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Enterprise AI platform

Custom AI platform for Indian enterprises

Stop renting expensive AI subscriptions. Own your AI layer โ€” RAG, fine-tuned models, internal copilots, MLOps โ€” built for your stack.

Own your IP

The model, the data, the prompts, the fine-tunes โ€” all yours, hosted where you choose.

Cost predictable

No per-seat AI subscriptions inflating with team size. One owned system, fixed infra cost.

Compliance-ready

DPDP, RBI, SEBI guidelines accounted for from day one. Audit logging built in.

What 'custom AI platform' actually means

Itโ€™s not a single product โ€” itโ€™s the right combination of components for your business. We assess what you need, then ship the smallest version that earns its keep, then expand.

  • RAG pipelines on your private knowledge base
  • Fine-tuned LLMs for domain-specific work
  • Internal copilots for sales, support, ops, engineering
  • MLOps: monitoring, drift detection, cost tracking
  • API gateway with usage controls and access logging

Why Indian enterprises pick a custom platform over off-the-shelf

Off-the-shelf AI subscriptions are great for individuals and small teams. They break at enterprise scale โ€” cost balloons with seats, data sovereignty becomes a question, and you canโ€™t tune them for your specific knowledge.

A custom platform is more upfront cost and lower long-term cost. It also means your competitive advantage isnโ€™t a tool anyone can buy.

Deployment timeline

Discovery: 2-3 weeks. First production capability shipped: 6-10 weeks. Continuous expansion thereafter.

Frequently asked questions

Where does the platform run?
Your choice. AWS, Azure, GCP, or on-premise. We don't lock you in.
Do you handle the LLM hosting?
Yes โ€” open-weight models (Llama, Mistral, Qwen, etc.) self-hosted, or commercial APIs (OpenAI, Anthropic, Google) with cost controls. Often a mix.
How do you stop us from being dependent on you?
Every deployment includes documentation, runbooks, and knowledge transfer to your team. We can stay involved for ops or hand it off cleanly.