When it comes to identifying software bugs and issues in our technology, one thing for certain is that the primary goal is to ensure they don’t keep happening — although that isn’t always the case.
In a nutshell, Quality Assurance (QA) is intended to detect bugs and resolve the issues while ensuring there are preventative measures in place, so the bugs are not repeated in the future. Broadly speaking, the bug tracking software market is expected to reach just over US$600 million by 2026, significantly up from $218 million in 2018 and growing at a compound annual growth rate of 13.60% over the forecast period. Fueling that growth will be the increased need for bug-free software development in a short turnaround time and the rise in spending on software testing processes.
In line with this, the use of artificial intelligence (AI) in bug tracking software is becoming more prevalent because it can do real-time exception monitoring and alerting, quickly understand errors and find important errors, and help developers understand the error and fix the root cause much quicker.
Meet
Railtown AI Technologies Inc. (CSE:RAIL, Forum), a Burnaby, BC-based technology company that is building a software-as-a-service (SaaS) delivered solutions for software development teams that uses and provides AI solutions for optimizations and insights at each stage of software development.
Current problems that exist in the Quality Assurance (QA) process is identifying problems after they’ve already happened instead of catching them before they become major issues, which is how Railtown AI is able to set itself apart from its peers in the space.
Current problems in the Quality Assurance process (QA)
At present, it is estimated that at least 40% of development effort and time is spent on tracing and finding errors, which means tools and integrations are needed to find solutions to these problems. As such, it takes time to analyze and figure out what the root problem is and then deploy a solution and monitor its resolution. Because of this, many organizations don’t have a dedicated team or the resources to do so or find a solution in a cost-effective or seamless way.
This is where a company like Railtown AI steps in. Thanks to its AI platform, the company’s solutions can catch and prioritize errors early and before they spread. In an interview with Stockhouse Editorial, Railtown AI CEO Cory Brandolini explained that the company has set out to build an application built around machine learning and AI to improve the efficiency of software engineering.
He explained that issues with software engineering are getting more complex because software programs essentially run 24 hours per day, 365 days per year, with engineering teams working around the clock to ensure no issues arise that could cause a system to crash and be damaging to a company.
The Railtown AI advantage
Although solutions exist to detect bugs and issues in software, Railtown AI stands out above the rest thanks to its platform that catches and detects errors and bugs before they can even spread.
As it currently stands, Brandolini said that in order to put an ease on all of the inner workings in technology — which includes manpower, tools, and notifications when something goes wrong in real-time — Railtown AI set out to build a platform that can understand the build of an application at its earliest stage so it can recognize an issue that will happen at the earliest stage of a pipeline of code or build before the issue reaches the end-user.
“Railtown is set out to capture all errors within a build at the root cause at the earliest stage of an engineer’s cycle that is pushing that build,” he explained. “If that exception is caught before it becomes an issue, then you’ve now cracked the code of bringing down critical problems when they reach [consumers] and driving down engineering costs that companies are investing into solving these issues with manpower.”
In other words, simple coding errors are costing companies billions of dollars in damages and lost revenue, which is where Railtown AI and its solutions steps in. Brandolini explained that the company’s mission is essentially using AI to monitor application health and performance and detect the root causes of issues before they turn into major problems AND, in turn, become costly to resolve.
Putting it simply, Railtown’s dashboard can track efficiency gains across an organization’s development team as well as the health of the application, while also eliminating costly downtime. What this means is that critical coding errors can take hours to correct, resulting in a 42% productivity loss, which is the equivalent of over 17 hours spent on bad code and the debugging of a 40-hour workweek.
With that in mind, Railtown’s platform has three different editions of its platform for different levels of use, including:
Developer edition — this is primarily for students, teachers, and solo developers. This edition supports single projects as well as local and one deployed environment in addition to advanced error tracking and bucketing and provides notifications on errors.
Team edition — this offers advanced dashboards, analytics and CI/CD support and can handle multiple projects and multi-developers in one place.
Enterprise edition — this edition offers customized solutions with better pricing and dedicated support intended for a larger corporation’s specific needs.
No matter what Railtown AI platform is used, the amount of savings made when it comes to detecting potential bugs is insurmountable, while also making the company a unique investment opportunity unlike any other.
The management team
Marwan Haddad, founder/CTO
Marwan Haddad has over 25 years of software development experience in addition to 10 years of experience leading and building high-performance engineering and product development teams.
Haddad also spent 8 years as the chief technology officer and vice president of engineering for RESAAS, which is a global award-winning real estate cloud platform. Before joining RESAAS, Haddad worked as a software consultant and solutions provider with a wide range of local and international companies. Haddad also has experience setting up teams and building applications/platforms on time and on budget.
Additionally, Haddad has led the development efforts/teams and launched several platforms for Fortune 500 Companies including Microsoft and Starbucks Haddad holds a B.Sc. in Electrical Engineering and has completed several advanced MIS courses and is actively involved with UBC computer science/engineering mentorship programs.
Cory Brandolini, founder/president
Cory Brandolini has over 3 decades of experience working in capital markets and as an advisor to disruptive, high-growth software companies within the technology industry. Throughout his career, Brandolini has helped raise over $150 million for public technology companies. His background includes 2 decades spent in the investment industry with Octagon Capital and Wolverton Securities.
Brandolini was also recently the founder, CEO and chairman of RESAAS Services, where the platform saw its largest growth rate as a raw start-up to over 400,000 subscribing realtors worldwide. Brandolini has continued to provide capital markets and M&A advisory to technology companies, including Proteic Bioscience Inc. and WISR AI Inc.
Elliot Holtham, founder/AI data scientist
Elliot Holtham has a wide range of experience in natural sciences, engineering and technology. Holtham has a passion for developing innovative technology, while his strong work ethic and competitive drive has allowed him to advise and lead groups to success. Holtham was also co-founder, CEO and COO of Xtract AI, a machine learning company that was acquired by Patriot One Technologies (TSX:PAT). Holtham has a Ph.D. in geophysics from the University of British Columbia and was awarded Canada’s most prestigious graduate scholarship, the Vanier Canada Graduate Scholarship. Holtham has also co-authored over a dozen published scientific articles and been a speaker at technical conferences around the world. Holtham also holds an MBA from IE Business School in Madrid where he was on the Dean’s List and graduated from UBC’s Engineering Physics department with Distinction.
Kevin O’Neill, founder/advisory chair
Kevin O’Neill has spent his 35-year career working in technology, investing, advisory and leadership. O’Neill was also both co-founder and CEO of 5 disruptive technology companies that later went on to be acquired by major tech companies, including a digital auction company (acquired by OpenLane), a unified messaging company (acquired by AOL), a telecom company (acquired by Microsoft), a network performance company (acquired by Packeteer) and an AI company (acquired by Patriot One).
The investment corner
As of the time of this writing, Railtown AI has a market capitalization of C$14.54 million and a share price of $0.19, with 76.51 million shares and 76.51 million shares outstanding.
Thanks to its real-time SaaS AI solution that helps detect, analyze and fix problems quickly, Railtown AI is able to prevent system and application downtimes — effectively offering a solution unlike any other currently on the market.
In line with this, as the use of AI also growing at an exponential rate, so too will the potential of Railtown AI as its team of experts continues to drive innovation and value to its customers — and investors.
For more information,
please visit railtown.ai.
FULL DISCLOSURE: This is a paid article produced by Stockhouse Publishing.