Solutions / AI & Agentic AI
AI agents and LLM systems that do real work.
We design, build and run production AI: agents that complete multi-step tasks, LLM applications grounded in your own data, copilots for your teams, and document and vision systems that remove manual effort.
Sound Familiar?
The problems we're usually called in to solve.
Pilots that never reach production
A promising proof of concept stalls because nobody planned for evaluation, security, cost or integration.
Knowledge trapped in documents
Policies, contracts, manuals and tickets hold the answers, but staff can't find them quickly or trust what they find.
High-volume manual processing
Teams spend hours reading, classifying and re-keying invoices, forms, emails and claims.
Concern about risk and data
Leadership wants AI, but needs confidence about hallucinations, data privacy and who is accountable for outputs.
What We Build
Capabilities we deliver end to end.
AI Agents & Agentic Workflows
Agents that plan and run multi-step tasks across your tools, such as triage, research, reconciliation and follow-ups, with approval steps where they matter.
LLM Applications & Copilots
Assistants built into the tools your team already uses: drafting, summarising, answering and guiding users through complex tasks.
RAG & Enterprise Knowledge Search
Retrieval-augmented generation over your documents and systems, with citations, access control and freshness built in.
Intelligent Document Processing
Extract, validate and route data from invoices, forms, contracts and IDs, in English and Chinese, with confidence scoring and human review.
Computer Vision
Inspection, counting, OCR and visual QA from images and video, on the cloud or at the edge.
AI Automation & Integration
AI steps inside end-to-end workflows, connected to CRM, ERP, email, ticketing and messaging platforms.
Predictive Models & ML
Forecasting, scoring, anomaly detection and recommendations trained on your own historical data.
Evaluation, Guardrails & LLMOps
Test sets, automated evaluation, prompt and model versioning, cost monitoring, PII redaction and audit logs.
How We Work
One clear path, six stages.
Discover → Define → Design → Build → Launch → Evolve. You see working software every sprint and approve each stage before the next begins.
Discover
Define
Design
Build
Launch
Evolve
Technology
Chosen for the job, not the trend.
Engagement
How this usually runs.
AI work usually starts with a 2 to 4 week fixed-price discovery and prototype against your real data, then a fixed project to productionise it. Ongoing tuning and new use cases fit a long-term partnership.
Compare engagement modelsFAQ
Common questions.
What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent can also take actions: it plans steps, calls your systems through tools and APIs, checks its own results and hands over to a person when confidence is low or approval is required.
Will our data be used to train public models?
No. We use enterprise API terms or privately hosted models, keep data in the region you choose, and apply access controls so the AI only sees what the user is allowed to see.
How do you stop the AI making things up?
We ground answers in your own sources with citations, measure accuracy against test sets before launch, add guardrails and confidence thresholds, and route uncertain cases to people.
Which model do you use?
We're model-agnostic. We pick based on accuracy on your task, latency, cost and data-residency needs, and design the system so the model can be swapped later.
Have Something In Mind?
Let's talk about your AI project.
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