A governed data workspace for reviewable AI workflows.
PulseQL helps teams move from questions to reviewable data work without turning AI into an opaque black box. The product story stays focused on what teams can do: ask, review, refine, and share.
Workflow
Reviewable
human-in-the-loop by design
Product
Desktop app
focused workspace
Scope
Focused
workflow, review, value
active workflow
Churn by acquisition channel
Ask a data question
plain-English starting point
Review the proposed work
human judgement stays visible
Refine the output
iterate before sharing
Promote what is useful
turn work into a reusable artifact
status
v1.0
platforms
03
scope
focused
Product demo
One question, end to end.
A question becomes a reviewed data artifact. The demo stays at the workflow level: ask, review, refine, share.
ask
“What changed in this metric, and what should the team review before sharing it?”
review path
- 1
understand the request
keep the user intent visible
- 2
prepare a reviewable draft
no invisible automation
- 3
surface assumptions
make uncertainty easy to spot
- 4
promote only after review
team judgement stays in the loop
reviewed output
PulseQL keeps the proposed work, assumptions, and review state visible before a result becomes something the team depends on.
Review status: ready(human approval recommended)
Ready for team review.
Core promise
AI-assisted data work should be reviewable before teams rely on it.
PulseQL is designed around controlled workflows, clear review states, and practical governance for teams that need serious data work to stay inspectable.
Capabilities
What you can do with PulseQL.
Bring the work together
Move from question to reviewed output in one focused workspace instead of bouncing across disconnected tools.
Ask in natural language
Start from a plain-English question and keep the generated work visible enough for a human to inspect.
Review before relying
PulseQL is designed around reviewable steps, not invisible automation.
Keep trust visible
Outputs are shaped so teams can understand why they should trust them before sharing them more broadly.
Respect governance
The product is built for teams that care about privacy, access boundaries, and approval workflows.
Publish to your team
Turn useful work into reusable team artifacts after the right people have reviewed it.
Use cases
Where it earns its keep.
Analytics engineering
Give analysts and engineers a shared place to review AI-assisted data work before it becomes a team artifact.
Pipeline generation
Move from intent to a reviewable draft that the team can inspect before using.
Governed self-serve BI
Help business users ask better questions while keeping serious data work reviewable by the team.
Workflow prototyping
Explore an analytical workflow quickly, then decide what deserves to become reusable.
Download
Download PulseQL v1.0.
Install the desktop application for your platform, or read the case study for the product direction and user-facing workflow.