Anodot
Anodot, founded in 2014 in Israel by David Drai, Ira Cohen, and Shay Lang, is an autonomous analytics platform using unsupervised machine learning to detect anomalies and business incidents in real time across enterprise data.
Profile
Real-time anomaly detection and autonomous analytics for enterprise data, using machine learning to identify business incidents and root causes without manual configuration.
Anodot, founded in 2014 in Israel by David Drai, Ira Cohen, and Shay Lang, is an autonomous analytics platform using unsupervised machine learning to detect anomalies and business incidents in real time across enterprise data. Unlike traditional business intelligence and monitoring solutions that rely on predefined thresholds and manual configuration, Anodot continuously analyzes all available data to identify unexpected patterns, alert on incidents, and pinpoint root causes without human intervention. The platform serves organizations across telecom, fintech, adtech, gaming, and e-commerce, helping them reduce detection time and false-positive noise significantly.
Named clients include Razorpay, Cellcom Israel, T-Mobile Netherlands, PayOneer, and LivePerson. Anodot raised $65.5 million over five funding rounds, including a $3 million Series A in late 2015 and a prominent $35 million Series C in 2020 led by Intel Capital and SoftBank Asia. The company achieved $1.5 million in revenue by October 2024 with approximately 78–139 employees.
Anodot was named a Visionary in Gartner's 2024 Magic Quadrant for Cloud Financial Management, reflecting the strength of its cloud cost optimization offering under the Umbrella business unit launched in April 2025. The company was acquired by Glassbox, a digital experience analytics platform, on November 4, 2025, integrating Anodot's anomaly detection engine into Glassbox's user behavior monitoring infrastructure to enable enterprises to detect anomalies before they impact customer experience.
Products by Anodot
Who buys this
- Telecommunications operators managing network operations and 5G automation
- Payment and fintech companies detecting fraud and transaction anomalies
- High-volume e-commerce and gaming platforms monitoring revenue metrics
- Enterprise SaaS companies optimizing cloud costs and infrastructure spend
- Digital-first businesses tracking customer experience and application performance
Publicly disclosed clients
- Razorpay
- Cellcom Israel
- T-Mobile Netherlands
- PayOneer
- LivePerson
Strengths and what to watch
Strengths
- Patented unsupervised machine learning eliminates manual threshold configuration, reducing alert noise by 95% and detection time by up to 80%
- Proven in high-scale production environments across telecom (5G networks), fintech (fraud detection), and e-commerce (revenue protection)
- Gartner Magic Quadrant Visionary recognition in Cloud Financial Management, backed by AWS Rising Star Technology Partner award for EMEA
Watch for
- Acquisition by Glassbox (November 2025) removes independent status and product roadmap visibility; standalone future as Anodot brand uncertain
- April 2026 third-party security breach involving Anodot credentials exposed customer data across Snowflake and BigQuery instances; reputational impact on customer trust and vendor relationships
- Revenue growth flat relative to funding: $1.5M ARR on $65.5M raised suggests long sales cycles, customer concentration risk, or difficulty scaling beyond enterprise pocket customers
Recent moves
Key Information
- Industry
- Data Analyst Platforms
- Founded
- 2014
- Employees
- 139
- Headquarters
- Israel
- Country
- United States
Frequently Asked Questions
What is Anodot?
Anodot is an autonomous analytics platform using unsupervised machine learning to detect anomalies in enterprise data in real time. The platform identifies business incidents and their root causes automatically, eliminating the need for manual threshold configuration or human intervention that traditional monitoring requires.
What industries does Anodot serve?
Anodot serves telecommunications, fintech, e-commerce, gaming, and enterprise SaaS companies. Named clients include Razorpay, Cellcom Israel, T-Mobile Netherlands, PayOneer, and LivePerson. The platform is particularly valuable for organizations managing network operations, detecting fraud, protecting revenue metrics, and optimizing cloud infrastructure costs.
How much does Anodot reduce false alerts and detection time?
Anodot's unsupervised machine learning approach reduces alert noise by 95% and cuts detection time by up to 80%. This dramatic improvement stems from the platform's ability to analyze all available data continuously, identifying unexpected patterns automatically without relying on predefined thresholds that typically generate false positives.
Did Glassbox acquire Anodot?
