From first prompt to investor-ready Excel. Compile a real one yourself, in sixty seconds.
compile one now →Your Series A model,
compiled.
You don't need an FP&A tool. You don't need a fractional CFO yet. You need a model your AI agent can build, your investor can audit, and you can stop being afraid to touch.
Institutional Excel-export rubric. Cover, Inputs, Model, Assertions, Scenarios, Checks. Bit-identical, every export.
rubric · public →Largest compiled DAG in the benchmark suite. Cold compile, zero errors. Your model fits.
bench · scale-warm →Same IR always produces same outputs. The number your investor sees is the number you saw.
determinism test →Fifty free answers to start, no card. Then $0.10 per answer. Cheaper than the Notion seat for your one analyst.
pricing detail →Your investor opens an .xlsx. They never know Flatland exists unless you tell them.
vs Excel →Not Carta financial.
Not a planning tool.
A model.
Intake
Your compile contributes to the live system heartbeat. Anonymized: no model contents, names, or assumptions leave your browser.
Excel export with live formulas available in the Workshop after signing up.
Sarah,
Sending over the Q3 model we discussed. Built it this week with our agent on Flatland: same six-sheet structure your team uses, plus the typed compile layer.
- ARR end of year 1: $1.62M (forward 24mo, 12 drivers, 4 assertions)
- Gross margin: 82.0%: passes our SaaS floor
- Runway: 18 months at current burn: clears our Series A target
- Burn multiple: 3.86: over the 1.5 ceiling. Diagnosis included on the Assertions sheet.
The downside scenario (3-arg sensitivity on churn, new logos, and pricing) is on the Scenarios sheet. Happy to walk it on a call.
Best,
Isaac
Six sheets your investor already recognizes. Every cell traceable to a typed driver. Every assertion fires loudly when an assumption breaks. The artifact your partner opens is identical to the one your auditor will receive twelve months later.
Compiled answers across your engagement roster.
The compile layer Finance Engineers use. Typed drivers, recomputable models, audit-trailed exports across all your clients.
A financial modeling MCP your agent can call.
Typed IR. DAG. Sensitivity. Scenarios. Excel. One npx command and your agent harness has a deterministic finance backend.
The typed substrate platforms embed.
If you're building a finance product on top of LLMs, Flatland is the deterministic layer underneath. OEM-able. White-label-friendly.
Compile a model
your investor can
actually audit.


