Business intelligence for teams without an analyst

Live view

The report your team will actually read.

Innsights turns the spreadsheets and systems you already run on into dashboards anyone can build — then sends each person their own numbers to WhatsApp, automatically.

Book a live build session Watch it work — 60 seconds

Bring one of your own datasets. We build the dashboard while you watch.

No data model
No formula language
Runs on your own servers if you want

Data source

Google Sheets Excel PostgreSQL Shopify + 40 more

Innsights · synced 4 minutes ago · dashboard rebuilt · 24 reports queued for 08:00

Live

Retail Ops / Daily Revenue

Auto

Period Last 12 months Region All Channel Retail + Filter

Day Week Month

Net revenue

₹42.8L

+12.4% vs last yr

Orders

18,204

+6.1% vs last yr

Avg order value

₹2,351

−1.8% vs last yr

Repeat rate

34.6%

+3.2% vs last yr

Revenue trend

Monthly · net of returns

This yr Last yr

Regional performance

Revenue · vs last week

West ₹16.4L +9%
North ₹11.2L +14%
South ₹8.9L −8%
East ₹6.3L +5%

Daily 08:00 · 24 recipients · own numbers only

Top stores

142 rows

Store	Region	Revenue	vs LW
Andheri West	West	₹3,84,200	+12.4%
Koramangala	South	₹3,12,900	−8.1%
CP Delhi	North	₹2,96,400	+14.2%
Salt Lake	East	₹1,88,700	+5.0%

Recipients

24 people

Priya S. West region
Rahul M. 12 stores
Meera K. All India

Each row is filtered to what that person is allowed to see.

This morning

08:00

Built: 24
Sent: 24
Failed: 0

Sent automatically at 08:00

Innsights

report bot · today 08:00

Daily numbers — Wed, 24 Sep

Net revenue: ₹1,42,800
Orders: 612
Avg order value: ₹2,333

▲ 12% vs last Wednesday. Top store Andheri West.

South region down 8% — 3rd week running.

Open dashboard ›

08:00 ✓✓

Each person gets only their own numbers

Delivered to WhatsApp Email Manager

How it works

From a raw spreadsheet to a scheduled report. In an afternoon.

01 Connect

Connect what you have

Spreadsheets, Google Sheets, databases or any API — column types detected for you.
sales_2026.xlsx 12,480 rows
- order_date DATE
- region TEXT
- revenue CURRENCY
- qty NUMBER
4 of 4 types detected
02 Join

Click the matching columns

That's the whole of joining two systems. No data model to design.

orders

customers

order_id

name

cust_ref

cust_id

amount

region

Joined on cust_ref = cust_id
03 Build

Build it, or ask for it

25+ chart types, or ask a question in plain English and get the chart back.

+19

Revenue by region, last quarter

W
N
S
E
04 Deliver

Send it to WhatsApp

Save the view, set a time. Forty managers get forty different reports, weekly.
Every Monday 08:00 On
- Priya West ₹58,400
- Rahul South ₹31,200
- Meera All India ₹1,42,800
40 recipients · 40 different reports

WhatsApp delivery

Every manager gets their own region. Automatically.

The report arrives as a WhatsApp message with the chart in it — no login, no app, nothing to install. Each person gets only their own filtered slice, and every permission rule still applies.

Their region, not the company's

One schedule serves forty managers with forty different reports.
Set once, runs forever

Adding a branch means adding a view, not a distribution list.
Any schedule, or only when it matters

Daily, weekly, or only when a number crosses the line you set.
Everyone sees their own numbers

Row and column-level security, enforced on every query.

Innsights dashboard

Daily Revenue 28 cols

Filter

region = West 412 rows

Personalised report

Priya S. Mon 08:00

9:41

Innsights

report bot

Today

West region

Wk 38

₹58,400

▲ 9%

Generated by Innsights

Good morning Priya — West is up 9% this week.

Andheri West led at ₹38,400.

Powai down 12% — third week.

