AI code review for coding agents using four frontier models in debate
Production AI at enterprise scale
Stage
MVP
Established
Founded
2026
2016
Based in
Not given
US
Pricing model
Freemium
Contact for pricing
Pricing
Not given
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.
Key features
Deliberate for open design decisions before code exists
Audit to stress-test drafted work before shipping
Local review gates that block risky writes and commits
Bring your own API keys or models
Works across eight certified agent surfaces
Setup in under a minute with npx command
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
What makes it different
Four frontier models debate instead of single-model review avoiding blind spots
All gate code and tools are open source and MIT-licensed
Never trains on user code or content
Pay-per-call pricing with no token markup or per-seat fees
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
Ocient