On-premise
Databases
SQL Server, Postgres, MySQL
Mesh360 BIChat with your databases.Get answers with AI.
Mesh360 BI turns questions about your warehouse into SQL, answers, and charts. Use Workspace for your own analysis, or plan a Website Chatbot for the people inside your product.
▶ Product walkthrough
Mesh360 BI
Ask once. Inspect SQL. Save the view your team keeps using.
Launch the walkthrough in WorkspaceEnterprise architecture
Built for enterprise data leaders.With a clear path for every team.
On-premise
Databases
SQL Server, Postgres, MySQL
Cloud
Warehouses
Snowflake, BigQuery
Metadata
Modeling
dbt, data catalogs
Governed Context Layer
AI Agents
Governed automation
Executive Reports
Board-ready numbers
Dashboards
Always-on metrics
Access Control
Semantic Model
Data Policies
Knowledge Center
Find your fit
Choose how you want to chat with your database
Start with who needs answers and where they will ask. Workspace and Website Chatbot are different paths; private deployment is an enterprise conversation.
BI
For your team
Explore data in Workspace
Built for analysts, ops, and business users in the browser. Connect a source, ask in plain language, review the SQL and rows, then follow up or open a chart.
Your environment still needs database reachability. A local-looking connection does not mean offline AI — prompts and needed result context can travel through a model gateway when configured.
BI
For your customers
Ship a Website Chatbot
For product teams placing approved warehouse questions inside a portal. Wire the chatbot to curated data, then drop the chat surface into your app.
Design auth and row-level visibility before launch. Confirm each signed-in user only retrieves records their role is allowed to see.
BI
For custom requirements
Plan a private deployment
For organizations with hosting or data-handling constraints. Align on where the app runs, which model endpoint is used, network paths, and who owns operations with Mesh360.
Self-hosting the UI can still call an external model. Running a local model is a separate deployment decision.
Review plan differences or jump straight into Workspace.
How it works
From a business question to a checked answer
- 01
Attach approved data
Use an account limited to the tables or reporting views you need. Prefer read-only rights for analysis. Connect Snowflake, BigQuery, PostgreSQL, MySQL, and the other engines Mesh360 BI already lists.
- 02
Name your business language
Spell out revenue, active customers, date windows, and table relationships. Add verified SQL samples and schema notes so everyday phrases resolve to the right fields.
- 03
Verify, then keep exploring
Match early answers to a report you trust. Review filters, joins, and totals before decisions. Once definitions look right, ask follow-ups or open Chart / Table views.
Questions you can adapt to your schema
Example prompts only — not measured results. Your warehouse needs the matching fields, and metric definitions must stay explicit.
- “Show paid order revenue by month this year, skip cancelled rows, keep USD and our reporting timezone.”
- “Which customers still owe as of 1 Sep 2026 after subtracting payments received by that date, with currencies kept separate?”
- “Split that same answer by region, then open a bar chart without changing the filters.”
Try the demo warehouse ask, then pin strong replies on the dashboard.
Confidence to explore
Ask questions. Check the answers.
Query, visualize, and analyze in one thread — with SQL and rows you can still inspect.
Read-only SQL
Guardrails first
Inspectable queries
Answer · SQL · Chart · Table
Mesh360 platform
Beside PDF & Studio
Ask better questions
Business intelligence as a conversation
Pose a question, open the generated SQL, and keep exploring without jumping between separate BI tools.
Answer · SQL · ranked rows
Question lands → Mesh360 BI drafts SQL → you inspect the result set before anyone trusts the number.
See the story in your data
Turn results into clear visuals
Move from a table to a chart in the same thread. Keep the conversation context while you switch views.
Chart from the same ask
Toggle Chart beside Answer, View SQL, and Table — then save the view your team should reuse.
Share the answer
Build dashboards from those replies
Pin interactive tiles with natural-language results so everyone looks at the same definition of the metric.
Saved Mesh360 BI board
Workspace replies become dashboard widgets with Answer / SQL / Chart / Table still available.
Connect your stack
Your data, queried in place
Point Mesh360 BI at the warehouse or database you already trust. Ask in plain language — SQL stays in your environment.
