Making enterprise AI
simple, secure,
and under control

SeldonIA was created to address a growing gap between the promise of AI and the reality of enterprise adoption. While generative AI has rapidly transformed consumer tools, most organisations struggle to deploy AI in a way that is secure, governed, and operationally sustainable.

Our Mission
Make enterprise-grade AI accessible, usable, and trustworthy for organisations of all sizes.
The Enterprise AI Reality

Despite the hype, AI adoption
remains slow, fragmented, and difficult

Enterprises face a combination of structural challenges that prevent them from moving beyond experimentation.

Lack of time and expertise

Many organisations lack the time to acquire specialised skills required to design, deploy, and operate AI systems securely and effectively.

Leadership and alignment gaps

AI initiatives often suffer from unclear ownership, misalignment between IT and business teams, and uncertainty at executive level about where AI can deliver real value.

High costs and complexity

Cloud-based AI solutions introduce unpredictable usage-based pricing, technical dependencies, and integration challenges that are difficult to scale sustainably.

Limited maturity

Most companies run only a handful of isolated AI use cases. As a result, AI remains experimental rather than embedded into daily operations.

Core Barriers to Adoption

Four barriers consistently
emerge across every industry

From our work with organisations across industries, these are the obstacles that prevent organisations from moving beyond experimentation.

01

Complexity

AI is perceived as difficult to understand and even harder to implement. Most solutions require specialised expertise that organisations simply don't have.

02

Data security concerns

Sensitive business data cannot be exposed to third-party platforms or foreign jurisdictions. Most cloud AI solutions make this impossible to guarantee.

03

Unpredictable costs

Consumption-based cloud models make budgeting and scaling risky. Costs spiral as usage grows, making enterprise-wide adoption financially unsustainable.

04

Generic solutions

One-size-fits-all AI fails to reflect industry-specific processes, constraints, and regulations. The result: tools that don't fit real operational needs.

The SeldonIA Approach

Designed from the ground up
to remove these barriers

SeldonIA provides a foundation that allows AI systems to operate within the same governance, security, and operational standards as the rest of your infrastructure.

01

Simple by design

Our platform integrates seamlessly into existing environments and workflows, without requiring deep AI expertise or complex implementation projects.

02

Secure and sovereign

All data remains within the customer's own infrastructure. No uncontrolled data transfers. No external dependency by default. Your data, your jurisdiction, your rules.

03

Predictable and sustainable

SeldonIA operates on a transparent annual licence model, avoiding unpredictable usage-based pricing. One number, enterprise-wide, no surprises.

04

Tailored to real business needs

Through a curated marketplace of specialised AI agents, organisations can activate capabilities aligned with their industry, functions, and maturity level.

Why on-premises AI — and why now?
AI is moving from experimentation to mission-critical infrastructure

As AI systems become more autonomous and embedded into decision-making, governance, security, and control are no longer optional. On-premises and customer-controlled AI architectures provide:

  • Full data sovereignty
  • Clear accountability and auditability
  • Reduced ethical and operational risk
  • Long-term cost predictability
Our Vision

AI should be a reliable internal
capability — not a black box

We believe AI should work for every organisation, not just those with deep pockets and specialist teams.

Accessible
Not reserved for specialists. Every team, every function, every size of organisation.
Governed
Not improvised. Structured, auditable, and aligned with enterprise security standards.
Embedded
Not experimental. Integrated into daily operations and real business workflows.
Owned
Not outsourced blindly. Under your control, within your infrastructure, on your terms.
The Team

Seasoned leaders blending technology,
go-to-market, and cybersecurity expertise

Driven by a strong commitment to data ethics and a belief that enterprise AI should be accessible, governed, and owned.

Clément Rabourdin
Clément Rabourdin
Founder, CEO & Product
INSEAD ECOO25 M.S. Computer Science, CY Tech
Industries Tech, Cybersecurity, Retail
Positions Managing Director, Sales Director, CISO
Experience 20+ years
Isabelle Vickery
Isabelle Vickery
CMO & Operations
INSEAD ECOO25 Management & Corporate Finance MBA
Industries Tech, RegTech, Cybersecurity
Positions Marketing Director (SMB and Enterprises)
Experience 20+ years
Eric Perraudeau
Eric Perraudeau
M.S. Computer Science – Cybersecurity & Networks, EPITA
Industries Tech, Cybersecurity, Mobile Energy
Positions Managing Director, Sales Director, Founder
Experience 20+ years