MindsDB

MindsDB

AI-integrated predictive analytics inside databases

Overview

MindsDB offers a platform that runs AI and machine learning inside existing databases so organizations can generate predictions without exporting data. The product can be used as a cloud service or installed on-premises and connects to current databases to build and run ML models directly in queries. Unlike tools that move data to external AI platforms, MindsDB keeps analytics inside the database, streamlining workflows for data-driven sectors like real estate, finance, healthcare, and retail with flexible pricing. The goal is to make AI-powered predictive analytics easy to integrate into existing data systems, helping teams make faster, more accurate decisions.

Significant Headcount Growth
YC Company

About MindsDB

Simplify's Rating
Why MindsDB is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$58M

Headquarters

Berkeley, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Anton ranked #5 on Product Hunt April 8, 2026, signaling strong market demand.[10]
  • Snapshot partnership unlocks NetSuite ecosystem across fastener, automotive, HVAC distribution verticals.[4]
  • v26.0.0 foundation positions MindsDB as universal MCP server for enterprise AI systems.[2]

What critics are saying

  • LangChain's superior multi-agent orchestration erodes MindsDB's open-source developer adoption rapidly.[Negative trends]
  • Snowflake Cortex AI embeds LLMs natively, eliminating need for external MindsDB tools.[Negative trends]
  • Oracle integrates native AI agents into NetSuite, rendering Snapshot partnership obsolete.[Negative trends]

What makes MindsDB unique

  • Anton autonomous BI agent converts natural language to dashboards with self-learning capabilities.[3][4]
  • Model Context Protocol architecture enables standardized AI agent access to federated enterprise data.[2]
  • NetSuite partnership with Snapshot targets distribution industries with predictive demand forecasting.[4]

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Funding

Total Funding

$58M

Above

Industry Average

Funded Over

8 Rounds

Notable Investors:
Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Above Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood
$5M
MindsDB

Benefits

Flexible schedule

Unlimited PTO

Fully remote culture

Remote work setup budget

Wellbeing budget

Company offsites

Generous compensation

Personal development budget

Mental health support

Medical, dental, & vision insurance

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

4%

2 year growth

9%
PR Newswire
Apr 2nd, 2026
MindsDB launches Anton, open-source autonomous BI agent for conversational analytics

MindsDB has launched Anton, an open-source autonomous business intelligence agent that converts plain-language queries into comprehensive outputs including tables, charts and dashboards. The platform aims to accelerate decision-making whilst maintaining analyst oversight and corporate governance. Anton uses multi-layered memory and self-learning capabilities to retain context and improve over time, with analysts serving as stewards who validate outputs and manage business rules. The system includes built-in traceability, credential vaulting and isolated execution environments for enterprise security. The platform is available as an open-source local runtime and as part of Minds Enterprise, a managed platform with expanded governance features. Founded in 2018, MindsDB has raised over $50 million from investors including Benchmark, Mayfield, Y Combinator and NVIDIA.

HPCwire
Mar 20th, 2026
MindsDB and Snapshot partner to deliver ai-powered solutions for the NetSuite ecosystem.

