Source control for coding agents with conflicts settled before code exists
Stage
Established
Startup
Founded
2016
Not given
Based in
US
Not given
Pricing model
Contact for pricing
Not given
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.
Free: $0 for up to 3 projects and one person (never charges). Builder: $15 a month or $150 a year. Team: $36 per person a month or $360 per person a year. New accounts start on Team for 14 days free with up to 5 projects.
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
Agents declare plans before writing code
Written rules automatically settle conflicting plans
Integration with Claude Code, Codex, and MCP clients
GitHub repository mirroring after each merge
Intent-based workflow instead of pull requests
Drift detection comparing code changes to declared plans
No branch names; work identified by intent number
Write rules per folder with CI files people-only
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
Conflicts settled before any code is written
Agents review intent goals and plans, not line-by-line diffs
Works with your existing agents without leaving GitHub
Only humans approve merges, never agents or models
Ocient
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