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 âWho are the largest Ethereum token holders over time?â 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 đŚ. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve.
Weâre hiring a Channel Manager to help build and scale Alliumâs partner ecosystem from the ground up.
This is not a âmanage the partner portalâ role. This is a 0â1 builder role for someone who understands how partnerships create revenue.
Youâll be responsible for developing and scaling strategic partnerships across cloud providers, marketplaces, ISVs, systems integrators, and emerging AI-native companies.
Weâre looking for someone who can operate with high autonomy â a self-directed operator who sees opportunities, builds the motion, and drives it forward without waiting for permission.
Build and scale Alliumâs partner ecosystem from 0â1
Develop sell-with and sell-through partnerships with ISVs, SIs, and platform companies
Build distribution channels across AWS, GCP, Snowflake, Databricks, and other marketplaces
Structure and negotiate partner agreements and commercial frameworks
Influence partner executives and internal leadership to drive joint strategy
Identify and build AI-native partner programs, including agent-driven ecosystems
Create scalable processes for partner-sourced and partner-influenced revenue
Work cross-functionally across product, GTM, and leadership to operationalize partnerships
Turn promising relationships into repeatable revenue channels
Passion for partner-driven business models
Experience building partnerships from zero to meaningful revenue
Experience working with cloud providers (AWS, GCP, Azure) and cloud marketplaces
Experience working with ISVs, systems integrators, and strategic alliances
Experience driving sell-with and sell-through partnership motions
Experience negotiating commercial partnership agreements
Experience working with AI companies or AI ecosystem partner programs
Ability to influence executive stakeholders both internally and externally
Startup mindset â comfortable operating with ambiguity and speed
You might be a great fit if you:
Are a builder, comfortable operating in a quickly evolving landscape where priorities shift at the speed of markets
Have 3-5 years experience in account management, sales, BD, or sales engineering and +2 years experience in B2B channel partnerships
See partnerships as products and revenue engines, not just relationships
Have a bias toward action and experimentation
Care deeply about data, infrastructure, and the systems that power modern applications
Get excited about the emerging AI, the agentic economy, and the global financial ecosystem

The Information's Top 50 Startups (https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-
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