Platform
The platform that keeps your data AI-ready
Sidecar continuously checks your models, data quality, and operating standards, then makes reviewable changes when something drifts.
Context Garage
The governed context behind every agent
Sidecar synthesizes schemas, lineage, query logs, dbt projects, and the decisions around them into versioned context. AI tools and agents retrieve the same accurate understanding of your data platform.
- Warehouse, dbt, BI, lineage, and usage modeled together
- Versioned context with ownership and change history
- Governed retrieval for Sidecar agents and the AI tools you approve
Agent Console
The execution layer that keeps the platform ready
Sidecar agents check your standards, resolve gaps, and return reviewable changes. Every run uses your governed context and keeps a human in control.
- Continuous evaluations across reliability, quality, and standards
- Agents resolve failed checks with full stack context
- Changes land as reviewable pull requests, drafts, or reports
What Sidecar covers
The whole stack stays under evaluation
Modeling, quality, approved surfaces, retrieval, reliability, and technical debt share one set of standards. Sidecar detects gaps and sends the right agent to resolve them.
Data modeling for AI
Keep models, metrics, and relationships structured so AI systems can reason over them accurately and consistently.
Quality evaluations
Continuously test the data and outputs that AI workflows rely on, with evidence attached to every result.
Approved AI surfaces
Define where Claude, BI tools, analyst workflows, and other AI systems can access data and which context each surface receives.
Context and retrieval
Serve versioned business context from lineage, metadata, usage, and team decisions to every approved tool and agent.
Reliability and governance
Monitor freshness, volume, and schema while enforcing ownership, access, naming, and testing standards as the platform evolves.
Technical debt automation
Deprecate unused tables, untangle duplicate models, and backfill missing tests before debt weakens AI quality or slows delivery.
Ready today. Continuously ready tomorrow.
Your forward deployed engineer establishes the standard. Sidecar evaluates it every day, resolves drift, and keeps the data platform ready for the AI tools your team uses.