Sawmills, a smart telemetry data management platform, emerged from stealth with $10M in seed funding.
The highly oversubscribed round was led by Team8, with participation from Mayfield and Alumni Ventures. Founded by enterprise software veterans who were previously executives at New Relic, CloudBees, and Tricentis. Sawmills' AI-powered platform allows enterprises to manage the data flowing from engineering teams to their observability tools, identifying opportunities for cost reduction while enhancing critical monitoring capabilities.
"Engineering teams are grappling with both cost and quality challenges in their observability data," said Ronit Belson, CEO of Sawmills, who founded the company alongside Amir Jakoby and Erez Rusovsky. "Missing data points, inconsistent formats, and duplicate data drive up costs and make root cause analysis unreliable and time-consuming. Observability has become the second-largest expense after cloud costs for most companies. In our conversations with VPs of Engineering at leading companies, they consistently tell us that up to 90% of their observability data is useless - yet they're still paying to collect, process, and store all of it. Unpredicted spikes are another major challenge. We recently spoke with one company where a single developer's mistake led to $250,000 in additional fees in just one day. Engineering teams need intelligent telemetry data management that not only improves data quality but also prevents costly mistakes before they happen. Sawmills automatically identifies optimization opportunities and implements guardrails to protect against unexpected cost spikes while ensuring you capture the data that matters."
Sawmills enables companies to optimize their observability practices through intelligent data management. The platform uses AI models to analyze telemetry data as it streams through the system, automatically identifying opportunities to reduce spending, improve data quality, and prevent observability system outages. Companies can implement Sawmills' recommendations with a single click and set automated policies to prevent unexpected cost spikes and availability issues. The platform's intelligent routing capabilities not only direct data to cost-effective storage solutions but also provide organizations with the freedom to switch between observability vendors without disrupting their monitoring infrastructure.
The impact of Sawmills' approach is already evident among early adopters. Edi Buslovich, a VP of Engineering at Via, said: "Partnering with Sawmills has set us on a path toward optimizing our telemetry data—paving the way for streamlined costs, improved observability resource allocation aligned with our business needs, and enhanced data governance."
"Telemetry data management is emerging as a critical new category in enterprise cloud infrastructure," said Liran Grinberg, Managing Partner at Team8. "The Sawmills team has a deep understanding of the problem and a comprehensive vision that perfectly positions them to own this new category. This isn't just about cost reduction; we believe Sawmills' approach to intelligent telemetry data management will massively improve observability and become essential infrastructure for modern enterprises."
Built on the OpenTelemetry Collector, Sawmills enhances this widely adopted open-source standard with advanced AI-powered capabilities to deliver:
- Real-time Processing: The platform's AI-powered engine processes logs, metrics, and traces as they stream in, automatically detecting and fixing issues like missing data points and inconsistent formats while optimizing costs through smart sampling, routing, dropping, aggregation and more.
- Comprehensive Control: Organizations gain complete control over their observability strategy through smart policies that automatically enrich telemetry data, improve data quality, and protect against unplanned data spikes and system outages.
- Vendor Flexibility: Sawmills' architecture ensures enterprises can maintain robust observability while having the freedom to adapt and switch between observability vendors as their needs evolve.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...