Every board now has a "we should do something with AI" agenda item. We turn that item into shipped product: assistants that know your data cold, copilots that make your software stickier, and models tuned to your domain instead of the whole internet. The demo is the easy 10%. We're built for the other 90% — evals, cost control, monitoring, and the unglamorous engineering that keeps an AI feature trustworthy at scale.
What we build
- RAG knowledge systems — your policies, catalogs, contracts, and SOPs, answerable in plain language, with citations
- In-product copilots — AI features inside your SaaS that users actually return for
- Fine-tuning and evaluation pipelines — smaller, cheaper models tuned to your task, with eval suites so quality is measured, not guessed
- Multilingual and vernacular AI — Hindi, Hinglish, and regional-language experiences for Bharat-first products
- Private and self-hosted LLM deployments — open-source models on your infrastructure when data can't leave
- Document intelligence — extraction, classification, and summarization for invoices, KYC documents, and contracts
How we build
We treat LLM features like any other production system: versioned prompts, automated evaluations on every change, cost budgets per feature, live monitoring, and graceful fallbacks when a model misbehaves. A two-week proof of concept comes first; it only graduates to production once it clears the eval gate we agree on together.
FAQ
Which model will you use — GPT, Claude, or open-source?
Whichever wins on your task, your data constraints, and your unit economics. We benchmark before we commit, and we design so the model can be swapped later without a rewrite.
Is our data safe?
Your data is never used to train third-party models under our default architecture, and for stricter needs we deploy fully self-hosted models inside your infrastructure.
How do we keep AI costs from exploding?
Per-feature cost budgets, caching, model right-sizing, and monthly reviews. Most clients are surprised by how cheap a well-engineered AI feature is — and how expensive a careless one becomes.
Can you add AI to our existing app?
Yes. Most of our generative AI work lands inside existing Laravel, mobile, and SaaS products rather than greenfield builds.