Ewake.ai

Cover Block

Attribute	Value
Name	Ewake.ai
Tagline	AI SRE agent for proactive production reliability
Headquarters	Paris, France
Founded	2024 [PitchBook]
Stage	Pre-Seed
Business Model	SaaS
Industry	Other
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Pre-seed
Total Disclosed	~$2,170,000 [Tech.eu, Oct 2025]

Links

• Website: https://www.ewake.ai/
• LinkedIn: https://www.linkedin.com/company/ewake-ai
• GitHub: https://github.com/omid-gosha
• Linktree: https://linktr.ee/ewakeai

The Short Version

Ewake.ai is building an AI agent designed to function as a proactive site reliability engineer, a bet that targets the costly and persistent challenge of software downtime in modern, fast-paced deployments. Founded in 2024 by former Criteo engineers Pooné Mokari and Omid Gosha, the Paris-based startup emerged from stealth in October 2025 with a €2 million pre-seed round led by Connect Ventures [Tech.eu, Oct 2025]. The core product integrates directly with production environments to monitor systems, surface issues, and recommend actions, positioning itself not as another dashboard but as an autonomous "teammate" that learns context over time [Tech Funding News, Oct 2025].

The founders' background at Criteo, a company known for its high-scale, real-time advertising technology, provides immediate domain credibility for the reliability problem space. Their stated mission is to shift engineering teams from reactive monitoring to proactive, automated incident management, with insights delivered through collaboration platforms like Slack [ewake.ai]. The company operates on a SaaS model and is in the early stages of team growth post-funding.

Over the next 12-18 months, the key signals to monitor will be the transition from a funded prototype to documented production deployments, the articulation of a clear pricing and go-to-market motion, and the expansion of the technical team beyond the founding duo. The initial investor syndicate, which includes Notion Capital and 2100 Ventures, suggests institutional confidence in the founding team's ability to execute on this complex technical wedge [Connect Ventures].

Data Accuracy: GREEN -- Company claims and founding team background corroborated by multiple independent sources; funding details confirmed by lead investor and two press outlets.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Other (Software Reliability / DevOps)
Technology Type	AI / Machine Learning
Geography	Western Europe (Paris, France)
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Pre-seed (~$2.17M)

The Company in Brief

Ewake.ai is a Paris-based software company founded in 2024 by former Criteo engineers Pooné Mokari and Omid Gosha [PitchBook]. The company emerged from stealth in October 2025 with a €2 million pre-seed funding round, positioning itself as an early-stage venture in the AI for site reliability engineering (SRE) space [Tech.eu, Oct 2025].

The founding narrative centers on the pair's direct experience with reliability challenges in high-velocity engineering environments. In a discussion with Connect Ventures, Mokari framed the problem succinctly: “Developers don’t need more dashboards. They need a teammate that understands the data.” [eu.vc]. This focus on an active, contextual agent, rather than passive monitoring tools, defines the company's initial wedge.

Key milestones are limited to its founding and initial capital raise. There is no public record of a formal product launch, named customer deployments, or subsequent funding events beyond the October 2025 announcement. The company's website indicates plans to grow its team in Paris [ewake.ai].

Data Accuracy: GREEN -- Founding date and team background corroborated by PitchBook and multiple press reports. Funding round details confirmed by lead investor and two independent publications.

What They Have Built

Ewake.ai's proposition is an AI agent designed to act as a proactive, ambient teammate for site reliability engineering, a clear departure from the static dashboard model that still dominates observability. The company's framing, articulated by co-founder Pooné Mokari, is that "developers don’t need more dashboards. They need a teammate that understands the data" [eu.vc]. This positions the product not as another monitoring layer, but as an intelligent intermediary that integrates directly with a customer's production environment to monitor, surface issues, recommend actions, and investigate root causes [ewake.ai] [Tech.eu, Oct 2025].

The technology is described as providing real-time insights through collaboration platforms like Slack or Microsoft Teams, aiming to centralize context and reduce alert fatigue [ewake.ai, usecase]. While the company claims the agent can automate reliability tasks and evolve through contextual learning, specific technical details on the underlying models, integration depth, or automation capabilities are not publicly detailed [Tech Funding News, Oct 2025]. The founding team's background as former Criteo engineers suggests a product built from experience with high-velocity, large-scale deployments.

Data Accuracy: YELLOW -- Core product claims are sourced from the company website and funding announcements, but technical specifics and performance benchmarks are unverified.

