The AI kit for Quality Control Specialists

Analyzes production, quality control, NCR, supplier, and audit data to find defects, trends, and root causes, and reviews or generates quality documentation. Use when the user need

Writes NCRs, root cause analyses, corrective action plans, and verification reports, for example a full NCR from inspection data.

Guides you step by step through 5 Whys, fishbone, or fault tree until a validated root cause is confirmed.

Provides regulated manufacturing expertise on investigation, disposition, corrective action, and supplier quality, such as ISO 13485 non-conformance handling.

Like "Analyze Production Data For Inefficiencies"

Like "Quality Control Data Analysis for Improvement"

Like "Analyze and Improve SOPs"

Like "Analyze Data for Compliance Issues"

Recurring exceptions traced to causes with a testable fix.

Quality checklists that cover every approved project requirement.

Show with recorded data that a new reagent lot performs like the old lot before it is used for real samples.

A known error rate by field and person, with coaching based on real examples

Turn a technical drawing PDF into a numbered inspection plan, a ballooned drawing and an Excel report.

Let your AI look up, create, and update Jira issues, sprints, and comments for you.

Lets your AI read and update Jira issues, sprints, comments and Confluence pages for you.

Let your AI control the Chrome you're already signed into: read pages cheaply, click buttons, and fill tricky web forms.

Viso Now turns computer vision model detections into a human review queue and alert system. It is built for operations and quality assurance teams who need to a

Trazable Copilot provides real-time support for food industry quality by answering queries, offering expert guidance, and ensuring compliance with the latest re

Filio converts site photos into verified records with precise location and orientation tags, letting engineers and inspectors capture, organize, and prove exact

Jango automates performance testing for web applications. It is designed for developers and QA teams who need to identify bottlenecks before deployment.

Connect recurring defect symptoms to investigation evidence so root cause claims stay tied to records.

Keep every corrective action closure backed by documented verification, ready for audit review.

Test what actually constrains output before you request new equipment or staff.

Tie every supplier finding to agreed measures and the records that support it.

Manage non-conformance lifecycle, root cause analysis, and CAPA in regulated manufacturing.

Build a decision-grade Pareto for downtime, defects, complaints, or delays with unit discipline and exposure normalization.

Manage CAPA records from initiation to closure, tracking root cause analysis and effectiveness verification.

Turns process walkthroughs into clean, consistent standard operating procedures.