Averian is pleased to announce that it is receiving advisory services and funding from the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to support a research and development project to develop an AI-driven assistant that enhances how network and data center operators configure, maintain, and troubleshoot network infrastructure.

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The project will focus on the development of an intelligent AI agent leveraging a fine-tuned AI model and document embeddings to assist network operators in performing complex operational tasks with greater accuracy, consistency, and efficiency. The AI agent is designed to operate not as a replacement, but as an assistant to human operators, supporting informed decision-making while maintaining operator control and oversight.

The AI agent will interface directly with a Network Management System (NMS) through mapped APIs, enabling real-time access to network data, diagnostics, and operational controls. By combining AI-driven guidance with live network intelligence, the solution aims to reduce setup time, minimize errors, and improve overall network reliability.

To enhance accessibility and usability for frontline personnel, Averian will eventually develop a user interface optimized for wearable devices such as AI-enabled smart glasses. These hands-free interfaces will allow technicians to interact naturally with the AI agent while working on equipment in the field. 

Security and safety considerations are central to the project, given the solution’s ability to act on behalf of users when executing network operations. The solution will incorporate safeguards, confirmation steps, and operator validation to ensure actions are intentional, traceable, and compliant with operational policies.

Today’s network configuration, operation, training, and monitoring processes still rely heavily on manual input and individual judgment. This can lead to increased costs, inconsistent outcomes, extended setup and repair times, and unplanned network downtime. Variability between operators further compounds these challenges.

By introducing AI-driven guidance, control, and testing, the project seeks to improve consistency, reduce human error, and provide real-time assessments that enable operators and technicians to respond quickly and confidently to network issues. The ultimate objective is to significantly reduce the time required to configure and maintain networks, lower operational costs, and improve the efficiency and reliability of network operations.

Real world use cases include:

• Degraded Performance Troubleshooting
  In the event of degraded network performance, an operator can interact with the AI agent to identify the root cause. The solution queries the NMS, analyzes network conditions, and pinpoints the source of the issue, such as an overloaded switch or allows the operator to instruct the solution to take corrective action, such as reallocating traffic. 
• Commissioning of New Equipment
  When commissioning new network equipment, the operator installs and powers on the device, then scans its label using a wearable device. The AI agent retrieves relevant configuration data, validates connectivity, applies a baseline configuration, and runs diagnostics and operational tests. If issues are detected, the agent recommends corrective steps. Once validated, the agent confirms the equipment is fully operational and generates a detailed commissioning report for future reference.

For more information on Averian’s AI solutions, visit: averian.io

Semiconductor production demands the highest levels of precision. Even a microscopic scratch, dust particle, or process variation can compromise device yield and reliability. Averian AI Validator is built for this challenge. An AI-driven visual inspection platform that identifies surface anomalies in real time, ensuring quality at every stage of wafer fabrication and packaging

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Key Capabilities

Defect Detection: Identifies particles, scratches, pattern deviations, and contamination early in the process, minimizing scrap and protecting downstream steps.

Cost-Effectiveness and Versatility: Traditional inspection equipment is expensive and bulky; AI Validator offers exceptional value by being cost effective and deployable in various environments. 

Continuous Self-Learning: AI Validator's self-learning capabilities enable it to continuously improve its performance over time, adapting to new products and defect patterns without requiring manual programming or vendor intervention.

Seamless Integration: AI Validator seamlessly integrates with existing enterprise applications and solutions through an API allowing users to develop fully automated test solutions that are specific to their needs.

Benefits for Semiconductor Fabs

Boost Yield: Early detection prevents defective wafers from moving forward.

Lower Cost of Ownership: Replaces bulky, expensive legacy inspection equipment with a compact, flexible solution. 

Process Reliability: Ensures contamination and surface irregularities are flagged before they impact device performance.

Scalability: Deployable across front-end and back-end packaging and test environments.

About AI Validator

AI Validator leverages advanced object detection, defect classification, and real-time inference to help industries such as automotive, electronics, industrial manufacturing, aerospace, and energy improve inspection accuracy, reduce errors, and boost first-pass yield. The platform can be deployed on-premises, in the cloud, or at the edge, supporting both mobile devices and fixed-camera setups for maximum flexibility.

For more information on AI Validator and Averian’s AI solutions, visit: averian.io

Averian, a leader in AI-powered quality assurance and inspection solutions, today announced a series of major new enhancements to its AI Validator platform. These features expand scalability, integration, and deployment flexibility to provide a streamlined process for manufacturers and enterprises to leverage advanced AI-driven inspection in real-world operations.

