EnforceShield Raises €1.7M to Scale Autonomous AI IP Enforcement

Online brand abuse is becoming cheaper to produce and harder to manage at scale. EnforceShield, a Vilnius-founded legaltech company, has raised €1.7 million in seed funding to expand a SaaS platform intended to do more than flag suspected infringements: it is built to execute much of the enforcement workflow itself. Vendep Capital led the round, with FIRSTPICK VC participating. 1416

The company says the new capital will strengthen its technical and product teams, extend AI automation to tougher enforcement paths, and support commercial expansion in the United States. 312

From infringement detection to enforcement

Founded in 2024 by attorney Rytis Rudzinskas, EnforceShield focuses on online IP violations affecting brands and rights holders. Its platform is designed to identify and address counterfeits, unauthorised sellers, fake listings, cloned storefronts, impersonation sites and phishing pages. 14

The distinction is important: many tools surface potential issues for an internal legal or brand-protection team to investigate. EnforceShield describes its product as an autonomous enforcement layer that works through the broader process:

1. Detecting suspected violations across platforms
2. Applying legal, platform-specific and jurisdiction-specific rules
3. Validating cases and performing legal analysis
4. Submitting takedown requests
5. Monitoring outcomes
6. Escalating unresolved or more difficult matters 16

That approach is meant to move enforcement beyond a manual queue of alerts and tickets. Rather than treating discovery as the end product, the platform aims to turn detection into action.

How the “human-at-the-end” model works

EnforceShield uses what it calls a “human-at-the-end” model. According to the company’s description, AI agents can process routine, sufficiently clear cases end to end. Attorneys and analysts step in for required approvals, flagged exceptions and complex escalations. 1416

The model is not a claim that legal judgment has been removed from the process. Instead, it places human review at points where a case is ambiguous, consequential or outside the standard workflow. This is intended to let the company handle higher enforcement volumes without making every suspected violation dependent on a lawyer’s initial manual review. 16

Why generative AI changes the brand-protection workload

The funding arrives as generative AI makes it easier to create and scale online brand abuse, including convincing fake product listings, cloned shops and impersonation campaigns. EnforceShield’s argument is that this rising volume creates a mismatch with conventional enforcement operations, which generally increase capacity by adding legal and analyst staff. 316

For brands, detection alone can leave the most time-consuming steps unfinished: assessing the issue, applying the relevant platform rules, submitting a notice, tracking the response and escalating when an initial removal does not resolve the problem. EnforceShield is positioning its product around automating those downstream tasks as well. 16

Early traction reported by the company

EnforceShield says it has more than 20 enterprise customers, primarily among e-commerce and direct-to-consumer brands and multi-brand portfolios. It also reports removing more than 33,500 IP violations per month on average. These are company-reported performance figures in the available coverage. 1016

The figures illustrate the operational use case the startup is pursuing: a large number of repeatable enforcement actions, spread across online channels, where rapid handling matters as much as identifying a violation.

What the €1.7 million is intended to fund

EnforceShield has announced the seed round, but the funding is intended for future scaling rather than representing work already completed. The company’s stated priorities are:

• Product and engineering capacity: Strengthening the technical and product teams behind the autonomous platform. 312
• Complex enforcement workflows: Extending automation beyond standard takedowns to repeat-offender cases, escalations and other more complicated processes. 1216
• US commercial growth: Expanding in the United States, which the company says accounts for up to 80% of its sales pipeline. 1316
• Broader lifecycle coverage: Automating more of the IP-enforcement lifecycle, from initial discovery through resolution and escalation. 16

The central bet is that enterprise IP protection can be operated more like continuous software infrastructure than a linear legal-services workflow. Whether that model can reliably handle a growing share of complex cases will be the key test as EnforceShield uses its seed capital to build out the platform and US presence.