Single OriginTurn Generic LLMs into Infrastructure-Aware Data Experts.
Single Origin powers your AI agents with your enterprise's complete, private query history via a powerful Model Context Protocol (MCP). Equip your agents to safely optimize data and infrastructure with absolute precision.
Trusted by Industry Leaders
Enterprise data teams at leading companies choose Single Origin to scale smarter and move faster
“Single Origin transformed our data infrastructure, reducing our cloud costs by 35% while dramatically improving our team's productivity and time-to-insight.”
Senior Data Engineering Manager
Fortune 500 Company
AI Agents are blind to your production reality.
Enterprises are rapidly adopting Agentic AI to accelerate data engineering. But generic LLMs only know public syntax—they don't understand your private business logic, historical execution profiles, or specific data constraints.
The Cost Trap
Feeding raw, petabyte-scale query logs into LLMs to build context is prohibitively expensive and extremely noisy.
The Precision Bottleneck
Deleting storage or altering tables requires a zero margin for error. Generic RAG pipelines simply aren't precise enough at the row, column, and table level.
Closed Ecosystems
Major compute engines (Snowflake, Databricks, AWS) hide their execution logic, making it nearly impossible to build your own context graphs.
Give your AI Agents “Enterprise Memory.”
Single Origin bridges the gap between your massive, messy query logs and your AI agents. We provide a turnkey MCP server that continuously builds a highly efficient context graph from your actual production compute history.
For Code Workflows
Streamline the journey from insight to merged PR with historically accurate evidence.
For Infrastructure
Safely prune unused storage and optimize pipelines with deterministic confidence.
Built by Data Infrastructure Veterans
Backed by a founding team of senior data infrastructure leaders from the companies that defined modern data engineering
Our team has built and scaled data infrastructure at companies processing petabytes of data daily. We're bringing that expertise to redefine how modern data teams work.
Unmatched context efficiency. Built for scale.
Why not just build a RAG pipeline over your query logs? Because brute-forcing context is unscalable.
Proprietary Clustering
Instead of spending millions of dollars on LLM tokens to parse noisy, petabyte-scale query logs, our specialized clustering algorithms extract perfect context at a fraction of the compute cost.
Absolute Precision
Our tools don't guess. We map exact table, column, and row-level usage so agents can execute structural changes with zero margin for error.
Native Dialect Parsers
We've reverse-engineered and parsed the execution patterns across closed-source platforms (AWS, GCP, Databricks, Snowflake) so your internal team doesn't have to.
Plug directly into the Agentic Economy.
We don't force you into a clunky new UI. Single Origin delivers intelligence directly to the agents your engineers already use via standard MCP tools.
table_detailRetrieve deterministic table schemas, usage stats, and column-level lineage.
query_profile_detailFeed exact historical execution bottlenecks directly into the LLM context window.
list_similar_query_groupsInstantly cluster millions of historical queries to find the exact precedent an agent needs to write safe code.