Single Origin: The Context Engine & AI Agents for Data Teams

Single Origin provides the deep organizational context that generic LLMs lack, and delivers out-of-the-box, specialized AI agents: query optimization, query code review, query debugging, to automate your most critical data workflows.

The Challenge: Agents Lack Deep Data Context

Generic LLMs don’t understand your private business logic—how your tables relate, which columns matter, or where bottlenecks hide.

Instead of expensive and noisy RAG pipelines, our Context Engine uses proprietary clustering to distill your data warehouse's execution history and metadata into a clean, deterministic context graph. When engineering teams try to build this deep context themselves, they hit major hurdles:

• The Cost of Context: Brute-forcing petabytes of raw query logs through standard RAG pipelines is prohibitively expensive and noisy. (For example, LinkedIn spent ~$3M on a single LLM run just to analyze one week of query logs).
• Closed Ecosystems: Major compute providers (Snowflake, Databricks, AWS) hide their internal execution logic, making it nearly impossible for internal teams to systematically generate a true context graph.
• Missed Insights: Without a structured way to analyze historical compute patterns, agents cannot uncover the hidden optimization opportunities buried in your data infrastructure.

The Solution: Enterprise Context Graph And Vertical Data Agents

Built on top of this rich context graph, our specialized AI agents execute complex workflows with high precision:

• Optimization Agent: Automatically identifies execution bottlenecks and rewrites inefficient queries to reduce compute costs.
• Code Review Agent: Validates logic, enforces internal coding standards, and catches risky changes before they merge.
• Analysis Agent: Answers complex, ad-hoc data questions accurately by understanding actual historical usage and table relationships.
• Audit & Compliance Agent: Tracks data usage, maps deep column-level lineage, and ensures governance protocols are maintained.

How It Works

Single Origin integrates seamlessly into your agentic workflow, acting as the intelligence layer between your data warehouse and your AI.

1. Connect: Link Single Origin to your compute platforms (Snowflake, BigQuery, Databricks, AWS, Trino, etc.).
2. Compile: Our proprietary parsers ingest your execution history, metadata, and lineage to build a rich, mathematically efficient context graph.
3. Expose: You connect your AI agents to the Single Origin MCP server.
4. Execute: Agents query our MCP tools in real-time to gain historical evidence, enabling them to confidently write PRs, optimize slow queries, or safely deprecate unused assets.

Trusted by Data-Forward Teams

We are the standard for infrastructure teams scaling Agentic AI.

• Roblox: Reduced metric storage by 15% and eliminated billions of unneeded time series.
• Coinbase: Ensures precise data context for their engineering workflows.
• Palo Alto Networks: Secures their data foundation for rapid AI adoption.

Our team consists of senior data infrastructure leaders from Uber, Snap, Stripe, and Meta. We built the internal tools that scaled these data platforms, and now we are bringing that exact capability to the Agentic Economy.