public.orders
| Customer | Total | Status |
|---|---|---|
| Northstar | $240 | Paid |
| Fieldwork | $180 | Open |
| Studio Co. | $420 | Paid |
| Forma | $360 | Paid |
Data Explorer
Know what is in the table.
Browse records in Grid, JSON, or Kanban. Follow the fields that matter.
farmako.
A clearer way to solve operational questions.Read the customer story The data workspace for growing teams
Understand your data.Act with confidence.
Explore connected data with Kole, build SQL and Python analyses, and review consequential database changes—all in one shared workspace.
KoleYour data analystWhich products drove revenue this month?
Sales database/public.orders
Connecting the question to your data.
01orders
02order_items
03products
Finding context01 / 04
Illustrative data · inspectable work
A clearer view of the business.
Trusted by teams moving forward.
System layers / scroll to inspect
Understands your data and business.
Data sources become business context for human-approved agents inside the SyneHQ platform.
01 / Data sources
02 / Context
03 / Agents
04 / SyneHQ
One connected system. Four working layers.
From the first question
to the next decision.
orders · declared foreign keys
Schema context
Follow the relationships.
See declared foreign keys and keep every join connected to its source.
PostgreSQL
Customer CSV
One federated query
SELECT region, SUM(revenue)
FROM orders JOIN customers
ON orders.customer_id = customers.id
GROUP BY region;Connected sources. One result.
Tangents
Let your sources meet.
Query across supported databases and files from one workspace.
01
Save the query
weekly_revenue.sql
02
Keep the context
Source, parameters, and notes
Return to the result
Ready for the next review
Saved queries
Good questions deserve a home.
Save useful queries, keep their context, and return to the result.
Dashboards / layout
Build a dashboard in minutes.
Choose charts, tables, and text blocks. Move and resize them on a 12-column grid. The layout is saved with the dashboard.
Sample dashboard
Weekly revenue ops · North America
Owner: RevOps · Updated for week ending Mar 14, 2026 · Source: billing + CRM snapshot
12-column grid4 blocksRead-only sample
Revenue by week
Chart block
52 weeks · 10 plan stacks · $kHover a week for segment totalsSample values only
Decision context
Markdown block
Why the stack grew
Late-year weeks climb sharply: Enterprise and Growth take a larger share while Others shrinks. Newer stacks (Scale, Pilot) show up as thin bands near the top of recent bars.
- Weeks plotted52
- Plan stacks10 segments
- Latest week total~$261k sample
Treat the rise as mix shift plus volume — confirm Enterprise renewals are not pulling forward later quarters before raising the target.
Markdown block · sits beside the chart it explains
Channel mix
Chart block
Pipeline trend
Chart block
36-week trendQualified · Review · West · EastSample values only
Charts, a markdown note, and column spans sit on one saved layout. In product, drag to rearrange; this page only shows the composed result.
Sample only · layout not editable here
Use cases / From question to workflow
Your next question.
A place to start.
Explore 18 example workflows. Each opens a sample dataset in the playground, ready for you to try the question with Kole.
See what drives the number, then follow it back to the source.
Sales performance
Which product categories drive the most revenue?
- 1Group orders by category
- 2Compare revenue and order value
- 3Chart the leading segments
Quick Commerce (Zepto)
Explore workflowPurchase patterns
Which herbal products do customers keep coming back for?
- 1Explore customer purchases
- 2Compare repeat buying patterns
- 3Build a product performance view
Herbal Product Sales E-Commerce
Explore workflowModel mix analysis
How does the sales mix vary across BMW models?
- 1Inspect models and pricing
- 2Compare sales performance
- 3Visualize the sales mix
BMW Car Sales Classification Dataset
Explore workflowReal questions. Sample data. A workspace you can explore.
Browse notebook templatesQuantum Lab / interactive notebook
Inspect the work before you act on it.
Plan the question, check the data, and leave the steps beside the result. That makes a consequential analysis easier to review before anyone relies on it.
Loading Gapminder 2007 country indicators…
Analysis meets governance
Understand your data.
Review every change.
Keep your team in control.
The question and the change belong in the same working context. Move from inspectable analysis to SQL review, with clear decisions and a record of query activity.
Coming next. GitHub SQL reviews, policy templates, and the Pro audit viewer are part of our upcoming governance release.
- 01
Understand
Ask Kole, inspect the SQL, and keep the analysis in a notebook.
- 02
Propose
Give a database change a target, a reason, and SQL to review.
- 03
Check
Surface SQL policy findings alongside a GitHub pull request.
- 04
Decide
Inspect and edit the proposal before approving or rejecting it.
