Solid Data

Solid Data
AI-powered platform for business users to discover and analyze enterprise data.
About
What does Solid Data do?
Solid provides a foundation for reliable enterprise AI by mapping and translating data into tested, business-ready definitions. Its core products, Solid Build and Solid Analyze, automate the creation and validation of AI-ready semantic models and a text-to-SQL engine, enabling faster AI deployment and more accurate AI-driven insights. Solid serves data teams, analytics leaders, and business stakeholders looking to turn their enterprise data into reliable AI at scale.
What is Solid Data's revenue?
StartupHub estimates Solid Data's annual revenue at $3.2M (range $1.8M to $8.8M, 70% confidence), based on comparable companies in the sector.
What is Solid Data's valuation?
StartupHub estimates Solid Data's effective valuation at $79.1M (range $50.0M to $120.0M, 22% confidence), based on comparable companies in the sector.
How much funding has Solid Data raised?
Solid Data has raised a total of $20M in funding. The most recent round on record is Seed.
Where is Solid Data headquartered?
Solid Data is headquartered in San Francisco, United States.
When was Solid Data founded?
Solid Data was founded in 2022.
What industry does Solid Data operate in?
Solid Data operates in Enterprise, Data, Analytics, Data Platform, Analytics Platform, Business Intelligence.
How many employees does Solid Data have?
Solid Data has approximately 26 people on record.
Solid Data's AI-powered platform for business users to discover and analyze enterprise data competes with GitHub Copilot's ability to accelerate code creation and refactoring, particularly in data modeling and schema generation, where both
Solid Data's focus on creating an AI-native context layer for enterprise AI, which automatically creates and maintains semantic context for AI agents, overlaps with Databricks Unity Catalog's role in providing centralized metadata managemen
Solid Data's platform, which works with modern data platforms including Snowflake, aims to provide a consistent foundation for AI systems and analytics tools, competing with Snowflake's broader Data Cloud offerings that enable processing ne
Solid Data's AI-powered analytics knowledge base, which maps and translates data into business-ready definitions, competes with Google Cloud's Knowledge Catalog (formerly Dataplex), which aggregates context across data estates and automates
Solid Data's AI-powered platform for discovering and analyzing enterprise data competes with OpenText Magellan, which is listed as an alternative to Solid, indicating a direct product overlap in data analytics and insights.
BlackRock, as a major financial institution, would benefit from Solid's ability to enforce consistent security policies, provide full audit trails for compliance reporting, and build secure admin panels and compliance tools, which are criti
Salesforce, a leading CRM provider, could utilize Solid's platform to develop internal tools for customer success and operational dashboards, ensuring consistent security policies and a unified platform for customer data access, aligning wi
SurveyMonkey, a company focused on data collection and analysis, could leverage Solid's AI-powered analytics knowledge base to integrate metadata from their data stacks and business applications, enabling them to resurface high-quality past
The BBC has previously explored Solid technology for integrating viewing data from various platforms to provide personalized content recommendations, indicating a need for Solid's capabilities in managing and utilizing diverse data sources
VITO, a Flemish research organization, has utilized Solid technology to create a platform for citizens to control and securely share personal health data, aligning with Solid's ability to provide high security and personal data pods for sec
dbt Labs, a company focused on data transformation, could benefit from Solid's AI-native context layer that automatically creates and maintains semantic context for AI agents, ensuring consistent business definitions across data warehouses
Buyer fit inferred by StartupHub from what Solid Data sells and public signals about each company. Only rows badged "already a customer" are confirmed relationships.
Snowflake would gain Solid Data's AI-native context layer, which automatically creates and maintains semantic context for AI agents, enhancing its Data Cloud offerings with more robust AI-ready data capabilities and strengthening its positi
Databricks could fold Solid Data's technology into its Unity Catalog to provide a more comprehensive and automated solution for defining and maintaining business meaning within its data and AI platform, addressing the limitations of Unity C
Google would gain Solid Data's expertise in mapping and translating data into business-ready definitions, which could be integrated into its Knowledge Catalog to further automate data governance, semantic curation, and the creation of agent
Microsoft could integrate Solid Data's AI-powered semantic models into its broader AI platform strategy, particularly to enhance the reliability of AI agents within Microsoft 365 Copilot and GitHub Copilot by providing a deeper understandin
IBM could acquire Solid Data to bolster its AI and data platform offerings, such as IBM Watson Data Platform, by incorporating Solid's capabilities in automating the creation and validation of AI-ready semantic models, thereby improving the
Strategic fit inferred by StartupHub from each buyer's own acquisition history. No deal, approach or discussion is implied.
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An entrant is a company tagged Analytics whose domain was first registered in the window, counted from registry records in the StartupHub directory. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
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