About Vela Intelligence

Meet the
Vela Team

Built by leaders in enterprise software, AI systems, and decision-critical workflows.

Arnaud Blandin and Robert Salesas
Arnaud Blandin
Chief Executive Officer

Arnaud has spent 20+ years inside the rooms where consequential decisions get made — working with executives, boards, and investors on strategic, risk, and governance questions across Europe and Asia. He has led enterprise sales exceeding $100M across complex, multi-stakeholder deals and built go-to-market strategies for more than 20 companies. He brings an engineering and strategy background that makes him unusual in the room: equally comfortable with the technical architecture of a system and the boardroom conversation it is designed to support. He co-authored a book on AI and decision-making, with a second forthcoming, and teaches at the International University of Monaco and delivers executive programmes at SMU and CEDEP.

Robert Salesas
Chief Technology Officer

Robert has spent 25+ years building, scaling, and selling enterprise technology — leading international teams of 300+ and shipping products that range from secure enterprise hardware deployed in organisations worldwide to mission-critical telephony infrastructure where downtime is simply not an option. He has helped create significant investor value at companies including Microsoft, TiVo, Eptura, and Aircall, across engineering, product, and operational roles. At Vela, he brings that depth to the hard problem of making AI reliable enough for decisions that have to be defended — combining platform architecture, AI systems experience, and the operational discipline that enterprise-grade software actually requires.

Why we built this

Intelligence that earns
its place in the room.

High-stakes decisions require more than fast answers. They require traceable reasoning, defensible evidence, and outputs that can be explained to a room full of skeptical, experienced professionals.

The problem we saw

Investment committees, board reviews, and regulatory submissions need intelligence that is accountable. General-purpose AI tools produce probabilistic outputs with limited traceability — the opposite of what high-consequence decisions require.

What we built instead

Vela is a purpose-built system designed around accountability from the start. It produces structured, source-linked assessments that can be reviewed, defended, and improved — not outputs that must be taken on faith.

Who we build for

Organisations where decisions carry real weight: investment firms, boards, regulators, and governance teams. Professionals who need intelligence they can sign their name to.

Principles.

01

Humans stay accountable

Vela improves the quality of evidence, not the identity of the decision-maker. Judgment stays with the professionals in the room.

02

Every output is traceable

We do not produce intelligence that cannot be followed back to its source. Auditability is a design requirement, not an afterthought.

03

Reproducibility over novelty

The same inputs produce the same outputs. Enterprise workflows depend on consistency, not creative variation.

04

Security is structural

Access controls, identity separation, and audit trails are built into the architecture — not layered on top of it after the fact.

05

Fit for the stakes

We design for decisions that must be defended to boards, investors, regulators, and counterparties with every incentive to find the gaps.

06

Narrow scope, deep quality

We build for a specific class of problem. We do not optimise for breadth at the cost of depth, reliability, or enterprise fit.

Start a conversation.

We work with a limited number of organisations on high-stakes use cases. If your decision environment demands rigor, traceability, and accountability, we would like to hear from you.

Get in touch See Deal Intelligence

A note on the name

Vela is a constellation in the southern sky, home to the Vela Supercluster. Its name is Latin for the sails of a ship — originally part of the larger constellation Argo Navis, the ship of Jason and the Argonauts, later divided into three: Vela, Carina, and Puppis. Its brightest star, Gamma Velorum, is the closest and brightest Wolf-Rayet star visible from Earth. Delta and Kappa Velorum, together with Epsilon and Iota Carinae, form the False Cross — an asterism so convincing it has been mistaken for the Southern Cross by navigators for centuries.

The project started life as Orion — a good name, until we discovered the many other things already called Orion, including OrionDB. Since we were building from the database up, that was a problem. The database became VelaDoc, the platform became Vela Intelligence, and the name turned out to fit rather well: a constellation associated with navigation, precision, and things that look deceptively simple from a distance.