Plandek offers an AI‑driven platform that aggregates data from all DevOps tools, surveys, and source‑code repositories to give engineering leaders a complete, real‑time view of their software delivery lifecycle. The platform provides forecasts, root‑cause analysis, and actionable recommendations—plus the Dekka AI assistant—to help teams identify bottlenecks, align work with business priorities, and improve delivery speed and quality.
Funding
$5.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Software development organizations often lack a unified view of their entire software delivery lifecycle, making it difficult to identify bottlenecks, align engineering work with business priorities, and improve developer productivity.
Solution
Plandek delivers an AI‑driven intelligence platform that aggregates data from all DevOps tools, surveys, and source‑code repositories to provide a comprehensive “X‑ray” of the SDLC. The platform generates forecasts, root‑cause analyses, and actionable recommendations that help teams prioritize work, reduce cycle time, and increase delivery quality. An AI assistant (Dekka) guides users through insights and best‑practice frameworks, while out‑of‑the‑box dashboards and custom reporting enable leaders to track business impact and continuous improvement.
Target Audience
Primary customers are engineering leaders, product managers, and development teams in mid‑size to enterprise software organizations seeking data‑driven ways to boost delivery speed, quality, and alignment with business goals.
Features
- Automated ingestion of data from CI/CD, issue‑tracking, version‑control, and monitoring tools to create a single source of truth for the entire delivery pipeline
- AI‑powered analytics that surface hidden bottlenecks, predict delivery dates, and quantify the impact of engineering work on business outcomes
- Real‑time dashboards with hundreds of pre‑built metrics and the ability to configure custom views for different roles
- Dekka AI Engineering Assistant that delivers contextual recommendations, framework guidance, and answers to ad‑hoc queries
- Business alignment modules that map engineering output to roadmap initiatives and calculate value‑creation metrics
- Developer experience insights that track satisfaction, focus, and defect escape rates to improve team health
- Integration library for major platforms (Jira, Azure DevOps, GitHub, GitLab, etc.) and open APIs for extending the data model