Enter your strategy. Our multi-agent mesh will expose the fatal flaws before the market does.
Powered by the Skeptic Engine, Verdyx is the first strategy tool that doesn't want you to succeed until you're ready.
Verdyx runs your strategy through four adversarial AI models — and scores its chance of survival.
Four AI models — Visionary, Skeptic, Quant, and Realist — debate your business idea in real time, cite real SEC failures, and deliver a Go/No-Go Survival Score anchored in verifiable data.
Used by founders, VC analysts & institutional investors · No credit card required
The Adversarial Engine
Your strategy enters as a prompt. Four specialised AI models — each chosen to prevent groupthink — argue it to pieces. It exits as a verifiable, scored report.
Your strategy is split into four adversarial roles, each assigned a different AI model chosen for that specific cognitive task.
The Visionary
Claude 4.5 Sonnet · Narrative Synthesis
Recursive cross-examination. The Skeptic identifies fatal logical flaws and queries the SEC Comment Letter database for real regulatory precedent.
The Skeptic
GPT-o1-pro · Chain-of-Thought Logic
Negative Selection filters SEC EDGAR data for statistically matched failures — your stage, your vertical. Every cited risk links to a verifiable source.
The Quant
DeepSeek-R1 · Financial Reasoning
The Realist synthesises the War Room transcript into a final weighted Survival Score — penalised heavier when SEC evidence backs the Skeptic's case.
The Realist
Gemini 3.0 Pro · Synthesis & Orchestration
The Model Matrix
Each agent is assigned a different AI model chosen for its cognitive specialisation. Disagreement is architectural, not simulated.
| Agent | Model | Cognitive Role | Why This Model |
|---|---|---|---|
|
The Visionary
|
Claude 4.5 Sonnet | Narrative Synthesis | Best-in-class at connecting weak signals and finding adjacent "Go-If" pivots. Excels at creative expansion beyond the original brief. |
|
The Skeptic
|
OpenAI o1-pro | Deep Logic Decomposition | Chain-of-Thought reasoning identifies fatal logical flaws. Acts as a Regulatory Auditor, querying the SEC Comment Letter database for real-world precedent on similar business models. |
|
The Quant
|
DeepSeek-R1 | Quantitative Filtering | Specialised in financial reasoning and Negative Selection — algorithmically filtering SEC EDGAR data to surface only statistically relevant failures for your specific stage and vertical. Anchors debate in numbers, not opinion. |
|
The Realist
|
Gemini 3.0 Pro | Synthesis & Orchestration | Consolidates the War Room transcript into a final Survival Score. Applies a Consensus Protocol — if the Skeptic's argument is backed by a statistically significant SEC Comment Letter, the score is penalised more heavily. |
Ego-Protection Warning
Verdyx is designed to be offensive to your ideas. The agents will tell you what you don't want to hear — with citations. This is intentional. A strategy that survives our engine has a fighting chance against the real market.
Powered by
Anthropic · Claude 4.5 Sonnet OpenAI · o1-pro DeepSeek · R1 Google · Gemini 3.0 ProLive adversarial validation logs
A buy-now-pay-later platform embedded directly into SME invoicing software, enabling small businesses to offer flexible payment terms to their customers without holding credit risk.
Adversarial Debate Log
⚠ Skeptic
"Stripe and QuickBooks will replicate this in 18 months. Your moat is distribution, not technology — sign 3 anchor integrations before raising."
💡 Visionary
"Invoice-level data gives superior underwriting signal vs consumer credit. Risk-adjusted margin is 3× better than card networks at equivalent volume."
📊 Quant
"SEC Comment Letters on Kabbage and OnDeck confirm: SME default rates spike 3.2× above models at >$500K AUM. Your 1.5% underwriting assumption is insolvent past seed. SEC S-1 filings ↗"
Survival Score · The Realist
Verdyx Verdict
Thesis is viable but the underwriting model requires independent actuarial validation. Priority action: sign 2 SaaS distribution partners before raising a credit facility. Revisit in 60 days.
High
Credit Risk
$18B
TAM
18mo
Runway Risk
An AI agent that autonomously drafts, reviews, and negotiates commercial contracts — reducing in-house legal overhead by 70% for mid-market companies priced out of BigLaw retainers.
Adversarial Debate Log
⚠ Skeptic
"One hallucinated indemnity clause and you face a $50M malpractice exposure. Enterprise legal won't adopt without human-in-the-loop and a licensed attorney on your cap table."
💡 Visionary
"Your real moat is the negotiation memory layer — proprietary deal data no model can replicate. Lock in 20 design partners with full data rights before any public release."
📊 Quant
"Harvey raised at 40× ARR — an outlier. Median legal-AI Series A is 12× ARR with $2M+ ARR at raise. You have $0 ARR. SEC Comment on Ironclad's S-1 flagged identical liability concerns in 2023. SEC filings ↗"
Survival Score · The Realist
Verdyx Verdict
Strong product-market fit signal. Liability exposure is real but manageable with a narrow initial scope. Gate full autonomy behind attorney review. Data flywheel is the primary competitive moat — protect it contractually from day one.
Med
Legal Risk
$49B
TAM
Low
Churn Risk
A subscription app delivering personalised CBT-based mental health coaching via conversational AI — targeting the 77% of people who need support but cannot access or afford traditional therapy.
Adversarial Debate Log
⚠ Skeptic
"Your crisis escalation protocol is the existential risk. One safeguarding failure is a brand-ending event and a regulatory trigger. This must be solved architecturally, not with a Terms of Service disclaimer."