MindsDB and Snapshot partner to deliver ai-powered solutions for the NetSuite ecosystem. March 20, 2026 Press play to listen to this content DETROIT and SAN FRANCISCO, March 20, 2026 - Snapshot, a leading NetSuite technology consulting firm based in Detroit, Michigan and active NetSuite ecosystem partner, and MindsDB, the San Francisco-based AI platform for enterprise data and analytics, have announced a strategic partnership aimed at bringing powerful, practical AI-driven conversational analytics solutions to organizations operating within the NetSuite ecosystem. The partnership combines MindsDB's Enterprise AI platform with Snapshot's deep operational expertise in NetSuite environments, enabling companies to apply AI directly to their business data and unlock new levels of business intelligence across their operations with a window into both NetSuite data, and multiple connected systems. At the core of the collaboration is MindsDB's Minds Enterprise platform acting as the AI backbone, enabling models, agents, automation, and AI-driven conversational analytics to connect seamlessly with enterprise data sources. Snapshot will build on top of this foundation by layering its extensive NetSuite domain knowledge, ERP data modeling expertise, and applied AI capabilities, translating complex NetSuite data structures into AI-ready intelligence. Together, the companies are building solutions designed specifically for organizations running NetSuite while also enabling intelligence across multiple connected systems and enterprise data sources. The platform will allow companies to combine NetSuite ERP data with other operational datasets including commerce platforms, supply chain systems, CRM platforms, warehouse systems, and external market data to power AI-driven operational decision making. "Our partnership with MindsDB allows us to deliver AI capabilities, autonomous AI agents, and accurate statistical analytics that are deeply connected to how NetSuite customers actually operate," said Tania Sottrel, SVP at Snapshot. "Snapshot has spent years working inside NetSuite environments and understanding the structure of ERP data, business processes, and reporting requirements. By combining that expertise with MindsDB's powerful AI backbone, we can deliver solutions that transform NetSuite data along with other operational data into meaningful intelligence for businesses." As partners within the NetSuite ecosystem, Snapshot is focused on building solutions that integrate naturally with NetSuite implementations and extend the platform's analytical capabilities. The collaboration aims to move organizations beyond traditional ERP reporting by introducing AI-assisted analytics, predictive modeling, and intelligent automation directly connected to NetSuite workflows and operational data. "MindsDB was built to bring AI directly to where enterprise data lives," said Brad Gyger, Chief Revenue Officer at MindsDB. "By partnering with Snapshot, we're combining our conversational AI analytics platform with a team that deeply understands NetSuite environments and the operational challenges companies face. Together we're enabling NetSuite customers to unlock AI insights across their ERP data and the broader systems that power their business." The partnership will initially focus on industries where NetSuite is widely used for operational and supply chain management, particularly within complex distribution environments. * Fastener and industrial component distribution * Automotive parts and aftermarket supply chains * Food manufacturing and distribution * Agriculture and landscaping supply * HVAC distribution * Plumbing supply * Electrical distribution Companies in these industries manage large product catalogs, complex supply chains, and rapidly changing demand conditions. By combining NetSuite ERP data with other operational datasets, Snapshot and MindsDB will enable AI-driven capabilities such as: * Predictive demand forecasting * Inventory and supply chain optimization * Pricing and margin analysis * Operational anomaly detection * AI-assisted reporting and decision support * Cross-system operational intelligence * AI-powered insights embedded within NetSuite-driven workflows Snapshot will lead the development of NetSuite-informed AI solutions, including purpose-built models, configurable AI agents, ERP knowledge layers, and connectors that translate NetSuite data structures into AI-ready frameworks. "Our goal is to empower the broader NetSuite community with AI that understands how their businesses actually operate," added Sottrel. "By combining Snapshot's ERP expertise with MindsDB's AI platform, we're creating a powerful intelligence layer that connects NetSuite data with the rest of the enterprise." The NetSuite connector for MindsDB is available now and additional solutions and pilot programs will roll out to NetSuite customers and partners throughout 2026. About Snapshot Snapshot, based in Detroit, Michigan, is a leading NetSuite technology consulting firm specializing in NetSuite implementations and support, ERP intelligence, NetSuite e-commerce, data integration, and advanced analytics. About MindsDB MindsDB enables humans, AI, agents, and applications to get highly accurate answers across disparate data sources and types. Unlocking AI Search and Analytics for enterprises, MindsDB unifies petabyte-scale structured and unstructured data across diverse data sources and applications. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. For more information, please visit: mindsdb.com.

PR Newswire
Mar 19th, 2026
Snapshot and MindsDB partner to bring AI-powered analytics to NetSuite ecosystem

Snapshot, a Detroit-based NetSuite consulting firm, has partnered with San Francisco's MindsDB to deliver AI-powered analytics solutions for NetSuite users. The collaboration combines MindsDB's Enterprise AI platform with Snapshot's NetSuite expertise to enable conversational analytics across ERP and connected business systems. The partnership will initially target distribution-focused industries including automotive parts, food manufacturing, HVAC and electrical distribution. Solutions will include predictive demand forecasting, inventory optimisation, pricing analysis and AI-assisted reporting that integrate NetSuite data with other operational systems. Snapshot will develop NetSuite-specific AI models and agents using MindsDB's platform as the technical foundation. The NetSuite connector for MindsDB is now available, with additional solutions rolling out to customers throughout 2026. MindsDB has raised $295 million to date across multiple funding rounds.

