SplxAI, a Croatian-founded company specializing in cybersecurity for AI chatbots, has announced a $7 million seed funding round. LAUNCHub Ventures led the round, with participation from Rain Capital, Inovo, Runtime Ventures, DNV Ventures and South Central Ventures.
About SplxAI
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Founded in 2023 by Croatians Kristian Kamber and Ante Gojsalić, SplxAI is a US-based platform specializing in offensive AI security. It continuously adapts to protect sophisticated multi-agent enterprise systems across text, image, and voice modalities.
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SplxAI simulates adversarial attack scenarios, detecting and mitigating threats like prompt injections, off-topic responses, and hallucinations.
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Built on a comprehensive attack database, updated through proprietary research, the platform empowers businesses to secure AI deployments and minimize risks proactively.
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One of SplxAI’s products is Agentic Radar, an open-source tool that maps dependencies in agentic workflows, identifies components, and detects security gaps through static code analysis.
“Deploying AI agents at scale introduces significant complexity, creating potential vulnerabilities that only in-depth, continuous testing can uncover,” said Kristian Kamber, CEO & Co-founder, SplxAI.
Investment details
The round was led by LAUNCHub Ventures with participation from Rain Capital, Inovo, Runtime Ventures, DNV Ventures and South Central Ventures.
LAUNCHub General Partner Stan Sirakov is also joining the SplxAI Board of Directors and former Brand Engagement Network CISO Sandy Dunn is joining the company as Chief Information Security Officer.
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LAUNCHub Ventures is an early-stage venture capital fund investing in startups across SEE and CEE. The company has supported exceptional teams in building the next generation of game-changing companies.
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Their focus spans AI/ML, SaaS, fintech, proptech, and robotics. The fund's portfolio includes Ampeco, GlycanAge, UVIONIX, Colossyan and Giraffe360.
The funding will accelerate the development and adoption of the SplxAI Platform, enabling organizations to secure their internal AI agents and customer-facing AI applications through automated security testing, dynamic remediation and continuous monitoring of AI systems.
