Software Engineering Management Elevated

minware’s purpose-built AI and data platform for software engineering management reveals the killer insights your team needs to consistently deliver high-quality work.
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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.

How can we increase velocity?

Identify bottlenecks at a glance with minware’s Cycle Time and Workflow dashboard.

Are our sprints going to plan?

Ensure your team has the support and skills they need to stick with sprint best practices.

How much are bugs costing us?

Discover the process problems that can lead to quality issues with minware’s CFR/Bug Creation 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

What makes minware different from traditional engineering management tools?

Traditional engineering management tools focus on tickets or Git events separately. minware connects ticketing, Git, and CI/CD data to show how work moves through the delivery process. It gives teams clear metrics on planning accuracy, unreviewed code, scope creep, and delivery consistency.

Can minware serve as a complete engineering management platform?

Yes. minware centralizes software development tracking tools into one system that shows throughput, review patterns, and team-level efficiency. It replaces spreadsheets, manual dashboards, and scattered analytics with a single engineering management platform.

Does minware support both high-level and team-level engineering KPIs?

Absolutely. Whether you're tracking organizational throughput or reviewing planning accuracy by team, minware provides traceable engineering KPIs without needing custom dashboards or scripts.

Does minware provide engineering intelligence tools for team comparisons?

Yes. minware includes engineering intelligence tools that compare teams by metrics like cycle time, planning accuracy, and rework rate. These comparisons help identify strong performers, detect coaching opportunities, and standardize delivery practices.

Can minware replace multiple disconnected engineering management software tools?

Yes. minware combines planning, delivery, and review metrics in one place. It replaces disconnected systems with a complete software engineering intelligence platform that works across ticketing, Git, and CI/CD systems.

How does minware help engineering managers lead more effectively?

minware gives managers real-time data on sprint health, unplanned work, and review behavior. These insights help prioritize improvements, coach teams, and make informed decisions across the engineering organization.

How much setup is required to start using minware as an engineering management platform?

Very little. Once you connect your delivery systems, minware models the data automatically, no labeling, tagging, or workflow changes required. You’ll get full visibility with no disruption.

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