Incerto is a specialized player in the data-agent layer of the AI stack. Their primary contribution is the development of agents capable of translating natural language into complex database actions, including queries, schema modifications, and data operations. This is a critical building block for any enterprise agent strategy because structured data remains the primary source of truth for most businesses.
They are active in the 'Agentic BI' and 'Data Engineering' sectors, pushing the boundary from read-only data assistants to read-write data agents. By focusing on infrastructure-local deployment, they provide a blueprint for how agents can safely interact with sensitive corporate data. This makes them relevant to developers building agentic workflows that require deep, autonomous integration with SQL-based systems.
For the last decade, business intelligence followed a predictable pattern: data engineers built pipelines, analysts built dashboards, and executives looked at the results a few days later. This system is inherently latent. If a leader has a question that wasn't anticipated by the original dashboard design, they are forced back into a multi-day cycle of requests and revisions. Incerto is part of a nascent cohort of companies attempting to collapse this cycle entirely by moving from static visualizations to autonomous data agents.
Founded in 2023, Incerto Technologies builds agents designed to live within a company's data infrastructure. The primary interface is simple: plain English. Users ask questions of their data as they would a person, and the agent handles the translation into technical operations. While many companies are working on basic Text-to-SQL capabilities, Incerto takes a more expansive view of the agent's role. Their technology is built to handle not just simple read-only queries, but also schema edits and more complex data operations. This is a significant distinction because it moves the AI from a simple search tool to a functional database participant.
The most significant barrier to AI adoption in the enterprise is the security of proprietary data. Large language models are powerful, but most companies are hesitant to send their entire database schema or sensitive records to a third-party cloud. Incerto addresses this by emphasizing deployment within the user's own infrastructure. This design choice is practical; it ensures that the agent has the necessary low-latency access to the data while keeping the governance and security controls in the hands of the organization.
By operating on-site or within a private cloud environment, the agent can learn the specific nuances of an organization's data schema. This is critical because enterprise data is rarely clean or well-documented. An agent needs to understand that 'revenue' in one table might mean something different than 'revenue' in another, a task that requires more than just a general-purpose model. The Incerto approach involves creating a more context-aware system that can navigate these internal complexities to provide accurate, real-time insights.
Incerto is a small, lean operation, currently in the 1-10 employee range. This is typical for the 'agentic' wave of startups where the focus is on high-leverage engineering rather than massive sales teams. They occupy a space that sits between traditional BI vendors like Tableau and the new guard of LLM-native data tools.
Their competition is twofold. On one side are the incumbents like Snowflake and Databricks, which are rapidly building their own 'AI assistant' features into their platforms. On the other side are specialized startups like Vanna or Defog, which are also racing to solve the Text-to-SQL accuracy problem. Incerto differentiates itself by moving further down the stack into data operations. If they can successfully execute on the promise of autonomous schema management and real-time operational edits, they will move from being a helpful analyst to becoming a foundational piece of automated data engineering.
AI agents that convert natural language into database queries and operations.
Incerto is hiring.