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Route issues directly
to the right developers.

Bugflows is the decision support MLaaS platform for issues. It learns from historical data to predict critical insights for expedited resolutions of issues.
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How It Works

Bug history in. Decisions out.

Connect your tracker once — every new bug arrives pre-triaged.

1 · ConnectYour bug history

2 · LearnYour team's patterns

3 · PredictEvery new bug

Seven signals with every prediction
Assignee Team lead Priority Status Resolution time Duplicate risk Backlog routing
See it in detail

Product Videos

Short product stories, one feature at a time.

Explore quick BugFlows moments through a layered video carousel with synced feature messaging.

Feature spotlight

Security Overview

See how Bugflows protects issue data with encryption, privacy controls, access boundaries, and deployment flexibility.

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See How Bugflows Works

From the moment a new issue is reported, Bugflows uses your historical defect data to recommend the right owner, route it to the right queue, and estimate how long resolution is likely to take.

Evidence and scale
1M+

Validated on 1M+ defect records

Bugflows has been tested on large historical defect datasets. Actual model performance depends on the quality of your issue history, label consistency, and team structure.

25yr+

25+ years of engineering experience

Bugflows is built by a team with deep experience across software delivery, machine learning, and enterprise infrastructure.

4+

Validated in multiple enterprise workflows

Early deployments and pilots span multiple software environments. The point is not generic AI hype, but repeatable issue resolution outcomes.

The product is designed to improve
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90%
Up to 90% team-lead accuracy

Based on historical assignment patterns in customer defect data where team ownership is consistently labeled.

70%
Up to 70% developer-match accuracy

Helps teams recommend likely assignees faster when historical routing data is detailed enough to train on.

54%
Up to 54% better resolution-time guidance

Gives triage and planning teams a clearer estimate of how long a newly reported issue may take to resolve.

79%
Up to 79% status prediction accuracy

Useful for duplicate detection, backlog routing, and faster understanding of where similar issues tend to land.

Validated on large historical defect datasets, tuned for BugFlows decorative image .

Use Bugflows when you need clearer triage recommendations, fewer misrouted defects, and a more operational way to review routing decisions at scale.

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