Partners

Built on the whole frontier.

We partner with the labs, clouds, and platforms that define what AI can do, so your system never has to bet on just one of them.

Frontier models

The labs that define what AI can do. We use the best model for each job, and design so you can switch.

Select Partner

Anthropic

We build agents and reasoning systems on Claude, and use Claude Code across our own engineering. Strong fit for long, policy-heavy work where the model has to show its reasoning.

What we build with

  • Claude models
  • Claude Code
  • Agent workflows
  • MCP

Select Partner

OpenAI

We build on OpenAI models directly and through Azure OpenAI, matching each task to the model that does it well for the least money.

What we build with

  • GPT models
  • Azure OpenAI
  • Voice and multimodal
  • Evaluation

Cloud

Where your systems and data already live. We deploy inside your tenant, under your identity and security controls.

Solutions Partner

Microsoft Azure

Years of .NET and Azure engineering are where AppStream comes from. We put AI into Azure estates without leaving your identity, data, or compliance boundaries.

What we build with

  • Azure AI Foundry
  • Azure OpenAI
  • .NET
  • Entra ID

Solution Partner

Amazon Web Services

We build and run production systems on AWS, from serverless platforms to model hosting, and connect them to the rest of your stack.

What we build with

  • Amazon Bedrock
  • Serverless
  • Data pipelines
  • Migration

Platforms

Where the work happens. AI is worth the most inside the systems your teams and customers already use.

Solution Partner

Salesforce

We connect AI to the customer data and workflows in Salesforce, so agents can work where your sales and service teams already work.

What we build with

  • CRM data
  • Service workflows
  • Agents in Salesforce
  • Integration

Solution Partner

Vercel

We ship the interfaces people use to work with AI on Vercel, including the site you’re reading.

What we build with

  • Next.js
  • AI SDK
  • Edge delivery
  • Customer-facing apps

Why it matters

The model isn’t the advantage. So we don’t bet on one.

  • The best model for each job

    One step might run on Claude and the next on GPT, each chosen by how well it does your work and what it costs.

  • Designed for change

    When a better model ships, your evaluations show whether to switch, and the architecture lets you do it without a rebuild.

  • Inside your cloud

    Systems deploy in your Azure or AWS tenant, under the identity, data, and compliance controls you already run.

Already on one of these? Let’s put AI to work there.

Tell us which models, clouds, and platforms you run today. We’ll show you where AI can do real work inside them.