Decision Engineering
AI decision rooms that turn scattered information into structured, evidence-backed judgment.
- Decision Memos
- Scenario Trees
- Market Intelligence
- Investment Analysis
- Risk Maps
- Next-Action Plans
Enabling
Humanity.
Technology is a tool, and the work comes first. We build the systems that help people and organisations understand more, decide better, and do what was out of reach, with AI where it earns its place and none where it doesn't.
What brought
you here?
Pick the line that sounds like you. The page that follows is about that, and nothing else.
What does your growth
actually need?
Today, everyone screams AI. We don't. We build the technology your growth actually needs, whether or not that's AI. Sometimes it is a decision. Sometimes a system. Sometimes a product we built for ourselves.
AI Software & Infrastructure
Strategy and engineering in one lane. We map the business, find the leverage, then build the platforms, tools, and AI systems that carry it.
- Process Mapping
- AI Opportunity Discovery
- Automation Roadmaps
- AI Systems
- Internal Tools
- Platforms & APIs
- Deployment
Products
Software we build for ourselves first, then ship: an execution system each employee can teach, a chat that keeps nothing, and a lab for the bets that come next.
- Karya PES
- KChat
- Karya Lab
Our most novel work · early, trialled with a few partners, still evolving
Where scattered
signals become
structured intelligence.
Bring the decision you can't afford to get wrong. Hundreds of agents run it forward through every path we can find, argue the downside, and converge on a judgment you can challenge, with its falsifiers attached.
Many signals. One coherent output.
Drop a signal into the room.
The swarm is circling. Give it something to think about.
An illustrative session. Real rooms run deeper: named sources, debate transcripts, confidence levels, and a full memo you can challenge.
Three products.
One philosophy.
Grounded intelligence,
built for real use.
Every product we build starts with a real need and ends with real impact. Each one complements the others, forming a connected system that helps teams decide better, act faster, and grow with confidence.
Nothing leaves.
Private AI that lives on your laptop.
KChat is the AI workspace that lives on your laptop. Your chats, files, and memory stay on your disk. Only the question goes out, and no one keeps it.
01
Behind the line
Your work stays on your disk.
A real desktop app with its own database inside. Chats, files, and memory are kept in the app's own folder, locked by FileVault or BitLocker. We host none of your content, so there is nothing of yours for us to leak.
02
Across the line
One request goes out. Nobody keeps it.
Your laptop sends the question and only the context it needs. The thinking happens in the cloud, under zero data retention, and is forgotten the moment it is answered. No logs, no training on your data.
03
One workspace
The best of local. The best of cloud.
Your data stays with you. The models stay in the cloud, where they scale, cost less than a GPU on your desk, and get better every time a new one arrives. Privacy and confidentiality on one side of the line, the best models on the other.
The first phase
The first piece of
something larger.
Confidentiality, zero data retention, and owning your own AI are the ground.
What we are building on it is ambient AI: there for you around the clock, proactive rather than waiting to be asked, carrying enough context about your work to upgrade what you already have. KChat is the first snippet of that infrastructure, shipped now so the foundation is real before the rest arrives.
Made for companies. Sold like an app.
Everything a security review asks for, and nothing an employee has to configure. Verified email sign-in, one model with zero setup, one monthly number, installers that update themselves. Team seats and single sign-on arrive in version two.
Public beta · macOS 13 or later on Apple silicon · Windows 10 or later on x64
Thinking from Karya Lab.
Research notes and field observations on what AI is actually useful for, where automation is enough, why implementation matters more than ideas, and why the future of intelligence may move beyond transformers.
Frontier Intelligence
Why we are thinking past transformers.
Transformers changed software. The next leap may need memory, reasoning, adaptability, and new architectures.
Method
Method is how AI becomes implementable.
Most companies do not need more AI ideas. They need method: map the business, find leverage, and build usable systems.
Automation
AI isn't needed for a lot of things.
If the work is predictable, rules and automation often win. Clean systems solve more than people think.
Applied AI
AI is strongest at summarisation and personalisation.
Most real AI value can be reduced to these two jobs. If it fits neither, you may not need AI.
Karya means
purposeful action.
Rooted in the Sanskrit word ‘kārya’, meaning that which ought to be done, Karya believes work is more than output. It is the responsibility to act with intent, build with clarity, and create impact that enables humanity to thrive.
Strong enough to outlast the night. Quiet enough to disappear into it.
The panther does not announce itself. Neither should the technology. The best tools blend into the work and let the people doing it take the credit. They don't perform.
01
Technology is not the goal. Human progress is.
We build to solve real problems, drive meaningful outcomes, and improve lives at scale.
02
AI multiplies. It does not replace.
We create intelligence that augments ability, unlocks potential, and accelerates impact.
03
Taste is a form of judgment.
We build with clarity, responsibility, and long-term respect for the work we leave behind.