logo
SideFX announces new partnership designed to transform synthetic data for AI

SideFX announces new partnership designed to transform synthetic data for AI

Tahawul Tech22-04-2025

Endava, has announced its strategic partnership with SideFX, a leading developer of Houdini 3D procedural animation and visual effects software, to revolutionise the creation and deployment of synthetic data for artificial intelligence (AI) and machine learning (ML) applications within the field of Computer Vision.
Through this partnership, artists and developers will benefit from the ability to generate highly varied and realistic data sets in Houdini with pixel-perfect ground truth annotations that mimic complex real-world environments.
This is particularly crucial for fields like manufacturing line inspection, autonomous vehicle training and other advanced simulations, where precision and realism are key to innovation.
Synthetic data is crafted by skilled artists using visual effects tools to simulate realistic, high-quality images and environments. Visual synthetic data, which refers to images, videos, and 3D model data, is useful for scenarios where it's impractical, complex or simply impossible for humans to accurately and efficiently label or annotate real world images.
Synthetic data is at the intersection of visual effects and data science, combining technical artistry with machine learning expertise to unlock AI-driven capabilities for understanding visual information.
The partnership combines Endava's ability to generate high-quality synthetic data and expertise in building production-ready machine learning models with SideFX's renowned VFX software suite for simulation and procedural content creation.
At the core of this partnership is the mutual commitment to empowering teams that build AI-powered computer vision. It is set to provide more accessible, efficient and scalable workflows, allowing artists, developers, and data scientists to maximize the effectiveness of synthetic data solutions.
Originally developed by the AI Vision team at Endava, SideFX Labs is now publishing a suite of tools designed to generate dataset variations and annotations suitable for training Computer Vision scenarios.
Judith Crow, VP Strategic Partnerships at SideFX, said: 'Endava's robust synthetic data expertise will help us work even closer with studios who turn to Houdini to tackle their computer vision production challenges. As we continue to build on the foundation of Endava's synthetic data tools, artists will be more efficient in creating training datasets through a standardized framework that seamlessly integrates into existing workflows.'
'This collaboration with Endava not only makes sense on a technical level, but it is closely aligned with our ethos and core values. Balancing innovation with integrity is an essential part of what we do and Endava's customer-centric vision helps us empower artists and revolutionise the world of visual simulation and visualization together.'
Jon Hanzelka, Global SVP & Head of Synthetic Data at Endava, said: 'Artists continue to play a critical role in the advancement of AI and machine learning. The ability to create realistic, high-quality synthetic data is directly tied to their skills and expertise in content creation, proceduralism, and simulation. Given these skills are essential to building better machine learning models, it's important that artists feel empowered to contribute directly to the development of production-ready AI systems, and have the right tools and to do so. Working with SideFX on making this a reality is equally exciting and rewarding.'

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

The future of search: Why Location Bank matters in the age of AI?
The future of search: Why Location Bank matters in the age of AI?

Zawya

timean hour ago

  • Zawya

The future of search: Why Location Bank matters in the age of AI?

With the explosive rise of AI-driven assistants like ChatGPT, Siri, Alexa, and Google Assistant the way people search is fundamentally changing. Traditional typed searches are giving way to voice commands, conversational queries, and intelligent prompts. But, when it comes to location based searches (or prompts), behind this shiny new interface lies something essential: the same old data. Whether someone asks Siri 'Where can i find a good burger in Rosebank' or types a query into an AI chat window, these platforms don't invent answers from thin air. They pull from structured, trusted data sources like Google Maps, Bing, Apple Maps, and more. And if your brand's location data isn't present, accurate, and consistent across these sources, you're invisible in this new AI-powered world. 'The future of search may look different on the surface but under the hood, it still depends on one thing: clean, trusted data,' said Neil Clarence, Co-founder of Location Bank. 'That's where we come in.' Welcome to the new search ecosystem The future of search is layered, decentralised, and intelligent but every layer still depends on accurate data. Here's how: - ChatGPT pulls data through Bing → Location Bank integrates directly with Bing - ChatGPT pulls data from a brands store locator - Location Bank powers these with consistent data. - Siri now taps into ChatGPT + Apple Maps → Location Bank supports both. - Google Assistant relies on Google Maps → Location Bank publishes to it natively. Location Bank. (2025). Store Locator As AI platforms scrape and learn from massive amounts of third-party data, the quality and consistency of your business's location presence has never mattered more. Why Location Bank is now critical infrastructure Location Bank ensures that your business is published correctly: name, address, phone number, hours, categories, and more across a powerful network of digital endpoints. This includes Google, Bing, Meta, Apple Maps, TomTom, Here, and in-car navigation systems. Here's what that means in practice: - If a customer asks Siri 'Where can I find a good burger in Rosebank?" you show up because your data is there on Apple Maps. - If a user asks ChatGPT 'Where can i find a good burger in Rosebank? and ChatGPT leans on Bing, you show up because your data was indexed. - If someone uses Google Assistant, your business is found because your details are perfectly synced with Google Maps. Even as consumer search habits change, your discoverability doesn't - because you are present where AI learns. The trust factor in an AI world AI systems are trained to prioritise accuracy, authority, and consistency. When your business details vary across platforms or worse, don't exist at all AI deprioritises you in favor of more reliable sources. Inconsistent data confuses search engines, but it completely disqualifies you from intelligent agents that rely on trustworthy signals. That's why uniform, verified, and up-to-date location data is no longer just a local SEO best practice - it's a foundational strategy for AI-era visibility. 'In the age of AI, your discoverability is determined by the quality of your data,' added Neil Clarence. 'We don't just publish your locations, we make them findable, verifiable, and trustworthy across every digital touchpoint.' AI might be transforming how people search but it still relies on structured data to deliver results. Location Bank helps ensure that your business isn't just listed, but trusted, synced, and ready for discovery no matter how or where consumers search. In the era of AI, your visibility will be shaped by your data. Location Bank makes sure your data is everywhere it needs to be. About Location Bank Location Bank is a leading MarTech platform that enables brands to centrally manage and sync their digital location data across key digital platforms. By delivering consistent, verified business information at scale, Location Bank helps brands enhance discoverability, build trust, and thrive in an AI-first digital landscape.

