Vstorm joins Google's Trusted Tester Program

On May 6, 2026, Vstorm signed a Trusted Tester Agreement with Google LLC. The agreement grants access to pre-release AI products and establishes a direct feedback relationship with Google's product development team. Vstorm Google collaboration of this kind is not a headline about a logo on a website. It is a working arrangement: our engineers evaluate tools before they reach the market and contribute structured observations that feed directly into Google's development process. This article explains what that means in practice.

What the programme involves #

Google's Trusted Tester Program is an invitation-only scheme through which Google shares pre-release APIs and products with a selected group of external organisations. Participants gain access to capabilities not yet available in production environments. In return, they provide feedback: observations on real-world applicability, engineering edge cases, and product behaviour under conditions Google's internal teams cannot fully replicate in isolation.

For Vstorm, participation means contributing directly to Google's product development team. Our engineers evaluate pre-release capabilities against the same criteria we apply to every production engagement: does it hold up in a live integration? Does it behave consistently across complex, cross-departmental workflows? Can it be observed and debugged when something goes wrong? The feedback we return is grounded in 30+ production agentic deployments, not theoretical assessment.

The agreement was signed by Antoni Kozelski, CEO and Founder of Vstorm, and covers participation across active testing cycles for the duration of the programme.

Why this matters for Vstorm clients #

Most organisations encounter new AI capabilities at the point of general release — when the product is already shaped, the documentation is fixed, and the use cases are defined by the vendor. Vstorm's clients receive something different: early visibility into some of Google's most advanced, pre-release AI tools, alongside insight from engineers who have already worked with these tools under pre-release conditions and can assess what they are genuinely suited for.

Early adoption matters in applied agentic AI engineering because the organisations that understand a new capability first — its strengths, its constraints, and the integration patterns that actually work — build systems that outperform those assembled reactively after general release. Vstorm clients are not waiting for these capabilities to become publicly available before starting work. They are working with an engineering team that has already formed a considered view of where the technology fits and where it does not, which translates directly into a competitive advantage when designing their own agentic systems.

When a client asks whether a particular AI capability fits their workflow, we are answering from structured evaluation experience, not from a product demo or a press release.

“We take part in programmes like this because our clients are building production systems, and the gap between a demo and a working agentic workflow is where most projects fail. Early visibility into pre-release tools lets us tell clients, with evidence, what's ready to build on and what still needs time. That's the value. Fewer wrong bets, not bragging rights.” Antoni Kozelski, CEO and Founder, Vstorm

Vstorm's participation in context #

Trusted Tester participation is consistent with how Vstorm has positioned itself since founding: as a firm that contributes to the tools the industry runs on, not one that waits for those tools to stabilise before engaging.

Vstorm is a founding member of the Agentic AI Foundation alongside OpenAI, Anthropic, Google, Amazon, and Microsoft, participating in joint working groups that shape emerging standards for agentic systems. We hold an exclusive partnership and ambassadorship with Pydantic , the leading end-to-end agentic AI technology stack, and are a core contributor to it, and we publish open-source tooling built from challenges encountered in live client engagements. You can review those contributions at vstorm.co/agentic-ai-open-source-initiatives .

The pattern is consistent: Vstorm engages where the technology is being built. Contributing feedback to Google's product development team extends that same commitment — giving our clients early visibility into some of Google's most advanced AI capabilities ahead of general release, and ensuring that the feedback shaping those capabilities comes from engineers with production deployment experience.

The AI product testing programme with Google is the latest expression of that approach. Further details about Vstorm's engineering methodology are available at vstorm.co/tristorm .