| What it does | AI agent orchestration platform that models workflow with triggers, actors, stages, gates, permissions, and outcomes
| The agentic OS built for the enterprise sales function
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| Stage | Not given
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| Founded | Not given
| 2023
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| Based in | US
| US
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| Pricing model | Not given
| Paid
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| Pricing | Not given
| Build free. Take agents to production: $100K a year to start, includes software and team support. Govern every agent: customized pricing. Agent-months billing: Assistant (½ agent-month), Specialist (1 agent-month), Expert (2 agent-months). No token billing.
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| Key features | - Role-based organization with humans or AI agents in any position
- Workflow definitions with triggers, stages, gates, and outcomes
- Agent-agnostic design supporting Claude, Codex, Gemini, and local models
- Scoped credentials with least privilege access per stage
- Deterministic gates for tests, reviews, and approvals
- Audit trail with hash-chained tamper-evident ledger
- Local-first deployment with optional cloud hosting
- Isolated git worktrees for independent work and verification
- Budget tracking and spend monitoring per organization
- Separation of duties enforced in code
| - Account prioritization ranked on fit, intent, timing and prior engagement
- Prospect research with deep briefs including funding, hiring, tech stack, and stakeholders
- Personalized outbound email, LinkedIn, and call scripts
- Multi-channel outreach sequencing across email, LinkedIn, phone and ads
- Automatic meeting booking with context sharing
- Call intelligence and scoring against sales methodology
- Automatic CRM updates for contacts, activities, and deal stages
- Pipeline risk detection and deal velocity analysis
- Real-time deal coaching with battlecards and objection handling
- Expansion and renewal workflow automation
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| What makes it different | - Orchestration layer that treats work as executable processes rather than remembered habits or wikis
- Roles swappable between humans and AI agents without rewriting workflows
- Credentials and secrets held by infrastructure, never exposed to AI models
- Autonomous AI decision-making within defined stages, deterministic controls at stage boundaries
| - Stays in your environment - deploys in AWS, Azure, GCP or on-premise with no data leaving
- Revenue-first reporting that traces activity back to revenue goals rather than activity metrics
- No lock-in with ability to export agents and workflows
- Works with any AI model or framework
- Production deployment in 30 days with co-built implementation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 24 ▲ +1 (up) since last check | 71 ● no change since last check |
| Trust Flow (Majestic) | 7 | 18 |
| Citation Flow (Majestic) | 31 | 42 |
| Referring domains (Majestic) | 18 | 1710 |