Put generative AI to work.
We design, build and operate Gen-AI systems that actually move a business metric - assistants, document intelligence, agentic workflows, and AI-assisted engineering.
RAGAgentsFine-tuningEvalsAI CodingMLOpsGuardrails
We design, build and operate Gen-AI systems that actually move a business metric - assistants, document intelligence, agentic workflows, and AI-assisted engineering.
Every AI bet we make starts with a measurable outcome - not a demo, not a hackathon, not a vibe.
Use-case discovery and prioritization, platform selection, data readiness, security and compliance posture, ROI modeling.
Customer-facing assistants, document intelligence, knowledge search, and multi-agent workflows built on OpenAI, Anthropic, Bedrock, Azure OpenAI or open-source models.
Org-wide rollout of AI coding tools - tooling choice, governance, security, adoption playbooks and productivity measurement.
Reference architectures, guardrails and evaluation harnesses. Observability, red-teaming, prompt governance, cost monitoring.
Where base-model prompting isn't enough - domain fine-tunes with careful evaluation and ongoing refresh.
Managed AI platform operations so that AI systems become boring production - with the rigor of any other service.
Patterns that consistently produce measurable ROI - not every company needs every use-case, but every company needs a shortlist.
RAG over policies, contracts, product docs and tickets - grounded, cited, access-controlled.
Extract, classify and reason over invoices, statements, KYC packs and clinical records.
Ticket triage, L1 automation, scheduled actions - with human-in-the-loop where it counts.
Org-wide rollout of AI coding tools with adoption playbooks, guardrails and measurable velocity gains.
Explore the adjacent practices we often deliver alongside.
A short discovery is usually enough to pick the first two AI bets worth making.