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AI that works where you work

Dreamroot builds custom, production-grade AI systems — computer vision, predictive maintenance, forecasting, and knowledge systems — engineered to run reliably where your work actually happens.

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We don't sell demos. We build AI that runs.

Six capabilities, built for production

Computer vision systems

Vision models that read the line in real time.

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Predictive maintenance

Forecast equipment failure before it stops production.

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Forecasting and time-series

Demand, load and energy prediction on your own data.

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RAG and knowledge systems

Talk to your data, with answers you can verify.

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AI infrastructure and MLOps

Deployment and operations for models that have to stay up.

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Custom models and optimisation

Bespoke models tuned to your problem and your hardware.

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94.7%reduction in training time versus state of the art
40%cut in compute cost with negligible accuracy loss
32countries of trade data processed for fraud detection

Frontier research, engineered for reality

Research you can trust

Founded on PhD-level research published at the field's leading venues. We understand the methods deeply, so we choose the right one for your problem.

Built for production

Optimised, on-premise-capable and engineered to run on real equipment. Your data can stay on your premises.

Proven in the real world

Defence software for the Indian Navy and Air Force, forecasting work with European industry partners.

Dr. Ashutosh Sao, founder of Dreamroot

Dr. Ashutosh Sao, Founder

PhD Computer Science, Leibniz University Hannover · MSc, University of Bonn · BTech, NIT Raipur. Fifteen years building AI and mission-critical software across India and Germany.

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Four steps, no surprises

Our approach
01

Understand

We sit with your process and data before proposing anything.

02

Prove

A scoped pilot on your own data, with agreed success criteria.

03

Build

The production system, engineered for your environment.

04

Deploy

Handover, monitoring and support once it is running.

Bring us the problem you have been told is too hard to automate.