We’re not building a better SAST tool. We’re collapsing the entire security testing stack into one.
Spotter’s AI-powered Adaptive SAST platform deploys 9 specialized security agents that understand your codebase architecture, your authorization model, and your business logic. They find vulnerabilities at code time that previously required a human penetration tester to discover and they validate exploitability and generate fixes automatically.
60%+ of new code involves AI assistance. These tools can hallucinate APIs, miss authorization context, and copy insecure patterns. Legacy SAST tools don’t understand AI-generated code.
Microservices and multi-tenant SaaS create complex authorization and data isolation requirements. Traditional SAST tools weren’t designed for this.
Today’s attacks exploit business logic, authorization flaws, and tenant isolation failures not SQL injection and XSS. These require context to detect.
$20.7B across 820 deals in 2025 (+52% YoY). Google’s $32B Wiz acquisition confirms massive enterprise appetite for code-to-cloud security.
Two co-founders with complementary depth — one builds the engine, one takes it to market. Combined, they’ve shipped production systems across FinTech, HealthTech, and B2B SaaS.
Engineering Lead
George brings 7+ years of full-stack engineering experience across FinTech, HealthTech, and Logistics — industries where authorization failures carry direct financial and regulatory consequences. He co-founded Bytecompass, leading engineering across multiple production platforms, and has hands-on experience with the exact class of vulnerabilities Spotter detects.
His background working with new tech stacks and AI puts him at the intersection of the two forces driving Spotter’s urgency: AI-generated code and microservice-first architecture.
“We are not building a better SAST tool. We are collapsing the entire security testing stack into one.”
“When you show a CISO vulnerabilities their $100K stack missed, the conversation changes.”
GTM & Business Lead
Dilip brings proven GTM execution — he scaled FutrLogger from inception to replacing major competitors in solar monitoring. He has an active angel network that provides warm introductions into enterprise security buyers, and venture-building experience across SaaS, solar, and marketplace verticals.
His Favcy Venture Builders background means he understands what institutional investors need to see and how to structure a fundraise for maximum velocity.
$3M cap. Converts at Series A. Unlocks $500K+ in non-dilutive cloud credits from AWS, Google, and Microsoft.
Schedule a demo and see Spotter in action. We’ll scan your codebase and show you what your current tools are missing.
Schedule a Demo
Spotter