# About — Vellum Intelligence

> Vellum Intelligence is an AI-native regulatory-intelligence service — human-led editorial judgement, AI-scaled coverage across digital and financial regulation.

Canonical: https://vellumintel.com/about/

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About

# Intelligence for serious operators

Vellum Intelligence serves clients navigating regulatory, policy, and compliance complexity across digital regulation, financial regulation, and cross-border environments.

Who we are

## A human-led intelligence operation, scaled by AI.

Vellum is a human-led AI system. Our production workflow is AI-native — which is what lets us cover 174 ecosystems and coordinate briefs around client-selected coverage at a fraction of the cost of equivalent internal or advisory capacity — but every brief is reviewed and signed off by a named editor before it reaches the client. The AI scales the work. The judgement is ours.

We produce structured intelligence for decision-makers who need a clearer view of what is changing, why it matters, and what may need attention next. Our work is designed to be useful to professionals whose time is limited and whose decisions carry real legal, commercial, strategic, or reputational consequences.

Technology regulationAI policyPlatform governanceFinancial policy and regulationCompliance

What we believe

## Discipline matters

In fast-moving policy and regulatory environments, the problem is rarely lack of information. It is lack of clarity.

Vellum is built on a simple view: intelligence should be precise, transparent about uncertainty, and directly relevant to the decisions ahead.

The aim is not to provide more information. It is to provide better judgement.

That means:

* No headline aggregation disguised as analysis
* No overclaiming beyond the evidence
* No false certainty where the picture is still forming
* No unnecessary complexity in the writing

Editorial standard

## Editorial independence is non-negotiable

Commercial incentives do not determine analytical framing, topic selection, or evidentiary standards.

We are careful about conflicts, disciplined in sourcing, and clear about the limits of what can be known at a given moment.

Client confidentiality is treated as an absolute commitment. If a conflict of interest would affect the integrity of our analysis, we decline or scope around it.

The people behind Vellum

## Founder & co-founder.

A pairing of regulatory and platform-governance depth with the operational discipline of senior management consulting.

### Hakim Charles

Founder

Hakim built Vellum after senior public policy roles at X Corp/xAI and Meta, and other intelligence firms, where he led government and regulatory engagement across European and MENA markets. He set up Vellum to bring the same level of analytical discipline he expected internally at platforms — to the in-house counsel, policy leads, and advisory firms now navigating the same regulatory landscape from the other side.

[LinkedIn →](https://www.linkedin.com/in/hakim-charles/)
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[hakim@vellumintel.com](mailto:hakim@vellumintel.com)

### Meryem Benkirane

Co-Founder

Meryem brings over a decade of management consulting and engineering experience to Vellum, having led large-scale transformation and portfolio programmes for blue-chip clients across energy, healthcare, retail, and transport at leading international consultancies. She holds an MBA from IAE Paris–Sorbonne and an engineering degree from ENSEEIHT.

[LinkedIn →](https://www.linkedin.com/in/meryem-benkirane-mba-6b1ab158/)
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[meryem@vellumintel.com](mailto:meryem@vellumintel.com)

[Vellum Intelligence on LinkedIn →](https://www.linkedin.com/company/vellum-intel)

What makes Vellum distinctive

01

### Human-led editorial

Every brief is reviewed and signed off by a named editor before delivery.

AI does not write to the client. A named editor owns every assessment, every confidence rating, and the final word on what ships.
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02

### AI-scaled coverage

174 maintained ecosystems, with coverage selected to match client exposure.

An AI-native production workflow supports 174 ecosystems across 22 jurisdictions. The economics are AI-native; the judgement is not.
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03

### 24-hour delivery

Structured briefs for the ecosystems selected at onboarding.

Cadence and delivery expectations are agreed for the selected coverage.
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04

### Source discipline

Named sourcing, exact dates, explicit confidence on every assessment.

Fact, inference, and uncertainty are kept distinct on the page — so you always know what is established and what is judgement.
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05

### Client-specific relevance

Written for your position, your exposure, your decision horizon.

The methodology is standard; the framing is custom every time. The same development reads differently depending on where you sit.
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06

### Consistent and repeatable

The same structure and evidentiary standard, brief after brief.

Whether it is the third brief or the thirtieth, the shape on the page is identical. A format your team learns once and uses forever.
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## The aim is not to say more. It is to say what matters, clearly.

[Contact Vellum](/contact/)
[View methodology](/methodology/)
