A product-focused team, 2½ years in, building the most integrated onboarding and due-diligence platform in the market. No vanity integrations, no paid-for logos — every quarter we go deeper, not wider.
Every year, the United Nations estimates over $2 trillion of illicit money — proceeds from fraud, human trafficking, tax evasion, sanctions-evasion and corruption — flows through the global financial system. The leaked FinCEN files alone documented more than $2 trillion in suspicious transactions that the largest banks in the world flagged and processed anyway.
Financial institutions spend over $25 billion per year on humans doing onboarding and due diligence by hand — re-typing, re-checking, re-validating for the next regulator. And it still isn't enough. Criminals slip through. Victims pay for it. Regulators fine. The cycle repeats.
Meanwhile the largest dedicated RegTech platform tops out at roughly $300M ARR — less than 1.5% of the problem captured by the single biggest winner. This isn't a crowded market because someone solved it. It's a crowded market because nobody has. Every fraudulent account opened, every laundered million, every investor that falls through the cracks — that's the reason we build.
We spent a lot of time studying why a problem this large, this valuable and this obvious is still open. The answer is uncomfortably simple: there are only two shapes of solution out there today. Both have a ceiling.
Pick one slice of the problem — sanctions screening, document OCR, UBO mapping, PEP lookup — and ship a great micro-tool for it. The buyer ends up stitching eight of these together, each with its own contract, its own roadmap, its own data model, and its own gaps. Compliance officers become integrators.
Wrap a marketing layer around a dozen external vendors and resell the bundle. Data is scattered across third parties you don't control. Your roadmap is locked to whatever each external provider decides next. Your compliance quality is their quality. Your moat is nobody's moat.
Compliance at scale means handling every document, every jurisdiction, every edge case, every language. It means keeping data under one roof and keeping the roadmap under one CEO. You can't get there by picking a slice, and you can't get there by gluing other people's slices together.
So we chose the hard path: a completely integrated, centralised platform that owns its entire stack. We are product-focused — every quarter we go deeper, not wider. Our benchmark is not "does it demo well". It's "does it handle the messy 18% that everyone else excludes from their scope".
That's the company we are building.
We don't resell data. We don't depend on someone else's LLM for compliance decisions. We don't outsource the parts that define the quality of the product. Every core capability is engineered, tuned and run inside Mercurium — on our own GPUs where customers require it.
A purpose-built reader that understands any format in any language — PDF, scanned, encrypted, handwritten — preserving layout, tables, signatures and graphs. The foundation everything else sits on.
Verifies facts across documents like a senior analyst — bank statements vs. audited accounts, passport vs. proof-of-address, SPA clauses vs. cap table. Finds inconsistencies machines alone would miss.
222M+ corporate records, 700K+ PEPs, real-time sanctions lists, 100+ language adverse-media index — all deduplicated, disambiguated, and kept fresh by our own pipelines. No third-party resale.
A deep-research agent that gathers signal from the open web with source-grounded citations — without vendor rate limits and without leaking customer data to third-party search APIs.
WorkflowAI lets us wire every model, database, check and integration into deterministic agents — then Emma calls them as tools. One platform. One roadmap. One source of truth.
Fast streaming client model for the conversation; Celery-backed specialist agents running on private GPUs for the heavy lifting. Every turn is versioned, auditable and replayable.
Whether you're a fund admin onboarding an LP, a bank onboarding a corporate client, or an M&A team running diligence on a target — the underlying process is the same. Classify the actor. Ask only the questions that matter. Verify the answers end-to-end.
We built the platform around that realisation — and that's why a single Mercurium workflow handles what competitors treat as five separate products.
Every onboarding and due-diligence flow starts the same way: who is in front of us? A fund admin classifying an LP, a bank classifying a corporate client, an M&A team classifying a target — the process is identical. Individual or entity. Domicile. Structure. Industry. Risk posture. Mercurium captures this once and uses it everywhere downstream.
Our AI adaptive questionnaire takes the actor profile and chooses the fewest and best questions to ask — tailored to the jurisdiction, the entity type, the risk tier, and the specific workflow. It then builds a custom data room for that entity — the exact folders, the exact document types, nothing extraneous. The investor or counterparty only ever sees documents they actually need to provide.
Drop every document in one go. Mercurium auto-classifies each file, routes it to the right verification workflow, extracts the key data, cross-checks coherence, runs background and sanctions screening where needed, and scores the outcome. Our integrated workflow pipeline picks the right checks for each document type and jurisdiction automatically — across any document, across any jurisdiction.
On top of our compliance, document-intelligence and workflow platform we're building a fully integrated CRM & front-office management layer — the missing connective tissue between relationship managers, compliance teams and operations. The Beta is almost finished and a small group of design partners is using it daily.
We didn't start from a feature list. We started from a research paper. The findings made it impossible to keep building point tools — the friction between front and back office is the problem that has to be designed out, not patched.
We're a small, deeply technical team — product engineers, ML researchers, compliance operators. Everyone on it has shipped production compliance systems at scale. We hire people who care about the boring 95% of edge cases more than the flashy 5%. If that sounds like you, we'd love to hear from you.
Jean-François hand-coded the first 90% of the Mercurium platform himself — the document intelligence pipeline, the workflow engine, the agent orchestrator, every line of it. Product obsession runs the company because it runs him. Together with Avrah he convinced an exceptional team to bet on this mission.
Avrah shapes Mercurium's operations, commercial strategy and investor relationships. Together with Jean-François he convinced an amazing team to join them — and he keeps them shipping. Deep experience across fund administration and corporate onboarding.
Mrinal leads the development of our AI-driven compliance infrastructure for financial institutions.
UPenn Computer Science graduate with a strong background in AI, he brings deep technical expertise and global experience in backend systems and automation.
Seasoned C-level executive with 25+ years' experience leading growth, transformation, and M&A across Europe.
Currently CFO/UK Country Manager at Aether and Operating Partner in multiple ventures.
Edouard Narboux is the CEO and co-founder of Aether Financial Services, an expert in financial innovation and private credit. He brings bold vision and banking precision to empower alternative lenders with innovative, compliant solutions.
With a background in engineering and 1.5+ years of product design experience, Gayan blends creativity with technical know-how to build intuitive digital experiences. At Mercurium, he leads design across product and marketing.
Purv Kabaria is an analyst with experience in both software and business development. At Mercurium Analytics, he leverages his tech and business skills to enhance the platform and expand its reach, delivering tailored AI solutions for the financial industry.
Shanaya is an emerging finance professional with a growing foundation in investment banking and financial analysis. At Mercurium Analytics, she assists in business development and strategic scaling efforts, helping grow the company’s market presence and expand its client base.
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