Solid Build
Add Business-Aware Semantic Models for Your Data in Days - Not Months
Solid analyzes how your data is used and automatically generates semantic models with consistent metrics, joins, and logic - ready to feed any AI or BI layer.
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The Reality for Data Teams Today
The Problem
Data teams are under pressure to move fast, support AI initiatives, and make data accessible to everyone. AI can’t deliver value without well-structured, business-aware semantic models.
Creating and maintaining business-ready semantic models manually is slow, error-prone, and hard to scale. Managing multiple semantic layers across different AI and BI tools only adds chaos, leaving teams stuck maintaining definitions instead of driving insights - and most models end up incomplete or inconsistent.
Creating and maintaining business-ready semantic models manually is slow, error-prone, and hard to scale. Managing multiple semantic layers across different AI and BI tools only adds chaos, leaving teams stuck maintaining definitions instead of driving insights - and most models end up incomplete or inconsistent.
Slow AI adoption - The full modeling lifecycle - from defining to validating - takes months, delaying AI deployment.
Limited coverage - Manual setup and maintenance mean most teams can only model a fraction of their data.
High maintenance burden - Keeping models current takes constant attention, often consuming an entire full-time role.
How Solid Fixes It
Automatically builds and maintains AI-ready semantic models - turning SQLs, BI semantics, and metadata into trusted, validated semantic models instantly.
Keeps models consistent and up to date - so AI and BI tools always understand your data, even as the data changes in structure, and teams can deploy trusted solutions fast.
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The Solid Impact
10x
Faster AI Deployment
Reduce “time-to-AI” from months to just a few weeks.
90%
Less Manual Work
Automate documentation, semantic modeling, and maintenance.
100×
More Coverage
Map and maintain thousands of data assets automatically vs. a dozen done manually.
Use Cases & Outcomes
Every data team faces its own challenges with AI adoption-from enabling “chat with your data” to bringing order to a chaotic data environment. Solid automates what others make you build manually, delivering trusted, documented, and AI-ready semantic models out of the box.
Integrate Any AI Solution - Fast
Get your data AI-ready
Your team wants to integrate an internal or external AI solution - but AI can’t work on messy, undocumented data.Solid automatically builds semantic models from your data warehouse, giving your AI the structure and clarity it needs to deliver accurate, trusted results - in days, not months.
Outcome:
AI-ready semantic models, built automatically.
Trusted results, faster AI solutions delivery.
Enable “Chat With Your Data” - In days
Bring ‘Chat With Your Data’ to Life - Using Your Existing AI Tools
Your team wants to let business stakeholders ask questions and get answers from data - but AI tools like LLMs, Snowflake Cortex, or Databricks Genie need structure to work properly. Solid automatically builds and maintains the definitions, metrics, and relationships that feed your semantic layer - giving AI tools the structure they need to deliver accurate answers.” This gives your team an end-2-end, ready-to-use, trusted solution for “chat with your data” - without adding another tool to your stack.
Outcome:
End-to-end “chat with data” capability using your existing AI tools.
Trusted answers your business can rely on.
Keep Your Semantic Layer Up to Date
Keep Your Semantic Layer Accurate - With Minimal Effort
Your team already has a semantic layer, but keeping it current takes too much time and effort.
As data changes - new tables, renamed fields, or evolving metrics - updates become a constant maintenance challenge.
Solid automatically detects changes, suggests updates, and helps your team keep models accurate and aligned with minimal effort.
As data changes - new tables, renamed fields, or evolving metrics - updates become a constant maintenance challenge.
Solid automatically detects changes, suggests updates, and helps your team keep models accurate and aligned with minimal effort.
Outcome:
Semantic models stay current without heavy manual work.
Data teams review and approve suggested updates in minutes.
Main Product Capabilities
Automated, Out Of The Box Semantic Models
Solid’s AI automatically builds and updates semantic models that power tools like Snowflake Cortex, Databricks Genie, ChatGPT, and Gemini. Combines usage history, tickets, and conversations into clear, human-readable docs for your data assets.
Outcome:
Eliminate months of manual modeling and maintenance. Get consistent, trusted answers instantly wherever your teams ask questions.
Outcome:
Eliminate months of manual modeling and maintenance. Get consistent, trusted answers instantly wherever your teams ask questions.
Create Your Own Semantic Models
Solid makes manual modeling effortless. Data modelers can create new semantic models by simply providing a list of tables or adding business context - Solid does the rest. You stay in control - review, adjust, and validate before publishing to ensure every model aligns perfectly with your business logic.
Outcome:
- Build and launch new, business-aware semantic models in minutes not days.
- Stay in full control with transparent, editable, and validated model suggestions.
Outcome:
- Build and launch new, business-aware semantic models in minutes not days.
- Stay in full control with transparent, editable, and validated model suggestions.
Full Transparency & Control
With a human-in-the-loop approach, Solid enables data modelers to review, validate, and edit automatically generated models before opening them to business stakeholders.
Outcome:
Full transparency and control - never a black box. Your data models stay accurate, explainable, and trusted.
Outcome:
Full transparency and control - never a black box. Your data models stay accurate, explainable, and trusted.
Export Models to Any AI Tool
Easily export semantic models to any AI or analytics tool using Solid’s flexible export formats (LLM prompts, tool-specific YAML, Semantic Views, dbt SL, and more). Solid seamlessly integrates with your existing stack - no workflow changes required.
Outcome:
Use Solid’s models wherever your team works - power any AI tool with consistent, trusted data.
Outcome:
Use Solid’s models wherever your team works - power any AI tool with consistent, trusted data.
Automatic Maintenance
Solid continuously monitors data and usage patterns to keep your semantic models accurate, relevant, and up to date - even as tables, fields, or metrics evolve. No more broken joins, outdated metrics, or manual refreshes.
Outcome:
Always-on accuracy. Your semantic models stay aligned with the latest data, with minimum manual upkeep.
Outcome:
Always-on accuracy. Your semantic models stay aligned with the latest data, with minimum manual upkeep.
How ‘Solid Build’ Works
01 Connect
Plug Solid into your existing stack:
Cloud data warehouses (Snowflake, BigQuery, Databricks)
BI tools (Tableau, Looker, Power BI)
Transformation code (git repos of dbt and other code)
Ticketing systems (Jira, ServiceNow, Monday.com)
Messaging (Slack, Teams)
Business docs (PDFs, decks, internal wikis)
Solid only pulls metadata and context - not raw data.
02 Automate
Solid’s AI processes your metadata, queries, and work history to:
Build a business glossary from how your teams actually talk.
Cluster high-quality assets by usage and relationships.
Auto-document every table, view, query, metric, dashboard, and report.
Score asset quality and reliability.
Generate out-of-the-box, business-aware semantic models using your most reliable assets - ready for validation and deployment to any AI tool.
Automatically test and validate models to ensure consistent logic, accurate relationships, and high confidence.
03 Unlock
Make your data instantly accessible across every AI interface:
Solid Web UI
Snowflake Cortex
Databricks Genie
LLM Interfaces - e.g., ChatGPT, Gemini, Claude
API and MCP protocol integrations
