Everything You Need
to Know About Arnen

Arnen is an AI-powered GTM discovery platform for B2B startups creating new categories. We help founders who are building genuinely novel products discover their pricing, positioning, sales narratives, and buyer personas using analogical intelligence and data from 10,000+ funded companies.

Unlike execution tools (Clay, Apollo, Outreach) that assume you already know your ICP and messaging, Arnen helps you discover those answers when no playbook exists. We are the discovery layer that comes before your execution stack.

Seed through Series B with unproven GTM. Typically targeting $50K+ ACV enterprise deals where category definition and pricing discovery are critical.

Before 50 deals, Arnen is your core engine for finding initial product-market fit. After 50 deals, your execution tools handle your primary pipeline, while Arnen continues running in the background — discovering adjacent buyer segments, testing new pricing tiers, onboarding new sales hires, and updating your objection forecasting as your market evolves. Your usage shifts from primary discovery to continuous market sensing.

Consultants bring frameworks and experience. Arnen brings data. We pattern-match across our proprietary market dataset — funding patterns, analyst taxonomies, and analogous company signals — simultaneously analyzing thousands of vectors that a consultant would take months to research manually. No human, however experienced, can hold 10,000 company trajectories in their head at once.

Most customers use both — Arnen for speed and data-backed discovery, consultants for nuance and relationship-driven advice. Arnen gives your consultant a 4-week head start with hypotheses they can immediately pressure-test.

The Waterfall is Arnen's core methodology for finding pricing and positioning signals when no direct competitors exist. It searches five layers of analogous companies: Layer 1 checks for rare direct analogs. Layer 2 looks at adjacent markets. Layer 3 finds companies selling to your exact buyer persona. Layer 4 matches on ROI mechanics. Layer 5 uses cost-avoidance economics as a fallback.

Each layer produces pricing signals that, when combined, give you a defensible range with a confidence score — not a guess. The deeper the layer, the more abstract the analogy, which is why we include sensitivity scoring so you know where the analysis is strongest.

Every analysis includes sensitivity scoring. We tell you which inputs most affect your output — and where the analogies are weakest. Layer 5 (Economic Equivalent) provides a fallback when structural analogies do not hold.

You will know the confidence level before you act on any hypothesis. If confidence is below our threshold, we flag it explicitly rather than presenting weak signals as strong conclusions. This is what we call Limitation Disclosure — we would rather tell you what we do not know than pretend we know everything.

Every recommendation comes with a confidence score and sensitivity flags so you know exactly how much weight to put behind it. If an analogy is weak or the data is thin, we tell you — that is our Limitation Disclosure philosophy. We would rather flag uncertainty than let you act on a false signal.

More importantly, Arnen learns. When you feed back real deal outcomes (won, lost, objection encountered), the Bayesian model updates its predictions. Early recommendations are hypotheses to test, not directives to follow. The system gets meaningfully more accurate with every deal cycle, which is why discovery is continuous, not one-shot.

Arnen offers four tiers: Starter at $99/month (500 credits — enough for two full discovery waterfalls, best for pre-seed), Growth at $499/month (2,500 credits, best for Seed to Series A), Scale at $1,499/month (10,000 credits, best for multi-product), and Enterprise with custom pricing for dedicated SLA.

All plans include access to the core discovery engines — Narrative Generator, Pricing Model, Objection Forecaster, and GTM Playbooks. Growth tier and above include API access for CRM integration.

No. Your data is isolated. We do not use customer inputs to train shared models. Anonymized deal outcomes (win/loss, not details) update Bayesian priors with your explicit consent only.

SOC2 Type I certified. Data isolation is contractual, not just policy. Your competitive intelligence stays yours.

All data is stored on infrastructure within EU and US jurisdictions. We use AES-256-GCM encryption at rest and TLS 1.3 in transit. Encryption keys are versioned and rotatable.

We do not share your data with third parties. Our AI models (Claude, Gemini) process your data but do not retain it — all LLM calls use ephemeral sessions with no training data retention.

Yes. Narratives, objection maps, and playbooks export to standard formats (Markdown, PDF, Notion). API access is available on Growth tier and above for CRM integration.

Arnen is designed as the discovery layer that feeds your execution stack. ICP definitions export to Clay for lead enrichment. Persona data exports to Apollo for prospecting. Objection insights feed Outreach and Salesloft for sequence personalization. Salesforce and HubSpot native integrations are on the roadmap.

The Call Simulator lets you practice against 5 AI buyers who push back like real ones. Each simulated buyer persona is calibrated to a different objection profile: the skeptical technical buyer, the budget-conscious CFO, the risk-averse compliance officer, and more.

Teams that practice with simulated objections report significantly higher close rates. The objections do not go away — you just stop being caught off guard by them.