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SplxAI

A Zagreb-founded startup that automates red-teaming for AI agents, running simulated attacks to catch prompt injection before deployment.

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57/100Incremental Innovator

Overview

SplxAI, which emerged from stealth in March 2025 with a $7 million seed round led by LAUNCHub Ventures, builds automated red-teaming tools that defend AI agents against prompt injection and related attacks. Its platform runs simulated adversarial attacks against an organization’s AI agents and continuously monitors for new threats through log analysis, aiming to find weaknesses before attackers do rather than after an incident.

The company has disclosed named customers including KPMG, Infobip, Brand Engagement Network, and Glean, and reports 127% quarter-over-quarter growth since its platform launched in August 2024 — a company-reported figure that should be read as directional rather than audited. SplxAI also released Agentic Radar, an open-source tool that maps dependencies in agentic AI workflows and flags security gaps through static code analysis, which gives the broader security community visibility into its methodology beyond its commercial product.

What differentiates SplxAI is its focus specifically on agentic AI systems — where attack surfaces include tool calls and multi-step reasoning chains, not just a single prompt — rather than generic LLM guardrails. As a seed-stage company less than two years old, its momentum and efficacy evidence is still largely limited to self-reported growth and a small set of named enterprise logos.

Innovation Matrix Assessment

Innovation Velocity 6/10

Launched its platform in August 2024 and followed within months with a named seed round, an open-source tool release, and a dedicated GRC offering.

Operational Value 6/10

Gives security teams a way to continuously test agentic AI systems for prompt injection risk before and after deployment rather than relying on static guardrails alone.

Market Momentum 5/10

Named enterprise customers (KPMG, Infobip, Glean) are real adoption signals for a company this young, though the $7M seed round is modest and growth percentages are self-reported.

Category Disruption 5/10

Automated red-teaming for multi-step agentic workflows is a genuinely newer problem than single-prompt LLM security, but the approach itself builds on established red-teaming practice.

Real-World Efficacy 5/10

Named customer logos lend some credibility, but no independent benchmark or third-party test results were found to validate detection claims.

Enduring Relevance 7/10

As enterprises deploy more autonomous AI agents, continuous adversarial testing of agentic workflows will only become more necessary.

Why CISOs Should Care

Surfaces prompt-injection and agentic-workflow vulnerabilities before they're exploited in production, rather than relying solely on vendor-provided guardrails.

What Makes It Different

Targets the expanded attack surface of multi-step agentic AI workflows specifically, releasing open-source tooling (Agentic Radar) to make its methodology inspectable.

The Matrix Verdict

57/100 — INCREMENTAL INNOVATOR

An Incremental Innovator with a sensible, narrowly scoped product and credible early customers, still early enough that most evidence remains self-reported.

Editorial Note: Claims vs. Verified Findings

The 127% QoQ growth figure is self-reported by SplxAI; named customers and the seed round's investor list are corroborated across multiple independent outlets including SiliconANGLE and Help Net Security.

Sources