Bodham™
bodham - understanding, the moment a thing becomes known · formerly Talk2Data
Ask the question in plain language; get validated SQL, charts, and an answer.
At a glance
- Category
- Conversational Analytics
- Theme
- Conversational Analytics
- Industries
- Technology, Retail & CPG, Financial Services, Logistics
- Capabilities
- 4 composed
- Pairs with
- Setu
Who it is for
- Sales and revenue operations teams waiting on ad hoc analysis
- Finance teams working across many spreadsheets
- Operations leads who need answers on the floor, not at a desk
Systems it sits on
PostgreSQL · MySQL · Supabase · Snowflake
Pairs with
Setu
Explainer
Bodham in two minutes
A narrated walkthrough of the problem, how Bodham works, and what changes. Captions are available in the player.
Bodham turns natural-language questions into data answers. Connect a database or upload a spreadsheet, then ask what you want to know. An agentic pipeline converts the question into validated SQL, runs it, and returns interactive charts, clean tables, and a written insight summary. Saved chats, pinned charts, and voice input make exploring data conversational, putting real analytics in the hands of business users rather than only the analysts who can write the query.
The problem
Business questions queue behind the analysts who can write SQL, so decisions wait days for numbers that took minutes to produce.
The outcome
Analytics in the hands of any business user, with the query validated and the reasoning shown rather than hidden.
How it works
How Bodham works
- 01
Connect the source
A governed database or an uploaded spreadsheet becomes the grounded scope for questions.
- 02
Convert and validate
The question is turned into SQL and validated before it runs, not after it returns something odd.
- 03
Return the answer
Results come back as interactive charts and tables, with the query visible for anyone who wants to check it.
- 04
Explain and keep
A written summary accompanies the numbers, and useful answers are pinned and saved.
Module 01
Agentic Query Pipeline
A question converted into validated SQL, executed, and returned with the query shown.
- 02
Interactive Results
Charts and clean tables generated from the result, pinnable into a working set.
- 03
Insight Summaries
A written reading of what the numbers say, alongside the numbers themselves.
- 04
Voice & Saved Chats
Voice input and saved conversation history so analysis is resumable, not repeated.
- from question to charted answer
- Secondsfrom question to charted answer
- required of the person asking
- No SQLrequired of the person asking
Integrations
Ideal for
- Sales and revenue operations teams waiting on ad hoc analysis
- Finance teams working across many spreadsheets
- Operations leads who need answers on the floor, not at a desk
- Executives replacing static decks with live questions
Capabilities
Bodham composes these capabilities from the shared Agent Platform layer. The same atoms power the rest of the portfolio, so adopting a second accelerator reuses the integration work rather than repeating it.
Composition
Bodham is assembled from shared platform atoms. Hover a partner to see what you reuse on the next deployment.
Pairs with
- Natural-Language Query
- Business questions converted into validated queries, run against governed data, and returned as answers.
- System Connectors
- MCP-connected reads and writes against the ERP, MES, PLM, CRM, and warehouse systems already in place.
- Workflow Orchestration
- Specialist agents coordinated across a multi-step process, each handing structured context to the next.
- Evidence & Audit Trail
- Every input, decision, and action captured as tamper-evident evidence a regulator or auditor can follow.
Reason
Ingest
Act
Govern
FAQ
Can it hallucinate an answer?
The pipeline validates generated SQL before execution and shows the query alongside the result, so an answer can always be checked against the query that produced it.
Does it need a warehouse?
No. It works against a database connection or an uploaded file, which is often how a pilot starts.
How does it relate to Setu?
Setu modernizes the analytics estate; Bodham is the conversational layer people use once the data lands somewhere modern.