Financial clarity before commitment
See the financial case before you commit.
Choose a model for your sector, set the drivers that matter, and compare your options before committing time or capital.
- Start with a guided model
- Compare realistic options
- Share a clear report
You bring the business judgement; the model handles the financial structure.
Start with the right model
Choose a sector model built around the operating and financing choices you need to examine.
Make it your case
Replace starting assumptions with your capacity, prices, costs, timing, and funding plan.
See the trade-offs
Compare a base case with realistic upside and downside options before you commit.
Share the decision
Use clear outputs and exports to explain the case to colleagues, lenders, or investors.
A practical walkthrough
Should this coffee estate go ahead?
Follow a project sponsor from a first question to a decision-ready report. This example shows the workflow; your own figures stay editable at every step.
- Decision
- Is the proposed coffee estate financially viable?
- Model
- Coffee Agri-business
- Reviewers
- Project sponsor, finance team, and lender
- 1Choose the model
Open the Coffee Agri-business model and create a project for the estate under review.
- 2Build the case
Set planting area, harvest yields, processing route, export pricing, and funding.
- 3Test the options
Run base, downside, and upside cases to see what changes the investment case.
- 4Review and share
Review cash generation, returns, and debt cover, then export the case for discussion.
A structured case, built once and reused.
The model, your assumptions, and the report stay connected from the first question to the final discussion.
Sector logic is already linked
Operating assumptions flow into financing, financial statements, valuation, and decision metrics in one workspace.
Every result keeps its context
Model version, inputs, scenario, reporting currency, and the immutable calculation run remain attached to the result.
Outputs are built to be examined
Compare cases, inspect limitations, and export a consistent evidence pack for colleagues, investors, or lenders.
How it works
From first question to decision-ready result.
A guided workflow keeps the model, review, and evidence connected.
- 1
Discover
Understand the platform, create your account, and enter your workspace.
Ready: workspace open - 2
Select
Find the right sector model, then create and name your project.
Ready: model fit confirmed - 3
Build
Enter assumptions, check sources, save the workspace, and validate the case.
Review and refine inputs - 4
Calculate
Run the analysis, monitor status, review model health, and resolve exceptions.
Review, correct, and rerun - 5
Decide
Compare scenarios, export the evidence, and record the decision.
Decision-ready result
PeopleProject owner → Model user → Operating and finance reviewers → Approver
EvidencePreserve the exact run, scenario, reporting currency, limitations, and export.
Model catalogue
Start with the sector you know.
Each model has its own assumptions and outputs while sharing one consistent workspace.
Sector37 models
Agriculture and livestock
Plan production, biological cycles, operations, and farm investment.
- Maize_Soya_agri-business
- Sunflower Agri-business
- Maize Agri-business
Sector8 models
Food and beverage
Model production, inventory, routes to market, and consumer demand.
- Wine Agri-business
- Microbrewery
- Whiskey Distillery
Sector3 models
Hospitality and property
Test occupancy, development, operating performance, and financing.
- Resort Development
- Student Housing
- Boutique Hotel
Sector13 models
Energy, infrastructure and mobility
Assess assets, utilisation, operating capacity, and project returns.
- Solar Green Hydrogen
- Wind Green Hydrogen
- PPP Road Financing
Sector17 models
Mining and natural resources
Connect mine plans, commodity economics, funding, and investor returns.
- Lithium Mining
- Large Manganese Mining
- Large Platinum Mining
Sector1 model
Manufacturing and industry
Plan capacity, unit costs, production, financing, and factory returns.
- Clothing Manufacturing
Sector1 model
Retail and consumer
Test stores, channels, inventory, customer economics, and growth.
- Clothing Store
Sector2 models
Life sciences
Plan regulated production, investment, financing, and risk.
- Biotech
- Pharmaceuticals
Sector18 models
Investment and corporate finance
Test acquisition financing, debt paydown, valuation, and sponsor returns.
- Detailed LBO
- Three-Statement Financial Analysis
- Merger Model
Sector2 models
Security and business services
Explore the available financial models in this sector.
- Numquants Security Services
- Numquants Cyber Security Financial Model
Explore every available model by sector, capability, or the decision you need to make.
