Outcome machines are durable agents built on your organization’s knowledge, tools, memory, and guardrails. They grow stronger with every run, making outcomes flow like water.
Request a demoWe are an Applied Super Intelligence Lab, focused on building the foundations that make outcomes flow
- Chatbots
- What it does
- Answer questions
- Your part
- You ask each question.
- How long it works
- One reply
- Responsibility
- Agents
- What it does
- Complete tasks
- Your part
- You delegate each task.
- How long it works
- One task
- Responsibility
- Outcome Machines
- What it does
- Own outcomes
- Your part
- You define success and guardrails.
- How long it works
- Ongoing
- Responsibility
How an outcome machine works
Outcome and responsibility 01Set the outcome
Define what you want to achieve, how you’ll measure success, and the boundaries of its role.
Company context and tools 02Bring it into your company
Teach it what your team knows and connect the tools they use. The setup your most AI-forward people built for themselves becomes part of how the whole organization works.
Team collaboration 03Work alongside it
Hand it the work the way you would to a trusted colleague. Check in on progress, give direction when it matters, and let it ask when it's unsure. It works beside your team, not instead of it.
Knowledge that compounds 04Learning compounds with every outcome
Every outcome captures what worked, what didn’t, and why. Instead of disappearing in individual chat histories, that learning becomes organizational infrastructure. Every outcome that follows starts from what your company has already learned.
Engineered for outcomes
Great outcomes depend on what you don’t see. We engineer the foundations that make them reliable, repeatable, and better over time.
Organizational Harness
Agents never see your keys
Isolated sandbox & filesystem
Company brain
Any model
Your agents, every surface
Budgets per person
Connectors
Code mode
Triggers and scheduled jobs
Memory and skills