AI · QA · RELEASE MANAGEMENT
UAT feedback arrives without enough context.
Ciqora connects project priorities, code, automated QA and UAT feedback in one command center to predict delays, verify releases and tell teams what to fix next.
AI made code move faster. Everything after code is still waiting.
UAT feedback arrives without enough context.
Tickets lose the reason behind the requirement.
Leaders chase updates instead of seeing release truth.
Testers and clients report directly inside your UAT environment. Ciqora quietly packages the session, technical evidence and business context into one useful signal.
“The total changes after I apply the company discount.”
From the moment an issue is reported until the fix is proven.
Stakeholders report issues inside your UAT environment. Ciqora records what happened, where it happened and the technical evidence your team needs.
Every signal is deduplicated, prioritised, linked to the right story and routed to the right owner without adding another backlog to manage.
CiqoraQA reproduces the issue, validates the change and runs targeted regression checks before a release decision is made.
Leaders see blockers, missing approvals, SLA risk and a live readiness signal instead of chasing status across tickets and chat.
This interactive concept shows the product experience we are building. Click any stage to inspect the evidence, ownership and release impact Ciqora keeps connected.
Ciqora records the tested build, critical paths and known exceptions before stakeholders begin acceptance testing.
Ciqora connects requirements, stories, changes, QA evidence and approvals into a live decision surface for the entire delivery team.
Security is being treated as a launch requirement for Ciqora, not a badge added later. These controls describe the architecture we are building toward for early access.
Sensitive fields, tokens and personal data are designed to be filtered before evidence is sent for AI processing.
The launch architecture requires TLS in transit and encryption at rest for stored evidence and project data.
Each integration is intended to request only the permissions needed for the workflow it performs.
Teams will control who can view recordings, technical logs, tickets, approvals and release evidence.
Every automated action, ownership change and human approval is planned to leave a reviewable trail.
QA, UAT and production contexts are designed to stay separate, with explicit controls over capture and retention.
Ciqora is currently in development. These are planned product requirements, not claims of certification or completed compliance.
Ciqora does not replace Jira, GitHub or your people. It gives them shared delivery context and closes the gaps between each handoff.
We are inviting engineering, QA and delivery teams who feel the gap between faster code generation and reliable releases.