| What it does | Production AI at enterprise scale
| The agentic OS built for the enterprise sales function
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| Stage | Established
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| Founded | 2016
| 2023
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Paid
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| Pricing | Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
| 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 | - AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
- Security - built-in controls for access, governance, and compliance
- Deployment Options - cloud, on-premises, or hybrid deployment flexibility
- Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
- Query Optimization - run complex analytics on petabytes of data with predictable performance
- Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
- Megalane Parallelism - sub-second queries at petabyte scale
- Zero Copy Reliability - no data duplication or redundant storage overhead
- Compute Adjacent Data Store - computation happens where data lives
- Smart Data Pipelines - continuously governed data pipelines replace manual ETL
| - 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 | - Petabyte-scale performance without moving or duplicating enterprise data
- 60-80% reduction in infrastructure costs compared to conventional architectures
- Production-grade AI delivery with expert implementation and solutions delivery teams
- Flexible licensing models aligned to how enterprise AI programs actually scale
- Unified platform for ingest, governance, query execution and optimization
| - 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) | 54 ● no change since last check | 71 ● no change since last check |
| Trust Flow (Majestic) | 16 | 18 |
| Citation Flow (Majestic) | 38 | 42 |
| Referring domains (Majestic) | 361 | 1710 |