Meet Flare
The AI assistant that knows your data, respects your rules, and shows its work.
Ask questions in plain language. Get answers backed by real SQL. Build faster with AI that understands your schema.
See Flare in actionTwo modes. One assistant.
Ask
Query your data in plain language
Flare writes the SQL, runs it against your governed data, and explains the result. Every answer shows the query behind it.
Build
Generate pipeline code with AI
Flare understands your schema and generates production-ready code. You review, edit, and ship — Flare handles the boilerplate.
Flare IDE
A web IDE for your data platform.
The editor experience engineers expect — focused entirely on building platform scripts. Flare sits beside your code, drafting changes you review line by line.
Prompt to production script
Describe the change; Flare drafts the SQL or Python against your real schema. You review the diff and apply — nothing ships without your approval.
Built for platform work
Models, workflows, and quality checks live side by side. Lineage updates as you type, so you see what every change touches.
Your code stays yours
The IDE runs inside your governed workspace. Code and data stay private — Flare works with them, never on someone else's copy.
Dashboards
From question to shared dashboard.
Ask Flare, get a chart, drop it onto a dashboard next to the rest — then drag, resize, and customize until it tells the story. Share it with a link.
Dashboards › logistics
Add cardDrag cards to reposition, grab a corner to resize. The layout is saved for everyone when you hit Done.
Top 10 customers by shipment volume & revenue
From answer to card
Any Flare answer becomes a dashboard card in one step — chart, query, and refresh schedule included.
Arrange it your way
Drag cards to reposition, grab a corner to resize, switch chart types and palettes. No BI tool required.
Shared and always current
Hit Done and the layout is saved for everyone. Cards re-run from SQL, so the numbers never go stale.
One assistant, every role.
"What was our churn last month?"
Flare queries retention tables, returns 4.2% with a trend chart.
"Generate a dedup transformation for the events table"
Flare writes a SQL transformation with row_number() partitioning, ready to test.
"Which product line is growing fastest?"
Flare joins revenue and product tables, shows YoY growth by line.
"Why did signups drop last Tuesday?"
Flare traces lineage, identifies a broken upstream pipeline, surfaces the root cause.
Ready to build a data foundation your whole team can trust?
See how Datablast and Flare work together — in a walkthrough built around your stack.