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Explore the STRIDE AI portfolio

Our Products

Our products are built on a foundation of rigorous research, practical industry experience, and a deep understanding of modern software engineering challenges. Every solution is designed to transform proven research advances into real-world tools that help organizations improve productivity, reduce risk, and make better decisions. Through extensive validation on large-scale software development data and continuous refinement based on industry needs, we deliver AI-powered solutions that are both innovative and practical for today's engineering teams.

Product 01

Intelligent Software Development

Spotfixes

THE PROBLEM
Large software projects generate thousands of bug reports every month. Manually reviewing each report, identifying duplicates, assessing severity, understanding customer impact, and deciding what deserves immediate attention can overwhelm even the most experienced engineering teams.

Every hour spent triaging bugs is an hour not spent building features, fixing critical issues, or delivering value to customers. Your best engineers should be solving problems, not sorting through endless queues of reports.

THE SOLUTION SPOTFIXES BRINGS
Spotfixes transforms a noisy stream of bug reports into actionable intelligence. Using advanced AI, it automatically detects duplicate reports, predicts severity, identifies high-risk issues, highlights affected components, and surfaces the bugs that require immediate attention. Instead of reacting to an ever-growing backlog, your team gains a clear, prioritized view of what matters most.

The result is faster triage, reduced operational overhead, improved engineering productivity, and shorter time-to-resolution for critical issues. Engineering managers gain better visibility, developers stay focused on high-value work, and customers benefit from quicker resolutions and more reliable software.

Whether your organization uses Jira, Bugzilla, or a combination of tools, Spotfixes integrates seamlessly into your existing workflow and continuously learns from your data to deliver smarter recommendations over time.

Stop wasting valuable engineering hours on manual triage. Let AI handle the analysis while your team focuses on innovation.

ARE YOU READY?
Ready to see how much time and cost Spotfixes can save your organization? Contact us today to schedule a personalized demonstration, discuss a pilot deployment, and discover how AI-powered bug intelligence can help your team ship better software, faster.

WE ARE HERE FOR YOU
Interested in bringing Spotfixes to your engineering organization? We'd love to learn about your current triage process, understand your challenges, and explore how Spotfixes can reduce backlog, improve response times, and help your teams focus on what matters most. Contact us to arrange a live demo or pilot program.
Customize According to Your Need
Product 02

Intelligent Software Development

GeneUS

THE PROBLEM
Software Maintenance and Evolution (SME) is moving fast with the assistance of artificial intelligence (AI), especially Large Language Models (LLM). Understanding the requirements for maintenance and development
work i.e. Requirements Engineering (RE) is a crucial phase that kicks off the SME workflow through multiple discussions on a proposed scope of work documented in different forms. The RE phase ends with a list of user stories for each unit task and usually created and tracked on a project management tool such as GitHub, Jira, AzurDev, etc. This is an enormous time-consuming phase of software development. Research found that average software projects spend approximately 6 months of their developers time for distilling requirements and creating actionable tasks on the project management boards.

SOLUTION
Our intelligent tool Geneus (Generate UserSory) uses cutting-edge large language models to automatically create user stories from software requirements documents and created curated tasks with precise requirements, definition of done, and test case design. It also integrates the generated tasks to the GitHub and Jira project boards. If you would like to integrate them into another platform, our developers are ready to make any changes that you need to serve you the best. 

Requirements documents are usually long and contain complex information. And we know, LLMs typically suffer from hallucination when the input is too complex. To mitigate this problem, Geneus uses a new prompting strategy, Refine and Thought (RaT) which improves the performance of the LLM for large and noisy contexts.

DOES IT PROTECT MY DATA PRIVACY?
Geneus uses locally deployed LLM which keeps your data within itself only for you to have access to. We do not involve GPT, Co-pilot, Claude, Deepseek or any other proprietary models who could potentially steal your data and information which is the most valuable asset of yours. 
If you wish to deploy the tool on your server, we are happy to do that for you too. Even if you are using the online service, your data is not visible to anyone other than you.

ARE YOU READY?
Ready to see how much time and cost Geneus can save for your organization? Contact us today to schedule a personalized demonstration, discuss a pilot deployment, and discover how we can provide you the best service and meet your needs.
Customize According to Your Need
Product 03

Intelligent Software Development

Senolytic

THE PROBLEM
Software developers frequently encounter a recurring challenge: when asked "why a particular design choice was made?", the honest answer is often uncertainty — the original decision-maker must be consulted, if they remain accessible. In many cases, that individual has left the organization or no longer recalls the reasoning. 
The rationale behind a significant decision including why a specific library was selected, why a particular validation check was introduced, or why a certain implementation shortcut was avoided — frequently exists solely in an individual's memory, or is embedded deep within an archived GitHub issue conversation thread causing loss off technical knowledge often known as "Tacit Knowledge".

Loss of design decision knowledge may lead to unconscious damage to the system's architecture eventually making your software system less maintainable over time until it becomes too expensive to maintain.

SOLUTION
Synolytic is a software system that automatically identifies important design decisions made during software development and helps engineering teams preserve them as searchable, documented knowledge. It analyzes the GitHub issues and conversation threads to identify meaningful design decisions that may not have been formally recorded. Synolytic then compares those decisions with existing project documentation. When a decision appears to be missing or inadequately documented, it flags it as a documentation gap, allowing developers to review the original conversation and decide whether the documentation should be created or updated. This way, Synolytic helps continuously recover valuable design knowledge from development history and connect it to official technical documentations allowing developers maintain a healthy evolution of the software system.
Customize According to Your Need