AI Apps, Agents & Assistants. AI that runs on your own data.
We build the AI apps, agents, and assistants your team and customers actually use — a chat assistant trained on your information, an agent that processes documents like KYC checks and contracts, and AI that drafts and summarises inside your product.
All trained on your own data — the kind no off-the-shelf tool can give you.
The challenge
Building an AI demo is easy. Getting one into real, day-to-day use is where almost everyone gets stuck — about 95% of company AI trials never show a real payoff (MIT, 2025), usually because the data's messy, it never connects to the rest of the business, or nobody checks that it behaves.
And the generic "chatbot" features are already being built into the software you own. The AI worth paying for is the kind that runs on your data and your way of working — the part no off-the-shelf tool can do.
AI that answers from your data — with its sources
A generic chatbot guesses from the public internet. The AI worth paying for reads your own documents and systems first, then answers — and shows you where each answer came from.
Every response is grounded in your data and checked before it's used. The same foundation powers both a chat assistant that answers questions and agents that take action across your systems.
Our approach
We build the hard, data- and integration-heavy custom AI that off-the-shelf can't touch — and we build it to survive production. Retrieval, prompt and eval pipelines, guardrails, observability, and cost controls come standard, not as an afterthought. And because the same firm runs a 24×7 SOC and platform-engineering practice, what we ship stays live.
How we build it
We take every AI app from idea to live in four steps — built on your data, checked before it launches, and kept reliable once it's live.
- 01
Discover
We pick the use case worth building and agree what success looks like up front — so we build the right thing, with a clear measure of done.
- 02
Build
We build the prompts and data connections so the AI works from your own information, and wire it into the software you already run.
- 03
Evaluate
We test the AI's answers against real examples — checking they're accurate and backed by your own information — so you know how it behaves before anyone relies on it.
- 04
Harden & operate
We add the guardrails, monitoring, and cost controls that keep it safe, reliable, and on budget once real people are using it.
What we build
AI features in your app
Add AI to software you already run — a built-in assistant, instant summaries, draft writing, and search that understands what people mean.
A chat assistant on your data
A chat assistant that answers from your own documents and information — showing its sources, and only sharing what each person is allowed to see.
Automated document handling
AI that reads your documents — claims, invoices, KYC, and contracts — pulls out what matters and sends each one to the right place, with your team checking the important ones.
Quality and safety built in
Every build comes with quality checks, monitoring, safety limits, and cost controls — so it stays accurate, reliable, and on budget.
Engagement options
Production Sprint
Fixed-scope, 4–10 weeks. One high-value use case taken to production with success metrics defined up front.
Dedicated AI pod
Monthly. A blended squad — AI eng, data eng, QA, lead — building across your roadmap.
Managed AI Operations
Run, observe, evaluate, and cost-optimize what we built.
No other partner combines all of these capabilities under one roof.
Pilot to production
We specialise in the last mile competitors leave unfinished.
Your data is the moat
We build on proprietary data and deep integrations — the work SaaS can't commoditise.
Operated, not abandoned
Backed by a real SOC and platform team, so features stay reliable and on-budget.
Sydney & Colombo economics
Senior AI-fluent engineering at offshore cost.
Frequently asked questions
What's the difference between an AI app and an AI agent?
An AI app or assistant helps when you ask it — you're in the driver's seat. An AI agent goes further and carries out multi-step tasks on its own, with your people checking the important calls. We build both, and help you pick the right one for each job.
Can you build a custom AI assistant for our business?
Yes — a chat assistant or agent trained on your own information and connected to your systems, so it answers and acts using your data, not generic internet knowledge. That's the core of what we do.
Why build when we could buy?
Buy the commodity; build the differentiator. Partner-built AI reaches production ~67% of the time vs ~33% for internal builds — and off-the-shelf can't run on your private data and workflows.
Which models do you use?
Model-agnostic by design (Claude, GPT, Gemini, open models) — chosen per use case, with cost optimization built in.
How do you stop hallucinations?
Retrieval grounding, evaluations, and guardrails — and we assure them continuously with Quality Engineering & Test Automation.
How fast to value?
A Production Sprint targets a live, measurable use case in weeks, not quarters.
Take your AI from pilot to production.
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