# AI engineering services

> Eight service lines, one way of working. Each engagement ends with a system in production, the evals that show it works, and a team that can run it without us.

- Page: https://www.ninalabs.ai/services/
- Publisher: Nina Labs AI LLC

## Services

- [AI agents in production](https://www.ninalabs.ai/services/agents/): We design, build and run AI agents that work inside your systems. They read, decide, call tools and hand the case to a person when a rule says so.
- [Agentic workflow automation](https://www.ninalabs.ai/services/workflows/): We rebuild back-office processes as workflows. Fixed steps stay as code, agents handle the steps that need judgment, and people approve the exceptions.
- [AI software factory](https://www.ninalabs.ai/services/software-factory/): We set up coding agents across your delivery pipeline, from spec to merge. Your engineers own the specs, the review gates and the releases.
- [Claude and OpenAI team enablement](https://www.ninalabs.ai/services/enablement/): We roll out Claude, ChatGPT, Claude Code and Codex to your teams, then teach each team to use them in its daily work, with admin setup, data rules and a library of tested workflows.
- [Legacy code modernization](https://www.ninalabs.ai/services/modernization/): We use coding agents to document, test and migrate legacy systems in small, verified steps, from COBOL and old Java to aging .NET and monoliths.
- [MCP and systems integration](https://www.ninalabs.ai/services/integration/): We connect agents to your systems through Model Context Protocol (MCP) servers and APIs, with real authentication, scoped permissions and audit logs.
- [Evals, security and AI governance](https://www.ninalabs.ai/services/evals-governance/): We measure whether your AI systems work, test how they fail and document them for auditors, with evals, red-team tests, tracing and compliance mapping.
- [AI strategy and operating model](https://www.ninalabs.ai/services/strategy/): We help leadership pick the AI work that pays off, decide what to build or buy, and set up the operating model that keeps AI systems owned and measured.

## What every system we ship includes

- **Evals:** A suite of real cases runs on every change to prompts, tools or models.
- **Tracing:** Every step, model call and tool call is recorded in OpenTelemetry format.
- **Approvals:** Actions that move money, change records or contact customers need a person until the data says otherwise.
- **Permissions:** Each tool has a written scope. Agents act with the user's rights or a narrow service identity.
- **Budgets:** Cost, token and latency limits per run, with alerts before they are reached.
- **Hosting:** Your cloud account or VPC by default. Open-weight models when data must stay on your hardware.
- **Models:** Chosen per task on measured quality, latency and cost. Switching is a configuration change.
- **Ownership:** Code, prompts, eval sets and infrastructure live in your repositories from the first day.
- **Handover:** A runbook, training for your team and a written exit plan in every engagement.

## Contact

Talk to an engineer through the [contact form](https://www.ninalabs.ai/contact/) or by email at contact@ninalabs.ai.