Start with a conversation.
Ask about your business in plain language. Follow up in chat as the question gets more specific.
A chat interface for every team member
AI analysis for every team
Ask your data a question.
Give your team an answer.
Ask questions in chat, create reports with charts and findings, and edit or share them with your team. Bring Kole into Slack to keep the conversation moving.
Use your team’s connected data. Start with a conversation.
Configured consequential agent actions pause for review. Connected data and Slack access follow your team’s setup.
Why Kole
Reports your team can work with.
Make the report together.
Create quarterly or financial-year reports with findings, tables, and charts. Edit the result and share it with your team.
From a question to an editable report
Bring Kole into Slack.
Ask for the data you need from your connected Slack workspace, where the team is already talking.
Your SyneHQ data, in the conversation
A closer look at Kole.
Product preview · Sample data
Kole / Team reportsIllustrative conversation and reportA question in chat
Create our quarterly sales report. Show the category mix and the cities driving revenue.
Kole
I’ve put the findings and charts into a report. You can review the breakdown, edit the narrative, and share it with your team.
Quarterly sales review
Report · Findings and charts
Ask a follow-up: “Break this down by city and add a summary for the team.”
Report previewEditShare with team
Quarterly sales review
A view of sales by category, city, and campaign, with the findings ready for discussion.
For the team review
Compare the leading cities with the category mix, then use a follow-up question to explore what is driving the difference.
Synthetic sales data. Preview only.
Start with the question behind the report
“Build our quarterly revenue review. What changed, and where should we look next?” Give Kole the business question and the period you care about. Continue in chat to compare a segment, explain a result, or refine the report.
The output can become a quarterly report, a financial-year review, or an analysis for the next team meeting. Keep the findings, tables, and charts together, then edit and share the report with the people who need it.
Keep the conversation where the team works
Connect Slack and ask Kole for the data behind a discussion without moving everyone into a new workflow. Your team’s configured connections supply the context.
When a question calls for hands-on SQL or Python, open Quantum Lab. It gives data and development teams a separate notebook workspace to inspect, extend, and rerun the analysis.
Forecasting notebooks in development
Forecasting templates are in development and pending release validation. The planned workflow takes a saved dashboard metric into a Python notebook for revenue, demand, or capacity planning, with the query, input scope, code, and evaluation kept together.
Compare simple baselines with trend and seasonal models across chronological backtests, then assess MAE and RMSE on a separate final holdout. Approximate empirical prediction bands show estimated uncertainty, without guaranteeing future coverage. If a model does not beat its baseline, the report must say so.
Missing periods, duplicate dates, truncated extracts, and insufficient history require a data-quality decision before forecasting. Automated retraining, production model monitoring, causal predictions, and accuracy guarantees are outside this preview. Availability will be confirmed after end-to-end validation and release.
Do I need to know SQL or use a notebook?
No. Talk to Kole in its chat interface. Ask follow-up questions and work with the reports it creates. Quantum Lab is a separate SQL and Python notebook for data and development teams who want to inspect or extend the analysis.
Can my team edit and share a report?
Yes. Kole can create reports with written findings, tables, and charts. Review the result, edit the report, and share it with your team. Quarterly and financial-year reviews are useful starting points.
Can I ask Kole questions in Slack?
Yes, after your team connects the Slack integration. Ask Kole about the data available to your SyneHQ team from your connected Slack workspace.
What happens before Kole changes something?
Configured consequential agent actions pause for human review. Inspect the operation and arguments, edit them if needed, then approve or reject. Read-only discovery can run without a review prompt.
Bring the question behind your next report.
Start with a quarterly review, a revenue question, or the number your team needs today.