Open dashboard ›

08:00 ✓✓

Message

Priya receives her own report. West region only — the same dashboard, her slice of it.

Performance

Cross-source pivot · 10M rows

Ten million rows. No waiting.

89s Before

4.5s After

A cross-source pivot, same data, before and after.

10M+ rows: Routine in a single source, no hard ceiling.
Minutes to build: From upload to a working dashboard.

Features

What Innsights does.

Connect it, join it, build it, ask it, send it, and control exactly who sees what. All of it in the browser, all of it included.

Connect

Data sources Sync Refresh

01 — Sources

Connect anything you already run on

Spreadsheets, Google Sheets, PostgreSQL and MySQL, or any HTTP API.
Build a source by querying and combining your other sources.
Types, currencies and blanks detected automatically.

Sources 4 connected

Google Sheets

sales.xlsx

PostgreSQL

HTTP API

One dataset 28 columns

order_date DATE
revenue CURRENCY ₹
region TEXT
qty NUMBER

Refresh history Every hour

18:00 yesterday 09:00 now

09:00 +412 rows 1.2s Updated
08:00 +388 rows 1.1s Updated
07:00 no change 0.4s Skipped
06:00 +501 rows 1.4s Updated

Next run 10:00 · incremental, changed rows only

02 — Scheduling

Keep it fresh without thinking about it

Refresh hourly, daily, weekly or on a custom interval.
Only fetch what changed; re-uploads update, never duplicate.
A full history of every refresh, with row-level detail.

Build

Joins Charts Pivots Calculations

03 — Relationships

Join two systems by clicking two columns

Customers

id INT

customer_id TEXT connects to

region TEXT

tier TEXT

connects to

Orders

order_id INT

customer_id TEXT

region TEXT

amount CURRENCY

Matched on 2 columns — customer_id and region

No data model to design — pick the matching column on each side.
Join on more than one column at once.
Linked columns work in charts, filters, pivots and formulas.

04 — Building

Build the report yourself

More than twenty-five chart, table and KPI types.
Switch chart types in one click without losing configuration.
KPI cards that show the movement against the last period.

Type +19

Fields

region
revenue
orders
order_date

Rows region

Values revenue

Net revenue

₹42.8L

▲ +12.4% vs last period

Orders

18,204

▼ −1.8% vs last period

Revenue by region

West

North

South

East

Collapsed shows Total Export

Region	Q1		Q2		Total
Region	Units	Rev	Units	Rev	Total
West	1,240	₹4.2L	1,390	₹4.8L	₹9.0L
Mumbai	820	₹2.8L	910	₹3.1L	₹5.9L
Pune	420	₹1.4L	480	₹1.7L	₹3.1L
North	980	₹3.1L	1,050	₹3.4L	₹6.5L
Grand total	2,220	₹7.3L	2,440	₹8.2L	₹15.5L

05 — Pivots

Pivot tables that behave

Multi-level rows and columns, with subtotals and grand totals.
Choose what a collapsed group shows — total, average or highest.
An Excel export with merged headers exactly as they appear on screen.

06 — Calculations

Calculate what you need, without a formula language

A guided builder writes the expression, or type it directly.
Row and summary calculations, across joined sources.
Filter on a calculated result, not just a raw value.

New calculation

Name margin_pct

Guided builder

revenue − cost ÷ revenue × 100 +

((revenue − cost) / revenue) × 100

Valid · returns PERCENT

Store	Revenue	Cost	margin_pct
Mumbai	₹2.8L	₹1.9L	32.1%
Pune	₹1.4L	₹0.9L	35.7%

Filter · margin_pct > 30%

Ask

Plain English Schema aware Exploration

07 — Assistant

Ask a question in plain English

Show me sales by region for this month. Ask

Schema read directly 4 sources, 28 columns answered in 1.2s

Answer

Add to dashboard Save as view

Sales this month

₹42.8L

▲ +12.4% vs last month

Top region

West

₹16.4L · 38% of total

Sales by region

₹16.4L West

₹11.2L North

₹8.9L South

₹6.3L East

Region	Sales	Share
West	₹16.4L	38%
North	₹11.2L	26%
South	₹8.9L	21%
East	₹6.3L	15%

Answered under the asker's own permissions — nothing they could not already open.

