Your team stops doing the same task again and again. An AI agent does it, a person on your team approves it, and you get the hours back. We also build apps and teach AI skills.
We design and ship AI agents with human approval built in, apps with agents inside, conventional software, and AI training. Scope runs from one automated workflow to a full product.
We work mostly in healthcare and education, starting with clinics and schools. If your team does any of these jobs by hand every week, an agent can do most of the work, and a person still approves the result.
Good first workflows are high in volume, rule based and repetitive, with a clear point where a person approves. Our focus is healthcare and education, starting with clinics and schools.
It reads a request, works through the steps, and asks a person before anything important goes out. Think of a careful assistant that never tires of the repetitive parts.
A language model connected to your systems through tools and APIs. It plans the steps, calls those tools, and stops for human approval before any action with consequences.
Hi, is there a slot tomorrow morning to see the doctor? It is for my son. Thanks, Aina
Most projects sit in between: an app with AI inside it. Pick the one that sounds like your problem, and we will tell you honestly if AI is the right tool.
Most engagements land in the middle: an application with agent features. We say so when a conventional solution beats an AI one.
Your team keeps the software it knows. We add an agent that does the slow, repeated part, such as sorting enquiries or preparing reports.
Agents integrated into your existing stack through APIs, webhooks or browser automation. No migration and no new system for staff to learn.
When no tool fits the job, we build a new one with AI inside from the start.
Web or mobile applications designed around an agent from the first screen, with the data model and permissions built for it.
Some jobs need a good app and no AI at all. We build websites, web apps and mobile apps, in English and Bahasa Melayu.
Flutter mobile apps, web apps and websites. AI features are added only where they clearly help.
Hands-on sessions for complete beginners and for teams already using AI. For one person or a whole group.
Workshops on prompting, agent design and safe use of AI at work, built around the tools your team already has.
It notices a new request, such as an email or a form.
Triggered by an event: inbound email, form submission or a schedule.
It does the task inside your systems.
Plans and runs tool calls against your systems, within set permissions.
Someone on your team approves the result.
Human-in-the-loop approval before any external action.
The result goes out, and every step is recorded.
Action committed and written to an audit log.
Every project follows the same four stages. You see the result working before you rely on it.
A forward deployed engineering model: discovery on site, a narrow first release, measured against a baseline, then a documented handover.
| Rev | Stage | Status |
|---|---|---|
| A | Sit with the people who do the jobWe watch how the work is done today and find the slow part.Map the workflow, the systems and the data it touches. | Approved |
| B | Build the smallest version that helpsOne job, done well, before anything bigger.A narrow first release on one workflow. | Approved |
| C | Prove it against the old wayWe compare time and mistakes before and after.Measure time per task and error rate against the baseline. | Approved |
| D | Hand it overYour team gets a runbook and can run it without us.Runbook, access, monitoring and a named owner on your side. | Approved |
Today, our agents run in a cloud account that you choose and own. We are also building a small server that runs AI inside your own building.
Deployed to your own cloud tenancy, with your keys and your region. On-premise inference hardware is in development.
Tell us one job that takes too long. In a free meeting, we show you what we would build, or tell you if AI will not help.
Bring one workflow: the steps, the systems and who does it now. In a free meeting, we give you a proposed scope, or a plain no if AI is the wrong tool.
Jentra is new. We take a few projects at a time.
Jentra is new. We take a few projects at a time, each with one engineer you know by name.