The agentic OS built for the enterprise sales function
Not given
Stage
Not given
Established
Founded
2023
2020
Based in
US
US
Pricing model
Paid
Contact for pricing
Pricing
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.
Not given
Key features
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
Context Graph of Work - continuously updated model of how work gets done across enterprises
Blueprint for AI roadmap planning with defensible ROI recommendations
Process Intelligence to identify bottlenecks and prioritize automation
Engineering Intelligence for unified view of developer work
Work-aware agents grounded in real operational context
Zero-integration capture across legacy and modern systems
In-environment processing with data staying in customer perimeter
Agentic Operating Procedures for governed agent execution
Audit logs and compliance tracking for every agent decision
Built on 25B+ events from 500+ observed processes
What makes it different
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
Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
Delivers AI agents that work in production at scale, not just pilots
Provides measurable ROI and audit trails for AI spending and decisions
Privacy-first architecture keeps sensitive data within customer environments
Jazon
Skan AI