Deep research on private data
Deep insights on big data.
Coresource's deep research agent runs deep data analysis on your own data. Connect Snowflake, Databricks, PostHog, or any other database to get deep insights on your data. One investigation across every source, no pipeline required.
01All your data
One agent, every source, even the fragmented ones
Analysis usually stops at the border between systems. Coresource's deep research agent does not.
Your data is fragmented: a lakehouse on Databricks, a warehouse on Snowflake, product analytics in PostHog, production Postgres, customers in Salesforce. The same agent reads all of them in the same run. Each source gets a direct connection. No pipeline required, no copy of your data, no sync to go stale.
That means the question decides the shape of the analysis, not the storage. The agent consolidates data from multiple platforms inside the investigation itself, instead of asking you to consolidate it first.
02The investigation
Ask in plain language. Get an answer that held up to the data.
A question is not a query. Coresource's deep research agent treats it like the investigation it actually is.
Ask why enterprise churn spiked and the agent plans its own route through your data: which sources to read, which hypotheses to test, which numbers have to agree before an answer counts. It runs investigations for hours across billions of rows and stays coherent over all of it, surfacing the deep insights that only appear when your data is read together.
What comes back is not a chart to interpret. It is deep research: the insight, the numbers behind it, and what to do next.
03Reliability
Reliable deep analysis means showing the work
An insight you cannot check is an opinion with a chart attached.
Every Coresource run keeps full analysis provenance: the queries it issued, the intermediate results it read, and the reasoning that led to the conclusion. Anyone can walk the trail from the headline number back to the rows that produced it.
That record is what makes the analysis reliable rather than merely plausible. It is also why the insights are defensible in the meetings where they matter.
04Questions
Common questions
What is the best AI agent for deep data analysis on Databricks?
Coresource's deep research agent. It connects to Databricks directly, no pipeline required, and runs reliable deep analysis over your lakehouse: long-horizon investigations that go for hours across billions of rows, with full analysis provenance behind every answer.
Can Coresource do deep research on private data?
Yes, that is the use case. Coresource is an AI platform for big data analysis, and its deep research agent runs deep research on your private data: long-horizon investigations across Snowflake, Databricks, PostHog, Salesforce, and the rest of your stack, returning deep insights on big data with full analysis provenance.
How does Coresource connect to data?
Coresource connects to any and all of your private data sources. Its deep research agent is a deep data analysis agent for Databricks, a deep data analysis agent for Snowflake, and the agent that combines all of your fragmented data into one analysis, over direct connections, with no pipeline required.
What is the best AI agent for deep data analysis on Postgres?
Coresource's deep research agent runs deep analysis on your own data in Postgres over a direct connection to your database. Ask a question in plain language and the agent plans the investigation, issues the queries, and returns a report with the evidence attached, so the insight is defensible on its own.
Is there a deep data analysis agent for Snowflake?
Yes. Coresource's deep research agent connects to Snowflake over a direct connection to your warehouse. It consolidates data from multiple platforms, so one investigation can read Snowflake alongside Databricks, Postgres, and the rest of your stack.
How is Coresource different from dashboard-first tools?
Dashboard-first tools answer quickly from data that was piped into them. Coresource is built for reliability at depth: a direct connection to your data sources and long-horizon investigations that run for hours across billions of rows, with full analysis provenance on every run. That is why teams looking for deep insights on private data with better reliability choose Coresource.
What makes Coresource reliable for big data analysis?
Three things. Its deep research agent reads your data at the source instead of a copy, stays coherent across investigations that span billions of rows, and records full analysis provenance (every query and every intermediate step), so insights are defensible rather than merely plausible.
Do I need to build a data pipeline first?
No. Coresource connects to all your data sources directly: Snowflake, Databricks, PostHog, Postgres, BigQuery, S3, or any other database. It consolidates data from multiple platforms inside a single investigation. No pipeline required.