Paris-based Omniscient has raised €3.5 mn in pre-seed funding to hire engineers, keep building its platform, and push commercial rollout further, led by Seedcamp.
Other backers included Drysdale, Plug and Play, MS&AD, Raise, Anamcara, and xdeck, giving the company investor support stretching from France to Japan to the United States.
Omniscient is built to close that gap by giving executive teams the intelligence they need while freeing operational teams from manually chasing information.
Chief executive officer and co-founder Arnaud d’Estienne said the same issue kept surfacing during his work at McKinsey. Companies were sitting on huge amounts of data, though they still lacked a reliable way to turn it into decisions at the pace markets now demand.
He said the cost of that gap shows up in missed signals, missed opportunities, reputational damage, and reactive crisis management.
Founded in 2024 by d’Estienne and Mehdi Benseghir, Omniscient builds AI-powered decision intelligence for boards and senior executives.
The company says its proprietary agentic AI scans more than 100,000 sources across formats and platforms, replacing fragmented and manual intelligence work with a single system that stays on continuously. The aim is to give leadership teams a stronger factual base for faster decisions.
The company argues the timing is obvious. Senior leaders now face more data than ever, spanning markets, media, operations, supply chains, and stakeholder networks across multiple regions. Yet turning that data into timely and usable insight has become harder, not easier.
Omniscient points to the value sitting on the line. It cites research showing corporate reputation accounts for roughly 30% of the market value of the world’s largest listed companies, amounting to trillions of euros.
Even so, many organisations still rely on monitoring tools the company sees as fundamentally weak.
Get it wrong and the downside is brutal. A missed signal, Omniscient argues, can trigger a reputational crisis and wipe billions from market value overnight. A late read on a strategic opening can leave a rival with the upper hand. Small lag, big damage.
The founders say the root problem comes from three failures stacking on top of each other. First, the number of tools and data feeds is overwhelming.
Large organisations often work across more than 150 separate platforms, each tied to a region, function, or channel, without one trusted source pulling it all together.
Omniscient says its own benchmarking found legacy methods are 50 times slower than AI-native systems built for this kind of work.
The result, according to the company, is more missed signals, more dangerous delay, and spending that runs into millions each year through large internal teams or outside advisory fees.
The platform first focused on corporate reputation.
Omniscient says it acts like an always-on team of analysts for the C-suite, collecting and contextualising information from more than 100,000 sources across press, social platforms, the web, video, audio, and internal data pipelines.
That output is then delivered through one management console in real time, prioritised for leadership use.
At the centre of the system is a proprietary architecture built around specialist AI agents. Each agent covers a defined area, including stories, regulation, supply chain, or competition.
Their output is then pulled into a two-minute executive recap inside a broader management cockpit that updates continuously.
The company says the platform watches an organisation’s wider ecosystem, including suppliers, competitors, clients, and partners.
It is designed to surface early warning signs before they turn into full crises, identify openings ahead of competitors, and automate qualitative analysis that once required large teams. That’s the sell, and honestly, it lands cleanly.
With the new capital, Omniscient plans to add engineering talent, deepen the product, and expand commercial rollout as it brings in more partners.
Omniscient says it plans to move into predictive and prescriptive analytics, giving organisations guidance on what is likely to happen next and what action to take.
The platform is being built to use historical data, competitor behaviour, and real-time signals to recommend the best course before events force a response.
