Ship agents into systems you can't afford to break
Context infrastructure for AI agents
Stage
Not given
Startup
Founded
Not given
Not given
Based in
IL
GB
Pricing model
Freemium
Freemium
Pricing
Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
Not given
Key features
MCP server for AI agents and assistants
Python and TypeScript SDKs
REST API and CLI for scripts and coding agents
No-code workflow canvas
Managed authentication to connected systems
Audit trail of agent actions
Tool permissions scoped per agent
On-premises agent for systems behind firewall
Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
Root cause analysis and backend execution of fixes
Memory system with self-managing advanced memory
Isolated per-tenant instances with version rollback
Portable context server with files, notes and links
Sub-document multi-modal hybrid search
Structured data extraction from PDFs, websites and images
Autonomous agents for knowledge base automation
99.9% uptime SLA
AES-256 encryption at rest and SSL in transit
TypeScript SDK and REST API
Model-agnostic and framework-agnostic
What makes it different
Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
On-premises deployment capability for regulated or sensitive systems behind firewalls
Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
State-of-the-art on two leading AI memory benchmarks
Full-stack data layer eliminating need for multiple services
Production-tested at scale powering Fabric platform
Self-improving memory that tracks relationships and resolves contradictions