AI-powered developer tools, code integrity, software development
Main Offerings:
Feature Breakdown: • Agentic AI orchestrator
• Context-aware code understanding across repos (RAG)
• Automated PR review & suggestions
• Unit/integration test generation
• Bug detection, coverage goals, compliance metrics
• IDE plugins, CLI, GitHub/GitLab/Bitbucket integrations (Departments: Engineering, QA, DevOps, Product)
Business Industry Gearing: Tech & software development teams; enterprise engineering orgs
Certifications: No public SOC 2 attestation found (as of Oct 2025), No ISO 27001 or formal certs published
Vendors/Tools: Not disclosed
Risk Profile:
Aggregated Reviews: G2 ~4.5/5 (Oct 2025, 40+ reviews)
Adoption Insights:
Metrics: High user satisfaction; no hard NPS published
Barriers: Enterprise security/compliance questions; learning new agent commands
Revenue Model: Freemium SaaS – free dev tier, $19-30/user/mo Teams, custom Enterprise
Pricing: Developer (free 250 credits/mo), Teams ($19-30/user/mo 2,500 credits), Enterprise (custom, self-host) (Sources: Qodo pricing page, Perplexity research (Oct 2025))
Market Context:
| Name | Description | X Account | |
|---|---|---|---|
| Itamar Friedman | Co-Founder & CEO; ex-Alibaba Machine Vision Lab head | https://www.linkedin.com/in/itamarf | https://twitter.com/itamar\_f |
| Dedy Kredo | Co-Founder & Chief Product Officer | https://il.linkedin.com/in/david-kredo | |
| Ethan Schechter | SVP Global Sales | https://www.linkedin.com/in/ethan-schechter |
Key Metrics Update:
News/Trends:
Target Market: Software dev teams from startups to large enterprises
Target Users & Personas: Developers, QA engineers, DevOps, eng managers
User Experience Level: Intermediate to advanced developers familiar with Git workflows
Key Use Cases:
Measurable Outcomes:
Fit Assessment: Strong fit for eng orgs aiming to elevate code quality with AI
Custom Rec Flags: