Nina Labs
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Platforms

The AI labs and platforms we work with

We build with models and tools from every major lab, and we teach your teams to use them in their daily work. We are independent: we choose per task and keep your option to switch.

  • Anthropic
  • OpenAI
  • Google Gemini
  • Meta
  • Mistral AI
  • Perplexity
  • DeepSeek
  • Z.ai
  • Qwen
  • Kimi

01Anthropic and OpenAI

The two platforms we roll out most

Most of our enablement work runs on Claude and ChatGPT. We set them up for the whole company, connect them to your tools and train each team on its own tasks. Engineers get Claude Code and Codex on their repositories.

Anthropic

  • Claude
  • Claude Code
  • Claude Agent SDK
  • Claude Managed Agents

We roll out Claude to whole companies and build production agents on the Claude Agent SDK. Engineering teams get Claude Code set up on their own repositories.

What we do

  • Claude Enterprise setup: SSO, roles, data controls and connectors to your tools
  • Projects and Agent Skills for each team's repeat tasks
  • Claude Code for engineers: CLAUDE.md files, hooks, permissions, review rules and CI
  • Production agents on the Claude Agent SDK or Claude Managed Agents
  • Claude through the Claude API, Amazon Bedrock, Google Cloud or Microsoft Foundry

OpenAI

  • ChatGPT
  • Codex
  • Agents SDK
  • Responses API

We roll out ChatGPT Enterprise and Codex, train each team on its real work, and build agents on the OpenAI Agents SDK and the Responses API.

What we do

  • ChatGPT Enterprise setup: SSO, workspace roles, data controls and connectors
  • Shared projects and workflows for each team's repeat tasks
  • Codex for engineers: cloud tasks, CLI, IDE extension, AGENTS.md files and code review
  • Production agents on the OpenAI Agents SDK and the Responses API, including realtime voice
  • OpenAI models through the OpenAI API, Microsoft Foundry or Amazon Bedrock
How we roll out Claude and ChatGPT to teams

02Clouds

Agent platforms on the cloud you already run

  • Google Cloud

    Vertex AI · Gemini Enterprise · ADK

    Agents and workflows on Vertex AI, now the Gemini Enterprise Agent Platform, with the Agent Development Kit, Gemini models and Gemini Enterprise for teams.

  • Microsoft

    Microsoft Foundry · Copilot Studio · Agent Framework

    Agents on Microsoft Foundry and the Microsoft Agent Framework, Copilot Studio for business teams, and Entra Agent ID for agent identity.

  • Amazon Web Services

    Amazon Bedrock · AgentCore · Strands

    Claude, OpenAI and open-weight models on Amazon Bedrock, with Bedrock AgentCore for runtime, memory, identity and observability.

03More labs

Frontier and open-weight models from every major lab

Open-weight models from DeepSeek, Z.ai, Qwen, Kimi and MiniMax can run on infrastructure you control, so your data stays where your rules say it must.

  • Google DeepMind

    Gemini · Gemma

    Gemini models for long-context and multimodal work, and Gemma for open-weight deployments.

  • Meta

    Llama

    Llama open-weight models for private deployments and fine-tuning on your own data.

  • Mistral AI

    Mistral Large · Codestral

    European models with on-premises options, for teams with strict data residency rules.

  • Perplexity

    Sonar API · Enterprise

    Search-grounded answers with citations, for research agents and current-events questions.

  • DeepSeek

    DeepSeek models

    Open-weight reasoning and coding models with permissive licences, run on infrastructure you control.

  • Z.ai

    GLM models

    GLM open-weight models from Z.ai for coding and agent tasks, hosted where your data rules allow.

  • Alibaba Qwen

    Qwen models

    A wide range of Qwen open-weight models, from small on-device models to large coding models.

  • Moonshot AI

    Kimi models

    Kimi models for long-context and agentic coding work, deployed on infrastructure you choose.

  • MiniMax

    MiniMax models

    Open-weight text and speech models, used where cost per token or latency decides the choice.

  • Cohere

    Command · Embed · Rerank

    Retrieval models for search over company knowledge, with private deployment options.

  • NVIDIA

    NIM · Nemotron

    NIM microservices and Nemotron models for high-throughput serving on your own GPUs.

  • Grok

    Grok models

    Grok models through the API, evaluated against the other labs on your own cases.

04Model choice

How we choose a model

  1. 01

    Measured on your cases

    We run the same eval set against several models and compare quality, not marketing claims.

  2. 02

    Cost and latency

    We price each option per completed task, including retries, and check the response time your users need.

  3. 03

    Data and residency

    We match each model to your data rules: vendor API, your cloud, or open weights on your own hardware.

  4. 04

    Room to switch

    We build on open protocols such as MCP and keep prompts and evals portable, so a model change is a configuration change.

05 Stack

The full stack

Labs, agent platforms, coding agents, protocols, clouds and observability tools we work with.

Frontier labs

  • Anthropic Claude
  • OpenAI GPT
  • Google Gemini
  • Meta
  • Mistral AI
  • Perplexity
  • Cohere
  • Grok

Open-weight models

  • DeepSeek
  • Z.ai GLM
  • Qwen
  • Kimi
  • MiniMax
  • Llama
  • Gemma
  • NVIDIA Nemotron

Agent platforms

  • Claude Agent SDK
  • OpenAI Agents SDK
  • Google ADK
  • Vertex AI
  • Microsoft Foundry
  • Amazon Bedrock
  • LangGraph
  • LlamaIndex

Coding agents

  • Claude Code
  • OpenAI Codex
  • GitHub Copilot
  • Cursor
  • Kiro
  • Google Antigravity
  • Windsurf

Protocols

  • Model Context Protocol
  • Agent2Agent (A2A)
  • AGENTS.md
  • Agent Skills

Clouds and runtimes

  • AWS
  • Microsoft Azure
  • Google Cloud
  • NVIDIA NIM
  • Hugging Face
  • vLLM
  • Ollama
  • Your own hardware

Orchestration

  • Temporal
  • n8n
  • AWS Step Functions
  • Azure Durable Functions

Observability and evals

  • OpenTelemetry
  • Langfuse
  • LangSmith
  • Braintrust
  • Arize Phoenix
  • Promptfoo

06 FAQ

Questions about platforms

Are you an official partner of these companies?

We are independent. We use these labs' products and APIs for our clients and are not affiliated with them, apart from the Microsoft for Startups program we belong to. The logos on this site identify the products we work with.

Can you train our teams on Claude and ChatGPT?

Yes. We set up Claude Enterprise, ChatGPT Enterprise or both, write the data rules with your security team, and run hands-on workshops for each team on its own tasks. Engineers get Claude Code and Codex set up on their repositories.

Do you work with Google Vertex AI?

Yes. Vertex AI is now part of the Gemini Enterprise Agent Platform. We build agents there with the Agent Development Kit and Gemini models, and we also run Claude and open-weight models on Google Cloud.

Can we use DeepSeek, Qwen, GLM or Kimi models safely?

Their open-weight models can run on infrastructure you control, such as your own cloud account or GPUs, so no data goes to the model maker. We check each model's licence and run your evals before we recommend it.

What if a better model comes out next month?

That happens often. We keep prompts, tools and eval sets portable and build on open protocols such as MCP. A model change is then a configuration change plus an eval run, not a rebuild.

Tell us which tools your teams already pay for

We will show you how to get more out of them, and where an agent or a different model would do the job better.

Talk to an engineer contact@ninalabs.ai