Glassbox acquired Anodot on November 4, 2025. The acquisition integrated Anodot's anomaly detection engine into Glassbox's digital experience analytics platform to help enterprises detect anomalies before they impact customer experience. Anodot's independent product roadmap visibility became uncertain following the acquisition.
Is Anodot recognized by Gartner?
Gartner named Anodot a Visionary in its 2024 Magic Quadrant for Cloud Financial Management, recognizing its cloud cost optimization strength. The company also holds AWS Rising Star Technology Partner award for EMEA. These recognitions validate Anodot's technological innovation in autonomous anomaly detection for enterprise data monitoring.
What are concerns about Anodot's business performance?
Anodot's revenue growth raises questions: $1.5 million ARR on $65.5 million raised suggests long sales cycles, customer concentration, or difficulty scaling beyond enterprise customers. Additionally, an April 2026 security breach exposed customer credentials, impacting trust. The Glassbox acquisition also removed Anodot's independent status.
How Anodot compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Anodot
- Positioning
- Real-time anomaly detection and autonomous analytics for enterprise data, using machine learning to identify business incidents and root causes without manual configuration.
- Customer segments
- Telecommunications operators managing network operations and 5G automation
- Strengths
- Patented unsupervised machine learning eliminates manual threshold configuration, reducing alert noise by 95% and detection time by up to 80%
- Watch for
- Acquisition by Glassbox (November 2025) removes independent status and product roadmap visibility; standalone future as Anodot brand uncertain
- Recent moves
- Glassbox acquires Anodot for real-time anomaly detection capabilities
Datadog
- Positioning
- Full-stack observability platform with AIOps, serving 32,700 customers at $3.4B FY2025 revenue.
- Customer segments
- Engineering, DevOps, and SRE teams at cloud-native and enterprise companies across fintech, e-commerce, and SaaS.
- Strengths
- Watchdog AI automatically detects anomalies across metrics, logs, and traces without manual threshold configuration.
- Watch for
- Customers consistently report 3 to 10x bill overages at scale as custom metrics cardinality and log volume expand.
- Recent moves
- Launched Bits AI SRE Agent (GA December 2025), autonomously triaging alerts and proposing fixes across the platform.
Dynatrace
- Positioning
- Observability platform using causal and agentic AI to move enterprises from reactive monitoring to autonomous operations.
- Customer segments
- Large enterprises in financial services, telecom, manufacturing, and retail managing complex multi-cloud application environments.
- Strengths
- Davis AI applies deterministic causal modeling to automatically pinpoint root causes, eliminating manual alert correlation work.
- Watch for
- Enterprise customers cite high licensing costs and complex onboarding as barriers that extend proof-of-concept timelines significantly.
- Recent moves
- Launched Dynatrace Intelligence at Perform 2026 (January 28, 2026), fusing deterministic and agentic AI for autonomous operations.
New Relic
- Positioning
- Full-stack observability platform, private under Francisco Partners and TPG since 2023, competing on AI-driven incident resolution.
- Customer segments
- Engineering and SRE teams at mid-market to large enterprises across SaaS, retail, and digital services.
- Strengths
- Consumption-based pricing lets teams start at no cost and scale without upfront host-count commitments.
- Watch for
- Private equity ownership since November 2023 creates roadmap uncertainty, with customers citing reduced long-term R&D investment pace.
- Recent moves
- Launched SRE Agent with autonomous incident triage, intelligent root cause analysis, and Slack integration (February 24, 2026).
Sources
- www.anodot.com — Company overview, products, target industries, customers, core technology claims
- www.crunchbase.com — Funding rounds, investors, founding date, headquarters location, acquisition details
- www.businesswire.com — Glassbox acquisition announcement, date, strategic rationale, Anodot founder and product background
- www.prnewswire.com — Umbrella business unit launch in April 2025, new features, Gartner Magic Quadrant recognition, AWS award
- www.anodot.com — Named customer case studies and testimonials: Payoneer, Razorpay, LivePerson, gaming and fintech clients
- getlatka.com — Revenue figures ($1.5M by October 2024), employee count (78 person team)
- www.glassbox.com — Glassbox acquisition announcement, integration strategy, Anodot technology value proposition
- www.anodot.com — T-Mobile Netherlands case study, zero-touch monitoring implementation, customer benefits