The problem with most production monitoring tools is that they tell you something is wrong, not what to do about it. Ewake.ai, a Paris-based startup founded this year by former Criteo engineers, is betting that an AI agent trained on your specific environment can be the difference between an alert and an action. The company emerged from stealth in October with a €2 million pre-seed round to build what it calls an "AI teammate" for site reliability engineering [Tech.eu, Oct 2025].
The wedge: from dashboards to teammates
Ewake's core proposition is a shift from passive observation to proactive intervention. Instead of presenting engineers with another dashboard of graphs and logs, its agent integrates directly with production systems. It monitors metrics, surfaces potential issues, and recommends specific remediation steps. According to co-founder Pooné Mokari, the goal is to provide a contextual understanding that static tools lack. "Developers don't need more dashboards. They need a teammate that understands the data," Mokari said in a discussion with lead investor Connect Ventures [eu.vc]. The product is designed to learn from each interaction and deployment, theoretically improving its diagnostic accuracy and suggested automations over time.
Why Connect Ventures wrote the check
The €2 million pre-seed was led by Connect Ventures, with participation from 2100 Ventures, Notion Capital, Insiders, 50partners, and angel investor Amirhossein Malekzadeh [Tech.eu, Oct 2025]. The round signals investor confidence in a technical founding team with direct experience scaling complex systems. Both co-founders, Pooné Mokari and Omid Gosha, built infrastructure at Criteo, an ad-tech giant known for its high-velocity, data-intensive deployments [Tech Funding News, Oct 2025]. This background gives them credibility when selling to engineering teams at other software companies facing similar reliability pressures during rapid code updates. The involvement of Stavros Gerakaris, a senior engineering leader from Criteo, as an advisor further underscores the team's domain expertise [LinkedIn: Stavros Gerakaris].
| Founder | Role | Background |
|---|---|---|
| Pooné Mokari | Co-Founder | Former Criteo engineer [Tech Funding News, Oct 2025] |
| Omid Gosha | CTO & Co-Founder | Former Criteo engineer, T-shaped software engineer [LinkedIn: Omid Gosha] |
The technical breakdown and scale risks
From an infrastructure perspective, Ewake's bet rests on two technical pillars: deep integration and contextual learning. The agent must ingest and correlate data from a customer's entire observability stack,logs, metrics, traces,to build an accurate system model. Its value is directly tied to the quality of its root-cause analysis and the safety of its recommended actions. A misdiagnosis or an overly aggressive automation could escalate, rather than resolve, an incident.
The sober assessment for any AI-driven ops tool is what happens at scale. The agent's performance in a chaotic, multi-service failure scenario is untested. Its learning model requires high-quality, structured telemetry data to function, which many potential customers may not have. Furthermore, the product must achieve a delicate balance: providing enough useful automation to save engineering time without becoming a black box that engineers don't trust. The company's next phase will be defined by its ability to prove this balance with early design partners, as no named customers or deployment metrics have been disclosed.
What to watch in the next twelve months
The immediate roadmap is about moving from a funded prototype to a validated product. The capital is earmarked for growing the engineering team in Paris [Tech Funding News, Oct 2025]. Key milestones to track will be the announcement of initial design partners and the publication of any concrete case studies showing reduced mean time to resolution (MTTR). The competitive landscape in AI for DevOps is also evolving rapidly. While no direct competitors are named in Ewake's sources, the company will need to clearly articulate its differentiation against both incumbent observability platforms adding AI features and a new wave of AI-native ops startups. Its early advantage is a focused thesis, articulated by engineers who have lived the pain, and the capital to start building.
Sources
- [Tech.eu, Oct 2025] Ewake secures €2M to boost software reliability with AI agents | https://tech.eu/2025/10/07/ewake-secures-eur2m-to-boost-software-reliability-with-ai-agents/
- [Tech Funding News, Oct 2025] Ewake raises €2M to build AI agents that tackle software reliability crises | https://techfundingnews.com/ewake-raises-e2m-to-build-ai-agents-that-tackle-software-reliability-crises/
- [eu.vc] Pooné Mokari, Ewake & Pietro Bezza, Connect Ventures: Building the AI Teammate for Software Reliability | https://www.eu.vc/p/poone-mukherjee-awake-ai-and-pietro
- [LinkedIn: Stavros Gerakaris] Stavros Gerakaris - Criteo | https://www.linkedin.com/in/stavros-gerakaris-3ab49465/
- [LinkedIn: Omid Gosha] Omid Gosha - Ewake | https://www.linkedin.com/in/omid-chehrehgosha/