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Team & Mission

Why Visonic AI exists

Visonic AI is being built by a team spanning machine learning, product, accessibility, and commercial delivery.

We believe long-form video understanding is the missing layer between generic multimodal AI demos and production-grade media workflows. We started with audio description because it is both commercially urgent and technically demanding, then expanded into summarisation and short-form generation from the same core understanding stack.

What the team is building and why it matters

Serious long-form video understanding

Short clips and isolated captions are not enough for real media workflows. Long-form tasks such as audio description, episode packaging, and short-form generation all depend on narrative context carried across the full title.

A team that spans technology and deployment

The founding team combines research and engineering depth with product, accessibility, and customer-facing experience. That mix is essential when the job is not just to build models, but to build a workflow the market can actually use.

One technical base, multiple workflows

Audio description was the first high-pressure workflow, but the same foundation now supports Auto Summarisation and is expanding into Auto Shorts. That matters because the platform grows from real workflow adjacency, not from random feature sprawl.

Meet the team

Ari Surana

Ari Surana

Founder and Technology Lead


Ari is a seasoned technologist and engineer with a proven track record of building high-performance machine learning systems across enterprise software, ecommerce, media, and geospatial intelligence.


Before founding Visonic AI, he led AI application work at Atlassian, BigCommerce, and Nearmap, with a particular focus on large datasets, robust AI infrastructure, and production-grade computer vision systems.


Aditi Raheja

Aditi Raheja

Co-Founder and Product Lead


Aditi has more than 15 years of experience across product marketing, customer engagement, and operational leadership in both the private and public sector.


She has delivered more than $800M in product revenue and focuses on translating technical capability into clear market value for teams, operators, and accessibility stakeholders.


Daniel Suess

Daniel Suess

Co-Founder and R&D Lead


Daniel has spent years building AI products at leading Australian companies, with hands-on experience taking computer vision systems from research to deployed products.


His work spans television, retail, and asset management, and he brings deep technical judgment to long-form video understanding, model evaluation, and multimodal system design.


Virendra Raheja

Virendra Raheja

Co-Founder and Customer Success Lead


Viren has more than 47 years of experience across Australia, the United States, Europe, India, and the Middle East, with a long track record of turning complex technology into commercially viable products.


His background in accessibility technology, product leadership, and customer-facing delivery grounds Visonic AI in practical deployment, trust, and workflow fit.


Questions about the team behind Visonic AI

Who is behind Visonic AI?

A founding team spanning machine learning, computer vision, product, accessibility, enterprise software, and media operations. We built Visonic AI because audio description requires both cutting-edge AI and deep understanding of how media delivery actually works.

Why does the team have credibility in AI audio description?

The team brings experience from large-scale AI and software environments combined with hands-on accessibility-market knowledge — a combination that is rare in this space.

Why did Visonic AI start with audio description?

Audio description is one of the most technically demanding problems in media accessibility. It requires narrative understanding, character tracking, timing precision, and delivery-ready output. Solving it well created the right foundation for broader long-form video workflows such as summarisation, metadata packaging, and short-form generation.

Is Visonic AI only about accessibility?

Accessibility is where the company started and remains a major part of the platform, but Visonic AI is not only about accessibility. The same long-form video understanding stack now powers Auto Summarisation and is expanding into Auto Shorts.

What experience does the Visonic AI team bring?

Machine learning, computer vision, product leadership, enterprise software, accessibility workflows, and hands-on media operations. We have built production systems before, and we understand the gap between a demo and a deployable product.

Where is this market heading?

The industry is moving from manual, project-by-project vendor workflows toward automated platforms that can handle serious production tasks at scale. Accessibility is one of the clearest early shifts, but metadata packaging, multilingual summaries, and short-form repurposing are moving in the same direction.

See it in action

Start with the workflow that matches your team: accessibility, metadata packaging, or short-form generation.