
Over the past two years, a steady stream of institutions has put onchain products in front of real customers. Brokerages added crypto trading, fintechs and payments companies launched stablecoin rails, and asset managers stood up tokenized funds. Every one of those products depends on something most users never see: a trustworthy, queryable record of what is actually happening onchain.
That record is the new control layer, and increasingly it runs on Allium. Allium indexes more than 150 blockchains into thousands of enriched, queryable schemas: more than 30 petabytes of data, replicated globally, making Allium one of the largest data providers on Snowflake.
We led the Series A convinced this was the team that would become the trusted data layer for onchain finance, and they have: revenue is up 10x since that round, and Allium now serves more than 150 enterprise customers, including some of the world’s biggest fintechs running payments fraud detection.
BCG used it to break stablecoin activity into B2B, B2C, and C2C flows. Phantom and Uniswap rely on it daily. And when Federal Reserve Governor Lisa Cook’s team published on the tokenization of assets, the underlying data was Allium’s.
When Visa set out to show how stablecoins actually move, it built the Visa Onchain Analytics Dashboard on Allium. The hard part was separating genuine economic payments from contracts shuffling value between themselves, and Allium built the methodology to do it. Now, they can accurately tag transactions to defend their insights.
The largest institutions went from experimenting with onchain data to depending on it, and now, the data layer is becoming the control layer for onchain finance.
Prediction markets are the newest sector to take the world by storm, but measuring them is deceptively hard: raw onchain event streams double-count both sides of every trade, and standard block explorers cannot tell them apart. Allium built the data and the methodology that can, with schemas that index trades, open interest, positions, and participant behavior. Institutional trading firms are already ingesting it.
All of this runs on the Allium Terminal, which gives analysts every key metric and attribution layer down to who is transacting and where. It is Bloomberg for onchain finance, paired with an AI assistant that answers questions and cites its own data provenance. For production, Allium pipes the same data into customers’ own systems under SOC 1 and SOC 2 Type I and II, feeding the risk engines and accounting workflows that cannot go down and cannot be wrong. Institutions tend to move through three phases — understanding the market, operationalizing onchain workflows, then shipping onchain products of their own. Allium meets them at each one.
The next phase, payments initiated by agents, is already arriving. An agent transacting in stablecoins has to check a balance, a position, or a rate before it acts, and every one of those checks needs a source it can trust. When a single operator oversees ten thousand agents, something has to keep the dollars and cents reconciled. That is exactly the problem Allium exists to solve.
Congratulations to Ethan Chan, Cheng Han Lee, and the team on Allium’s $40 million Series B, led by our friends at Amplify Partners. We are proud to keep backing them as institutions, regulators, builders, and auditors increasingly run on the same source of truth.
Allium is hiring across every role: engineering, data, design, and go-to-market. If building the system of record for onchain finance sounds like your kind of problem, take a look: jobs.ashbyhq.com/allium