Unicity Labs Raises $3 Million Seed Round to Build Infrastructure for Autonomous AI Commerce

Unicity Labs announced that it has raised $3 million in seed funding to develop infrastructure designed for an emerging class of autonomous AI agents capable of transacting directly with one another.

The February 18 round was led by Blockchange Ventures, with participation from Tawasal and Outlier Ventures.

Rather than launching an AI application or marketplace, Unicity is focused on building the underlying transaction layer that could support machine-to-machine commerce at scale.

Moving Beyond Shared Ledgers

The company’s core product, the Unicity Protocol, is designed to enable peer-to-peer transactions between AI agents without relying on traditional shared ledgers.

Most blockchain systems process and validate every transaction across a distributed network. That architecture provides transparency but introduces latency and scaling limits when transaction volumes spike. For human users, those constraints may be manageable. For autonomous AI agents—potentially operating in the millions—those bottlenecks become a structural limitation.

Unicity’s approach separates two core functions:

• Transaction execution between counterparties

• Validation of asset uniqueness by the network

Instead of broadcasting full transaction context to a shared ledger, the protocol cryptographically confirms that a digital asset is unique and valid. Settlement happens directly between parties, reducing overhead and removing the need for intermediaries.

The company argues that this architectural shift is necessary for an environment where agents continuously discover services, negotiate pricing, and settle payments without human oversight.

Infrastructure for Agent-to-Agent Markets

The funding comes at a time when “agentic AI” is evolving from experimental tooling into systems capable of autonomous decision-making. These agents can already search for services, compare offers, and execute tasks. The missing layer, according to Unicity, is scalable economic coordination.

Today’s infrastructure presents a trade-off:

• Centralized platforms offer speed but concentrate control.

• Traditional blockchains provide decentralization but struggle with throughput under high-frequency demand.

Unicity positions its protocol as a third path: cryptographic peer-to-peer settlement without the processing burden of global shared state.

If agent-driven commerce becomes widespread—such as digital assistants negotiating subscriptions, compute resources, logistics, or financial transactions in real time—the underlying infrastructure must support extremely high transaction velocity at low cost.

Experienced Team with Cryptography Roots

The Unicity team previously built and exited Guardtime, a cybersecurity infrastructure company focused on cryptographic integrity systems. The current group includes researchers with backgrounds in distributed systems, cryptography, and machine learning.

In parallel with the funding round, the company established the Unicity Foundation in Switzerland to oversee governance, grants, and open-source protocol development—an approach common among decentralized infrastructure projects.

Strategic Investors and Market Positioning

Blockchange Ventures led the round, reinforcing its focus on early-stage blockchain infrastructure. Tawasal, a Middle East-based communications super app serving over five million users, joined as a strategic investor. Outlier Ventures, a long-standing Web3 investor, also participated.

While early-stage, the thesis behind Unicity reflects a broader shift: if AI agents become autonomous economic actors, the transaction layer must evolve accordingly. Rather than building applications on top of existing blockchains, Unicity is attempting to redesign the settlement layer itself.

Whether peer-to-peer cryptographic objects can replace shared ledgers at scale remains to be tested. But the seed round signals investor belief that the next phase of AI development may require a new class of economic infrastructure built specifically for machines—not humans.