Paris-based Ewake emerges from stealth with pre-seed funding to expand its AI platform for software reliability.
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Paris-based Ewake, a company developing the world’s first AI teammate for software reliability, has emerged from stealth and raised €2M in a pre-seed round of funding.
Led by Connect Ventures, the round also saw participation from 2100 Ventures, Notion Capital, Insiders, 50partners, and several angel investors, including Amirhossein Malekzadeh.
Pietro Bezza, Managing Partner of Connect Ventures, says, “Ewake is flipping software reliability on its head. Engineers waste too much time on tedious maintenance—slow, expensive, and buried in data. But the real value these days isn’t in collecting data; it’s in analysing, triaging, and actually fixing issues, fast.”
“We are excited to back Pooné and Omid in their journey to build AI agents that watch production and run smart investigations. At Criteo, as ex-SREs, lived the pain of endless on-call nights. Now they’re building their own avatars—AI teammates that can solve issues 100x faster, better, and always on.”
Ewake will use the funds to develop additional AI agents, expand its product capabilities, and grow its team in Paris to serve more customers.
An AI reliability teammate
Founded by former Criteo engineers Pooné Mokari (CEO) and Omid Gosha (CTO), Ewake develops AI agents that connect directly to production environments and collaborate with engineering teams to improve software reliability.
The founders created the company after facing recurring challenges in maintaining reliability while deploying code rapidly. Their goal is to enable developers to take full ownership of reliability through agentic AI.
Pooné Mokari says, “Software downtime costs the technology industry $400B every year in revenue and productivity loss, as well as reputational damage. A wave of engineering tools have been launched to tackle this growing phenomenon, but these are invariably delivered as data platforms. This creates ‘data fatigue’, as engineers are required to manually wade through data from multiple platforms, respond when systems fail, and all without a concrete explanation of the root cause and real impact of that failure.”
“Another issue with the existing tools is that they are not delivered to developers, but instead to site reliability engineers (SREs). This leads to developers who are not incentivised to ensure reliability. This issue has been compounded by AI accelerating code generation, meaning that engineers face even greater complexity, while still under a mandate to keep pace.”
“That’s why we built Ewake as an AI agent, and not another data platform. We are on a mission to ensure all developers are able to own and maintain their code, and to do so while shipping quality code at speed,” adds Mokari.
Ewake’s ‘AI teammate’ consists of a suite of AI agents that monitor production systems and help prevent incidents through intelligent investigation, with instant interaction capabilities. These agents integrate with existing tools, interpret and connect data in real time, and address downtime directly.
Unlike static observability platforms, Ewake’s AI agents continuously learn from their environment, building a stronger understanding of a company’s software operations and business context as they are used. Over time, this allows them to automate manual reliability tasks and increase their effectiveness.