AI Validator is a versatile solution that brings intelligence to visual inspection, defect detection, and task completion. By combining advanced AI and computer vision, AI Validator enables real-time, accurate inspection across diverse manufacturing environments. The new enhancements significantly extend the platform’s capabilities:

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New Enhancements in AI Validator

Microsoft Windows Support
AI Validator now supports installation on Microsoft Windows, in addition to macOS and Linux. The expanded compatibility gives IT teams greater flexibility and simplifies deployment within existing enterprise environments.

Multi-Worker Horizontal Scalability for On-Prem Deployment
AI Validator now supports horizontal scalability, allowing enterprises to increase inspection capacity by adding more Validator nodes to the same deployment. Much like adding additional workers to a production line, each node boosts throughput while working seamlessly as part of a unified, integrated system. This ensures manufacturers can scale capacity efficiently across parallel inspections or multiple processes.

API for Workflow Integration
With the introduction of a powerful API, AI Validator can now be tightly integrated into existing manufacturing execution systems (MES), automated test environments, and custom workflows. This allows organizations to easily embed AI Validator directly into day-to-day production processes, streamlining operations and ensuring consistency at scale.

“AI Validator continues to evolve to meet the needs of modern manufacturers,” said Taimoor Nawab, CEO at Averian. “With horizontal scalability, a new API for integration, and Windows support, we’re making it easier than ever for organizations to adopt AI-powered inspection and scale it across operations. These enhancements deliver measurable efficiency, accuracy, and adaptability, essential for today’s competitive environment.”

About AI Validator

AI Validator leverages advanced object detection, defect classification, and real-time inference to help industries such as automotive, electronics, industrial manufacturing, aerospace, and energy improve inspection accuracy, reduce errors, and boost first-pass yield. The platform can be deployed on-premises, in the cloud, or at the edge, supporting both mobile devices and fixed-camera setups for maximum flexibility.

For more information on AI Validator and Averian’s AI solutions, visit: averian.io

In this exclusive interview with CanadianSME Small Business Magazine, Taimoor Nawab , CEO of Averian, shares his hands-on approach to making AI technology accessible and practical for small and medium-sized businesses. With a global team of engineers and a focus on real-world applications, Taimoor emphasizes the importance of solving specific business problems with scalable AI solutions rather than chasing hype. He discusses how Averian helps clients across industries enhance efficiency, reduce costs, and boost productivity by embedding AI into daily operations. Offering valuable advice on partnering effectively and prioritizing impact, Taimoor provides a roadmap for SMBs ready to innovate confidently in today’s fast-paced tech landscape.

Taimoor Nawab is the CEO of Averian, a global provider of AI-powered solutions and software development services. Taimoor brings deep experience in scaling technology businesses into profitable, sustainable organizations with a focus on delivering complex, real-world product solutions. As a practical technologist, he’s passionate about applying AI where it counts, solving hard problems and helping companies turn innovation into measurable impact.

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Averian has established itself as a global leader in delivering AI and software solutions across a variety of industries. What unique challenges do small and medium-sized businesses (SMBs) face when adopting AI, and how does Averian tailor its approach to help them overcome these hurdles?

One of the biggest challenges SMBs face is that AI often feels like a buzzword. Most small businesses don’t need research; they need a solution that works. At Averian, that’s our goal. We focus on embedding AI into real workflows—whether it’s automating quality checks, improving customer support, or analyzing data to boost efficiency.

We focus on being practical. Our domain expertise, and knowledge of tools already available, means we don’t necessarily have to start from scratch every time. That allows us to move faster, reduce cost, and focus on real ROI. For SMBs, it’s not about having the most complex solution—it’s about solving a specific problem in a reliable, scalable way.

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With over 100 engineers spanning North America and Europe, Averian emphasizes both innovation and efficiency. Can you share a recent example where your team’s expertise led to a transformative outcome for an SMB client? What lessons can other businesses draw from this experience?

One example that stands out is a project we delivered for a mid-sized manufacturing client. They needed a visual inspection system to detect defects on their assembly line. Traditional systems were too rigid and expensive, and they didn’t have the in-house AI expertise.

We deployed our AI Validator solution, a tool we developed in-house, to provide real-time anomaly detection. The result was a flexible inspection tool that integrated with their existing systems, cut error rates dramatically, and paid for itself within months.

You don’t need to reinvent the wheel. Find a partner who understands your industry, speaks your language, and can bring solutions that can be deployed.

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Averian’s offerings range from embedded systems to manufacturing solutions and intelligent  applications. Which emerging technology do you believe holds the greatest potential for SMBs in the next few years, and why?

AI is no longer just for big tech firms, it’s becoming essential for businesses of every size, especially for SMBs. For SMBs, the biggest opportunity lies in applying AI to improve execution, not replace what they currently have – It’s sometimes a misconception.  