💡 Visionary
"The incumbents are all pre-LLM. A truly conversational, memory-persistent coach is a category discontinuity — not an iteration. First-mover window is 12–18 months before well-funded entrants arrive."
📊 Quant
"BetterHelp's FTC settlement (2023, $7.8M) and SEC Comment Letters on Calm's SPAC filing both flag consumer mental health churn at 68% annual. D2C CAC averages $94 vs $12 LTV at $19/mo. Unit economics fail at pre-seed. FTC filing ↗"
Survival Score · The Realist
Verdyx Verdict
Significant opportunity but safeguarding and clinical evidence gaps are not go-to-market blockers — they are existential ones. Entering Evolution Mode: pivot to enterprise EAP tooling for HR teams, where liability sits with the employer and clinical bar is lower.
Critical
Safety Risk
$25B
TAM
High
Reg. Risk
Simple, Transparent Pricing
Start free. Scale when the stakes get real.
Free
No credit card. No catch. Just truth.
Pro
Billed monthly. Cancel anytime.
Corporate
Billed monthly. Cancel anytime.
All plans include the 4-agent adversarial mesh, Go/No-Go Survival Score, and Verdyx's institutional failure database. · See FAQ for full feature details →
See how much unvalidated decisions cost compared to Verdyx. Drag the sliders to match your situation.
Based on hourly rate × quarterly hours × 4 quarters, compared to Verdyx Pro at $39/month ($468/year). Excludes cost of delayed decisions and undetected fatal flaws.
Annual Consultant Cost
vs. Verdyx Pro at $468/year
You Keep
Got Questions
Verdyx is an AI-native strategy validation platform. You submit a business strategy, pitch, or idea. Four specialised AI agents — The Visionary (Claude 4.5 Sonnet), The Skeptic (GPT-o1), The Quant (DeepSeek-R1), and The Realist (Gemini 3.0 Pro) — debate your idea in real time, surface hidden risks with verifiable SEC citations, and produce a Go/No-Go Survival Score with a downloadable strategic report.
It is a specialized AI framework where multiple agents simulate a "Red Team" environment. Unlike standard AI that follows instructions, an adversarial engine is programmed to generate internal conflict, forcing different models to challenge each other's logic to reach a more "battle-tested" conclusion.
The engine consists of: The Visionary (Claude 4.5 Sonnet) — connects weak signals and finds adjacent "Go-If" pivots; The Skeptic (GPT-o1-pro) — uses chain-of-thought to identify fatal logical flaws and queries the SEC Comment Letter database for real regulatory pushback; The Quant (DeepSeek-R1) — anchors every claim in financial benchmarks and SEC EDGAR data using algorithmic Negative Selection to filter out irrelevant failures; and The Realist (Gemini 3.0 Pro) — synthesises the War Room transcript into a final weighted Survival Score.
Standard tools are programmed to be helpful, which often leads to dangerous "yes-man" bias. The Skeptic Engine is designed to find terminal flaws now so you don't find them after spending capital. We want your idea to fail in our simulation so your business doesn't fail in the real world.
Standard AI assistants are optimised to be helpful — which makes them dangerously agreeable. Verdyx's agents are adversarially prompted to find failure modes, contradict each other, and expose the assumptions you haven't questioned. It's the difference between a yes-man and a board of directors.
A 0–10 rating produced by Verdyx's adversarial mesh after debate completion. It reflects the probability that your strategy can survive real-world competitive and financial pressures, calibrated against Verdyx's institutional database of past business failures and market benchmarks. Below 5.0 triggers Evolution Mode — agents pivot to find adjacent, more survivable ideas.
Absolutely. The Skeptic will surface every weak assumption a VC will challenge, the Quant will benchmark your financials against real SEC filings from comparable raises, and the Realist will score your deck's survival probability. It is the most rigorous pre-due diligence tool available outside of a law firm.
Verdyx serves three core users: solo founders who need a brutally honest co-founder surrogate, VC analysts who need rapid red-team audits of pitch decks, and institutional investors who need standardised early-stage risk assessment at scale via the ADD API.
Verdyx is currently in closed beta. Pricing will be announced at launch. Waitlist members get priority access and early-adopter rates. No credit card required to join. Note: Verdyx is deliberately designed to be offensive to your ideas. The engine will tell you things you don't want to hear. That's the point — better from us than from the market.
Single-model systems suffer from "Model Homogeneity" — when one AI debates itself, it tends to agree with itself. Verdyx prevents this by assigning each agent a different model optimised for its specific cognitive role: Claude 4.5 Sonnet excels at narrative synthesis, GPT-o1-pro at chain-of-thought logic decomposition, DeepSeek-R1 at quantitative financial reasoning, and Gemini 3.0 Pro at synthesis and orchestration. The result is genuine disagreement — not simulated conflict.
Every adversarial point raised by the Skeptic agent includes a hyperlink to a real-world source — either an SEC Comment Letter from EDGAR, an FTC enforcement action, or a documented startup failure from Verdyx's institutional database. The Quant agent uses Negative Selection to ensure citations are statistically matched to your specific stage (Seed vs Growth) and vertical — so you're never shown irrelevant noise. If the Skeptic can't find a verifiable source for a claim, it doesn't make the claim.
Early Access · Limited Spots
Join the waitlist and be first to access the 4-agent adversarial engine. No credit card, no spam — just early access and early-adopter pricing.