Kubiks LLC
Kubiks provides full-stack observability with AI-powered fixes, leveraging OpenTelemetry-native instrumentation to identify and resolve application issues in minutes.
At a Glance
- Startups
- Enterprise engineering teams
- AI-focused companies
- Modern cloud-native businesses
AI Tools by Kubiks LLC
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Kubiks
AI Observability and Auto Fix
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Products & Services
A full-stack observability platform that provides deep insights into application performance, errors, and user experience using OpenTelemetry-native instrumentation.
An AI-powered agent that monitors traces and logs, detects anomalies, identifies root causes, and suggests fixes automatically.
OpenTelemetry-native tracing that follows requests across services, databases, and APIs with span-level precision.
Market Position
Kubiks positions itself as an easier-to-setup, AI-native alternative to traditional observability tools, emphasizing '5-minute setup' and automated remediation over manual dashboards.
Leadership
Founders
Alex Holovach
Co-Founder of Kubiks and Founding Engineer at Sazabi (YC P26). Previously Senior Software Engineer at Prove and TAG - The Aspen Group. Experienced in building observability tools and distributed systems. Interned at Google.
Max Yarmakovich
Co-Founder of Kubiks. Previously Senior Software Engineer at Molten Cloud and Lead Software Engineer at TAG - The Aspen Group. Graduate of the University of Pennsylvania.
Executive Team
Alex Holovach
Co-Founder
Co-Founder of Kubiks and Founding Engineer at Sazabi (YC P26). Previously Senior Software Engineer at Prove and TAG - The Aspen Group. Experienced in building observability tools and distributed systems. Interned at Google.
Max Yarmakovich
Co-Founder
Co-Founder of Kubiks. Previously Senior Software Engineer at Molten Cloud and Lead Software Engineer at TAG - The Aspen Group. Graduate of the University of Pennsylvania.
Founding Story
Alex Holovach founded Kubiks after seeing companies lose millions during downtime due to poor observability. He observed that while giants like Google and Meta have teams to ensure proper infrastructure instrumentation, most companies lack the time for manual configuration, leading him to build an automated, AI-powered solution.
Business Model
Revenue Model
Software-as-a-Service (SaaS) model with usage-based or subscription pricing (freemium mentioned).
Pricing Tiers
Available for teams to sign up and start with basic observability features.
Target Markets
- Startups
- Enterprise engineering teams
- AI-focused companies
- Modern cloud-native businesses
- Real-time application performance monitoring
- Automated root cause analysis of errors
- Distributed tracing across multi-cloud environments
- Consolidated logging and metric analysis
- Proactive issue resolution with AI-generated fixes
- Vercel
- Users of Drizzle ORM, Resend, and Better Auth