Run and fine-tune models. Deploy custom models. All with one line of code.
Context graph for AI-native revenue teams
Stage
Not given
Established
Founded
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2021
Based in
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Pricing model
Paid
Contact for pricing
Pricing
Most models billed by time based on hardware used (CPU $0.000100/sec, T4 GPU $0.000225/sec, L40S GPU $0.000975/sec). Some models billed by input/output tokens or generated items. Private custom models billed for all uptime; fast-booting fine-tunes billed only for active processing.
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Key features
Run thousands of community-contributed open-source models
Fine-tune models with custom data to create specialized versions
Deploy custom models using Cog, an open-source packaging tool
Automatic scaling based on demand
Pay only for compute time used
Image generation from text
One context layer connecting all GTM tools and AI agents
Agent observability with end-to-end tracing
Source citations for every answer
Permission-aware answers scoped to user access levels
Playbook grounding to enforce business semantics
Corrections inbox for agent-generated changes
Integration with Claude, ChatGPT, Slack, Salesforce and other tools
Open Model Context Protocol (MCP) for any client
SOC 2 Type II compliance and GDPR/CCPA support
140x faster answers via pre-compiled context
What makes it different
One-line code interface for running models without ML expertise
Automatic infrastructure scaling without manual management
Open-source community with thousands of production-ready models
Fine-tuning capability to customize models for specific tasks
40x lower cost through pre-compiled context vs raw data processing
98% answer accuracy with no hallucinations through checked data
Agent-agnostic: works with any AI tool your team uses
Never trains on customer data with enterprise-grade security
Set up within days with forward-deployed engineer support
Endgame