Test your ads & pages against your virtual buyers to catch revenue leaks before they cost you real budget.
Mapping deal physics for 1,200+ buying committees
Ingesting Ground Truth From Your Stack
When you test with live traffic, every mistake costs you real budget.
Don't burn cash just to find failures that were predictable.
Analytics miss the offline CFO who kills deals silently.
Live testing forces Marketing to move 10x slower.
You are forced to choose between Fast & Biased vs. Accurate & Expensive
Simulate your entire campaign funnel in minutes to catch and fix frictions before you spend a single dollar.
From Draft to Decision in 30 Minutes
Reverse-engineer your buyer from Gong transcripts and CRM footprints.
Model adversarial committee conflict to find exactly where deals die.
Generate a dev-ready playbook to resolve frictions before market launch.
Scans job descriptions to build a buyer Red Team. Simulates engagement to rank the top 5 converting titles for your campaign.
Simulates your Ad Promise against buyers. Pinpoints exactly which roles bounce and why.
Visualizes Deal Physics. Identifies specific friction points blocking key stakeholders from moving forward.
"Docs were discoverable. Validated integration in <3 mins."
"Trust Center matched audit workflow. No red flags found."
"Clicked out for Pricing. Cost cues were thin."
Runs 500 matched simulations. Adjusts committee weights to reveal how winners flip.
Simulates Win Probability against competitors across diverse committee mixes.
We don't imagine your buyer. We reverse-engineer them from your actual data footprint.
Crawls your public docs and technical guides to map structural constraints like "Sales-Led" or "Self-Hosted Only".
Scrapes community sentiment and competitor gaps to ground agents in real-world B2B buying pressure.
Ingests redacted transcripts to extract the exact technical and financial rejection reasons your team hears daily.
Injects your institutional knowledge. Your specific ad promise becomes the agent's primary active search goal.
General purpose models are built for writing, not for adversarial behavioral analysis.
It confirms "Yes, the ROI calculator exists." It doesn't scroll, search, or get frustrated when it's buried under 3 layers of navigation.
"Act like a CFO" produces plausible text. It doesn't model the friction between a Tech Lead's excitement and a CFO's financial skepticism.
It knows what a "generic CFO" says. It doesn't know what the CFO who rejected your last 5 deals says or why they were skeptical.
Agents scroll, scan navigation, and click. If your proof is buried, they fail to find it and bounce. We test findability, not just presence.
We simulate how technical doubt triggers financial vetoes. We find exactly where deals die between different stakeholders.
Agents are trained on your Gong transcripts and CRM rejection codes. They know your market reality, not just the generic internet.
Don't wait for the post-mortem. Identify and fix your revenue leaks before you spend $50k on a broken campaign.