Opsera provides an agentic DevOps platform that unifies software development, AI model, and data pipelines under a single orchestration layer, integrating existing tools via zero‑code connections. It embeds DevSecOps guardrails and AI agents for automated remediation, while delivering a unified dashboard with real‑time DORA, DevEx, and AI productivity metrics; the solution is available as SaaS, on‑premises, or hybrid for enterprise DevOps, MLOps, and DataOps teams.
Funding
$20M 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.
PVFounders
Product
Problem
Enterprises often manage disjointed toolchains across software development, AI model lifecycle, and data pipelines, leading to manual orchestration, inconsistent governance, and limited visibility into delivery performance. This fragmentation hampers speed, increases security risk, and makes it difficult to derive actionable metrics such as DORA or AI impact.
Solution
Opsera delivers an agentic DevOps platform that unifies the Software Development Lifecycle (SDLC), AI‑Driven Lifecycle (AI‑DLC), and DataOps pipelines under a single orchestration layer. The platform integrates existing tools—CI/CD servers, version‑control systems, cloud services, and AI assistants—without requiring replacement, enabling seamless end‑to‑end automation. Built‑in DevSecOps governance injects security and compliance checks directly into every pipeline, while AI agents provide autonomous remediation and intelligent recommendations. Unified Insights aggregates DORA metrics, developer experience data, and AI productivity signals into a centralized dashboard for real‑time performance monitoring. The solution is offered as SaaS, self‑hosted, or hybrid, allowing organizations to adopt the model that fits their operational constraints.
Target Audience
The platform targets enterprise DevOps, AI/ML Ops, and Data Engineering teams that need to orchestrate complex, multi‑tool pipelines while maintaining security, compliance, and performance visibility. It is also suited for IT leadership seeking consolidated metrics to drive delivery efficiency.
Features
- Agentic pipelines powered by AI agents that can trigger, remediate, and optimize workflows via natural‑language prompts
- Declarative pipeline authoring with drag‑and‑drop or golden‑template libraries, eliminating custom scripting
- Over 150 native integrations (GitHub, GitLab, Jenkins, GitHub Actions, Salesforce, Databricks, Azure, AWS, etc.) with zero‑code connectivity
- Unified Insights dashboard delivering real‑time DORA metrics, DevEx scores, and AI‑assistant usage analytics
- Integrated DevSecOps guardrails that enforce policy compliance, vulnerability scanning, and audit logging at each stage
- Support for AI coding assistants (GitHub Copilot, Amazon Q) and generative AI workloads within the CI/CD flow
- Flexible deployment models (cloud SaaS, on‑premises, hybrid) with role‑based access control and SSO integration
- Extensible API and webhook framework for custom reporting and downstream automation