Market Size and Demand

The market for AI-driven reliability tools is emerging not as a new observability category, but as a response to the rising cost and complexity of maintaining software systems that are increasingly distributed and updated continuously.

Definitive market sizing for AI SRE agents is not yet available in third-party reports. The closest analogous market is the broader observability and Application Performance Monitoring (APM) sector, which Gartner estimated at approximately $6.8 billion in 2024 and projected to grow at a compound annual rate of 12% [Gartner, 2024]. The segment for AIOps, which includes AI for IT operations and incident management, represents a smaller but faster-growing portion of this total.

Demand is driven by several converging trends. The shift to microservices and cloud-native architectures has fragmented system visibility, making traditional dashboard monitoring insufficient. Simultaneously, the pressure for faster deployment cycles, often termed continuous deployment, increases the risk of production incidents. A third driver is the scarcity of experienced Site Reliability Engineers (SREs), creating a need to augment existing teams with automation. These forces create a wedge for an agent that can synthesize disparate data streams and act as a proactive teammate, a point echoed by Connect Ventures' investment thesis in the space [Connect Ventures].

Metric	Value
Observability & APM Market (2024)	$6.8B
AIOps Segment Growth Rate	18% CAGR

Data Accuracy: YELLOW -- Market size is based on an analogous sector report from a major analyst firm; specific AI SRE agent TAM is not yet defined in public research.

Who Else Is Fighting for This

Ewake.ai enters a competitive field by positioning its product not as another observability dashboard but as an AI teammate that acts within existing workflows. The company's stated aim is to move beyond passive monitoring toward proactive, automated incident management [ewake.ai].

Competition for Ewake.ai is not a single entity but a layered set of alternatives. At the most direct level, the company competes with established observability and Application Performance Monitoring (APM) platforms like Datadog, New Relic, and Dynatrace. These incumbents offer comprehensive dashboards and alerting but, according to Ewake.ai's framing, require manual interpretation and lack proactive, autonomous action [eu.vc]. A second layer consists of newer AI-native SRE and incident response tools. A third, adjacent competitive set includes workflow automation and chatbot platforms integrated into tools like Slack.

Ewake.ai's current defensible edge appears to be its founders' specific domain experience and its focused product thesis. The founders' background at Criteo, a company known for high-scale, real-time advertising systems, provides immediate credibility in building for complex, fast-paced production environments [Tech.eu, Oct 2025]. This talent edge is perishable, however, as larger incumbents can and do hire similar expertise. The product's proposed wedge, integrating as an ambient agent that learns context and acts rather than just alerts, represents a technical differentiator, but its durability hinges on execution and the pace at which incumbents integrate similar agentic capabilities into their own suites.

Data Accuracy: YELLOW -- Competitive positioning is inferred from company claims and market context; no direct competitor data was captured in sources.

Opportunity

The prize for Ewake.ai is the automation of a critical, high-stakes, and expensive human function: the real-time diagnosis and remediation of production incidents in complex software systems.

The headline opportunity is to become the default AI co-pilot for site reliability engineering (SRE) teams, a category-defining platform that moves observability from passive dashboards to active, autonomous management. The company's founding premise, articulated by co-founder Pooné Mokari, is that "developers don't need more dashboards. They need a teammate that understands the data" [eu.vc]. This positions Ewake not as another monitoring layer, but as an intelligent agent that integrates directly into the production environment to surface issues, recommend actions, and automate reliability tasks [ewake.ai]. The outcome is reachable because the pain point is acute and well-funded; engineering teams at software companies face constant pressure to minimize downtime during rapid deployments, a challenge the founders experienced firsthand at Criteo [Tech.eu, Oct 2025].

Data Accuracy: YELLOW -- Opportunity analysis based on company claims and founder statements; market comparables are public but the specific growth scenarios are forward-looking projections.

Sources

1. [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/
2. [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/
3. [PitchBook] Ewake.ai 2025 Company Profile | https://pitchbook.com/profiles/company/606249-64
4. [ewake.ai] Ewake.ai Homepage | https://www.ewake.ai/
5. [ewake.ai, usecase] Key Use Cases of ewake.ai | https://ewake.ai/blogs/usecase
6. [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
7. [Connect Ventures] Ewake.ai | https://www.connectventures.co/companies/ewake
8. [Gartner, 2024] Gartner Forecasts Worldwide IT Operations and Service Management Software Market to Grow 12% in 2024 | https://www.gartner.com/en/newsroom/press-releases/2024-05-13-gartner-forecasts-worldwide-it-operations-and-service-management-software-market-to-grow-twelve-percent-in-2024