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Develop and maintain financial models and forecasts

Upload historical data to ZeroTwo and let AI assist in building cash-flow models, valuation analyses, and restructuring scenarios. The system explains every assumption, highlights key sensitivities, and produces slides ready for client presentations.

Revenue Forecast — Base Case
FY 2023A$48.2M
FY 2024A$56.1M
FY 2025E$65.4M
FY 2026E$74.8M
Historical_Financials.xlsx
Assumptions documented
✓
ZeroTwo

Revenue growth of 16.5% in FY 2025E is driven by new logo additions in the enterprise segment. This is above the peer median of 12%. I've flagged this as an upside assumption—consider a downside scenario at 10% growth.

Cash-Flow Model — 5-Year Projection
Revenue CAGR (5yr)14.8%
EBITDA margin (Year 5)27.3%
Free cash flow (Year 5)$18.2M
Capex intensity8.1% of revenue
Working capital assumptionAbove peer median — flagged
Valuation Analysis — Summary
DCF implied value$142M – $168M
EV/EBITDA (comps)11.2x – 14.8x
Precedent transactions13.5x – 17.2x
WACC sensitivity range8.5% – 11.0%
Terminal growth rate2.5% — above consensus
Restructuring Scenarios — Comparison
Scenario A: Debt-for-equity swapIRR 18.4%
Scenario B: Asset sale + refinancingIRR 14.1%
Scenario C: Standalone refinancingIRR 9.2%
Covenant headroom (Scenario A)Tight — 1.1x coverage
Creditor recovery (base case)62% — below par
Sensitivity Analysis — Key Value Drivers
Revenue growth (±5%)±$22M equity value
EBITDA margin (±2pp)±$14M equity value
WACC (±1pp)±$11M equity value
Terminal growth (±0.5pp)±$8M equity value
Capex intensity (±2pp)±$5M equity value

AI built for every financial modeling workstream

AI-assisted model building

ZeroTwo structures your data into best-practice financial models and flags missing assumptions, saving hours of manual setup on every engagement.

Clear assumption documentation

Every model assumption is explained in plain language for client discussions and audit trails, so your team can defend every number with confidence.

Presentation-ready outputs

Generate polished slides and charts directly from model outputs, ready for client delivery. No more manual copy-paste between Excel and PowerPoint.

How to build financial models with ZeroTwo

Step 1
Upload historical data

Upload financial statements, management accounts, and operational data in any format—Excel, CSV, or PDF. ZeroTwo parses and normalises every input, building a clean dataset ready for modelling.

Step 2
Build the model

ZeroTwo structures your data into best-practice financial models—DCF, LBO, comparable company analysis, or bespoke restructuring scenarios—with AI-suggested assumptions based on industry benchmarks.

Step 3
Explain assumptions

Every model assumption is documented in plain language. Ask ZeroTwo to justify a growth rate, explain a discount-rate choice, or flag where assumptions deviate from peer medians. Perfect for client Q&A.

Step 4
Generate presentation slides

Export polished slides and charts directly from model outputs. ZeroTwo formats key metrics, waterfall charts, and scenario comparisons into client-ready presentations in minutes, not hours.

Upload financial statements, management accounts, and operational data in any format—Excel, CSV, or PDF. ZeroTwo parses and normalises every input, building a clean dataset ready for modelling.

Step 1
Upload historical data

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Deliver better models, faster

Start your next financial modeling engagement with ZeroTwo and let AI handle the heavy lifting on model construction and assumption documentation.