Google is going ‘all in' on AI. It's part of a troubling trend in big tech
Google is going ‘all in' on AI. It's part of a troubling trend in big tech

Zawya

timean hour ago

  • Zawya

Google is going ‘all in' on AI. It's part of a troubling trend in big tech

Google recently unveiled the next phase of its artificial intelligence (AI) journey: 'AI mode'. This new feature will soon be released as a new option to users of Google's search engine in the United States, with no timeline yet for the rest of the world. The company says it will be akin to having a conversation with an expert well versed on a wide range of topics. This is just one of many steps Google is taking in pursuit of its 'all-in' approach to AI. The 'all-in' approach extends beyond just integrating the technology into different applications. Google is providing products all along the AI supply chain – a process known as 'vertical integration' – housing everything from AI computer chips through to the user interfaces we interact with on a daily basis, such as Google maps or Gmail. Google isn't the only AI company with ambitions of vertical integration. For example, OpenAI recently acquired a hardware startup co-founded by Apple's Jony Ive, which will centralise hardware development within the company. Amazon is taking similar steps. It owns cloud computing platforms, custom chips, device plans and is incorporating more AI services into products. This may be the beginning of a trend of vertical integration across big tech. And it could have significant implications for users and companies alike. The AI 'tech stack' Hardware, software, data sources, databases and servers are some of the layers that make up what is commonly referred to as the 'AI tech stack'. There are four main layers to Google's evolving vertical tech stack: 1. Hardware layer. Google develops its own AI chips, known as tensor processing units (TPUs). The company claims these chips provide superior performance and efficiency compared to general purpose processors. 2. Infrastructure layer. The company uses its own cloud infrastructure to source its computing power, networking and storage requirements. This infrastructure is the foundation for running and scaling AI capabilities. 3. Model development layer. In-house research capabilities are used to drive the development of their products and services. This includes research around machine learning, robotics, language models and computer vision. 4. Data layer. Data is constantly sourced from users across all Google platforms, including its search engine, maps and email. Data collection is a condition of using any Google application. Some argue vertical integration is an optimal and cost-effective business strategy in many industries, not just tech. However, the realities of this set-up prove otherwise. Fuelling power imbalances Google and OpenAI are two of just a handful of companies which dominate the global technology market. Thanks to this market dominance, these companies can charge higher markups for their goods and services and abuse practices in online advertising. Vertical integration further skews this power imbalance by centralising the layers of the AI tech stack to one company. A distribution of hardware, infrastructure, research and development and data across multiple industries helps support a more equitable playing field across the industry. The loss of this equity creates greater barriers to entry for smaller companies as the larger conglomerates keep everything in-house. It also reduces incentives to innovate in ways that benefit consumers because it eliminates the business competition that usually drives innovation. Data is often described as the new gold. This is especially true in the case of AI, which is heavily reliant on data. Through its many platforms, Google has access to a continuous stream of data. In turn, this gives the company even more power in the industry. The vulnerabilities of vertical integration The success of a company that is vertically integrated relies on housing the best knowledge and expertise in-house. Retaining this level of resourcing within a small handful of companies can lead to knowledge and expertise hoarding. Research shows knowledge and expertise hoarding reduces social learning and increases disparities between 'winners' and 'losers' in a given market. This creates an overall vulnerable industry because net gains are lost in the pursuit of exclusivity. Exclusivity also breeds a lack of resilience. That's because the points of failure are centralised. Risk is better managed with additional oversight, transparency and accountability. Collaborations across industry rely on these processes to work together effectively. Centralising the AI tech stack within one organisation eliminates external scrutiny, because it reduces interactions with external providers of products and services. In turn this can lead to a company behaving in a more risky manner. Regulatory bodies can also provide external scrutiny. However, the current push to deregulate AI is widening the gap between technology development and regulation. It is also allowing for big tech companies to become increasingly opaque. A lack of transparency raises issues about organisational practices; in the context of AI, practices around data are of particular concern. The trend towards vertical integration in the AI sector will further increase this opacity and heighten existing issues around transparency.

Best photos of June 5: From new Indian recruits in Kashmir to dawn prayers on Mount Arafat
Best photos of June 5: From new Indian recruits in Kashmir to dawn prayers on Mount Arafat

The National

time2 hours ago

  • The National

Best photos of June 5: From new Indian recruits in Kashmir to dawn prayers on Mount Arafat

• Increase defence spending to 2.5% of GDP by 2027 but given 'turbulent times it may be necessary to go faster' • Prioritise a shift towards working with AI and autonomous systems • Invest in the resilience of military space systems. • Number of active reserves should be increased by 20% • More F-35 fighter jets required in the next decade • New 'hybrid Navy' with AUKUS submarines and autonomous vessels

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store