Banking, energy grid operations, government, quantitative finance and enterprise software. Any domain where downtime is not an option - and where decisions must be backed by data rather than assumptions.

We treat AI as infrastructure, not a bolt-on. Typical engagements start with data pipeline audit, continue with RAG or fine-tuned LLM deployment behind secure APIs, and finish with observability & human-in-the-loop controls. Zero disruption to existing workflows.

Standard is 99.999% uptime (five nines) with 24/7 monitoring, automated failover and incident response. For algorithmic trading platforms, we guarantee sub-millisecond order routing latency.

Both - we engage with enterprises on long-term critical systems, and with well-funded startups building products where reliability and intelligence are core differentiators. Engagement model is tailored to stage and risk profile.

All engagements start with NDAs covering data, models and trading strategies. Source code and proprietary IP remain with the client. We can operate on-premise, in your cloud tenancy, or air-gapped environments as required.

Python, .NET/C#, TypeScript/React, PyTorch, TensorFlow, LangChain, SQL Server, PostgreSQL, Oracle, Redis, Docker, Kubernetes - deployed on Azure, AWS, or private infrastructure. Stack selection is driven by problem, not preference.