Describe what you need to know. Mammoth builds the answer — and keeps it true.
Attach your data or connect a source. You get the dashboard in minutes, on a pipeline that keeps tomorrow’s numbers right — and everyone who needs to read it does so free.
Weekly Sales · Region Performance
Revenue
$2.4M
23% YoY
Pipeline
4,821
11% YoY
CAC
$142
8% YoY
Active users
18,304
5% YoY
21-day Pro trial · No credit card · Viewers always free
In production at
The problem · before Mammoth
Most teams get the answer after the decision.
Every organisation has a gap between a business question and an answer it can trust. Here is what it costs while it stays open.
01
The waiting
Every report is a ticket in someone else's queue. The answer lands in two weeks. The decision was made in six days.
02
The translation loss
Question, then ticket, then an analyst's reading of the ticket, then a report answering something slightly different, then a re-request. Every handoff loses intent.
03
The questions never asked
When an answer costs two weeks, most questions are quietly dropped. Your decisions are capped not by the data you hold but by what was too expensive to ask.
So — what is your time from a question to an answer you would sign your name to? An hour, a day, two weeks?
Build one freeOne prompt
Prepare once. Then just ask.
You build the pipeline once, without code, and it keeps itself current from then on. After that a dashboard is a sentence — and every number in it is computed from that pipeline rather than produced by a model.
Once, when you connect it
- Reading sales_fy25.csv · 4.2M rows
- Detecting schema · 18 columns, 3 date formats
- Cleaning · 2,140 blanks filled, 61 duplicates dropped
- Joining store_master on store_id
- Scheduling refresh · daily at 06:00
“Weekly sales by region, with last year as a comparison.”
- Profiling the dataview · measures, dimensions, dates
- Choosing only charts this data can support
- Grounding every field against the profile
- Building 4 metrics, 3 charts
Built in minutes — that is the dashboard above. Refreshing daily.
The hard part
Pretty is easy.
True is hard.
Anything can draw a chart. The question is whether you’d forward it to your CFO. You have already seen what sits underneath this one. The prompt is the new part; the engine has been running production pipelines for years. Every number above is computed by it rather than produced by a model.
Connected, not exported
100+ tested connectors
Prepared automatically
1B+ rows on one canvas
Never stale
Hourly to event-driven
Governed properly
Roles, versions, activity log
Honest by construction
A chart names what it plots
It says when it can't
Declined, with the reason
Proof
Results, not testimonials.
20 days → hours
to a sales picture
Nielsen data from 17 countries in 17 different shapes — three currencies, product names spelled differently in each market — reconciled into one format that refreshes monthly.
Starbucks
30h → 4h
monthly close
A month-end close that took a week of spreadsheet work now runs as a scheduled pipeline, and a new analyst is productive in under two weeks.
RethinkFirst
0
lines of code
A team of ten unpacked an awkward ticketing API — JSON buried inside columns — into a dashboard they now sell to every sports club on their books.
PTI Digital
“The speed of insights is impressive, as is the visualisation.”
Also in production at Arla Foods, where 1,200 hours a year of manual preparation went back to the analytics team.
Sharing
Everyone can see it.
Nobody pays to look.
Traditional BI charges per person who opens a dashboard, so insight stops at whoever had budget. Mammoth charges for the people who build. Viewers are unlimited and free on every plan, including the free one.
- Typical per-seat BI
- $24,000+/yr
- $24,000 to $100,000 a year for 200 people, at $10 to $42 each per month — a Power BI Pro seat at the low end, a Tableau Explorer seat at the high. Vendor rates verified 16 August 2026.
- The same 200 on Mammoth
- $0/yr
- Viewers are free. Always.
One team, one bill
200 people
- 5 builders connect data, build pipelines and publish
- 195 viewers open, filter, export and subscribe · free
Every transform, AI feature and dashboard format is on every plan, including Free. You pay for scale — storage, refresh frequency, builders, and premium connections like Salesforce or Snowflake. Never for the people who read it.
Honestly
We won’t pretend they’re bad.
The incumbents are genuinely strong at deep, specialist analytics. That’s the point — your team doesn’t need a specialist stack. One platform for the whole journey, at a price that doesn’t punish reading.
| Mammoth | Excel + AI | Power BI | Tableau | Alteryx | |
|---|---|---|---|---|---|
| Time to first dashboard | Minutes | An hour, then it's a file | Days | Days to weeks | Days |
| Who builds it | Anyone on the team | Anyone | Analyst | Analyst or BI team | Data specialist |
| Data prep in the same place | Yes, one canvas | Manual, every time | Dataflows, extra setup | Prep sold separately | Yes, its core strength |
| Brings your existing reports over | Reads .pbix and Tableau workbooks | n/a — the file is the data | Its own format only | Its own format only | Not a reporting tool |
| Stays current on its own | Scheduled + event-driven | No, someone redoes it | Gateway to maintain | Extract schedule to maintain | Scheduled workflow (Server) |
Competitor pricing and capabilities as published August 2026.
Four plans. Every feature on all of them.
Full pricing- Free
- $0
- 1 builder, forever
- Starter
- $199
- per month, up to 5 builders
- Pro
- $559
- per month, up to 10 builders
- Enterprise
- From $5K
- per month, unlimited
Paid plans priced on annual billing
You pay for scale: storage, refresh frequency, and how many people build. Dashboard viewers are always free, on every plan including Free.
Try it on your data. Today.
21 days of full Pro. No credit card. If you don’t subscribe, your work moves to the Free plan — nothing gets deleted.
- 21-day Pro trial
- No credit card
- Viewers always free