AI-Powered Database Chat · Growth & intelligence

Talk directly to your database with AI-generated insights.

Seamlessly connect your existing databases—including MySQL, SQL Server, and PostgreSQL (with MongoDB coming soon). Our RAG models process your schema so you can ask plain-language questions, automatically generate precise SQL queries, and instantly visualize your data.

Turn chat conversations into actionable dashboards and scheduled reports.

The sections that follow translate this into production outcomes, core capabilities, rollout milestones, and answers procurement teams ask first.

If the fit is directional but not exact, a 30-minute working session usually resolves it—our engineers will tell you plainly whether the product matches your bottleneck, or whether a different Autowhat system (or composition) is the right answer.

What this means in production

Instant query generation

Simply insert your questions into the chat. Our AI understands your database context and generates the correct queries instantly.

Dynamic dashboard creation

Automatically transform query results into interactive, visual dashboards without writing a single line of charting code.

Automated recurring reports

Schedule your queries to rerun automatically. Receive updated query results and dashboards delivered straight to your team.

RAG-driven schema intelligence

Advanced Retrieval-Augmented Generation models store and understand your database structure to ensure highly accurate answers.

Multi-database support

Native integration with relational databases like MySQL, PostgreSQL, and SQL Server, with NoSQL support mapped for the future scope.

Scheduled analytics delivery

Set up automated schedules for critical queries, keeping everyone updated with fresh data without manual reruns.

How rollout is structured

  1. 01 · Connect

    Securely connect your MySQL, SQL Server, or PostgreSQL databases and let our RAG models process your schema.

  2. 02 · Converse

    Users ask plain language questions in the chat, instantly receiving generated SQL and corresponding dashboards.

  3. 03 · Schedule

    Set up schedules for your most critical queries to automatically deliver updated insights without manual reruns.

11+Enterprise deployments
10Production products
99.9%Platform SLA target

What operators validate in week one

  • Named integration owners on both sides with weekly checkpoint
  • Written acceptance criteria tied to real workflows—not demo scripts
  • Security review pack: architecture, subprocessors, DPA, and logging
  • Hypercare window with on-call engineering and rollback posture
  • Success metrics agreed upfront (time, cost, risk, adoption)

Common questions

How does the AI understand our database?

AskDB uses advanced RAG models to securely index and understand your schema, ensuring high accuracy when generating queries from chat.

Which databases are currently supported?

We currently support relational databases like MySQL, SQL Server, and PostgreSQL. We are also expanding to NoSQL databases like MongoDB in the future.

Can I automatically receive updated reports?

Yes. You can schedule queries to run automatically, and AskDB will rerun them and provide updated dashboard results on your timeline.

Move from evaluation to deployment

Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.