| What it does | Not given
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Not given
| Contact for pricing
|
|---|
| Pricing | Community: Free (up to 3 users, includes 100GB artifact storage, 1GB metric events, 1M API calls/month). Pro: $15 per user/month plus usage (up to 10 users). Scale: Custom quote for organizations with 8-48 GPUs. Enterprise: Custom quote for organizations with multiple large projects.
| Not given
|
|---|
| Key features | - Infrastructure Control Plane for GPU cluster management
- AI Development Center with IDE for model development
- GenAI App Engine for LLM deployment
- Experiment tracking and model management
- Dataset versioning and management
- Multi-tenancy and role-based access control
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
|
|---|
| What makes it different | - Three-layer platform combining infrastructure management, AI development, and GenAI deployment in one solution
- Open-source foundation available on GitHub
- Trusted by 2,100+ organizations and 300,000+ AI builders
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 65 ▲ +1 (up) since last check | 12 ● no change since last check |
| Trust Flow (Majestic) | 12 | 8 |
| Citation Flow (Majestic) | 32 | 29 |
| Referring domains (Majestic) | 967 | 64 |