For more than a decade, Olivier Khatib lived in the trenches of enterprise technology — and what he saw was dysfunction on a global scale.

A data scientist who graduated from Imperial College London, Khatib spent ten years building AI and automation systems for some of the world’s largest organizations. As founder and CEO of London Data Consulting (LDC), he led large-scale transformation projects for HSBC, AXA, and BNP Paribas.

And after seeing hundreds of ERP rollouts from the inside, he reached a harsh conclusion:

“The ERP industry is still selling 1990s architecture to a 2025 world,” he says. “Everything is siloed, everything is fragmented, and every company knows it.”

Khatib didn’t just observe the problem — he lived it. And he realized the issue wasn’t that companies lacked data, automation, or cloud tools. The problem was structural.

Every department was running a different system. Every system spoke a different language. And “integration” had become enterprise code for “expensive chaos.”

So he built DATANEO — the platform designed to replace that chaos with a single intelligent core.

From ERP Overload to Enterprise Intelligence

Khatib had read thousands of RFPs from mid-market companies — many doing $50 million to $500 million in annual revenue — and they all said the same thing in different ways:

“Too many systems. Too little coherence.”

Traditional ERP vendors promised “end-to-end integration.” In reality, they delivered a patchwork of modules tied together by consultants, APIs, and wishful thinking.

DATANEO takes a different stance: stop duct-taping the past. Build for the architecture we actually live in.

“The modern enterprise is distributed by nature,” Khatib explains. “It’s modular, data-rich, and connected — but ERPs were never built for that. They’re trying to centralize a world that doesn’t want to be centralized.”

DATANEO: The AI-Native Enterprise OS

DATANEO doesn’t just sit on top of your systems — it unifies them.

At its core is NeoMind™, an AI-native operating system that connects and understands every function of a business: finance, CRM, HR, logistics, projects, and customer support.

Unlike traditional ERPs, NeoMind wasn’t built around forms and workflows. It was built around context — the real connective tissue of enterprise intelligence.

Each module — Finance+, CRM+, HR+, Project+, Stock+, and Support+ — acts as an intelligent service that plugs into the same reasoning layer.

That means every part of the organization shares one ontology, one memory, and one understanding of what’s happening across the business.

“You can still use Salesforce, HubSpot, or Workday if you want,” says Khatib. “But once you connect them through DATANEO, they stop being silos and start acting like one living system.”

Instead of static dashboards, executives interact with DATANEO in plain English:


Example prompts NeoMind can handle in real time:


NeoMind retrieves, reconciles, and interprets live data — producing an answer that’s not just accurate, but explainable.

Every output includes reasoning, provenance, and confidence levels.

That’s not just integration. That’s enterprise intelligence as infrastructure.

The Model Context Protocol (MCP): AI with Boundaries

Behind DATANEO’s flexibility is its biggest technical breakthrough — the Model Context Protocol (MCP).

MCP acts as a universal bridge between NeoMind and the systems companies already use.

Traditionally, connecting enterprise apps required endless custom connectors and middleware. MCP changes that by standardizing how AI interacts with data and APIs.

“It’s plug-and-play for enterprise AI,” Khatib explains. “You can connect new systems in hours, not months — and the model immediately knows how to use them.”

Each MCP connection creates a temporary, permissioned context, allowing NeoMind to process information securely — without exposing underlying credentials or data structures.


Example prompts leveraging MCP connections:


For engineers, MCP eliminates the need for brittle middleware.

For business teams, it means agility — the freedom to evolve stacks without starting from scratch.

The Architecture: Distributed by Design

Under the hood, DATANEO isn’t built like traditional enterprise software. It’s designed as a distributed operating system, designed to keep every part of a company’s digital stack connected, consistent, and intelligent.

The platform runs on a modern Node.js and TypeScript core, split between two main services: one orchestrating all product modules — Finance, CRM, HR, Automate+, and more — and another running the Model Context Protocol (MCP), which powers NeoMind’s secure AI reasoning layer.

Data flows through a governed Postgres backbone, updating in real time so NeoMind always operates with live context. When it analyzes, predicts, or plans, it draws from a network of large language models — using OpenAI for deep reasoning, Gemini for planning, and other models for retrieval and summarization — grounding every output in verified business data.

“We designed DATANEO as a self-healing enterprise OS,” says Khatib. “If one part slows down, the others adapt. Every service understands its context and role.”

The result is a platform that’s modular, explainable, and adaptive — combining AI reasoning, data integrity, and automation into a single, coherent architecture.

It’s not just distributed computing.

It’s distributed intelligence.

The Mid-Market Revolution

While DATANEO scales to global enterprises, its fastest-growing audience is the mid-market — companies between $50M and $500M in annual revenue.

They’re too complex for lightweight tools, too fast-moving for legacy ERP rollouts.

They don’t want 18-month “digital transformations.” They want automation that works next week.


Example day-to-day prompts from current pilots:


Because DATANEO is delivered as a SaaS platform, deployment is instant — companies can onboard and start running intelligent workflows in minutes.

For more advanced integrations or custom data environments, the API-first architecture and MCP layer enable deep, secure connections across existing systems.

In both cases, there’s no setup friction, no consultants, no endless rollout cycles.

The platform continuously learns from live operations, surfacing inefficiencies, forecasting risks, and recommending actions before humans even spot the patterns.

“We’re not selling transformation projects,” Khatib says. “We’re selling systems that just work.”

Repair, Replace — and Reimagine

Khatib doesn’t see DATANEO as just a replacement for ERPs. He sees it as an evolution of how enterprise systems should think.

“ERPs will still exist,” he says. “But they’ll stop pretending to be the brain. DATANEO is the cortex that actually makes the business think.”

The company raised its first funding in Europe and is now expanding to New York, targeting finance, logistics, and manufacturing — industries suffocating under legacy infrastructure.

Its adoption curve has been steep. Once engineers see how MCP and NeoMind operate in real time, few want to go back to traditional architectures.

Building for Reality, Not Diagrams

At its heart, DATANEO reflects Khatib’s pragmatic engineering philosophy:

“We don’t build for the perfect architecture diagram. We build for the mess companies actually live in.”

He sees modern enterprise AI not as a marketing arms race, but as a systems problem — how to make distributed parts work together intelligently, safely, and transparently.

That’s why DATANEO is built on three simple principles:


The result is a platform that doesn’t just analyze your business — it understands it.

After a decade of watching the ERP world promise integration and deliver fragmentation, Olivier Khatib decided to stop waiting for the market to fix itself.

He built DATANEO, an AI-native enterprise OS that finally brings coherence to the modern stack — whether that means connecting old systems or replacing them entirely.

In a world of bloated dashboards and brittle integrations, Khatib isn’t chasing disruption.

He’s doing something rarer — repairing what enterprise tech broke.

And in the world of ERPs, that might just be the most revolutionary act of all.