AI that runs inside the systems your business depends on.
We take AI from a working pilot to a live system, connected to your data and the software around it, and we run it after launch.
- Software and AI products
- Payments and financial services
- Security and monitoring
- Logistics and industrial sites
- Contact centres
AI that sees, listens, answers and predicts.
Image and video recognition
Cameras and photos turned into events your team can act on, with false alarms filtered out before they reach a person.
Speech and translation
Live speech recognition, translation and spoken replies, fast enough for a conversation.
Assistants and agents
Assistants and agents that research, answer and act inside your product, with each step checked before a user sees the result.
Prediction and scoring
Models that score, rank and forecast from your own data, built to hold up when someone tries to game them.
The model is the easy part.
Answers checked, not just speed
Every test checks what the AI got right, so a faster system is never a less accurate one.
A record of every decision
Each AI decision is stored with its inputs and the model that made it, so you can show anyone why it happened.
Limits on what AI can do
AI gets only the access it needs. Anything that moves money, opens a door or reaches a customer passes your rules first.
Cost that holds as you grow
We size hardware and model use from measurements, so running cost stays predictable as users grow.
Projects we have built and run.
Live speech translation platform
CLIENT A developer platform for live speech translation. Named on request under NDA.
Deployed 2026, in ongoing developmentA working prototype served eight speakers at once, while its hardware sat almost idle.
We found the limit in the serving software, not the model, and rebuilt that layer. The same hardware now serves 48 speakers with live translation, with most replies in under two seconds. No new hardware was bought.
Investors wanted research and signals across hundreds of assets and dozens of data sources, in markets where simple signals are easy to game.
Four production systems on one platform: a signal engine built to resist manipulation, a research assistant whose agents check each other’s work before answering, and the web and mobile apps around them.
Architecture first, then a running system.
An integrator or consultancy? We build the AI inside your project, under your brand.
Technical plan
Our senior architects study your data, systems and targets and write the plan: what to build, how it fits what you have, the risks, the timeline.
Prototype
A working slice on your own data and hardware, so every decision in the plan is confirmed before the build.
Build
Three to four months, tested against the targets you’re measured on.
Run
We host, monitor, fix and update it for as long as the system is in service.
Your data stays where you decide.
Your cloud or ours
We run it in your cloud account or host it for you, in the region where your data must stay.
Models you can own
Where it fits, open-source models run on your own servers, so your data is never sent to an outside AI company.
Security terms in writing
Each proposal sets out who can access what, what is logged, and how data is handled.
Related services
Frequently asked questions
Is AI the right answer for our problem?
Not always. If rules or a good report would do the job, the technical plan says so.
Can you take over a model or pilot another team built?
Yes. We measure what’s there, keep what works, and rebuild only what stops it going live.
What kinds of AI do you build with?
Video and image models, speech and audio models, scoring and forecasting models for financial and operational data, and language models such as ChatGPT, Claude or Gemini. We pick per task on accuracy, speed and cost.
How do you keep a model accurate over time?
We track its results on live data. When accuracy slips or a better model appears, we test the new version on your data and switch only if it does better.
Do we need our own data team?
No. We prepare the data each model needs, then hand over a system your team can run, or run it for you.
Who owns the code and the models?
You do: the code, any models we train for you, and your data.
Where is your team based?
Ho Chi Minh City, Vietnam. Your architect leads kickoff in person, and every system is documented for handover.
Tell us what your AI needs to do.
Or email us at [email protected]
What happens next
- 01An architect replies within one working day.
- 02A call about your data, systems and targets.
- 03If there's a fit, we scope the work together.