Anthropic / Claude·Built in India for US companies

Claude integration services

We integrate Claude into products and workflows for US companies: agents, tool use, MCP servers, structured outputs, and prompt caching, built to use the model well rather than just calling an endpoint. We know where Claude shines and where it doesn't.

No sales script. You talk to the engineers who'd build it.

9+ hrs
US overlap

Our team works a shifted day so you get real-time standups and same-day turnarounds across US time zones, not next-morning replies.

100%
You own the IP

Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.

Senior
No juniors hidden on the bill

You work directly with the engineers building your system. No account managers sitting between you and the people writing code.

Weeks
To first deployment

We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.

What we build

Concrete systems we ship, tuned to your data and your stack.

Agents & tool use

Claude wired to your tools and data so it can act, not just answer.

MCP servers

Custom Model Context Protocol servers that connect Claude to your systems cleanly.

Cost & latency tuning

Prompt caching and batching that cut cost and speed up responses.

Structured outputs

Reliable, schema-valid responses you can feed straight into your code.

How we work

01

Scope & evals

We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.

02

Build in the open

Weekly demos against real data. You see progress every week and can change direction before it gets expensive.

03

Ship & instrument

We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.

04

Hand off or stay

Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.

Questions, answered

Why use Claude over other models?

+

Claude is strong at reasoning, long context, tool use, and following instructions carefully, which makes it a great fit for agents and document-heavy work. That said, we pick per use case and aren't dogmatic about it.

What is MCP and do we need it?

+

The Model Context Protocol is a clean, standard way to connect models to your tools and data. If Claude needs to reach your systems, MCP is usually the right plumbing, and we build the servers for it.

Can you cut our Claude API costs?

+

Often, yes. Prompt caching, batching, smaller models for easy steps, and tighter prompts routinely cut spend without hurting quality. We instrument cost from day one.

Can you migrate us from another provider to Claude?

+

Yes. We port prompts, re-tune for Claude's strengths, and benchmark both so the switch is based on real numbers, not vibes.

Let's scope your build.

Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.

Start the conversation