About Bridge Town
Financial planning that
speaks your language
Bridge Town replaces proprietary tools like Anaplan and Pigment with a bring-your-own-agent, code-first approach. FP&A analysts describe business logic in plain English — their agent handles the Python through Bridge Town MCP tools, while Bridge Town manages version control and collaboration.
/ What we're building
A platform where financial models are code — readable, testable, and version-controlled.
01
Agent-native modelling
Describe your budget, forecast, or variance analysis in natural language. Your agent writes the Python through Bridge Town MCP tools; Bridge Town connects the data, runs the model, and versions the result.
02
Version control built-in
Every model has a complete, versioned project history. Branch, diff, merge, and roll back — the same discipline that made software engineering reliable, applied to financial models.
03
Real collaboration
Review model changes like code changes. Impact diffs show exactly how a proposed change affects your forecast before you merge.
04
Google Sheets integration
Connect your existing Sheets as data sources. Drivers, actuals, and assumptions flow directly into your models without manual exports.
05
Interactive dashboards
Models produce Plotly dashboards automatically. Share a link — stakeholders get a live view without touching a spreadsheet.
06
MCP-first interface
Bridge Town is built around the Model Context Protocol. Use it via Claude Desktop, Claude Code, or any MCP-compatible AI client.
/ Our principles
The decisions behind how we build.
1
Open standards over proprietary lock-in
Your models are plain Python. Your data pipeline runs on open tools. You own your work — export it, run it locally, or move on without a migration fee.
2
Reproducibility is non-negotiable
Re-running a model at a past commit against the same snapshot produces the same output. That is the foundation of trustworthy financial reporting.
3
Your agent is the interface, not the gimmick
Your own Claude, Codex, or Cursor agent translates analyst intent into well-structured, testable Python models through Bridge Town MCP tools. The agent is useful because the underlying platform is solid — not the other way around.
/ Why we built this
Enterprise FP&A tools are expensive, slow, and proprietary.
Reason 01
Anaplan costs too much
Enterprise FP&A tools charge six figures for features that add complexity without adding value. Bridge Town does more for a fraction of the cost.
Reason 02
Spreadsheets do not scale
Version control, peer review, and automated testing exist in every other field of knowledge work. FP&A deserves the same infrastructure.
Reason 03
Analysts should not need to learn proprietary languages
Pigment and Anaplan have their own formula languages that go nowhere. We use Python — the most widely-used language in data work — so analysts build transferable skills.
Contact
Get in touch
Questions and support
Reach us at support@bridgetown.builders for help with your account, models, or integrations.
Enterprise enquiries
Interested in an Enterprise plan or a custom procurement arrangement? Email support@bridgetown.builders.