AI-native data infrastructure

Everything your first data hire would build, already running.

Building your data foundationThe things a first data hire builds in their first six months, and how long the same build takes with Fymo.
Workstream
Month 1M1Month 2M2Month 3M3Month 4M4Month 5M5Month 6M6Live · week 2
Connect every sourcePostgres, HubSpot, Stripe and more
Host the warehouseManaged and secured
Link customer recordsAcross billing, CRM and product
Model the businessRevenue, customers, usage
Agree metric definitionsMRR, churn, pipeline
Test every numberChecks on every refresh
Watch for changesSchema changes handled
Answers for every teamDashboards and AI workspace
6 months of building, usually by one person, before every team can trust the numbers. Then someone has to keep it all running.
2 weeks to build all of it with Fymo. After that, Fymo keeps everything running.
Live in two weeks
Named Fymo expert
Nothing to maintain
No usage limits

Fymo is AI-native data infrastructure for growing companies.

Fymo connects to your raw systems, builds and hosts your warehouse, models and tests your data, and gives every team dashboards and an AI workspace. It is built for companies with no data team yet, or one person doing everything.

The whole data stack

From raw sources to trusted answers, in one platform with one price.

Built and maintained by AI agents

Agents connect, model, test and monitor your data, and adapt it as your business changes.

Guided by a named expert

A Fymo expert sets everything up with you and stays on hand as your data, teams and priorities grow.

Our partners
NVIDIAAWSGoogle CloudMongoDB

Fymo does everything between your raw data and a number you can trust.

A typical setup means a pipeline tool, a warehouse, a modelling layer, a BI tool, an AI add-on and the people to keep them working together.

Fymo builds, hosts and maintains every layer, so there is nothing else to buy, connect or manage.

LAYER 1Raw sources
PostgresHubSpotStripeAny database or API
Your systems
LAYER 2Ingestion and sync
Incremental syncSchema inferenceDrift handled
Connect agentFymo
LAYER 3Warehouse and models
Managed warehouseOne metric definition eachQuality tests
Build agentFymo
Where BI and dashboard tools start
LAYER 4Answers and alerts
AI workspaceProactive alertsForecasts
Predict agentFymo
LAYER 5Every team
ProductSalesStrategyMarketing
Your teams
  1. LAYER 1Your systems
    Raw sources
    PostgresHubSpotStripeAny database or API
  2. LAYER 2FymoConnect agent
    Ingestion and sync
    Incremental syncSchema inferenceDrift handled
  3. LAYER 3FymoBuild agent
    Warehouse and models
    Managed warehouseOne metric definition eachQuality tests
  4. Where BI and dashboard tools start
    LAYER 4FymoPredict agent
    Answers and alerts
    AI workspaceProactive alertsForecasts
  5. LAYER 5Your teams
    Every team
    ProductSalesStrategyMarketing

Any raw source

Fymo connects straight to your databases, CRM, payments and product tools, then builds, hosts and maintains the warehouse around them.

Unlimited AI usage

Product, sales, strategy and marketing can explore, analyse and act on company data without token limits, source limits or usage anxiety.

One simple price

One price covers every source, every gigabyte, warehousing and AI usage.

Three steps to going live

The first six months of data work, done in two weeks.

Fymo's agents build the infrastructure. A named Fymo expert runs your onboarding and stays on hand as your data, teams and priorities change.

Connect agent6 of 6 sources · syncing

Connects to your databases, CRM, payments and product tools, keeps every sync running and handles schema changes as they happen.

Run plan
Authenticate Stripe
Discover 24 tables
Infer schema and keys
Schedule incremental sync
Reviewed by your Fymo expert
Sources · 6 connectedExample setup
SourceTypeTablesRowsState
Postgres · app-prodSQL database142418,220,104Synced
MongoDB · eventsNoSQL database3696,412,880Synced
HubSpotCRM382,904,551Synced
StripePayments2411,382,907Synced
MixpanelProduct events61804,116,320Syncing
ZendeskSupport171,206,488Synced
1ConnectDays 1 to 71 of 3

Kickoff with your Fymo expert, then every source connected and syncing into a warehouse Fymo hosts and maintains.

Your expert and the Connect agent
Connect agent6 of 6 sources · syncing

Connects to your databases, CRM, payments and product tools, keeps every sync running and handles schema changes as they happen.

Run plan
Authenticate Stripe
Discover 24 tables
Infer schema and keys
Schedule incremental sync
Reviewed by your Fymo expert
Sources · 6 connectedExample setup
Postgres · app-prodSQL database · 142 tablesSynced418,220,104 rows
MongoDB · eventsNoSQL database · 36 tablesSynced96,412,880 rows
HubSpotCRM · 38 tablesSynced2,904,551 rows
StripePayments · 24 tablesSynced11,382,907 rows
MixpanelProduct events · 61 tablesSyncing804,116,320 rows
ZendeskSupport · 17 tablesSynced1,206,488 rows
2BuildDays 8 to 122 of 3

Customer records linked, models and metrics built, then checked line by line with your team.