Cloud warehouses
5Snowflake
Cloud warehouse
BigQuery
Google Cloud
Databricks
Lakehouse
Redshift
Amazon warehouse
Athena
S3 SQL queries
Databases
4PostgreSQL
Relational DB
SQL Server
Microsoft SQL
Oracle
Enterprise DB
MySQL
Relational DB
Query engines
3ClickHouse
Analytics DB
Trino
Federated SQL
Starburst
Trino platform
Not ready to connect production data? Start with the Mesh360 demo warehouse — no credentials required.
Open demo →Built for real workflows
Tools for everyday database questions
✓
Learn more ↗Schema context
Describe tables and attach verified SQL examples, then compare answers with reports you already trust.
✓
Learn more ↗Business context
Capture company terms and feedback loops so the model maps phrases the way your team does.
✓
Learn more ↗Access control
Plan fine-grained visibility when you embed chat for customers — only approved rows should surface.
✓
Learn more ↗Embeddable
Use Workspace today, or roadmap an embedded chatbot that stays under your product brand.
✓
Learn more ↗Interactive
More than a SQL generator — talk with the warehouse, then inspect every step of the answer.
✓
Learn more ↗Training examples
Pair natural-language asks with known-good SQL so future questions stay grounded.
✓
Learn more ↗Security
Discuss private hosting, model placement, and data-flow expectations with the Mesh360 team.
✓
Learn more ↗Product support
Reach Mesh360 for setup help, product questions, and deployment scoping.
In good company
Built for teams that need one definition of truth
Finance
Ops
Growth
Product
Founders
RevOps
Support
Data
Get started
Pick a surface below, or compare Workspace and Chatbot.
Chatbot vs Workspace
| Chatbot | Workspace | |
|---|---|---|
| Data storage | Encrypted inside your Mesh360 BI deployment; enterprise can go private | Session credentials stay with your Workspace connection; dashboard saves live on your API |
| Use cases | Customer-facing chatbot experiences | Internal analysis and operator workflows |
| Data privacy | App/server controlled paths to approved databases | Direct reach from your environment to the engine you configure |
| Integration | Embeddable into a webpage or portal | Available as the Mesh360 BI web Workspace |
| Timeout | Configurable request limits for hosted chat | Long-running exploration inside Workspace |
| Live dashboard | Shared boards for teams and customers | Save Answer / SQL / Chart / Table widgets |
Mesh360 BI questions, answered
What is Mesh360 BI?
Mesh360 BI is an AI warehouse assistant. Connect a supported database, ask in natural language, and work with generated SQL, result grids, charts, and saved dashboard tiles. Workspace covers analysis in the browser; Website Chatbot is the embed path for your product.
Do I need ChatGPT or SQL skills?
Workspace has its own chat UI, so a ChatGPT subscription is not required to try the demo. You can ask without writing SQL, but someone still configures access and validates business definitions. Generated answers can be wrong — check important figures against a trusted report.
Which databases can I connect?
Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, SQL Server, Oracle, MySQL, ClickHouse, Athena, Trino, and Starburst — plus a Mesh360 demo warehouse to try without credentials. Requirements differ by engine — test your real setup before relying on it.
Workspace or Website Chatbot?
Pick Workspace for browser analysis. Pick Website Chatbot when end users need chat inside your app. For embeds, finish auth and data isolation testing before rollout.
Where do credentials and answers go?
Workspace uses the credentials you supply for the active session. Questions and needed response data may travel through a model gateway when OPENAI_API_KEY is set. Dashboard widgets are stored by your Mesh360 BI API.
How do I protect production data?
Prefer read-only database permissions and approved views. Hide sensitive columns, prove user-level isolation for embeds, and set query limits at the database. Prompt rules help, but they do not replace permissions.
Can it handle a large unfamiliar schema?
Schema discovery plus business terms and verified Q→SQL pairs provide context. Start with one reporting area and known-answer questions, then expand after checking joins and totals.
Can Mesh360 BI run privately?
Private deployment is an enterprise discussion. Hosting the app and hosting the language model are different scopes — an in-network app may still call an external model API.