- 05
Inspect
Look up recorded query activity through Syne, with user and connection context.
Customer story / Farmako
Better answers.
More time to move forward.
30%
less time resolving complex operational issues, reported by the Farmako team.
“With SyneHQ, our teams started asking questions in plain English and getting real answers instantly. It felt like adding a real-time analyst to the team.”
farmako.
From a question
to a clearer operation.
Customer feedback · paraphrased
The team reports more efficient database changes, migrations, and data exploration. Business decisions are easier with SyneHQ.
Girish Raju · CTO, Zunofy
Thirdbase
“We've seamlessly integrated multiple data sources, unified analytics, and automated standard reporting, saving us countless hours each week.”
Mukul · Co-Founder & CEO
Mintair
“Within days, it streamlined our workflow. The balance of security and innovation it offers is unlike anything we’ve seen.”
Ojas K · CFO
Stealth startup
The team reports more efficient database changes, migrations, and exploration, and easier business decisions.
Health-monitoring AI · paraphrased feedback
Connected. Considered. In control.
Built around the data
you already have.
Start with your databases and files. Bring the work into a shared space, and keep the tools your team already uses.
PostgreSQL
SnowflakeData connections, storage destinations, and workspace integrations. Availability varies by connector.
# team-analytics
JL
Jamie
@Kole how many orders were paid this week?
Kole
248 paid orders in this example.
public.orders · status = paid
An answer with the source in view.
Kole for Slack
Keep the answer in the conversation.
Mention Kole to explore your connected data where your team already works.
Set up SlackYour MCP client
Show the top products by revenue.
execute_query
Kole MCP Your connection
Kole MCP
Your data tools. In your AI client.
Explore tables and run queries from an MCP-compatible client using your SyneHQ connections.
Get Kole MCPGovernance
Move confidently. Stay in control.
Team-scoped access, configured masking, and human approval for consequential work.
See the controls
Collaboration
Less back and forth. More moving forward.
Give everyone a place to explore, review, and build on the team’s work.
Bring your team together
Open source. Open to your team.
Start with a question.
Grow with your team.
One analyst or the whole company.
Human review is part of every plan.
Solo
A governed starting point for independent analysis.
$9
/ mo
Get started- 1 seat
- 3 active data connection
- 2 active Quantum Labs
- 50 approved agent actions / month
- 50 saved queries
- Approval controls on consequential actions
Team
RecommendedA shared workspace for analysts who need reviewable work.
$49
/ seat / mo
Setup workspace- Shared Quantum Labs and notebooks
- 500 approved agent actions / seat / mo
- Saved queries and determined outputs
- Approval controls for database actions
- Team activity and change history
- Priority onboarding
Company
A governed workspace for the team responsible for data work.
$399
/ month
Talk to us- 5 seats included
- 2,500 approved agent actions / month, pooled
- Shared Quantum Labs and notebooks
- Saved queries and determined outputs
- Approval controls and change history
- Guided setup for your team
Enterprise
A governed workspace for large teams with custom needs.
Custom
Let’s find the right fit
Talk to us- Custom number of seats
- Custom approved agent actions / month
- Shared Quantum Labs and notebooks
- Saved queries and determined outputs
- Approval controls and change history
- Dedicated support and onboarding
Launch pricing. Agent-action allowances reset monthly. Taxes may apply. The upcoming query audit viewer requires Pro access in the app. Confirm your workspace entitlement with us before purchase; the packages above are not a direct mapping to in-app subscription names.
A little more context.
What is SyneHQ?
SyneHQ is a shared data workspace for growing teams. Connect your data, explore it with Kole, build SQL and Python notebooks in Quantum Lab, and keep dashboards, saved queries, and reviewable work together.
Do I need to know SQL?
You can start with a question in plain English. Kole helps build the analysis, while the SQL, Python, and source data remain inspectable for anyone who wants to go deeper.
Can I use the data sources we already have?
Yes. SyneHQ works with connected databases, warehouses, and files. Available sources depend on the connection and permissions. The data-source documentation lists supported connectors and setup steps.
How do approval controls work?
Read-only discovery can run automatically. Supported consequential actions proposed by Kole pause for a person to inspect, edit, approve, or reject. Your team stays in control of the work that gets executed.
Can the whole team work together?
Yes. Team and Company plans support shared Quantum Labs, saved queries, and team activity. Resources are scoped to the active team, with explicit controls for sharing and reviewing work.
Is self-hosting available?
Self-hosting the complete SyneHQ workspace is a future direction and is not currently available. Individual open-source projects, including Lumen and Rabbit, have their own deployment options. Contact the team to discuss your requirements.