Like a Debugger for Your Workflow

Measure, analyze, and refine your engineering processes so you can lead with clarity instead of assumptions.
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Effortlessly answer any question with rich, trustworthy data.

What's my Token Cost by Project ?

Start from pre-built reports and industry benchmarks.

Where are the biggest bottlenecks?

Investigate where the most time is spent, unexpected bounce backs, and more in the Ticket Cycle Time dashboard.

Are we resolving high-priority bugs on time?

Access a full set of metrics broken down by bug priority level with minware's Bug Resolution Dashboard.

Do our processes support best practices?

Ensure your team is following hygiene best practices to improve flow and stabilize sprint health with the Sprint Best Practices Dashboard.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

Save your tokens and leave the rest to us.

Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.

Automated Caching & Orchestration

The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.

Standard Data Modeling & Benchmarks

minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.

Vendor Data Linking & Normalization

minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.

Error Handling & Recovery

minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.

Identity Resolution

minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership.

On-Premise Ingest Agent

For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

How does minware help engineering teams track process metrics accurately?

minware uses actual Git, ticketing, and CI/CD activity to measure software process metrics such as cycle time, review time, and idle time. These metrics show how work moves through the system without relying on status fields or time tracking.

What makes minware different from other tools tracking software development process metrics?

minware calculates process metrics in software engineering based on real delivery activity. This includes coding time, review duration, unreviewed changes, and deployment wait times.

Can minware help identify bottlenecks in the development process?

Yes. minware breaks down where time is spent across coding, waiting, reviewing, and releasing. These metrics development process insights help leaders target slow stages and improve delivery flow.

Does minware support agile process metrics?

Yes. minware tracks agile process metrics such as sprint carryover, scope change, and review delays. It helps agile teams improve consistency and eliminate recurring inefficiencies.

How does minware help with metrics for continuous process improvement?

minware gives teams a baseline for process measurement metrics software engineering leaders can track over time. These metrics make it easier to test changes, measure their impact, and guide continuous improvement.

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