DataAgent is developing an AI-powered autonomous observability and remediation platform designed to help engineering teams move beyond monitoring infrastructure toward automatically resolving production incidents. Its technology operates alongside existing observability tools, processes data within customers’ environments, and aims to reduce observability costs by up to 90%. Pulse 2.0 interviewed DataAgent Co-Founder and CEO Ishay Yaari to learn more about the company’s origins, autonomous site reliability engineering, and its vision for self-healing digital infrastructure.
Ishay Yaari’s Background
When asked about his background, Yaari shared:
I spent most of my career in the U.S. working with startups that were subsequently acquired as well as large enterprises. My experience includes R.R. Donnelley (RRD), where I was part of the Fortune 500 executive team leading marketing, as well as leadership roles at HP, where I was responsible for P&L and managed IT services.
When I relocated back to Israel in 2018, I joined Cloudify and led the company’s GTM organization. At Cloudify, I worked closely with Ariel Dan, the company’s CEO, and Nati Shalom, who is my co-founder partner here at DataAgent.
The three of us led Cloudify through its acquisition by Dell in 2023. Following the acquisition, I spent three years at Alicorn, a London-based private equity firm, working hands-on with portfolio companies post-acquisition, including Codefresh, Anodot and Glassbox.
How DataAgent Started
When asked how the idea for DataAgent came together, Yaari explained:
Nati and I reconnected about a year ago and began discussing possible opportunities to build a meaningful technology company together.
Across our experiences, we kept seeing the same challenge: as software infrastructure became more complex, companies kept adding more tools, more telemetry and more people to monitor and troubleshoot their environments; yet the fundamental operating model has remained reactive.
That realization ultimately led us to co-found DataAgent. We wanted to approach the problem from a fundamentally different direction: instead of building another system that tells engineers when something is wrong, we wanted to build infrastructure that can understand what is happening and safely take action to fix it.
And there is actually a simple story behind the name. Whenever people ask me why we called the company DataAgent, I tell them: it’s time to replace the dog with an agent.
The traditional model has been to have a “watchdog” that constantly monitors a system and only barks when something goes wrong. We believe the next generation of infrastructure should have an agent that does not just bark. It understands the problem and then takes action.
Leadership Responsibilities
When asked about his primary responsibilities as CEO, Yaari said:
As CEO, I am responsible for setting DataAgent’s overall strategy and direction, defining our go-to-market strategy, and building relationships with customers, partners and investors.
I also work closely with Nati and the R&D team on product strategy and priorities, while building the team, managing fundraising and ensuring we execute our vision and business goals.
Favorite Memory
When asked about his favorite memory working for the company so far, Yaari recalled:
My favorite memory is really the realization of how quickly we were able to turn an idea into a real company and product.
We started our journey towards the end of 2025, closed our $10 million pre-seed round in January of this year, the month DataAgent was officially born, and by mid-February, we already had five engineers working with us.
Less than eight months later, we brought an entirely new technology and impactful product to market with a team of just eleven FTEs.
That still feels overwhelming to me. The amount of code, technology and product we have been able to create in just eight months is, in my estimation, roughly 10x what it took more than 30 engineers to build over a year at Cloudify.
But beyond the numbers, my favorite part has been watching a small, highly focused team turn an ambitious idea into something real in such a short period of time.
Core Products And Features
When asked about DataAgent’s core products and features, Yaari detailed:
DataAgent is an autonomous observability and remediation platform designed to help engineering teams move from detecting problems to autonomously resolving them.
Our platform is built around four key capabilities:
- Remediation-first operations: Autonomous detection and resolution of common incidents in real time.
- AI-powered autonomous SRE: An enterprise-grade agent that understands the application and infrastructure context and can safely execute corrective actions.
- Cost-efficient observability: By processing information inside the customer’s environment and focusing on essential “Golden Metrics,” DataAgent can significantly reduce the amount of telemetry that needs to be collected and stored, potentially reducing observability costs by up to 90%.
- Adoption without replacement: DataAgent works alongside existing tools, such as Datadog and Grafana, rather than requiring customers to rip out their current monitoring stack. Our platform can resolve issues locally and only send additional data for deeper analysis when needed.
The result is a fundamentally different operating model: instead of simply watching systems and alerting engineers, DataAgent enables systems to understand, act and recover autonomously.
Navigating Industry Challenges
When asked about recent challenges in the autonomous SRE sector and how DataAgent has addressed them, Yaari explained:
One of the biggest challenges in our sector is cutting through the noise around autonomous SRE.
