Answers with context
Your metrics, segments, and definitions live beside the data. Every answer speaks your business’s language.
Meet KoleYour new AI data analyst
Your data, your context, and an AI analyst that gets it. Turn everyday questions into answers your whole team can act on.
- Your existing data
- Human-approved actions
- One shared workspace
Your next answer starts hereExplore the sample workspace
SyneHQ /Acme workspace Search your workspace ⌘ KJDYour business, at a glance
Sample dataA little context. A lot of clarity.
Total revenue
$128,430
↗ +18.4% vs. previous quarter
Active customers
1,842
Across connected sources
Revenue by segmentThis quarter
EnterpriseGrowthTeam
The Syne difference
Bring your data, business context, and AI into one workspace. So every question becomes a clearer path to what’s next.
An analyst alongside you
Ask Kole a question. Follow the sources, inspect the analysis, and go deeper in the same workspace.
Work worth building on
Keep SQL, Python, charts, and notes together. Turn a useful answer into knowledge the whole team can reuse.
AI moves. You decide.
Let Kole do the discovery. Review consequential actions before they run, with the evidence attached.
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.
The platform
Everything your data needs.
All in a day’s work.
Explore the platform01
SQL + PYTHON
Quantum Lab
The question, code, and answer. Together.
02EXPLORE + QUERY
Data Explorer
Get to know the data behind every decision.
03VISUALIZE + SHARE
Dashboards
Turn your findings into a shared view.
04CONNECT + COMBINE
Tangents
One query. Across your databases and files.
05ASK + UNDERSTAND
Kole AI
A capable analyst, right by your side.
Your AI data analyst
Meet Kole.
A question away
from clarity.
An AI analyst that understands your business and does the work alongside you. From the first question to the next decision.
Meet your AI analystScroll to follow the story, or choose a step.
01 / Ask Kole SAMPLE SESSION
Which segments drove net revenue this quarter?
Kole SAMPLE SESSIONI’ll compare net revenue by segment and look at what changed from last quarter.
Connected to your warehouse
Checked orders and account schemas
Applied your net revenue definition
Enterprise accounts drove the increase, led by expansion revenue.
Your context. Your control.Illustrative preview
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…
Data migrations / Change tickets
A second look.
Before the first change.
Move from proposed SQL to a reviewed change ticket. Keep the requester, target, and approval together, so the decision is as visible as the work.
Change requestsInteractive example · no database connected
TICKETS / 02
Human review before execution
CHG-024
Add a renewal date
- Draft
- Review
- Approved
- Applied
- Connection
- Production · PostgreSQL
- Target
- public.contracts
- Requester
- Alex Morgan
- Reviewer
- Jamie Chen
ALTER TABLE public.contracts
ADD COLUMN renewal_date date;Adds a nullable date column. Existing contracts keep a NULL value until a separate backfill is reviewed.
Inspect the statement, then try a review decision.
Schema changes and data backfills, with the SQL visible before approval. Transaction and rollback support depend on the database engine and statement.
Explore migration reviewsConnected. Considered. In control.
Built for the way your team
and your data actually work.
Data Explorer
Know your data.
Down to the detail.
Browse records, trace declared foreign keys, and query your database in one workspace. Stage supported edits and inspect the generated command before applying them.
- Grid, JSON & Kanban
- Foreign-key diagrams
- SQL & mongosh consoles
- Review staged edits
Connect your existing stack
PostgreSQL · MySQL · ClickHouse
Explore tables, inspect the schema, and keep your queries connected to their source.
See supported data sourcesRecords, relationships, and SQL. One connected view.
Kole for Slack
Ask in the thread.
Keep the team in the loop.
Mention Kole in Slack to ask questions about your connected data. Explore available connections and keep the answer alongside the conversation your team is already having.
team-analyticsIllustrative conversation
Alex 9:41 AM
@Kole How many orders were paid this week?
Kole APP
There are 248 paid orders in this sample.
public.orders / status = paid
Set up Slack in your workspaceWorkspace integration
Kole MCP server
Your AI tools.
Now connected to your data.
Use Kole from MCP-compatible clients such as Claude Desktop and Cursor. Explore tables and schemas, run SQL, or ask in plain English using your SyneHQ API key and database connections.
Your editorMCP client
Show me the top customers by revenue.
Tool available through Kole MCP
execute_query
Kole MCPYour connected data
Governance
Move confidently.
Stay in control.
Team-scoped access, configured masking, and human approval for consequential work.
See the controlsCollaboration
Less back and forth.
More moving forward.
Give everyone a place to explore, review, and build on the team’s work.
Bring your team togetherReal teams. Real progress.
Less time finding answers.
More time acting on them.
Read the customer storyfarmako.
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.
Thirdbase
“With their robust platform, we've seamlessly integrated multiple data sources, unified analytics, and automated standard reporting, saving us countless hours each week.”
Mintair
“Within days, it streamlined our workflow. The balance of security and innovation it offers is unlike anything we’ve seen.”
Customer feedback · paraphrased
ZunofyThe team reports more efficient database changes, migrations, and data exploration. SyneHQ also makes business decisions easier.
Girish Raju · CTO
Customer feedback · paraphrased
Stealth startup
SyneHQ helps the team work more efficiently with database changes, migrations, and data exploration, while making business decision-making easier.
Health-monitoring AI startup
Room to grow
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
- 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
- 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
- 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
- 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.
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 the 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?
A self-hosted deployment option is a future direction. It is not currently available; details will be published when it is ready. Contact the team to discuss your deployment requirements.