Startups > Senser

Senser

Senser helps SRE teams detect and resolve production issues 83% faster with zero instrumentation.

Seed $9.5M total Founded 2021 Ramat Gan, Tel Aviv 3 employees

Senser is an AIOps platform that uses eBPF technology to monitor enterprise production environments with zero instrumentation or configuration required. It leverages machine learning to automatically identify root causes and business impact of outages, reducing mean time to detect by an average of 83%. The platform serves DevOps and SRE teams managing complex distributed systems, differentiating itself through AI-powered insights that replace alert floods with actionable intelligence about actual system events rather than symptoms.

Problem solved

Engineering teams waste hours identifying root causes of outages because existing monitoring tools generate alert floods with symptoms instead of intelligently identifying actual system events and their business impact.

Target customer

Mid-market to enterprise companies with complex distributed systems, particularly SRE and DevOps teams managing production environments at scale. Companies running Kubernetes and cloud-native infrastructure.

Website LinkedIn Crunchbase Twitter / X

Founders

Amir Krayden

CEO & Co-Founder

VP Research and Architecture at DriveNets, early employee managing network infrastructure for global telecom companies; 16-year friendship with co-founders, served together in Israeli Defense Forces.

Yuval Lev

Co-Founder

Early employee at DriveNets working on cloud-native networking infrastructure; 16-year friendship with co-founders, served together in Israeli Defense Forces.

Or Sadeh

Co-Founder

Early employee at DriveNets; 16-year friendship with co-founders, served together in Israeli Defense Forces.

Funding history

Seed $9.5M September 27, 2023 Led by Eclipse · Amdocs, Team8, Magic Wand Ventures, Omer Schneider, Ido Susan (DriveNets CEO)

Total raised: $9.5M

Notable customers

ConsenSys (blockchain company)

Integrations

Not disclosed

Tech stack

jQuery Migrate (JavaScript libraries) jQuery (JavaScript libraries) FancyBox (JavaScript libraries) core-js (JavaScript libraries) Swiper (JavaScript libraries) RSS Open Graph WordPress (Blogs) Matomo Analytics (Analytics) Google Analytics (Analytics) Twitter Emoji (Font scripts) Google Font API (Font scripts) Nginx (Reverse proxies) PHP (Programming languages) Google Workspace (Email) Cloudflare (CDN) cdnjs (CDN) HubSpot (Marketing automation) MySQL (Databases) Google Tag Manager (Tag managers) Yoast SEO (SEO) Cloudways (PaaS)

Website

senser.tech/

Competitors

Datadog

Broader observability platform with extensive integrations; Senser focuses specifically on zero-instrumentation AIOps with AI-driven root cause analysis.

Quest Software

Legacy infrastructure monitoring; Senser uses modern eBPF technology and AI for automated intelligence rather than traditional APM approaches.

LogicMonitor

Requires significant configuration and instrumentation; Senser eliminates configuration overhead with zero-instrumentation approach.

Why this matters: Senser represents a compelling new approach to AIOps by leveraging eBPF for deep system visibility without instrumentation overhead—a significant pain point in the traditional observability market. The founding team's deep experience shipping complex distributed systems at DriveNets combined with an AI-first approach to reduce alert fatigue positions them to challenge established players like Datadog in an increasingly saturated market.

Best for: Enterprise and mid-market companies with distributed systems who need to dramatically reduce time to identify and remediate production issues without expensive instrumentation and configuration overhead.

Use cases

Reducing MTTD in Microservices Environments

SRE teams managing Kubernetes clusters can deploy Senser in minutes without code changes or instrumentation. The platform automatically discovers services, generates SLIs, and identifies root causes of degradations across hundreds of services, reducing mean time to detect from hours to minutes. Teams no longer need to manually instrument each service or configure dashboards.

Identifying Hidden Cloud Cost Drivers

Platform teams use Senser to automatically detect unexpected traffic patterns, resource leaks, and misconfigured services that inflate cloud spending. The platform maps the entire infrastructure and surfaces hidden dependencies and cost drivers without requiring manual monitoring setup, helping teams recover 10-15% of infrastructure budgets.

Cross-Team Production Visibility

Multi-team organizations use Senser's natural language AI chatbot to enable on-call engineers, product managers, and support staff to quickly answer critical questions about production health without deep technical knowledge. Non-technical users can ask questions like 'Why is payment processing slow?' and get immediate root cause analysis.

Alternatives

Datadog Comprehensive observability platform with broad integrations but requires significant instrumentation, configuration, and 20-30% of infrastructure budgets to maintain.

New Relic Established APM and observability platform with broad deployment options but heavier on configuration overhead and cost compared to Senser's zero-instrumentation approach.

Elastic Stack Open-source monitoring with maximum flexibility but requires significant operational overhead to deploy, configure, and maintain; Senser offers faster time-to-value.

FAQ

What does Senser do? +

Senser is an AIOps platform that automatically monitors production environments using eBPF technology without requiring any instrumentation or configuration. It uses machine learning to identify the root cause and business impact of outages and service degradations, reducing mean time to detect issues by an average of 83%.

How much does Senser cost? +

Senser does not publicly disclose pricing. Contact the company directly for pricing information based on your infrastructure scale and monitoring needs.

What are alternatives to Senser? +

Top alternatives include Datadog (comprehensive observability but requires heavy instrumentation), New Relic (traditional APM platform), and Elastic Stack (open-source monitoring requiring operational overhead). Each requires more configuration than Senser's zero-instrumentation approach.

Who uses Senser? +

Senser serves enterprise and mid-market companies managing complex distributed systems, particularly SRE and DevOps teams. Public customers include ConsenSys, a blockchain company that praised Senser's ability to gain control over complex environments in minutes.

How does Senser compare to Datadog? +

While Datadog is a broader observability platform with extensive integrations, it requires significant instrumentation, configuration, and ongoing engineering resources (typically 20-30% of infrastructure budgets). Senser differentiates through zero-instrumentation deployment, AI-powered root cause analysis, and focus on production intelligence rather than collecting all possible telemetry.