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The AI Platform for teams that build with agents.

A multi-agent, multi-human platform for maximizing human potential across the entire organization. Build with specialists, route across any model, and turn repeatable work into AI-enabled mini apps.

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The AI Platform desktop app showing a chat in the design-review channel.

Platform layer

One AI operating room for the whole company.

Multi-human rooms

Bring operators, leaders, builders, and domain experts into the same AI workspace.

Specialist agents

Reusable specialists carry instructions, tools, knowledge, and benchmark history.

Model routing

Provider-agnostic execution across frontier, local, and private models.

Mini app builder

Turn repeatable workflows into AI-enabled apps that any team can run.

Specialists

Raw models are ingredients. Specialists are the workflow.

The AI Platform wraps provider choice with durable roles, knowledge, permissions, tools, and evaluation. Your team gets a repeatable specialist instead of another blank chat box.

Model router

Selects by quality, latency, and cost

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OpenAI GPT-5 · GPT-4.5
Anthropic Claude 4.7 Sonnet · Opus
Google Gemini 2.5 Pro · Flash
OpenRouter 100+ aggregated models
Cloudflare Workers AI · edge
Local Ollama · LM Studio
Private Self-hosted endpoints

Benchmark-backed advantage

More accurate, faster, and lower cost than using models alone.

Your benchmarks should not disappear into a research folder. The platform puts those results into routing, specialist defaults, and operating policy so each team benefits from what has already been proven.

Higher accuracy

Specialists add role memory, tool discipline, and evaluation loops.

Faster speed

Parallel agent work and routed models reduce end-to-end cycle time.

Lower cost

The right provider, model, and specialist policy for each task.

AI mini apps

Let every team ship their own AI-enabled tools.

Package specialists, prompts, data sources, approvals, and outputs into mini apps. Teams can run them without learning model settings or rebuilding the same workflow every week.

Customer research desk
Contract review board
Hiring pipeline copilot
Finance variance analyst
Support resolution room
Launch readiness center

Operating model

Designed for autonomy without losing accountability.

Four operating principles that let teams move quickly without giving up the human signoff and audit trail that keeps the work safe.

Plan with people in the loop

Humans set the goal and review the plan before any agent acts — no autonomous decisions until you sign off.

Delegate to parallel specialists

Specialist agents work concurrently, each scoped to a single domain, so a request fans out instead of bottlenecking on one model.

Review evidence before action

Every output ships with citations and a paper trail you can audit, so the team trusts the result before it leaves the platform.

Publish workflows as mini apps

Promote any approved flow into a reusable mini app — the rest of the org runs it without rebuilding the prompt or the policy.

Start building

A developer-site rhythm, tuned for an app-native platform.

Three steps from a first prompt to a pattern your team can reuse.

01

Choose the work surface

Start from a room, a workflow, or a mini app depending on how repeatable the work needs to be.

02

Route to the right specialist

Match the request to agents, models, tools, and policy instead of making every team tune prompts.

03

Ship the pattern

Turn the proven path into a reusable app with human review, citations, and a clean audit trail.

Every team on one AI Platform