Claude → Launch
Claude POC to production. In days.
More teams are building with Claude in-house. NayaOne is where those builds get proven, against synthetic data and real vendor APIs, inside the air-gap, and moved to launch with the evidence risk and security require.
“We had not yet started with AI. Inside a fortnight on NayaOne we had a Claude build proven on synthetic data and a clear path to production.”
CIO, Group Insurance
North American insurer
31
financial institutions testing Claude on NayaOne today
9 days
median from prototype to production-ready evidence
Model-agnostic by design
Test any AI model or tool, side by side.
NayaOne is not tied to one vendor. Bring the models and tools your teams already use, evaluate them on identical synthetic data, and choose on evidence.
Claude
OpenAI
Gemini
Cursor
Mistral
Llama
Cohere
Copilot
The path to launch
Four steps. The same environment from first prompt to production handoff.
1
Prototype with Claude in the sandbox
Spin up an air-gapped workspace and build with Claude against representative synthetic data, bank statements, documents, transactions, without exposing a single real record.
2
Prove it against real APIs
Wire the build into 1,500+ pre-integrated APIs and run it as it would behave in production. Measure accuracy, latency and fit on evidence, not a demo.
3
Generate the evidence pack
Export a documented record for risk, security and compliance, what was tested, on what data, with what result. Governance happens early, not as a last-minute blocker.
4
Launch to production
Hand the proven build off, first into your own sandbox, then production. The work that took a quarter to even start is live in days.
In practice
Building with Claude inside the air-gap, on real bank infrastructure.
A global bank’s wealth team used Claude on NayaOne-provisioned, air-gapped workspaces to build an interactive 3D visualisation of a client-journey ecosystem for an internal forum, with no dedicated development team and no corporate email required on the tooling.
Elsewhere, an insurer’s team built a working application with Claude Code and Cursor in a disconnected environment, then exposed it to pilot users, exactly the path from prompt to proof that production-grade governance demands.
Air-gapped, no corporate email needed
Sandbox accounts on provisioned VMs, isolated from the estate.
Claude Code, Cursor & Claude Design
The latest AI development tooling, ready on arrival.
Prompt to pilot users
Working apps exposed to beta users without production deployment.
Build in-house? Even better.
The sandbox is where build-vs-buy stops being a guess.
“I’m going to be doing less buying and more building in-house.” We hear it constantly, and it’s exactly why NayaOne exists. Prove the in-house build and the bought vendor on identical data, in the same environment, and let the evidence decide.
Air-gapped guardrails
Models and data stay inside the boundary, with entitlements per project.
An audit trail by default
Every evaluation is documented, ready for the governance conversation.
Days, not delivery cycles
Pre-integrated infrastructure means you start at build, not setup.
The headline
A Claude prototype on Friday can be production-bound evidence by the following week.