AI Company Emulator

We build your AI workforce.

Not chatbots. Not copilots. Entire departments of AI coworkers that think, learn, and run themselves. We design, deploy, and evolve autonomous teams tailored to your business.

Our team has built AI at

Google
Google DeepMind
Anthropic
OpenAI
Microsoft
Google
Google DeepMind
Anthropic
OpenAI
Microsoft

Not another AI tool.
An entire company.

Most AI consultancies hand you a chatbot and a slide deck. We deploy a self-orchestrating workforce — AI coworkers with persistent memory, real skills, and the ability to coordinate across departments without human intervention.

Your AI finance team closes the books. Your AI ops team clears the backlog. Your AI research team surfaces insights while everyone else is asleep.

Your coworkers use your tools.

AI coworkers plug directly into the systems your team already uses. They read Slack, update Jira, push to GitHub, and sync with your CRM — no migration, no new platforms, no ramp-up time.

Salesforce
Snowflake
Rippling
QuickBooks
HubSpot
Ramp
Linear
NetSuite
Jira
Salesforce
Snowflake
Rippling
QuickBooks
HubSpot
Ramp
Linear
NetSuite
Jira

How it works

From first call to self-running departments.

No 18-month timelines. No 200-slide decks. We ship working AI workforces, not recommendations.

Phase 01

Map

We study your org — every workflow, handoff, and bottleneck. We find the departments where AI coworkers can replace entire process chains, not just individual tasks.

Phase 02

Design

We architect your AI workforce: which coworkers you need, what skills they have, how they coordinate. Every agent gets a role, memory, and set of tools.

Phase 03

Build

We deploy your AI company using our emulator. Coworkers onboard, form teams, and start executing — with deterministic guardrails and human oversight built in.

Phase 04

Evolve

Your AI workforce learns from experience. Coworkers develop new skills, optimize their own workflows, and scale without adding headcount.

Case Studies

What happens when you replace process chains with AI departments.

FINTECH

Compliance Review

The Problem

Manual document review across 200+ regulatory filings per quarter

The Outcome

85% of filings processed autonomously. Review cycle cut from 3 weeks to 4 days.

ENTERPRISE SAAS

Customer Onboarding

The Problem

CS team spending 60% of time on repetitive onboarding workflows

The Outcome

Full onboarding handled by AI coworker team. 3x more customers onboarded per quarter.

LOGISTICS

Vendor Management

The Problem

Contract terms scattered across 500+ vendor agreements, no single source of truth

The Outcome

AI department maintains living vendor database. $2.1M in missed renewals caught in Year 1.

Ready to build your AI company?

Tell us what your team spends too much time on. We'll show you what it looks like when AI coworkers handle it.