources, prompts, what to expose first and how to secure it. - [Measuring AI ROI: A Formula Finance Will Accept](https://teksmobile.com/insights/measuring-ai-roi/): How to measure the return on an AI project: a formula that survives finance review, baselines, leading and lagging metrics, attribution pitfalls and reporting. - [On-Prem vs Cloud LLMs: Where Should Models Run?](https://teksmobile.com/insights/on-prem-vs-cloud-llm/): Hosted API, private cloud or on-premises? A decision table for where your LLMs should run: data residency, capability, cost, operations and the hybrid pattern. - [Prompt Engineering vs Fine-Tuning: Which First?](https://teksmobile.com/insights/prompt-engineering-vs-fine-tuning/): Prompting, retrieval and fine-tuning change different things. This guide explains the ladder, what each rung costs, and the signals that tell you when to climb. - [RAG Explained: Retrieval-Augmented Generation](https://teksmobile.com/insights/rag-explained/): A practical guide to retrieval-augmented generation: the pipeline, five design decisions that matter, where RAG fails, how to secure it and how to evaluate it. - [Salesforce and LLMs: AI Safely Inside Your CRM](https://teksmobile.com/insights/salesforce-and-llms/): Three patterns for putting LLMs inside Salesforce: native Agentforce and Einstein, external models called from Apex or Flow, and external agents via MCP. - [Small Language Models: When Smaller Wins](https://teksmobile.com/insights/small-language-models/): Where a small language model beats a frontier model on cost, latency and privacy, where the trade-off bites, and the techniques that make small models reliable. - [Vector Database Comparison: Which to Choose](https://teksmobile.com/insights/vector-database-comparison/): pgvector, Milvus, Pinecone, Qdrant and Weaviate compared on scale, filtering, hybrid search, hosting and ops burden, with a decision tree you can defend. ## Salesforce - [Salesforce Consulting & Implementation](https://teksmobile.com/salesforce/): Salesforce implementation, customisation and managed services by an AI-first engineering firm: Sales, Service, Marketing, Experience Cloud and Agentforce. - [Agentforce & Einstein AI Consulting](https://teksmobile.com/salesforce/agentforce-einstein/): Agentforce and Einstein consulting by an AI-first engineering firm: where native Salesforce AI fits, when to use Claude or GPT via MCP, and governing both. - [Salesforce AI Roadmap: Where AI Pays Off in CRM](https://teksmobile.com/salesforce/ai-roadmap/): A Salesforce AI roadmap that scores lead scoring, case summarisation, next-best-action, email drafting and knowledge answers by value and effort over 12 months. - [Apex & LWC Development Services](https://teksmobile.com/salesforce/apex-lwc-development/): Apex and LWC development with a real release pipeline: when to code versus Flow, bulkified triggers, meaningful tests and CI from sandbox to production. - [Salesforce Data Migration Services](https://teksmobile.com/salesforce/data-migration/): Salesforce data migration done properly: extract, profile, map, dedupe, load and validate with reconciliation gates and a rehearsed cutover plan. - [Salesforce Experience Cloud Portals](https://teksmobile.com/salesforce/experience-cloud/): Experience Cloud partner and customer portals from Salesforce implementation specialists: sharing model, self-service knowledge, event portals, AI answers. - [Salesforce Org Health Check](https://teksmobile.com/salesforce/health-check/): A Salesforce org health check across technical debt, security, performance and adoption: scored report and prioritised backlog in two to three weeks. - [Salesforce Implementation Services](https://teksmobile.com/salesforce/implementation/): Salesforce implementation from discovery to hypercare: fixed phases, clear deliverables, clean data and an AI-ready design. Greenfield or re-implementation. - [Salesforce Integration Services](https://teksmobile.com/salesforce/integrations/): Salesforce integration services: REST, Platform Events, CDC, Bulk API 2.0, MuleSoft or custom middleware, connecting ERP, telephony, warehouses and LLM agents. - [Salesforce Managed Services](https://teksmobile.com/salesforce/managed-services/): Salesforce managed services: administration, release management, monitoring and enhancements in three tiers (Essential, Standard, Extended) from a named team. - [Marketing Cloud Implementation](https://teksmobile.com/salesforce/marketing-cloud/): Marketing Cloud implementation: journeys, segmentation, consent and data extensions, with a neutral guide to Marketing Cloud Engagement vs Account Engagement. - [Sales Cloud Implementation & Pipeline Design](https://teksmobile.com/salesforce/sales-cloud/): Sales Cloud implementation: pipeline and stage design, forecasting, lead routing and CPQ-readiness, with AI copilots wired into the CRM from day one. - [Service Cloud Implementation & AI Deflection](https://teksmobile.com/salesforce/service-cloud/): Service Cloud implementation: case management, omnichannel routing, knowledge, entitlements and SLAs, with AI deflection and agent assist designed in. ## Solutions - [AI Solutions & Use Cases](https://teksmobile.com/solutions/): Fourteen production-ready AI use cases, from customer support to fraud detection, each with its pattern, guardrails and rollout plan, plus two free tools. - [AI Onboarding & Training Assistant](https://teksmobile.com/solutions/ai-onboarding-training/): AI onboarding built on your handbooks, SOPs and recorded sessions: role-based learning paths, quizzes and cited answers, with managers and experts in the loop. - [AI QA & Testing Automation](https://teksmobile.com/solutions/ai-qa-testing/): AI QA and testing that reads your pull requests, generates and runs tests in CI and triages failures with reproduction steps. Your QA lead approves every test. - [AI Readiness Assessment](https://teksmobile.com/solutions/ai-readiness-assessment/): Free AI readiness assessment: 16 questions across strategy, data, technology, skills