Both legacy observability vendors and new entrants are adding AI agents on top of existing monitoring and telemetry stacks, but in many cases this approach can mean higher costs without delivering a meaningful improvement in MTTR. As a result, customers are understandably skeptical.
We have addressed this by making the value of DataAgent measurable before asking customers to make any major commitment.
We offer a read-only deployment of our agent that analyzes the customer’s environment and produces a fault-coverage report that shows which types of incidents DataAgent can detect, understand and potentially remediate today.
This allows customers to see the actual value and coverage in their own environment before enabling autonomous actions.
The same initial deployment also identifies the telemetry and logs being collected by the customer’s existing observability tools, including areas of overlap and redundancy.
We can then provide a cost-savings analysis showing where customers may be able to reduce unnecessary telemetry and lower their observability spend.
This approach has helped us replace skepticism with measurable evidence: customers can first see what we can fix and how much they can potentially save before they give DataAgent permission to act autonomously.
How The Technology Has Evolved
When asked how DataAgent’s technology has evolved since launching, Yaari said:
We launched the first version of DataAgent in June 2026, so our technology is still at a relatively early stage.
Since launch, much of our progress has focused on turning the core autonomous SRE technology into a product that customers can evaluate and adopt with minimal risk.
In particular, we developed capabilities that allow DataAgent to run in read-only mode and analyze a customer’s environment without making any changes.
This enables us to generate a fault-coverage report that shows what types of incidents DataAgent can identify and remediate, as well as a savings analysis that identifies overlapping telemetry and potential opportunities to reduce observability costs.
Key Company Milestones
When asked about some of DataAgent’s most significant milestones, Yaari highlighted:
Our two most significant milestones so far have been the speed at which we brought the product to market and the onboarding of our first design partners.
These initial design partners and their engineering teams running the DataAgent platform in their environments have allowed us to validate our technology against real-world operational challenges, learn where the product needs to evolve and build the next generation of capabilities around fault coverage, autonomous remediation and observability cost optimization.
For a company at this stage, getting from concept to a working product and then into the hands of real customers has been our most important progress so far.
Customer Success Stories
When asked whether he could share specific customer success stories, Yaari said:
Not yet. We are still early in our customer journey and want to make sure we have enough data before making specific ROI claims.
Our goal is to publish industry benchmarks on the measurable ROI DataAgent delivers to customers by mid-2027, once we have a sufficiently large and representative dataset.
Funding And Revenue Metrics
When asked whether DataAgent could discuss funding or revenue metrics, Yaari shared:
What we can say at this point is that we started the company in late 2025, closed our $10 million pre-seed round in January 2026 and launched the first version of DataAgent in June 2026.
Total Addressable Market
When asked about the total addressable market DataAgent is pursuing, Yaari explained:
DataAgent is pursuing the global observability and application performance management (APM) market, which is already a $10 billion-plus annual market and growing rapidly.
Current industry estimates put the global APM market at roughly $11 billion in 2026, with projections reaching $30 billion-plus over the next several years.
Competitive Differentiation
When asked what differentiates DataAgent from its competition, Yaari explained:
At DataAgent, observability is no longer the main event: it is a feature of an autonomous operations platform.
Instead of following the traditional model of collecting massive amounts of telemetry, detecting an issue, and handing it to an engineer for investigation, DataAgent understands the live system state, application topology and configuration in the environment, identifies what caused the problem and takes a verified corrective action.
Our core approach is “fix first, investigate later.”
The DataAgent platform can autonomously perform actions such as restarting services, scaling resources or rolling back deployments, allowing teams to restore service without waiting for a complete root-cause analysis.
The deeper investigation can happen afterward, once the system is stable.
Future Goals
When asked about DataAgent’s future goals, Yaari emphasized:
Our long-term goal is to build the intelligence layer that transforms infrastructure from reactive monitoring to proactive, self-healing operations at scale.
In the near term, we are focused on expanding DataAgent’s autonomous remediation capabilities, increasing the range of failures it can detect and resolve, and proving measurable improvements in both reliability and cost.
We also want to establish industry benchmarks for the ROI we deliver as our customer base grows.
Building A Digital Immune System
When invited to share his final thoughts, Yaari concluded:
Ultimately, our vision is to build a Digital Immune System for modern infrastructure, an intelligence layer that enables systems to detect failures before they happen, fix problems autonomously and learn from incidents to prevent them from recurring.
In this model, observability becomes a feature rather than the product itself, eliminating the need for the massive telemetry and monitoring costs associated with traditional approaches.
To deliver on this vision, we have designed our distributed agent architecture to provide this intelligence directly where the applications and infrastructure run, while keeping customer data secure.