Whether it’s using machine learning to spot quality issues, analyzing data to make faster decisions, or automating repetitive tasks, AI can improve your execution in almost every area.

What’s exciting is how accessible it is now. You don’t need to build models from scratch or hire a research team. You just need to be clear on the problem you want to solve. 80% of the challenge is how to develop a solution to leverage AI and solve the problem at hand.

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Finally, what message or piece of advice would you like to share with CanadianSME readers who are striving to innovate and grow their businesses in today’s rapidly evolving tech landscape?

Innovation doesn’t have to mean a complete transformation on day one. The most successful projects we’ve seen begin with a focused challenge and grow from there. Many of our larger projects started of as small engagements where we built trust, solved a real problem, and then grew our collaboration together.

Secondly, Focus on impact. Ask yourself: Will this solve a problem my team has today? If the answer is yes, then the tech, whether it’s AI, automation, or something else, becomes a tool.

Lastly, work with partners who listen. That’s a big one. Too many companies are selling “solutions” before understanding the problem. At Averian, we work hard to be the opposite of that.

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As we look towards 2025 and beyond, what advice would you offer Canadian SMBs considering adopting AI technologies or outsourcing projects to enhance their competitiveness?

AI adoption isn’t an all-or-nothing decision. The most competitive SMBs we see are the ones willing to move fast on small, well-scoped initiatives that solve real problems.

When it comes to AI, focus on practical use cases that can impact your bottom line. Things like automating manual reviews, optimizing logistics, helping your staff with predictive analytics, or improving customer experience with smarter insights.

As for outsourcing, it’s not just about cost-saving. It’s about accessing the right expertise quickly. At Averian, our clients count on us to bring deep domain knowledge, move fast, and augment their internal teams where it makes sense. The right partner should feel like an extension of your business, not a handoff.

Challenge to Solution: How Averian Supports SMBs with AI and Software Expertise

For more information, visit: averian.io

About Averian
Averian is a global software development and engineering services company specializing in AI, embedded systems, and custom applications. With offices in North America and Europe, Averian supports clients in telecom, automotive, industrial, and med-tech sectors with innovative solutions designed for performance, scalability, and real-world impact.

Ottawa, Ontario, CANADA – May 5, 2025 – Arvizio, a long-standing provider of innovative software solutions, has officially rebranded as Averian, marking a strategic shift as the company expands its focus on AI-driven technologies and custom software development services.

Headquartered in Ottawa with operations across North America and Europe, Averian is positioned to deliver high-quality, scalable solutions tailored to the evolving needs of clients in the automotive, telecommunications, industrial, med-tech, and IoT sectors

The rebrand is supported by a significant investment from AUG Global, bringing both capital and approximately 100 skilled professionals into the organization. This investment strengthens Averian’s global delivery capabilities and deepens its expertise in delivering end-to-end AI and software development services..

“Rebranding as Averian reflects our continued focus on innovation, client success, and global growth,” said Taimoor Nawab, CEO of Averian. “With AUG Global’s support, we are better positioned to continue to serve our clients with tailored, high-impact services that drive real business value.”

Averian’s expanded service offerings include:

• Artificial Intelligence, Machine Learning & Data Engineering – Development of customized enterprise solutions that leverage AI to address specific business challenges and deliver measurable ROI.
  
• System & Embedded Software Development – Design, development, and integration of reliable, high-performance software for automotive, telecom, med-tech, and industrial applications.
  
• AI Validator – An advanced AI-based visual inspection tool that automates defect detection, improves quality control, and reduces operational costs.
  
• Application Software Development – Full-cycle development of enterprise, mobile, cloud, SaaS, and IoT applications, including seamless integration into client environments.
  
• AR/VR – Spatial Computing, Augmented and virtual reality solutions that support interactive design, training, and visualization needs.
  
• Test Development for Manufacturing – Creation of functional and system-level test solutions that enhance test efficiency, coverage, and cost-effectiveness, including AI-powered inspection tools.

With a team of more than 100 engineers and specialists, Averian combines deep technical expertise with industry-specific knowledge to deliver agile, scalable, and future-ready solutions and services.

Alex Ousach, Chairman of AUG Global, commented: “Our investment in Averian reflects our confidence in their ability to deliver advanced AI and custom software services across critical industries. We’re excited to support their continued growth and innovation.”

The partnership with AUG Global allows Averian to further scale its services and support a growing global customer base, particularly in fast-moving and innovation-driven industries.

For more information, visit: averian.io

About Averian
Averian is a global software development and engineering services company specializing in AI, embedded systems, and custom applications. With offices in North America and Europe, Averian supports clients in telecom, automotive, industrial, and med-tech sectors with innovative solutions designed for performance, scalability, and real-world impact.