PR Newswire
May 30th, 2025
Chat With Your Data: Mindsdb Launches Open-Source Ai Interface For Databases And Documents

MindsDB's new AI interface enables natural language conversations with enterprise datasets—unifying structured databases and unstructured knowledge with intelligent agentic orchestrationSAN FRANCISCO, May 30, 2025 /PRNewswire/ -- MindsDB, the open-source enterprise AI platform, today announced the release of their AI chat interface in MindsDB Open Source. This platform enables users to interact with their connected databases and knowledge bases using natural language—merging semantic understanding and SQL querying in a single unified experience.Drawing inspiration from MindsDB's enterprise product line, the chat interface brings the advanced conversational capabilities of intelligent agents directly into the open source offering, allowing developers, data scientists, and business users alike to "talk to their data" with no-code simplicity.Solving the "Two Data Languages" ProblemFor decades, enterprises have faced a dual-language challenge in data access:SQL is powerful for querying structured databases but requires technical fluency and schema knowledge.Semantic search tools handle unstructured content but often operate in isolation.MindsDB eliminates this divide by using a conversational interface powered by its AI Agent technology—automatically interpreting user queries and orchestrating the right mix of SQL and semantic operations behind the scenes.For example, a user can ask:"What are the common themes in support tickets about feature X, and how does that correlate with user engagement metrics?"MindsDB intelligently splits this into:A semantic query to extract themes from support tickets.A parametric SQL query to retrieve structured usage data.A unified response, delivered conversationally in the UI.Breakthrough Architecture: Built for AI Agents & Human CollaborationMindsDB is underpinned by an innovative architecture tailored for AI-native systems:Model Context Protocol (MCP) : Powers standardized access to data via tools exposed by the MindsDB's Federated Query Engine, enabling seamless integration with AI agents and platforms.: Powers standardized access to data via tools exposed by the MindsDB's Federated Query Engine, enabling seamless integration with AI agents and platforms. Agent-to-Agent (A2A) Communication: Allows the Chat Agent to coordinate with specialized SQL and semantic Agents—laying the groundwork for scalable multi-agent AI systems.Allows the Chat Agent to coordinate with specialized SQL and semantic Agents—laying the groundwork for scalable multi-agent AI systems. Knowledge Bases: Combine vector search, embedding models, and optional reranking into a coherent semantic layer, accessible via chat and programmatic APIs.Combine vector search, embedding models, and optional reranking into a coherent semantic layer, accessible via chat and programmatic APIs. Text2SQL Translation: Automatically generates accurate SQL queries from natural language inputs for relational, AI, and federated databases.A diagram in the launch blog visualizes this multi-layered architecture—from chat input through intelligent routing and query generation to synthesized output.Key Benefits and Use CasesRespond unlocks transformative capabilities for enterprise users:Democratized Access: Enables anyone in the organization to explore enterprise data and knowledge using natural language—no data analytics expertise required.Enables anyone in the organization to explore enterprise data and knowledge using natural language—no data analytics expertise required. Unified Insights: Combines structured and unstructured sources into a single, coherent answer.Combines structured and unstructured sources into a single, coherent answer

Business Wire
Apr 4th, 2024
Berkeley Skydeck To Spotlight Ai Innovation During Upcoming Demo Day

BERKELEY, Calif.--(BUSINESS WIRE)--Berkeley SkyDeck, the global hub for entrepreneurship and a leading accelerator, today confirmed its Demo Day for Batch 17 will take place April 10, 2024. Despite economic headwinds and fluctuations in the market, Berkeley SkyDeck startups have consistently raised capital, including more than $200 million over the last 12 months, a reflection of the companies’ sound business models and strong leadership teams. For Batch 17, over half of the 20 companies that will present are rooted in AI, with applications across multiple industries, including education, healthcare, enterprise software, data, and life sciences. The full list of participating startups is available here. “Projections have the AI industry approaching $2 trillion in value by 2030, signaling the ongoing strength of this market and the still-untapped potential to completely reinvent our world. At the same time, investors are looking for companies capable of real success,” said Chon Tang, Founding Partner at Berkeley SkyDeck Fund

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