Seek AI

Seek AI is an agentic data analyst for the modern data stack, built so that anyone can ask a question in plain language and get an answer without writing code or waiting on the data team. Founded in 2019 in New York by Sarah Nagy, it is a multi agent system in which specialized agents parse a question, generate the query, run it, and explain the findings back in a readable summary. Its natural language to query engine, called Seeker, is benchmarked at more than ninety percent accuracy on the Yale Spider test, one of the standard measures for this task. In June 2025 Seek AI was acquired by IBM to help anchor its watsonx work in New York.

A defining choice is how Seek deploys. Its Snowflake Native App runs inside a customer's own Snowflake environment using container services, which means the data never has to move or be exposed to an outside application, giving a single governed source of truth. Seek is also available as a managed service and as an embedded agent that other companies can put inside their own products. It connects to the major warehouses including Snowflake, BigQuery, Amazon Redshift, Databricks, and Azure. Security is enterprise grade, with SOC 2 Type II attestation, flexible user and group permissions, and, in the native app model, data that stays under the customer's control at all times.

Accuracy over time comes from a semantic model that Seek helps each company develop and describe using deep learning, so the agent interprets a business's own terms correctly. Every question asked is stored in a knowledge base, so repeated questions are answered instantly and the system grows more capable the more it is used, refining its semantic models through feedback and reinforcement learning. Business users can ask the same questions they would put to a data team directly inside Slack, Microsoft Teams, and email, without learning a new interface, while analysts can drop into a code editor to adjust the generated SQL by hand.

Seek pairs this with human in the loop guardrails intended to keep query results high confidence, and it exposes an application programming interface plus an embedded agent so its natural language to query capability can be built into other software. The product has been used by financial services firms, banks, and consumer goods and retail brands to let non technical staff query large and complex datasets. Seek AI uses enterprise, contact based pricing rather than a public self serve tier, and following the IBM acquisition, buyers should expect it to be positioned within IBM's broader data and watsonx portfolio, so the buying path is a sales conversation.