We build the integration layer — APIs, retrieval pipelines, automation scripts, and custom interfaces — that connects LLMs and AI services to your production environment.
The challenge
Proof-of-concept scripts break under real load, lack error handling, and live on one developer's laptop. Production AI needs version control, testing, secure credential management, and documentation your team can maintain.
Our approach
Step 1DesignSpecify inputs, outputs, triggers, and failure modes aligned with your architecture.
Step 2BuildImplement integrations using your preferred stack — Python, Node, cloud functions, or containers.
Step 3TestValidate with real data samples, edge cases, and latency requirements.
Step 4DeployShip to staging, run UAT with your team, then promote to production with monitoring.
Typical deliverables
- Working integration code in your repository
- API documentation and runbooks
- Automated tests for critical paths
- Deployment scripts and environment config
- Handoff session with your engineering team
Nimble AI Inc · 150 S 19th Ave, Lemoore, CA 93245 · hello@nimbleai.online