Your first data team,
without the hiring process
We help early-stage startups build their first dashboards, get insights from their data, and set up self-serve analytics — so your whole team can get answers without waiting on anyone.
Built for teams figuring out data for the first time
You have data. You just don't have time to turn it into something useful.
You need your first dashboards
You have data in Postgres, Stripe, or Shopify — but no one on the team has time to build the reporting layer. We'll build it for you.
We connect your sources, build dbt models, and deliver dashboards your whole team uses daily — in Fabi, Metabase, or Looker Studio.
You want to be AI-ready
AI tools are only as good as your data. We'll help you clean, structure, and connect your data so you can actually use it.
Clean schema, semantic definitions, and business logic layers that let AI tools understand your data — not just query it.
You want self-serve analytics
The goal isn't to create a dependency on us. It's to set up your team so anyone can find answers without needing an analyst on call.
Training, query templates, and documentation so product, sales, and ops can answer their own questions — no analyst bottleneck.
What we do
- Dashboard & reporting buildout
- Business intelligence setup
- AI readiness assessment & implementation
- Executive reporting & automation
- Ongoing fractional data support
How it works
Scoping call
We understand your data, tools, and goals
Proposal
Specific deliverables, timeline, and cost
Build
We build it. You stay in the loop.
Handoff
Documentation, training, and you own it
Common questions
Is Fabi a tool or a service provider?
Both. Fabi is a BI and analytics platform you can use directly, and we also offer hands-on services — data engineering, dashboard buildout, analytics consulting — for teams that want expert help getting set up. You can use the tool on its own, work with us on a project, or both.
Do we need a full-time data hire?
Probably not yet. Most early-stage teams need 2–3 months of focused setup work, not a full-time analyst. We help you build the right foundation without over-committing.
What data sources do you work with?
We work with most common startup data stacks — Postgres, MySQL, Stripe, Shopify, HubSpot, Mixpanel, Google Analytics, and more. If you're not sure, just reach out and we'll tell you.
How long does a typical engagement take?
Depends on scope, but most foundational setups take 4–8 weeks. Some teams start with a single dashboard sprint — 1–2 weeks — and go from there.
Will we be dependent on you long-term?
No — that's not the goal. We build things your team can own and maintain. We're happy to stay on for ongoing support, but you won't need us for day-to-day questions.
How is this different from just hiring a freelance data analyst?
We bring a full stack: strategy, tooling, infrastructure, and AI enablement — not just query writing. Setup is faster and more durable because we've done this before.
Do you do data engineering as well as analytics?
Yes. We cover both sides: data engineering (pipelines, warehouses, data modeling) and analytics consulting (dashboards, reporting, self-serve tooling). Most engagements involve some of each.
Ready to stop guessing and start knowing?
Most teams are 2–3 weeks away from having real reporting. Let's talk about where you are and what it would take.