The Build agent and your team
Build agentrevenue_daily · 148 tests

Dedupes, reconciles and models your data into one definition of MRR, churn and pipeline, then tests every number before anyone sees it.

Run plan
Resolve duplicate customers
Model revenue facts
Run 148 quality tests
Publish to warehouse
Reviewed by your Fymo expert
Warehouse · ModellingExample setup
Rows modelled
1.24B
+2.6%vs prior week
Quality tests passed
148/148
0%last run 13:58
Pipeline uptime
99.94%
0%6 of 6 sources

Stage volume by quarter

0117234351468Q1Q2Q3Q4
3PredictDay 143 of 3

Dashboards live and every team asking questions, with forecasts drawn from every source.

The Predict agent and every team
Predict agentAI workspace · 4 teams

Answers questions from your own data, explains what changed and tells the right team.

Run plan
Read the question
Plan query across 3 models
Check against finance totals
Answer with sources
Reviewed by your Fymo expert
Revenue overview · AI workspaceExample setup
Net revenue
£4.82M
+4.2%vs prior period
Forecast, next quarter
£5.31M
+10.2%vs this quarter

Net revenue by week

£0k£177k£353k£530k£707kW22W23W24W25W26W27W28W29

After go-live, it stays fast

Fast as your data changes

Schema changes are handled as they happen, so reports keep running without anyone stepping in.

Fast to new answers

New questions draw on data that is already linked and tested, so nobody starts from a raw export.

Fast to prediction

Forecasts draw on billing, CRM and product data together, instead of one system at a time.

A data partner for every team, working from numbers everyone trusts.

With the foundation built and maintained, product, sales, strategy and marketing get their own answers, dashboards and alerts, all drawn from the same tested models. Nobody waits in a queue for the one person who knows the data.

Product

Usage trends tied to revenue and support, by customer and plan.

Sales

Accounts at risk, pipeline coverage and expansion signals, using CRM, billing and usage together.

Strategy

Revenue drivers and forecasts the board can trace back to source.

Marketing

Campaign impact measured in revenue, using the same customer records as sales.

AI workspacePredict agent
What drove revenue growth last month?
Planning query across revenue_daily, deals
Reading stripe.invoices · 11.4M rows
Checking totals against finance close
Fymo noticed6 sources
Schema drift on stripe.invoices
Two columns changed type at 13:58. Build agent updated revenue_daily and re-ran 148 tests.
Usage below baseline
Product events from Mixpanel are 18% under the weekly baseline. Product team notified.
Nightly refresh completed
6 of 6 sources synced before 06:00.

Planning your data function? Start with the foundation.

Book a demo and we'll set up a call to walk you through Fymo, map where your data lives and show you what your foundation would look like.

FAQs

Reliable answers need the data ready first: a data pipeline (ELT) pulling every source into one warehouse and keeping its history, the same customer linked across billing, CRM and product, agreed definitions of metrics such as revenue and churn, and all of it maintained as schemas and definitions change.

AI assistants and dashboards are great for ad hoc questions, but they need to connect to pre-built warehouses like Snowflake and BigQuery, or to individual apps such as Salesforce, where they stitch data together on the fly for each question, with no shared history or checks.

Fymo builds and runs the infrastructure, so every insight, dashboard and alert draws on the same checked numbers, with nothing for Engineering to maintain.

BI tools can query existing databases or warehouses, but they don’t build and maintain the pipelines, warehouse and data models needed to bring different sources together. Fymo builds, manages and maintains that entire stack, including ongoing maintenance, and provides the analytics and visualisation layer too.

See everything Fymo runs for you

You can. Without a data team, the work usually lands on your software engineers or a contractor: choosing and paying for a warehouse, pipeline and BI tools, building the models, then keeping it all working as your data changes and the rest of the company asks for new reports, ad hoc analyses and checks on whether a number is right. It typically takes 6 to 12 months before the numbers are trusted, and someone has to own it from then on. With Fymo the foundation is running in two weeks and maintained by us, and any data people you hire later work on top of it from day one.

Data teams often spend their time on maintenance, rather than helping drive the business through insight. Fymo runs the foundation - pipelines, warehouse, models and monitoring - and frees people for analysis and decisions.

Access to your sources and a kickoff with your Fymo expert. The agents connect and model your data over the next two weeks, and your expert checks the definitions with your team.

Yes. Our data policies and controls follow the SOC 2 framework, the platform is independently penetration tested, and your data runs on market-leading cloud infrastructure.

Request information from our Trust Center

Foundation first.
Answers from week two.

AI-native data infrastructure for growing companies that takes two weeks to set up with Fymo and then runs itself.