AI-native analytics and automation for high-ticket sales teams.
Talent
Actively InterviewingBoard Member / Advisor
Experience directly with sales analytics (heavy emphasis on intent-based data analytics). Will help with product direction and early GTM.
Capital
Closing SoonPre-seed Investors
$390K / $600K raised. $4M Post-money valuation cap SAFE.
Strategic
High PriorityCustom Use Case Partnership
Signalyze AI works with revenue teams to scope, build, and launch custom AI solutions that align with our vision. This helps us validate new features and helps clients attain better cost-efficiency on custom projects.
Signalize AI helps high-ticket sales reps build AI-native workflows that get smarter with every run. Our agents use 16T intent signals to make more accurate decisions and personalize outreach for every lead. Every outcome is tacked to autonomously improve the next run, creating a sales system that becomes more valuable the longer a team uses it.
High-ticket sales teams are racing to adopt AI, but complex deals need AI built on clean data and tailored workflows.
Most have neither: their data is messy, siloed, and incomplete, and they lack the technical resources to build those workflows themselves. So prospecting, research, prioritization, and messaging remain largely manual, leaving reps to spend only about 30% of their time actually selling.
Signalize AI turns non-technical, high-ticket sales reps into AI-native sellers. A rep sets a goal, and our agents build the workflow to find, research, prioritize, and engage the right buyers. Our data layer accesses 16T intent signals alongside LinkedIn, web, and enrichment data to power more accurate decisions and personalized outreach for every lead. Every outcome is tracked by our AI learning system (A.P.G.F.L.), which uses conversions to improve the workflow before the next run.
By combining better data with easier execution, Signalize AI aims to help reps spend twice as much time selling, convert more opportunities, and generate more revenue.
Our vision
Our vision is to make every high-ticket sales team AI-native. Sellers should focus on relationships and closing while AI handles the analysis and busywork behind each deal.
Pre-seed · Raising
Invested $390KCommitted $0
We are raising to continue funding product iteration and early GTM. Our goal is to prove a >5x ROI for early clients and have 40 paying customers (~20k MRR) before our Seed round in Q2 2026.
53% development, 24% GTM, 10% Data & processing, 5% sales tools, 5% accounting, 3% legal.
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Not provided yet: Cap Table
Early Paying Customers
2 Clients
1 API, 1 Platform User
Across 6 verticals
19 Testing Partners
Where this company is actively seeking leverage beyond capital.
Talent
Actively InterviewingBoard Member / Advisor
Experience directly with sales analytics (heavy emphasis on intent-based data analytics). Will help with product direction and early GTM.
Capital
Closing SoonPre-seed Investors
$390K / $600K raised. $4M Post-money valuation cap SAFE.
Strategic
High PriorityCustom Use Case Partnership
Signalyze AI works with revenue teams to scope, build, and launch custom AI solutions that align with our vision. This helps us validate new features and helps clients attain better cost-efficiency on custom projects.
What this company builds.
Agentic Procedural Generation Feedback Learning
Improves workflows over time autonomously
Source, score, and analyze customers with a data-driven approach
16T daily intent signals
AI cross-references sources to verify contact records
97% accurate records
Control workflows directly through chat
Total addressable market
$8.28B
U.S. high-ticket revenue operators across real estate, insurance, financial services, auto, non-profits, and sports.
Serviceable market
$553M
Sports orgs, RealTrends-ranked real estate teams, large insurance agencies, and $1B+ financial advisory firms.
Why now
AI-native businesses are growing across multiple verticals, creating mounting pressure from existing teams adapt and become AI-native themselves.
Trillions of daily behavioral and intent signals are now processable at scale with modern AI and data systems.
Messy CRM data has historically blocked AI adoption - as AI data-cleansing and enrichment capabilities improve, those barriers are removed.
Growth metrics and market validation.
2,250
Revenue
