Blue Language Labs Aims to Power the Future of AI-Driven Business

AMSTERDAM – June 01, 2026 – A new company, Blue Language Labs, has emerged from stealth today with an ambitious goal: to build the foundational plumbing for an economy run by artificial intelligence agents. The Amsterdam-based firm introduced what it calls a “coordination layer” for AI, designed to move agents beyond answering questions and performing simple tasks to executing complex, revenue-generating business processes across multiple organizations.

At the heart of the launch is MyOS, an AI-native workspace, and BLUE, the open-source protocol it is built upon. Together, they aim to provide a standardized way for businesses to deploy agents that can assemble offers, find partners, manage approvals, and run multi-party workflows from agreement to financial settlement. The company also announced that veteran AI and enterprise software entrepreneur Zor Gorelov has joined as CEO, bringing a wealth of experience from the financial technology sector.

Beyond Simple Automation: A New Infrastructure for Business

The current AI landscape is filled with tools that automate internal tasks or provide intelligent assistance within a single company. Blue Language Labs argues that the next frontier isn’t just making agents that can act or pay, but enabling them to create and coordinate verifiable business deals between multiple parties. The company’s “coordination layer” is designed to solve this challenge.

This layer is distinct from existing Business Process Management (BPM) software, which typically focuses on internal workflows, or AI development frameworks like LangChain, which provide tools to build agents but not the explicit infrastructure to govern their interactions across company lines. Blue Language Labs aims to prevent “integration chaos” by creating a common language that agents can use to negotiate, agree upon, and execute complex jobs.

“The next phase of AI is not agents that answer questions or trigger isolated actions. It is agents that help businesses create revenue,” said Piotr Martyniak, Founder of Blue Language Labs. “But that only works if every participant can verify what was agreed, who approved it, what conditions apply, and when payment or settlement should happen.”

In practice, this could mean a restaurant's agent structuring a recurring lunch offer with a nearby office, automatically factoring in kitchen capacity, delivery windows, and payment terms. Or it could involve a procurement agent for a large manufacturer coordinating a supplier, a logistics provider, an inspector, and a bank to ensure payment is released only after goods are delivered and verified. These agent-driven processes require a shared, verifiable framework that current fragmented systems of emails, APIs, and contracts lack.

A Veteran CEO and an Open-Source Strategy

To steer this vision, the company has appointed Zor Gorelov as CEO. Gorelov’s background is deeply rooted in applying AI to regulated and complex enterprise environments. He was the founder and CEO of Kasisto, a leading provider of generative AI-powered digital assistants for the banking industry. Before that, he founded SpeechCycle, a cloud contact center optimization company acquired by Synchronoss Technologies. His experience building AI solutions for financial institutions provides critical insight into the challenges of security, compliance, and trust that Blue Language Labs must overcome.

“In the agentic economy, trusted AI agents will become the great force multiplier for small businesses,” said Gorelov. “We are building the infrastructure that allows agents to be deployed safely, verifiably, and at scale across real business processes.”

Central to this strategy is the decision to open-source the BLUE protocol. By making the foundational language for agent coordination freely available, the company hopes to drive widespread adoption and establish it as an industry standard. This “open core” model is a well-established strategy for building a robust developer community while creating a commercial path. While developers can freely build on the BLUE protocol, Blue Language Labs will offer its flagship MyOS platform as a managed, enterprise-grade workspace that simplifies the deployment and management of these complex agent systems.

Leveling the Field for Small and Medium Enterprises

A key theme of the company’s mission is the democratization of advanced business capabilities. While large corporations have the resources to build custom, large-scale integration systems, small and medium-sized enterprises (SMEs) are often left behind, unable to engage in complex digital partnerships with the same efficiency. Gorelov emphasizes that the opportunity is not merely to automate tasks but to “level the playing field.”

By providing an accessible platform like MyOS, Blue Language Labs aims to give millions of smaller businesses the ability to coordinate and transact with the speed and scale previously reserved for corporate giants. An independent artisan, for example, could use an agent to partner with a boutique hotel and a local tour guide to create a weekend travel package. The agent could coordinate pricing, confirm availability across all three parties, generate booking codes, and automate the revenue split upon settlement, all through a verifiable, standardized process. This empowers smaller players to form dynamic, ad-hoc commercial relationships that would otherwise be too complex and costly to manage.

Building Trust in an Agent-Driven Financial World

Perhaps the most significant hurdle for an agent-driven economy is trust, especially in highly regulated sectors like finance. The idea of autonomous agents making financial commitments raises immediate concerns about authorization, security, and compliance. Blue Language Labs is tackling this issue head-on by building verifiability and control into its core architecture.

The platform is designed to transform agent actions into enforceable business processes by connecting authorization, identity, policy, and compliance into a single, auditable workflow. It ensures that money moves only when pre-agreed conditions—such as proof of delivery or service confirmation—are met. This addresses a major barrier to enterprise AI adoption: the “governance vacuum” and lack of transparency that makes leaders hesitant to cede control to AI systems.

Crucially, the system is designed to integrate with existing financial and legal systems rather than attempting to replace them. By settling transactions on established payment rails, the company reduces the friction for adoption by banks and financial institutions that are traditionally risk-averse. As Blue Language Labs prepares to preview its platform at Money20/20 Europe, its success will depend on its ability to convince the business world that it has built not just a powerful tool for automation, but a trustworthy foundation for the future of commerce.