About AI Tech Ltd

AI Tech builds high-accuracy support agents for B2B SaaS, e-commerce (Shopify), and industrial manufacturers with complex product catalogues.

At a Glance

๐Ÿ“ Location & Focus

HQ: London ยท Focus: UK & DACH

๐ŸŽฏ Use Cases

Ticket Deflection (SaaS), Shopify Revenue & Support Copilot, Industrial Component Finder

โšก Technical Edge

KB Watchdog + Hybrid Graph/Vector retrieval

๐Ÿ”— Built-in Integration

Handover to Zendesk/Intercom

๐Ÿ“Š Optional Add-on

Analytics dashboards

Safety & Governance

AI should be safe, explainable, and governed. Our agents retrieve evidence from a Hybrid Graph + Vector stack and are protected by our KB Watchdog, which flags contradictions as your knowledge base evolves. Handover and analytics are available from day one to ensure traceability and oversight.

Why AI Tech

We provide dependable AI agents that increase ticket deflection and accurately handle complex product catalogues.

KB Watchdog

Automatically flags contradictions and drift as your knowledge base changes, keeping answers trustworthy end-to-end.

Hybrid Graph + Vector Retrieval

Combines graph relationships with semantic vectors to retrieve the right facts in the right context. Especially in complex cases.

Handover that preserves context

Escalations route to the right team with an AI summary and suggested next steps. Clean, fast, and accountable.

Analytics you can act on

Dashboards surface deflection, top intents, and KB gaps so you can prioritise fixes and improve outcomes quickly.

Built for Usability

Even the best agent fails with poor user experience. Our lead designers ensure every element, from chat flows and helpdesk handovers to dashboards, is clear, on-brand, visually exceptional, and effortless to use.

Lyritt Liu

LinkedIn โ†’

Charukeshi Ramesh

LinkedIn โ†’

Case Study: Math Angel

Math Angel (math-angel.io), a fast-growing UK maths edtech platform, uses our agent as a personalised AI Tutor and for support. The tutor connects to product and anonymised user databases to tailor help based on history and quiz results, while handover keeps human support fast and on-brief.

"AI Tech helped us deliver precise, personalised support at scale while keeping handovers clean and quick."

Leadership

Chu-Lam Pham, CEO LinkedIn โ†’

Quantitative leader focused on reliable, measurable AI. Senior quant in London. Sets product governance, success metrics, and commercial rigour so rollout is safe and ROI is evidenced.

An-Nam Pham, CTIO LinkedIn โ†’

Engineering leader bridging architecture and delivery. Former partner of an IT consultancy, ex-SAP (RISE) project manager. Owns retrieval quality, integrations and production reliability across full-stack, data and DevOps.

Lexie Li, COO LinkedIn โ†’

Operations and customer experience lead. Former senior commercial strategy consultant. Ensures delivery discipline, clear stakeholder communication, and UI/UX standards so agents are adopted by support teams and loved by customers.

Contact

If you'd like to understand whether our approach fits your stack and workflows, please get in touch via our Contact page.

Get in Touch