AI woven in where it earns its place.

We focus on practical, production AI, assistants embedded in real products, document automation, semantic search, AI-augmented internal tools. We avoid pure research, deepfake/avatar projects, and demos that have no path to production. Most engagements pair an AI feature with the web or app it lives inside.

We use Claude (Anthropic) as our default for reasoning and content tasks, and reach for OpenAI, open-source models or specialised vision/speech models where they fit better. Model choice is made per task, we route Haiku for cheap classification, Sonnet for default work, Opus for the hardest reasoning, and cache aggressively to keep costs sensible.

A focused AI feature inside an existing product typically starts at ₹3-8 lakh, including discovery, prototyping, production deployment and evaluation. Larger AI-native products scale from there. Ongoing inference costs are separate and depend on usage, we engineer for low cost-per-call from day one.

Three layers: grounding (RAG with citations so answers reference your source content), guardrails (input filters, output validation, sensitive-topic blocks), and evaluation (an offline test suite of representative inputs run on every prompt change). Production deployments include monitoring for drift and a clear human escalation path.

We are taking on a limited number of AI projects per quarter to keep quality high. If you have a real production use case, not a demo, get in touch and we will tell you honestly whether and when we can take it on.