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Explore banking AI solutions for service, fraud, KYC, documents, risk, voice, relationship management and regulated workflows.
Our manifesto
Small, instant, invisible.
Company
You don’t need a frontier model for every task
We build small, specialized AI models so that intelligence can be fast, affordable, and invisible — embedded in the products that already do the work.
Conscious Engines
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Research, engineering write-ups, and the thinking behind the models we build. We publish what worked and what didn't.
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case study
How a European energy operator used sovereign AI to draft field reports in under two minutes using 30,000 historical reports and controlled procedures.
article
Meta Sends 85% of This AI Workload Through Rules, Not an LLM
Conscious Engines
Meta deterministic AI routing sends about 85% of asset classifications through rules and reserves an LLM path with roughly 400x compute cost.
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Sovereign by Design: The Enterprise AI Model Stack for Government
Conscious Engines
Explore sovereign AI for government across multilingual service, private RAG, document processing, inspections and public operations.
article
Why Government AI Needs Smaller, Controllable Models
Conscious Engines
Why small language models can give government AI stronger deployment control, lower cost, faster response and clearer evaluation.
case study
[Case Study] The On-Premise Factory Copilot: How ACG Capsules Cut MTTR by 30 to 40%
Conscious Engines
How ACG Capsules deployed an on-premise factory copilot over 200 documents, reached rapid operator adoption, and reduced mean time to repair by 30 to 40%.
case study
[Case Study] 60 AI Agents, One Industrial Knowledge Layer: How a Leading Steel Manufacturer Built Enterprise RAG
Conscious Engines
How Conscious Engines built a governed enterprise RAG, graph retrieval, and on-premise SLM layer for 60+ AI agents and roughly 2,000 employees.
case study
[Case Study] From ₹20 Lakh to ₹3 Lakh a Month: Rebuilding Enterprise RAG for Real Estate
Conscious Engines
How a large real-estate group rebuilt enterprise RAG with domain retrieval and an on-premise SLM, reducing its reported monthly cost from ₹20 lakh to ₹3 lakh.