Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to deploy AI solutions because their data lacks a unified, trusted definition, causing inaccurate chat responses, broken workflows, and unreliable agents. Manual effort to document, model, and maintain semantic data layers often takes months, delaying AI initiatives.
Solution
Solid provides a platform that automatically maps and translates an organization’s data assets into tested, business‑ready definitions. By organizing data around the company’s logical model, Solid creates a context graph that enables accurate AI-driven chat, workflow automation, and autonomous agents without extensive manual engineering. The platform includes a text‑to‑SQL engine that generates transparent, context‑aware queries across multiple tables, ensuring that AI outputs are grounded in trusted data. Integration points with leading LLMs and data warehouses allow enterprises to replace months of data preparation with a few weeks of deployment, accelerating time‑to‑value while reducing manual maintenance.
Target Audience
Primary customers are data, AI, product, and operations teams in large enterprises that need reliable data foundations for AI chatbots, workflow automation, and autonomous agents.
Features
- Automated discovery and mapping of thousands of data assets into a unified semantic model
- Business‑logic‑driven definitions that are validated and versioned for reliability
- Text‑to‑SQL engine that constructs multi‑table queries with correct joins, filters, and calculations based on the semantic model
- Transparent query generation with no black‑box processing, enabling auditability
- Native connectors to LLM providers (e.g., ChatGPT) and data platforms such as Snowflake and Databricks
- Continuous synchronization with existing data and AI stacks to keep definitions up‑to‑date