Speed up Financial Analysis with AI
Challenge
Siloed data and legacy BI systems slow down even simple questions. Regulation burdens add complex modeling, documentation, and data-lineage demands.
Finance teams have to contend with manual data extraction, cleaning, and report generation across disparate systems, leading to delayed decision-making.
Systems sprawl adds complexity to data gathering
Manual data analysis is slow and tedious, prone to errors
Reporting burdens keep growing
Automate data exploration, querying and report building
Eliminate the manual and tedious effort by having AI automatically discover and query your data and generate reports and insights that span multiple data sources across finance systems, CRMs, spreadsheets and more.
Go beyond manual analysis by using AI as an analytics copilot. Investigate interesting findings using natural language to dig deeper across data and documents. Discover insights about the business, faster and easier.
Verifiable, accurate, cited insights built via your data
Ensure all answers are backed by verifiable proof. Trace all the queries and reasoning to source files and systems, and review SQL and logical reasoning of how the answers were created.
Transform Business Intelligence with AI. Without the manual querying, extraction, and spreadsheets.
Use natural language to query vast amounts of structured and unstructured data, regardless of where it resides. Teams can ask questions in real time or on a schedule and get the answers they need to enable decisions faster than ever.
Unify structured and unstructured data
Over 100 data connectors for structured and unstructured data sources eliminates the need for manual switching between data sources or costly ETL.
Gain novel data insights with Natural Language
Enable any finance team member to generate real-time, highly accurate answers about the business and its operations using conversational prompts.
Streamline Al and data governance
Role-based access control and transparent output reasoning and auditing makes it easy to integrate with data and use Al responsibly.
20 hours / week
66% of financial sector analysts spend up to half their time making data fit for required use cases
5 seconds
Time it takes for an analyst to ask MindsDB a question and verify results
The MindsDB Difference
All of your data. Regardless of where it resides.
Structured and unstructured data, from databases to file systems
Natural language search via APIs, SDK, MCP
On-prem, VPC, and serverless
More private and secure, as data residency doesn’t need to change
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