case study
How Air India's AI.g handled more than 17 million queries at 97% reported containment on top of a 45-source enterprise data platform.
Our manifesto
Small, instant, invisible.
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.
Engineering notes, field reports, and the thinking behind the systems we build. We publish what worked and what didn't.
case study
How Air India's AI.g handled more than 17 million queries at 97% reported containment on top of a 45-source enterprise data platform.
case study
Conscious Engines
How TELUS used Google Cloud AI to analyze more than 22 million calls annually, automate 30% of traffic, and report $53.9 million in annual savings.
article
Conscious Engines
How telecom voice AI can resolve billing, plan, device and network journeys using live data, approved policy and bounded actions.
case study
Conscious Engines
How Vodafone handles about 60 million AI conversations monthly while applying models to network MTTR, employee support, coding, sourcing, and HR.
article
A technical guide to telecom network operations AI using alarms, topology, tickets, manuals, RAG, SLMs and human approval.
article
Conscious Engines
Why task-specific and small language models can cut costs, accelerate responses, and improve control - without compromising quality where it matters.
article
Conscious Engines
Most enterprise AI budgets are spent running frontier models on work that does not require them