AI TOOL PROFILE
minware: Engineering Analytics and Data Platform
- Data and Analytics
- Analytics and Reporting
- Software companies
- Enterprise engineering teams
- Engineering managers
- Operations managers in software organizations
Pricing
Pricing starts at $25 per contributor per month for the Business plan. A Free plan is available for 1-5 contributors, and Enterprise pricing is custom.
At a glance
- Best for
- Software companies, Enterprise engineering teams, Engineering managers, Operations managers in software organizations
- Key use cases
- Measuring Development Efficiency, Sprint Planning Support, Project Cost Capitalization, Analyzing AI Tool Impact, Individual Contribution Tracking
- Integrations
- Jira, GitHub Issues, GitHub, GitLab, Bitbucket
- Official website
- Visit minware official website
How AI is used
minware is a data platform designed to aggregate information from version control, ticketing systems, and calendars into a semantic layer. It uses AI data models to translate low-level engineering data into high-level insights, such as active development time per ticket.
The tool is built for software companies and engineering teams. It provides a library of pre-built reports covering DORA metrics, sprint health, and individual contributions, which can be customized using a query language called minQL.
Buyers may use the platform to identify workflow bottlenecks, monitor AI tool adoption, and perform cost capitalization. The system is SOC 2 Type 2 certified and offers different data ingestion methods, including an on-premise agent for specific security requirements.
Buyers should confirm which specific ticketing and version control systems are supported and review whether they require granular role-based access controls, as some permission features are limited to the Enterprise plan.
Key Features
Pre-built Report Library
Includes templates for DORA metrics, Agile sprint health, and project completion tracking.
AI Data Models
Supports text classification, cost attribution, and identity resolution across different data sources.
minQL Query Language
A custom formula language used to view and customize data lineage and report metrics.
Identity Resolution
Reconciles names, emails, and user IDs across multiple vendors to match a team structure.
On-Premise Ingest Agent
Allows enterprise users to upload data locally so access tokens remain within their network.
Cost Attribution
Helps track where development time is spent to support project cost allocation.
Use Cases
Measuring Development Efficiency
Using DORA-inspired reports to track deployment frequency and lead time for changes.
Sprint Planning Support
Monitoring ticket estimates, rollover rates, and completed vs. committed points.
Project Cost Capitalization
Allocating development costs by mapping time spent on projects and contributor salaries.
Analyzing AI Tool Impact
Monitoring the adoption and performance patterns of AI coding tools.
Individual Contribution Tracking
Consolidating code, ticket, and review activity for performance reviews and one-on-one meetings.
Integrations
- Jira
- GitHub Issues
- GitHub
- GitLab
- Bitbucket
- Azure DevOps
- Google Calendar
FAQ
Who is considered a 'contributor' for minware billing?
- A contributor is anyone whose data you want to see in the reports, and organizations can select who is counted as a contributor.
Does minware support self-hosted systems?
- Yes, minware integrates with self-hosted versions of its supported systems for Business and Enterprise customers.
What security certifications does minware have?
- minware is AICPA SOC 2 Type 2 certified.
Can I customize the reports in minware?
- Yes, reports can be edited and customized using minQL, a custom formula language designed for time-series data.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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