| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| 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 | Not given
| US
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| Pricing model | Not given
| Paid
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| Pricing | Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
| 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 | - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
| - 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 | - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
| - 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 |
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| DR (Domain Rating by Ahrefs) | 8 ▼ −1 (down) since last check | 71 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 18 |
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| Citation Flow (Majestic) | 20 | 42 |
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| Referring domains (Majestic) | 22 | 1710 |
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Seclai
Jazon