Reads your schema directly — nothing to configure per source.
Answers as a number, a table or a real chart.
Bound by exactly the same permissions as the person asking.

Revenue by region Click a bar

West

North

South

East

region = West AND ( amount > cost OR tier = A )

Order	Store	Date	Amount
10482	Andheri West	24 Sep	₹4,200
10483	Powai	24 Sep	₹1,980
10484	Bandra	23 Sep	₹3,640

Export Excel CSV JSON 412 of 412 rows you can see

08 — Exploring

Explore the detail behind any number

Click a chart segment or pivot cell to see the underlying rows.
Filters that nest groups and compare columns on the same row.
Export to Excel, CSV or JSON — respecting what you're allowed to see.

Deliver

Saved views WhatsApp Email Alerts

09 — Saved views

Save a view once, reuse it everywhere

Filters, columns, grouping and sorting, saved under a name.
Share privately, publicly, or with specific people and roles.
This is what a scheduled WhatsApp or email send is bound to.

Dashboard

Daily Revenue

Save view

West — weekly

3 filters 8 columns grouped by store sorted by revenue

Private Public link Role · Regional manager

40 people in this role

Schedule

Every Monday · 08:00 bound to this view

Delivery West — weekly

Saved view

Mon 08:00

PDF

On demand

Alert · net revenue drops below ₹40L → send immediately

10 — Delivery

Deliver it, do not just publish it

Scheduled sends to WhatsApp, email, or both, on any cadence.
Alerts instead of schedules, for the moment a number moves.
Whole dashboards export to PDF exactly as they appear on screen.

Control

Row security Column security Permissions

11 — Security

Everyone sees their own numbers

Company data

10M rows · 28 columns

Permission engine

Row + column rules

Enforced on the server · browser, exports and the assistant

Manager A

Rows: Region A
Visible: 2.1M rows

cost hidden

Manager B

Rows: Region B
Visible: 1.8M rows

cost summary only

Admin

Rows: All regions
Visible: 10M rows

all columns

Row-level security matched against who someone is.
Column-level security: visible, summary-only, or hidden.
Enforced on the server — in the browser, exports and the AI assistant.

Details

And the small things that decide it

In-product help: Help that lives inside the product, kept in step with every change.
Sign-in: Sign in with Google, or email and password under a real policy.
Dark mode: Dark mode across the whole product, including exports.
Your own columns: Your own columns on any source — notes, calculated fields, or linked values.

FAQ

Questions we get asked first.

Do we need an analyst to use this?

No. Sources join by clicking matching columns, and questions can be asked in plain English.

Can we run it on our own servers?

Yes — the whole product, not a restricted edition. Your data never leaves your network.

How big a dataset can it handle?

Ten million rows in a single source is routine, with no hard ceiling.

Can different people see different data?

Yes — row and column-level security, enforced on every query, export and delivery.

Live build session

Bring us one dataset you struggle with.

We'll build the dashboard for it in a single session, with your real numbers, while you watch.

Book a live build session Watch it work — 60 seconds

Bring your own dataset
No data model
Runs on your own servers if you want

The report your team will actually read.

From a raw spreadsheet to a scheduled report. In an afternoon.

Connect what you have

Click the matching columns

Build it, or ask for it

Send it to WhatsApp

Every manager gets their own region. Automatically.

Ten million rows. No waiting.

Connect anything you already run on

Keep it fresh without thinking about it

Join two systems by clicking two columns

Build the report yourself

Pivot tables that behave

Calculate what you need, without a formula language

Ask a question in plain English

Explore the detail behind any number

Save a view once, reuse it everywhere

Deliver it, do not just publish it

Everyone sees their own numbers

Do we need an analyst to use this?

Can we run it on our own servers?

How big a dataset can it handle?

Can different people see different data?

Bring us one dataset you struggle with.