London venture builder launching AI and web3 companies on shared infrastructure
Improbable builds and backs AI and web3 ventures from London, running a Solidity, Foundry and The Graph stack on EVM alongside TypeScript, Next.js and Go across GCP, AWS and Azure. Hiring is accelerating and skews toward marketing and design, led by a Head of Marketing search, which points to a portfolio moving from build into launch mode. Job posts reference a prediction protocol, a decentralised exchange and AI agent reliability work.
Notable leadership hires: Head of Marketing
Improbable is a privately held venture builder headquartered in London with 51–200 employees. It creates companies around emerging technology, pairing capital with operational support, shared technical infrastructure and leadership, while ventures keep their IP and control. Its history spans gaming, virtual worlds and defence. Current focus sits where AI meets web3, including on-chain products built on Ethereum-compatible infrastructure. Back-office tooling includes NetSuite, Spendesk and Expensify, with analytics in Tableau, Power BI and Looker.
Improbable uses Solidity, Foundry, The Graph, Web3.js and EVM for on-chain work, plus TypeScript, React, Next.js, Go and Python, hosted across GCP, AWS and Azure.
Yes, hiring is accelerating, concentrated in the United Kingdom and weighted toward marketing and design, with senior-level roles and a Head of Marketing search.
Job posts point to go-to-market for major launches, a significant product redesign, a new design system, interaction patterns for AI agents, and community leaderboards with yield-based rebates.
Other companies in the same industry, closest in size
Improbable's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.