The race to keep software systems reliable and efficient is becoming more critical than ever as businesses face mounting pressure to deploy faster while maintaining uptime. Paris-based Ewake has emerged from stealth mode with a bold proposition—AI-driven agents that promise to transform the way engineering teams handle software reliability. The company raised €2 million in a pre-seed funding round led by Connect Ventures and several key investors, including 2100 Ventures, Notion Capital, and Insiders.
But beyond the headlines, Ewake’s launch taps into a pressing issue within the tech world: how do you maintain reliability when systems are becoming increasingly complex, and the rate of code deployment is outpacing traditional monitoring solutions?
The Growing Software Reliability Crisis: A Billion-Dollar Problem
Software downtime is not just a technical inconvenience—it’s an industry-wide crisis costing businesses an estimated $400 billion annually. The issue spans across lost revenue, productivity, and the often-overlooked reputational damage. According to Gartner, more than 70% of businesses have experienced some form of software failure in the past 12 months, making it a systemic challenge for all sectors, from e-commerce giants to healthcare and fintech startups.
Yet, the tools available to address this have largely been reactive—data platforms, observability tools, and monitoring dashboards that flood engineers with data, leaving them to interpret and act on it in real-time. According to Pooné Mokari, CEO and co-founder of Ewake, this “data fatigue” is one of the most significant challenges in the modern engineering landscape. “Engineers are drowning in data without concrete solutions. You can’t fix problems just by looking at charts and logs.”
This observation mirrors a broader issue in the software reliability market. The tools that exist today focus on either data aggregation or alerting, but they don’t integrate well enough to drive actionable insights. As AI continues to automate more aspects of development, the need for tools that autonomously fix reliability issues and prevent future incidents has never been more critical.
Ewake’s Solution: AI Teammates for Every Developer
Enter Ewake, which offers a radically different approach: AI-powered “teammates” that not only monitor production systems but also perform intelligent investigations and implement fixes autonomously. Unlike traditional observability tools, Ewake integrates with a company’s production environment, interprets real-time data, and allows engineering teams to collaborate directly with its AI agents to improve software reliability at scale.
The company’s vision is to empower developers to own and maintain their software reliability, removing the burden from site reliability engineers (SREs). By automating repetitive tasks like investigating root causes, flagging anomalies, and even fixing issues in real-time, Ewake promises to accelerate resolution times by up to 100x. Over time, these AI agents continuously learn from the environment, improving their ability to diagnose issues and optimize system performance.
This is a clear response to the growing complexity of modern software systems. According to Forrester, the average enterprise now deploys over 30 applications across cloud environments, making manual management and oversight increasingly untenable. As companies scale, keeping track of all their systems and ensuring uptime becomes exponentially more difficult.
Omid Gosha, co-founder and CTO of Ewake, adds, “As engineers, we’ve lived through the pain of on-call shifts, firefighting incidents at 2 AM. Our AI agents are designed to solve those issues in seconds, not hours.”
The AI Revolution in Software Engineering
Ewake is tapping into a larger trend in the tech industry—AI as the new frontier in automation. In 2025, the global market for AI in software engineering is projected to reach $30 billion, growing at an annual rate of 35%. This surge is driven by the growing demand for tools that improve productivity, reduce human error, and maintain high system uptime.
The AI reliability market, though still in its early stages, is poised to grow rapidly, with companies like Ewake positioned to capitalize on this shift. As AI-powered development tools continue to evolve, the market will see more autonomous agents capable of managing complex systems in real-time.
At the same time, the pressures on developers are mounting. A report from Stack Overflow found that 41% of developers are now spending over 50% of their time maintaining legacy code, an indication that existing tools have yet to address the long-standing issues of complexity and efficiency. AI-driven agents could offer a solution to this by helping engineers focus on building features rather than constantly managing reliability.
Industry Implications: Where Does This Leave Traditional Solutions?
The rise of AI-powered reliability solutions could potentially disrupt the market for traditional monitoring and observability platforms. Dynatrace, New Relic, and Datadog, leaders in the current observability market, provide businesses with the data they need to identify and resolve issues, but they do not inherently solve the problem—they simply highlight it.
The question for industry leaders is whether they will adapt to this AI-driven future or continue to focus on static data tools. While the market for observability will continue to be essential for visibility, AI-powered solutions like Ewake are positioning themselves as the future of proactive reliability.
Pietro Bezza, Managing Partner at Connect Ventures, who led Ewake’s funding round, believes the startup is on the right track. “Ewake is flipping software reliability on its head. Engineers are wasting too much time on maintenance, which is slow, expensive, and buried in data. With AI agents, the future is about solving problems faster, better, and with fewer manual interventions.”
The Road Ahead: Scaling AI Reliability
With the €2 million funding, Ewake plans to expand its AI agents’ capabilities and grow its team in Paris. The company is also looking to deepen integrations with leading development tools, such as GitHub, Jenkins, and Kubernetes, making it easier for teams to adopt its solution without disrupting their existing workflows.
The road ahead for Ewake will be challenging, but with AI poised to become a cornerstone of software engineering, the startup’s focus on automating reliability at scale could very well prove to be the next big thing in tech.
Conclusion: A Bold Step Toward a Smarter, More Efficient Tech Future
The emergence of Ewake signals a new era in software reliability. In a world where systems are becoming increasingly complex, where speed is paramount, and where software failures cost billions annually, the need for smarter, more proactive tools is urgent. AI-powered reliability agents like those developed by Ewake may not just be a luxury—they could be the key to unlocking the future of efficient, scalable software development.
With the rise of AI-driven automation in engineering, companies like Ewake are setting the stage for a fundamental shift in how software reliability is handled. The next few years will reveal whether Ewake’s AI teammates become an indispensable tool for developers or just another passing trend.
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