Browse all modelsClarity you can review
Understand the number before you rely on it.
NumQuants keeps the choices behind a result close at hand, so a reviewer can see what was tested and discuss what should change.
See an example model profile- The model stays identified
You can see which model was used for the project and its results.
- Your assumptions are saved
The choices and scenarios behind the case remain with the project.
- Results can be revisited
Return to a completed calculation with the inputs that produced it.
- Exports keep their context
Reports retain the selected reporting currency and calculation context.
About NumQuants
We build sector-specific models instead of one generic template, because a dairy farm, a solar plant, and a clothing manufacturer are financed, taxed, and stress-tested in genuinely different ways. Each model stays current, versioned, and open to scrutiny, so the number behind a decision can always be explained.
Over more than two decades working in development across Africa, I've reviewed many promising proposals that couldn't secure financing — not because the idea or the market was wrong, but because the proposal couldn't demonstrate financial viability: unrealistic assumptions, uncredible cash-flow forecasts, or a financing structure that didn't fit the business. NumQuants can't guarantee financing or success. What it can do is make sure the analysis behind your case is rigorous enough to withstand scrutiny.
— Kossi Toulassi, Founder
Our methodology
Every NumQuants model starts from the real mechanics of the business, not a generic spreadsheet template: the production or service constraints, the financing structure specific to the sector, and the metrics a lender, investor, or operator would actually ask about.
- Versioned assumptions
Every input is set explicitly and tied to a model version, so you always know which assumptions produced a given result.
- Immutable runs
A calculation, once run, is never silently recalculated. Re-run it deliberately when an assumption changes, and compare the two results side by side.
- Scenario and Monte Carlo analysis
Every model supports a base case, downside and upside scenarios, and correlated Monte Carlo analysis, so a decision is tested against a distribution of outcomes, not a single point forecast.
The team
Founder, NumQuants
Kossi Toulassi
Kossi Toulassi is Head of Industrialisation, Trade, Markets and Economic Analysis at the African Union Development Agency-NEPAD. He has more than two decades of experience in financial management, programme development and continental development policy.
At AUDA-NEPAD, he has held senior roles in finance and in Strategy and Programmes development, and now works on Africa's industrialisation, economic diversification, trade and market integration, including implementation of Agenda 2063 and the AfCFTA.
His research and policy interests include industrial strategy, critical mineral development, strategic resources, investment finance, data science and emerging technologies. He holds an MBA in Financial Management and is a Chartered Accountant with the Association of Chartered Certified Accountants.
Co-founder & Engineer, NumQuants
Hippolyte Toulassi
Hippolyte Toulassi is a software engineer with experience in web application and API design, application support, site reliability engineering, and fintech and enterprise systems integration.
He holds a Master's degree in Computer Science from the University of Tartu, where his thesis covered the back-end of ValChrom, a software tool for validating chromatographic analytical methods against ICH, EMA, and Eurachem guidelines. That work building scientific, data-intensive software carries directly into NumQuants: the same rigour applied to validating a laboratory method now goes into validating a financial model.
One modelling workspace for the people shaping a project.
- Entrepreneurs and project sponsors
- Financial analysts and consultants
- Investors and lenders
- Operating and strategy teams
Start with one model, and expand only when the work needs it.
Explore first, then choose access for one model, a specialist bundle, or the full catalogue.
Free
Create projects and understand how each model is structured.
Explore modelsSingle model
Full calculations and exports for the model you need.
From US$59.99 per monthUSD price. Charged ZAR 994.26 at checkout.
Choose a model
Specialist bundles
Use a focused group of related models with clear monthly pricing.
From US$99.99 per monthUSD price. Charged ZAR 1,658.71 at checkout.
Compare bundles
Pro
Full platform access for teams modelling across sectors.
US$399.99 per monthUSD price. Charged ZAR 6,636.27 at checkout.
Explore Pro
USD prices are shown for convenience.Subscriptions are charged in ZAR at checkout. Your bank may use a different exchange rate.
Ready to see your own numbers?
Create a free account, choose a model, and start with a guided base case.