The AI & Data Platform for Disciplined Engineering Teams
minware’s purpose-built AI and data platform helps engineering teams ship higher-quality software faster.
The problem with first-gen engineering data platforms
First-gen data platforms rely on rigidly defined fields like deployment count, PR cycle time, etc. They will get you in the right ballpark, but are:
Lagging, unactionable
They tell you what happened, but not what caused it. Why are cycle times slow – is it interruptions, bad estimates, large tickets? How do I get better?
Disconnected from impact
Arbitrary unit counts (tickets, PRs, etc.) don’t tell you what matters.
Cumbersome and manual
If you want additional visibility (work type, tech debt, active dev effort, etc.), you have to painstakingly label tickets or log time by hand.
“Instead of AI replacing engineers, maybe it should help them get better.”
Kevin Borders
Founder & CEO, minware
minware’s AI & data platform offers insights without effort
minware uses modern methods to derive metrics with higher-level meaning (e.g., active development time per ticket) that are:
Actionable
See exactly where problems lie so you know where to improve.
Impact-Focused
Measure the effect on available engineering time instead of arbitrary unit counts.
Automatic
Compute high-level properties without having to log time, impose mandatory fields, or change the way you work.
minware answers real questions
CEOs don't ask about cycle times. minware answers real questions like these (links go to live demo):
minQL and BI report builder let you customize anything
All minware reports are built on top of the minQL query language and fully editable.
Access any field from any data source to create custom metrics with powerful formulas, including custom event cycle times.
Say goodbye to spreadsheets and SQL.
Goals and benchmarks make getting better easy
Set goals and track progress toward better process, planning, and CapEx efficiency with minware’s library of scorecard metrics.
Measure code and ticket best practices like using pull requests, thorough code reviews, linking branches to tickets, and more.
How does it work?
GitHub
GitLab
Azure
Jira
Google
& More
Data Extraction & Quality
Data Mapping & Linking
Change History
minQL Query Engine
AI/LLM Insights
AI & Data Platform
Report Library
Custom Reports
Scorecard & Benchmarks
Shareable Dashboards
Clean, full-time-series data
minware does all the hard work for you – loading data, tracing commit graphs, and linking code/tickets to build a full-time-series data set (accessible from anywhere with minQL, of course) so you can view your data at any point in the past, and see how each person spent their time with auditable precision.