Data & Analytics
Turn your data into real business impact.
From data pipelines to interactive dashboards, we help you unify, analyze, and visualize your data — so you can make faster, smarter decisions and unlock new opportunities.
Revenue$0.00M↑ 12.5%
Active Users0.0K↑ 8.2%
Growth Overview Revenue Users
- Sales up by 32% in Q3
- Operational cost reduced by 18%
- Customer retention increased by 24%
12.4KEvents/min
99.9%Uptime
120msResponse
Microsoft
Slack
Snowflake
BigQuery
dbt
Power BI
Python
RazorpayMicrosoftSlackSnowflakeBigQuerydbtPower BIPythonRazorpayOur mission is to simplify analytics by designing dashboards that reveal what truly matters
We believe analytics should be as intuitive as they are powerful. Our approach blends clean visual design with data-driven thinking to create dashboards that don't just show numbers — they tell stories.
milisyncInsight by AI
Most teams choose us for their analytics
+Value
Your dashboards are delivering 0% clarity in the insights0%
What we build
Seven ways data becomes a decision.
BI Dashboards & Reporting
The board pack, the operator view, and the Monday number — one model underneath.
Data Engineering & Pipelines
Ingest, clean, and land every source on a schedule.
Predictive & Prescriptive
Forecasts and next-best actions, not another static report.
Warehousing & Modeling
One model the finance and ops teams can both trust.
Real-Time / Streaming
The number on the wall matches what just happened.
Governance & Quality
Owners, tests, and access — before the dashboard ships.
Embedded Analytics
The same charts, inside the product your customers already open.
Features
Everything You Need to Scale Faster
Scalable platform
Route$84,300
Live demo
Change the window. Watch the chart move.
SatSunMonTueToday
12AM6AM12PM6PM
0.00%uptime
All systems operational
$0MTD
01.8% rate
- timeout9
- rate-limit7
- tool-error5
0.00sp50
tr_73df3cresearch_agent548mstr_a395efresearch_agent1.51str_baa822research_agent2.17str_795d2fresearch_agent3.49s
0.00↑ 0.03
- Faithfulness0.94
- Relevancy0.89
- Correctness0.91
- web_search426
- code_interpreter278
- sql_query196
0.0M tokens
- gpt-4.154%
- claude28%
- local18%
68Performance
Indicators
Unlock the Hidden Patterns
Monitor 84 key indicators across your business
to stay fully informed.
Meet the AI Behind Your Insights
Leverage AI-powered forecasts to anticipate trends and plan ahead.
Explore AI
+Gross Revenue$248,900
Reminders That Drive Action
Smart reminders that guide your actions and help you focus on what matters.
Your data, visualized
Today7 Notifications
+- 12
- 13
- 14
- 15
How we work
From a messy export to a number someone trusts.
- 01
Discovery & data audit
What decision is late, and which sources actually hold the answer.
- 02
Pipeline & warehouse
Ingest, tests, and a model finance and ops can share.
- 03
Dashboard design
The views people open on Monday, not a gallery of charts.
- 04
Model / AI layer
A forecast or next action, only where it beats the spreadsheet.
- 05
Rollout & training
The people who own the number learn how to read it.
- 06
Ongoing monitoring
Freshness, drift, and a named owner when a source breaks.
Proof, in the metric.
3 days → same day
The Monday board pack stopped being a weekend job.
Four spreadsheet owners became one warehouse model. Finance opens the dashboard instead of waiting on a file.What changes once the number is shared.
FAQ
Questions worth a straight answer.
Not to start. We set up the pipeline, the model, and the dashboard, and we leave an owner on your side who can run it. A full team is a later decision, not a prerequisite.
Yes. Most engagements start there. We keep the tools your team already opens, and we replace the fragile parts — usually the copy-paste between them.
Access, retention, and a named owner for each source are part of the first audit. We do not ship a dashboard on a file nobody is allowed to explain.
Week one is the audit: sources, definitions, and the decision that is currently late. By day 30 you have a working pipeline and one dashboard people actually use.
Bring the export you are tired of rebuilding.
You will leave knowing which source we would trust first, which dashboard we would ship, and what we would not automate yet.
