For incubators
Give cohorts a disciplined valuation range before grants, demo days, investor introductions, or seed discussions.
The TransactionVeritas Valuation Engine is built for the hard cases incubators see every day: no revenue, no capital, no meaningful assets, no complete product, partial founder execution, and heavy dependence on external funding.
Pre-revenue startups cannot be valued cleanly using revenue multiples, EBITDA, DCF, or book assets. But that does not mean value is zero. It means value must be built from evidence, risk, milestones, and probability.
Give cohorts a disciplined valuation range before grants, demo days, investor introductions, or seed discussions.
Explain valuation without pretending traction exists. Show what is real today, what is missing, and what a funding round can prove.
Separate confidence from hype by showing stage, evidence quality, risk discounts, milestone dependency, and funding-use logic.
The engine borrows from established early-stage valuation principles, then adapts them into a TransactionVeritas evidence model.
A round does not magically make a startup more valuable. It can increase value when it reduces the biggest risk factors and funds measurable milestones.
Current defensible range is based on founder quality, market pain, partial product proof, IP status, documentation hygiene, and funding-dependency risk.
Post-money value reflects new capital, but the projected next valuation depends on milestones such as MVP launch, pilots, revenue, IP cleanup, and data room readiness.
Founders receive a valuation bridge: today's evidence, risk discounts, funded milestones, and the conditions required to justify a higher next-round value.
A practical valuation pack that incubators, founders, and investors can discuss without relying on vanity numbers.
Defensible valuation range, confidence score, proof gaps, risk discounts, dilution view, recommended raise size, and milestone-backed projected uplift.
Compare cohort companies by valuation confidence, funding dependency, milestone quality, proof readiness, and investor discussion preparedness.
The Goal Achievement Engine sits beside valuation. It asks structured questions, automatically calculates weighted parameters, and shows which changes can increase valuation confidence, funding probability, and milestone-backed value.
Weights are generated by the engine from product type, stage, customer environment, capital dependency, founder capacity, and diligence evidence.
Founders see whether MVP readiness, pilots, runway, IP cleanup, or data-room quality will move valuation the most.
The system converts valuation gaps into a goal plan with actions, owners, timelines, and evidence requirements.
Defensible IP, commercial use cases, licensing readiness, replacement cost, and partner demand can increase valuation confidence where revenue is still early.
The first version will run as a guided UI and evidence model, then connect to Veritas Score, Capital Navigator, and Deal Room workflows.