Challenge
Fragmented data across multiple real-time operational and analytical systems can be a bottleneck.
The AI technology stack needed to bring in unstructured data from file systems, or connecting natively to structured databases and providing high-quality AI answers is new, complex and time-consuming.
Data silos, diversity, and complexity across tools and stacks
Moving petabytes of data between data stores, dealing with data governance issues
Skills gaps in workforce for AI/ML can slow innovation progress
MindsDB Solutions for Software Companies
Petabyte-scale semantic search capabilities
Enable features that use natural language to search unstructured data (employee knowledge bases, how-to documents, support tickets) and structured data (CRMs, databases) to resolve customer issues faster.
Unlock deeper insights for your customers
Enable your customers to search for and analyze their data within your application platform. Using MindsDB, your AI agents can deliver better answers and powerful automation capabilities that span multiple systems.
Unlock business intelligence across millions of documents
Connect file systems, cloud drives, and more to MindsDB for private and secure AI analysis of content within documents, with data never shared with 3rd parties. Enable users to search and get deep AI analysis of millions of PDF, Word, HTML, text, and more document types.
Embed AI capabilities in weeks with MindsDB: turnkey, enterprise-ready, API-first, Zero ETL needed.
MindsDB unifies petabyte-scale structured and unstructured data from a wide range of sources. Its pioneering cognitive engine runs seamlessly on-prem, in VPCs, or serverless - plus you get clean SQL abstractions, native query execution, higher accuracy and relatively easy integration into your application UI.
Break down data silos
Over 200 connectors for diverse data sources and eliminate the need for costly ETL tools.
Enable org-wide AI insights
Enable non-technical users to generate real-time, highly accurate analytics with conversational prompts.
Automate information discovery
Easily integrate AI-powered conversational search into employee- and customer-facing apps via APIs, SDK, or MCP.
Months to years
Average time software companies take to build and implement robust AI features into their products
2 to 4 weeks
Average time to implement MindsDB and get started with delivering AI capabilities to your application users
Enable semantic understanding
Query unstructured and structured data conversationally with natural language processing
Connect leading LLMs to data
Ingest data with over 200 connectors
Easily generate analytics in real-time
Showcase transparent reasoning
Customize with proprietary business rules
Responsible and secure AI usage
The AI Business Insights Solution
Frequently Asked Questions
How long does it typically take to embed MindsDB AI capabilities into existing software products?
What AI capabilities can ISVs embed using MindsDB's platform?
How does MindsDB eliminate data engineering overhead for software companies?
Can MindsDB enable non-technical users within customer applications to perform AI analytics?
How does MindsDB handle multi-tenancy and data isolation for ISV deployments?
