Early-access pilot · Case study in progress
SoftKAI tests KrevoPilot as a DevOps services team.
SoftKAI installed KrevoPilot in a realistic Kubernetes test environment to assess whether the platform delivers useful, trustworthy operational context—not just a polished demo.
Relationship disclosure: SoftKAI receives free early-access use of KrevoPilot in exchange for candid product feedback and participation in this case study. This is not a paid endorsement. No quotation, rating, or final customer outcome is published here without SoftKAI's approval.
Test environment
A realistic Kubernetes evaluation
- A real 11-service demonstration application.
- Deliberately broken bad-image and crash-loop workloads.
- An over-provisioned workload for optimization review.
- Independent installation and product exploration by the SoftKAI team.
What was validated
Evidence, access and application context
- The agent connected and delivered cluster data.
- Read-only access and sensitive-data handling were inspected.
- Application inventory, health and CPU/memory context matched the cluster.
- Krevo AI diagnosed the tested image and crash-loop failures with supporting evidence and appropriate fixes.
Feedback loop
The pilot is shaping the product
SoftKAI's feedback has directly informed work on multi-architecture agent images, live connection-state recovery, investigation target selection, clearer application identity, and frontend performance.
The final case study will distinguish completed validation from requested improvements and measured longer-term outcomes.
Current status
The evaluation is ongoing.
This page records verified pilot scope, not a finished success claim. Quantified operational outcomes and an approved customer quotation will be added only when the evaluation provides enough evidence and SoftKAI approves publication.