Permissionless nature leads to fragmentation of meaning
Decentralization leads to too many standards
Immutability leads to exponential data + query infrastructure complexity
Neutrality means that no one is accountable for interpretations
Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL.
They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases. Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result:
Fragmented standards
Exponential complexity
No accountability for interpretation
Events without economic meaning
Finance cannot operate on that, it needs an effective system of record.
Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record:
Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income
Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema
Infrastructure Gap: Read optimized, globally distributed data at web scale
Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance
The result is a neutral, canonical data layer institutions can build on with confidence.
Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role.
As AI agents begin transacting autonomously, the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability.
Allium is the read layer that makes onchain finance usable for humans and machines.
Allium powers three core personas with the same canonical data foundation:
1. Finance, Accounting, and Risk TeamsThey need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators.
2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break.
3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain.
and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve.
We love engineers who love solving new problems every single day.
Data Egress - How does one transport 100s of TBs of data around the world without breaking the piggybank? (https://www.databricks.com/blog/announcing-public-preview-delta-sharing-cloudflare-r2-integration)
Handle high traffic - How can we support the biggest applications in this industry and allow handle 100,000 QPS at peak traffic and not go down? (https://www.allium.so/post/the-inside-story-of-the-jup-airdrop-at-phantom)
Botnets - This industry is in its early days, how does one catch botnets based on their behavioral patterns? (https://www.allium.so/post/initial-report-for-the-10-6k-botnet)
Fraud (Sybil) Detection - Is it possible to transfer the same fraud detection heuristics into this blockchain world? (https://www.allium.so/post/from-eligibility-to-sybil-detection-a-deep-dive-into-wormholes-multichain-airdrop)
Who is real? - What constitutes meaningful and organic transactions on the blockchain? (https://www.allium.so/post/visa-x-allium-making-sense-of-stablecoins)
Bring Your Own Transformation - How do we let our customers design their own APIs and transform their own realtime data streams? (https://docs.allium.so/allium-app/explorer-api/quickstart)
Data Governance - We pride ourselves on our data quality - How can we ensure our data is consistent across every copy and every region 24/7?
AI and LLMs - How does one design the LLM and AI experience on top of our data to lower the barrier of entry to crypto data? (https://docs.allium.so/allium-app/allium-explorer/allium-ai-assistant)
Data Transformation Holy grail:How can one unify streaming and batch transformation logic into a single code base?
If any of those bore you, we have many many more problems we have to solve!
You will make mistakes, costly mistakes, but at Allium's expense. We have an internal leaderboard of the costliest infrastructure mistakes made, and we (try to) learn from them. We don't have fancy Michelin-starred meal budgets, but we have a huge infrastructure budget for one to get better at your craft. Why? We leverage every tool (no prereqs) out there because we meet our enterprise customers where they are at:
Every OLAP: Snowflake, Databricks, Bigquery, Clickhouse*
Every OLTP: Postgres, Aurora
Every Event bus: Kafka, SNS, PubSub
Every Cloud Provider: AWS, GCP, Azure (one day)
A copy of data in every region: US East, Central, West, Europe, Asia
Every data transformation and orchestration tool: Apache Beam, Materialize, TinyBird, DBT, SQLMesh, Temporal
Data governance tools:
allium