Financial planning that
speaks your language
Bridge Town replaces Anaplan and Pigment with an AI-native, code-first approach. Describe your business logic in plain English. Claude turns it into version-controlled Python models your whole team can read, review, and trust.
The problem
Your planning tool is working against you
Anaplan and Pigment were built to sell. Bridge Town was built to work.
Proprietary formula languages, vendor-specific data models, and six-month implementation cycles mean switching is never worth it — by design.
There's no git for Anaplan. No diff. No rollback. When a model breaks — and it will — you're debugging from memory.
Google Sheets in one tab, CSV exports in another, database queries in a third. Stitching it together before every board meeting is a full-time job.
Six-figure contracts. Multi-month rollouts. A dedicated Anaplan admin. And at the end of it, your model still breaks when someone changes a column name.
How it works
From plain English to production model in three steps
Step 1: Say what you need
Describe your business logic the way you'd explain it to a colleague. "Calculate ARR by segment, apply the Q3 churn rate, and flag anything more than 10% off plan." That's the whole input.
Step 2: Claude builds the model
Claude translates your description into clean, tested Python. Every formula traces back to your words. Every assumption is explicit. Nothing is magic.
Step 3: Review, refine, and share
Your model lives in git. Review the diff, run scenario analysis, and generate a shareable dashboard — all without leaving your workflow.
Features
Built for analysts, not administrators
Bridge Town packs what you actually need — and leaves out everything that's just there to justify the contract.
Natural language modelling
Write your model in plain English. Bridge Town generates Python with full documentation, unit tests, and traceability back to your original description.
Git-native version control
Every model change is a commit. Branch for scenarios, diff between versions, and roll back without drama. No more "FY25_forecast_v4_FINAL_use_this_one.xlsx".
Live data, where you have it
Connect directly to Google Sheets, CSVs, and Parquet snapshots. DuckDB runs queries in-process — no data warehouse required.
One-click dashboards
Turn any model into a shareable Plotly dashboard. Send stakeholders a self-contained HTML file or a hosted link. No BI tool license needed.
Impact diffs before you merge
Before any model change lands, see the financial delta side-by-side. Catch a broken assumption before it reaches the board deck.
Who it's for
Made for senior FP&A analysts at growth-stage companies
Senior FP&A analysts at growth-stage companies
You've shipped board decks under pressure, defended assumptions in front of the CFO, and untangled someone else's broken model at midnight before a close. You know what a good planning tool looks like — and you know that none of them have built it yet.You already know your business logic
You don't need a tool to teach you finance. If you can describe the calculation, Bridge Town can build the model — without a training course or a consultant.
You've hit the ceiling on spreadsheets
Your models are too interconnected for Excel and too fast-moving for Anaplan's six-month implementation cycle. You need something that keeps up.
You want AI that does real work
Not formula autocomplete. Not a chatbot that summarises your data. A co-pilot that writes auditable code, understands your data model, and gets out of the way.
Comparison
Bridge Town vs the alternatives
We know you have options. Here's an honest look at how we compare.
| Bridge Town | Anaplan | Pigment | |
|---|---|---|---|
| Time to first model | Minutes | 3–6 months | 4–8 weeks |
| Version control | Native git | None | Basic history |
| AI that writes code | Built-in | Bolt-on | Bolt-on |
| Auditable logic | Full trace | Partial | Partial |
| Pricing model | Usage-based | Enterprise contract | Enterprise contract |
Stop managing your
planning tool. Start using it.
Bridge Town is in early access. Join the waitlist and be first in line when we open the doors.