and governance. Score per dimension, maturity level and next steps. - [AI Contract Analysis](https://teksmobile.com/solutions/contract-analysis/): AI contract analysis that classifies clauses, compares them to your playbook, extracts obligations and dates, and answers questions with citations. - [Customer Support AI](https://teksmobile.com/solutions/customer-support-ai/): Customer support AI that answers from your help centre and past tickets, assists agents with grounded drafts and escalates safely. RAG plus agent pattern. - [Intelligent Document Processing (IDP)](https://teksmobile.com/solutions/document-processing/): Intelligent document processing that classifies forms, scans and PDFs, extracts fields to your schema and validates them before posting. Doubts go to review. - [Fraud & Anomaly Detection AI](https://teksmobile.com/solutions/fraud-anomaly-detection/): Fraud and anomaly detection that scores events in real time, explains each flag and routes uncertain cases to analysts. Thresholds set by your risk appetite. - [AI Invoice Processing & PO Matching](https://teksmobile.com/solutions/invoice-processing/): AI invoice processing that captures invoices from email and portals, extracts line items, matches POs and receipts, codes the ledger and routes exceptions. - [AI Knowledge Management](https://teksmobile.com/solutions/knowledge-management/): AI knowledge management that connects wikis, drives, tickets and chat with permissions, flags stale content and answers with citations. Owners stay in the loop. - [AI-assisted Legacy Modernisation](https://teksmobile.com/solutions/legacy-modernization/): AI-assisted legacy modernisation: map the old codebase, generate characterisation tests and migrate module by module behind an API. Engineers review every PR. - [LLM Cost Calculator](https://teksmobile.com/solutions/llm-cost-calculator/): Free LLM cost calculator: enter requests per day, token sizes, cache hit rate and a model tier to estimate monthly tokens, monthly cost and cost per request. - [Meeting Intelligence AI](https://teksmobile.com/solutions/meeting-intelligence/): Meeting intelligence that transcribes calls, summarises them and extracts decisions, actions and risks into your CRM and task tracker after owner approval. - [Predictive Analytics Solutions](https://teksmobile.com/solutions/predictive-analytics/): Predictive analytics for demand, churn and capacity: forecasting models with confidence intervals, backtested against a naive baseline, with planner overrides. - [Recommendation Engine Development](https://teksmobile.com/solutions/recommendation-engine/): Recommendation engines built on embeddings and vector search: candidate retrieval, a ranking model with business rules, explanations and merchandiser controls. - [Recruiting AI: CV Screening & Matching](https://teksmobile.com/solutions/recruiting-ai/): Recruiting AI that parses CVs, matches candidates to role requirements with evidence and drafts interview prep. Recruiters decide every shortlist; bias tested. - [AI Sales Copilot](https://teksmobile.com/solutions/sales-copilot/): An AI sales copilot that prepares call briefs, writes CRM notes and proposes next steps from your CRM, email and calls. Reps approve every CRM write. ## Vector Search - [Vector Search Consulting & Implementation](https://teksmobile.com/vector-search/): Vector search consulting: semantic and hybrid search, embeddings strategy and vector database selection across pgvector, Milvus, Pinecone, Qdrant and Weaviate. - [Embeddings Strategy: Models, Chunking, Versions](https://teksmobile.com/vector-search/embeddings-strategy/): Choose an embedding model on criteria that matter, chunk content so retrieval works, and plan re-embedding without downtime. Our embeddings strategy service. - [Hybrid Search: BM25, Vectors and Reranking](https://teksmobile.com/vector-search/hybrid-search/): Hybrid search combines BM25 keyword matching, vector retrieval and a reranker. We build it on Postgres, Milvus, Qdrant or Weaviate and tune it on your queries. - [Milvus Consulting & Implementation](https://teksmobile.com/vector-search/milvus/): Milvus consulting from a team that runs it in production: cluster design, index selection, partitions and filtering, Kubernetes operations, Zilliz Cloud. - [pgvector Consulting & Implementation](https://teksmobile.com/vector-search/pgvector/): pgvector consulting: add semantic and hybrid search to the PostgreSQL you already run. HNSW vs IVFFlat indexing, filtering, tenancy, tuning and honest limits. - [Pinecone Consulting & Implementation](https://teksmobile.com/vector-search/pinecone/): Pinecone consulting: managed, serverless vector search with no servers to run. Namespaces, metadata filters, hybrid retrieval, cost modelling, swap-safe design. - [Qdrant & Weaviate Consulting](https://teksmobile.com/vector-search/qdrant-weaviate/): Qdrant and Weaviate consulting: open-source vector search with payload filtering, hybrid BM25 plus vectors, quantisation and modules. Which to pick, and why. - [RAG Cost Estimator](https://teksmobile.com/vector-search/rag-cost-estimator/): Free RAG cost estimator: one-off indexing cost, monthly LLM query cost and vector storage from your document counts, with every assumption shown and editable. - [Semantic Search Development](https://teksmobile.com/vector-search/semantic-search/): Semantic search finds results by meaning, not keywords. We design, build and evaluate embedding-based search for sites, catalogues, helpdesks and intranets. - [Vector Database Selection Guide](https://teksmobile.com/vector-search/vector-database-selection/): Compare pgvector, Milvus, Pinecone, Qdrant and Weaviate on hosting, scale, filtering, hybrid support, ops burden and cost model, then follow our decision tree. - [Vector Database Chooser](https://teksmobile.com/vector-search/vector-db-chooser/): Eight questions on scale, hosting, filtering, hybrid search, budget, residency and ops capacity give you a ranked vector database recommendation with reasons.