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We started with the hard part.

Instead of building another dashboard, we asked: how can AI keep up with everything the world produces — and stay affordable? The answer became Blackbox.

Our story

Infrastructure first. Applications second.

Machines, networks and AI products produce far more data than any model can afford to read. Most companies respond by building another dashboard on top. We went underneath.

Blackbox is our proprietary layer between data and AI. It keeps the signal and drops the repetition, so models can reason over far more of the world for far less. In our current test workflow, that meant 71% fewer tokens with the same output.

Atlas, our predictive maintenance application, is the first product built on it. Platforms for energy, telecom and logistics are what we’re building next.

Abhishek BhatFounder and Architect
Vision

One core. Every platform builds on it.

Every improvement to Blackbox lifts everything built on top of it. That’s how we plan to grow.

NOW

Blackbox for AI companies

Lower inference costs for AI products, without changing their model.

NOW

Atlas for manufacturing

Predictive maintenance on Blackbox, with pilots open.

NEXT

Industry platforms

Energy and utilities, telecom, and shipping and logistics — shaped with pilot partners.

How we work

Principles we don’t compromise on.

Honest numbers

We share what we’ve measured, how we measured it and what it doesn’t mean.

Proof on your data

We’d rather benchmark on your data than ask you to trust ours.

People decide

AI advises. The people responsible for the outcome stay in charge.

Build on what exists

We connect to your systems and models instead of asking you to replace them.

Investors and partners

Building the infrastructure layer for industrial AI.

We’re talking to investors, pilot partners and channel partners who see where this is heading.

Let’s talk.

Whether you run an AI product, a plant, a grid, a network or a fleet — we’d like to hear what you’re working on.