Platform Capabilities
The world's most comprehensive startup valuation engine
Irrefragable AI combines five independent valuation methodologies with deep intelligence across data, technology assessment, global markets, and trust — delivering defensible, investment-grade valuations for any startup, anywhere.
Try the valuation engine now
Enter a few basics and get a live preliminary range — powered by the same five-method engine used in full reports.
This is a preliminary estimate only. A full report uses additional data points for higher confidence.
Estimated Mid-Point
Seed Stage$1.6M
Range: $675K – $2.4M
Valuation Range
Confidence
36/100
Risk Score
8/10
Industry Benchmarks
How does your startup compare?
See where your SaaS startup sits against sector benchmarks for revenue multiples and growth rates.
Revenue Multiple by Sector
SaaS: 12xExit revenue multiple applied by VC investors at Series A+
MoM Growth Rate Positioning
Month-over-month growth benchmarked against SaaS sector peers
Your growth: Struggling
Enter your MoM growth rate above to see how you compare.
SaaS Sector Benchmark Snapshot
Revenue Multiple
Benchmark
12x
Yours
12x
Median MoM Growth
Benchmark
15%
Typical Runway
Benchmark
18 mo
Median Team Size
Benchmark
10 people
Data & Intelligence
Solving the core comparable-data deficit through novel aggregation, synthetic data, and community-sourced intelligence.
SOL — 01
Global Private Deal Database
Aggregate anonymised term sheets, cap table structures, and valuation data from angel syndicates, accelerators, and VC pre-seed rounds into a proprietary, continuously updated comparable dataset.
SOL — 02
Synthetic Comparable Generation via LLM
Where real comparables are absent — as in frontier biotech or climate tech — use large language models fine-tuned on disclosed term structures to generate statistically plausible synthetic deal benchmarks with confidence intervals.
SOL — 03
Crowd-Sourced Valuation Intelligence Network
Contributor model where verified angel investors submit post-investment valuation data in exchange for platform credits and access — creating a flywheel of improving comparable quality over time.
SOL — 04
Academic & Patent Literature Mining
Ingest and analyse patent filings (USPTO, EPO, WIPO), academic publications (arXiv, PubMed, Scopus), and technology transfer office databases to establish the commercial precedent value of a company's scientific IP.
Valuation Engine
Designing the computational core that converts multi-dimensional inputs into a defensible, risk-adjusted valuation range.
SOL — 05
Adaptive Multi-Framework Valuation Engine
A rules engine that selects and blends the most appropriate valuation methodology — Berkus, Scorecard, Risk Factor Summation, First Chicago, or a custom TRL-weighted model — based on the company's stage, sector, and data availability.
SOL — 06
Monte Carlo Risk-Adjusted Range Simulation
Run probabilistic Monte Carlo simulations across key value drivers (market size, adoption curve, competitive risk, regulatory timeline) to produce a statistically robust low/base/high valuation range with scenario visualisation.
SOL — 07
Milestone-Gated Dynamic Revaluation
Rather than a single point-in-time valuation, model the company's value as a living score that updates automatically as it hits predefined milestones — patent grant, first clinical trial, regulatory submission, first commercial contract.
SOL — 08
Comparable Transaction Matching Algorithm
A vector-similarity search across the deal database to surface the 5–10 most analogous funded companies globally — matched on technology category, team composition, geography, TRL, and market size — presented as evidence-based comps with delta commentary.
Technology Assessment
Translating technology readiness, IP quality, and scientific merit into quantified value signals that angels can act on without domain expertise.
SOL — 09
AI-Powered TRL Classification Engine
An NLP-powered classifier that reads the company's technical documentation, pitch deck, and patent filings to automatically assign a Technology Readiness Level (TRL 1–9) with supporting evidence, removing dependence on domain-expert advisors.
SOL — 10
IP Quality Scoring Module
A structured scoring model that evaluates patent quality across dimensions — claim breadth, jurisdictional coverage, citation depth, prosecution history, and freedom-to-operate risk — to produce a single IP Quality Score (IQS).
SOL — 11
Expert-in-the-Loop Domain Review Marketplace
A curated marketplace of verified domain experts (quantum physicists, biotech scientists, climate engineers) who perform rapid 48-hour technical reviews of the AI's assessments — providing a human validation layer for high-stakes deals.
SOL — 12
Team Signal Scoring via Professional Graph Analysis
Automatically analyse founder and team profiles — cross-referencing academic credentials, prior exits, publication records, domain tenure, and network centrality — to generate an objective Team Signal Score that adjusts the base valuation multiplicatively.
Global & Geographic
Eliminating the 'location discount' by calibrating valuations to local market conditions, regulatory environments, and economic contexts worldwide.
SOL — 13
Country Risk & Market Maturity Index
A continuously updated index scoring 150+ countries across regulatory quality, IP enforcement strength, capital market access, political stability, and startup ecosystem maturity — applied as a location-specific risk modifier to every valuation.
SOL — 14
Purchasing Power Parity (PPP) Valuation Normalisation
Apply PPP-adjusted market sizing and cost-of-operation normalisation so that a startup in Lagos, Bangalore, or Warsaw is valued on its true economic potential relative to its operating context — not discounted simply for being outside a G7 hub.
SOL — 15
Regulatory Pathway Timeline Modelling
For regulated sectors (pharma, medtech, energy, fintech), model the jurisdiction-specific regulatory approval pathway — estimating time-to-market, approval probability, and capital requirements — and incorporate these timelines as discounting factors.
SOL — 16
Regional Angel Network Integration API
Open API integrations with regional angel networks (EBAN, AAAI, GBAN, LAVCA, ABAN) enabling local deal flow, co-investment intelligence, and region-specific benchmark data to flow bidirectionally into the platform's data layer.
Trust & Output
Ensuring the platform's outputs are trusted, auditable, and usable by every stakeholder — from solo angels to investment committee chairs.
SOL — 17
Explainable AI Valuation Report Generator
Every valuation output includes a plain-language narrative report — auto-generated by LLM — that explains each scoring dimension, its evidence basis, and how it contributed to the final range. Designed to pass investment committee scrutiny without domain expertise.
SOL — 18
Founder Valuation Passport
A portable, verifiable digital credential issued to founders upon platform assessment — summarising their company's TRL, IP score, team signal, and valuation range — that can be shared with any investor globally as a standardised, third-party-validated due diligence artefact.
SOL — 19
Valuation Audit Trail & Version Control
Every valuation is versioned, timestamped, and immutably logged — creating a complete audit trail from input data submission through methodology selection to final output. Essential for family office LP reporting, regulatory compliance, and post-investment dispute resolution.
SOL — 20
Investor Calibration & Bias Correction Tool
An investor-facing self-assessment module that surfaces and corrects for known biases — geographic anchoring, team demographic bias, recency bias, and home-market bias — by benchmarking the investor's historical valuations against platform outputs and peer investor averages.