Services · MetaCortexA Epistemix Systems

What we do

Four ways to work with us.

The same honest approach in all of them. We take on the parts where being wrong is expensive.

Custom AI development

We build AI systems end to end. Starting from your data, we design, build, and ship something your experts can rely on: it shows its sources, says how sure it is, and refuses to answer when the data can't back one up. We handle the hard parts, from cleaning the data to the logic to the screens people use.

You get: a working system, not a slide deck; a source and a confidence level on every answer; code and documentation you own.

AI & technical consulting

Before you commit a quarter and a budget, get a straight read. We assess feasibility, design the architecture, and tell you plainly what's real, what's hype, and what a version you can actually trust would take. If the honest answer is "don't build this yet," you'll hear it, and why.

You get: a feasibility and architecture review; a clear build-or-wait recommendation; a plan any competent team could pick up.

R&D & design partnerships

For a problem no one has solved yet, we build it with you. We bring the AI know-how and the engineering; you bring the field expertise and the data. We shape a product together and share the risk and the upside. This is how FluxPilot and our other products began.

You get: a shared roadmap; a prototype on your real data; a partner, not a vendor invoice.

Data & ML engineering

The behind-the-scenes work that decides whether any of the above holds up: moving and cleaning data, wiring in the models, testing them honestly, and shipping it so it keeps working in the real world. Usually the difference between a demo that impresses and a system people actually trust.

You get: repeatable data pipelines; honest testing, not vanity metrics; deployment and monitoring you can maintain.

How an engagement works

Honest first, built second.

Most engagements move through the same three stages. You can stop after any of them.

1Scope it, honestly. A short paid project to pin down the problem, the data, and whether AI is even the right tool. You leave with a clear recommendation, whether or not you build with us.

2Build it right. We build the system against your real data, out in the open, with every answer tracing back to a real source.

3Hand over, or run it. You get the code, the docs, and the evaluation. We hand off to your team, or keep running and improving it, whichever you prefer.