AMD Ventures

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

Lamini enables companies to develop, fine-tune, train, and deploy large language models (LLMs) tailored to their needs. The platform allows businesses to leverage their proprietary data to create customized GenAI capabilities on a secure basis on-premise or via public cloud. The company runs many of its models on AMD Instinct GPUs (MI300s and MI250s) while offering the NVIDIA H100 GPU.Lamini differentiates itself from competitors via its “memory tuning” technique, which trains models on data to recall parts of that data exactly. The company claims that the technique delivers over 95% accuracy in information recall.&nbsp;Lamini generates revenue on a pay-as-you-go scheme (USD 0.5 for 1 million tokens used and USD 1 per tuning step). The company also offers custom pricing for enterprises requiring a dedicated GPU cluster or a virtual private cloud (VPC). Key customers and partnershipsAs of September 2024, notable enterprises using Lamini’s platform included AMD, AngelList, and NordicTrack. As of May 2024, the platform was also used by several undisclosed government agencies.Key partnerships include Meta, which will improve LLaMa 3’s baseline performance by improving the quality of SQL queries (June 2024); Databricks, which will allow customers to train GenAI models using Databricks data (June 2023); and Mistral, which will allow Lamini customers to fine-tune the Mistral-7B model.

Scale AI is a company focused on developing platforms for training and validating data for AI applications, and claims to be the only full-stack GenAI platform for enterprises. Its product range includes Scale GenAI Platform, Scale Data Engine, and Scale Donovan.The Scale Generative AI Platform helps organizations create their GenAI models using their own data, while Scale Data Engine features tools for data collection, curation, labeling, and model evaluation and optimization, leveraging reinforced learning with human feedback (RLHF) to facilitate AI model construction.Finally, Scale Donovan is a specialized Federal AI platform that utilizes RLHF to provide rapid decision support for military operators, analysts, and decision-makers, helping them understand, plan, and act quickly in response to large volumes of diverse data,In <a href="https://sp-edge.com/updates/23675">November 2023 </a>, Scale AI introduced its AI Safety, Evaluations, and Analysis Lab (SEAL), which is dedicated to creating automated rating systems using LLMs, conducting studies on potential AI-related risks, and employing red-team techniques to ensure the safety and dependability of AI software.Scale AI stands out for its ability to manage the entire machine-learning lifecycle, providing an end-to-end solution for better AI data management, leading to more performant models and faster deployment​​​​.Key customers and partnershipsThe company’s services are utilized across various sectors, such as retail and ecommerce, defense, logistics, autonomous vehicles, and robotics. Prominent Scale AI customers include the US Department of Defense, US Air Force, Meta, Microsoft, Open AI, Cohere, Anthropic, General Motors, Toyota Research Institute, Brex, Instacart, and Flexport.Notably, Scale AI partnered with the US Department of Defense in&nbsp;<a href="https://sp-edge.com/updates/26790">February 2024</a> to develop a thorough testing and evaluation (T&amp;E) framework for the controlled use of LLMs in its department. Earlier in&nbsp;<a href="https://sp-edge.com/updates/21280">August 2023</a>, the company collaborated with OpenAI to offer fine-tuning capabilities for OpenAI's GPT-3.5, enabling Scale's customers to utilize their proprietary data through the Scale Data Engine platform to customize GPT-3.5 for their specific business needs. In&nbsp;<a href="https://sp-edge.com/updates/23978">November 2023</a>, Scale AI partnered with Microsoft to provide its Platform on Microsoft Azure.&nbsp;

Property owners and real estate companies are able to handle larger portfolios while offering faster and cheaper services.

Residential PropTech

<div>
 
 Matterport is a leading provider of all-in-one 3D data platforms that can make digital twin copies of a real-world place (room, building, or outdoor space) or object. The platform can be used to design, build, operate, and understand any space. The technology is currently available to many industries, including the real-estate sector. According to the company, thousands of businesses across more than 130 countries have used Matterport, including large enterprises as well as startups. In February 2024, Matterport launched 
 <a href="https://sp-edge.com/updates/26675">
 Property Intelligence
 </a>
 , an AI-powered tool that allows users to automate measurements, layouts, and editing, with reporting capabilities generated from a Matterport digital twin of their property.
 
 
 In the real-estate sector, Matterport enables companies to scan properties they list and provide a digital copy to their clients. By just clicking the links, clients can walk through the houses to see every little detail at any time. Its clients include Coldwell Banker, Sotheby&rsquo;s International Realty, and Redfin.
 
 
 Matterport offers a range of plans to suit different needs and budgets. The Free Plan costs USD 0 per month and allows one Active Space and two Users. For those requiring more capacity, the Starter Plan is priced at USD 12 per month, providing 5&ndash;20 Active Spaces and three Users. The Professional Plan at USD 65 per month increases the limit to 20&ndash;150 Active Spaces and 10 Users. For larger operations, the Business Plan is available at USD 321 per month, offering 100&ndash;300 Active Spaces and 50 Users.
 
 
 In May 2024, the company launched a tool for select enterprise customers to measure avoided carbon emissions by using its digital twin platform instead of traveling for on-site inspections. The tool calculates savings based on factors like digital spaces created and site visits, with reports tailored to different uses such as marketing or construction. Matterport claims this helps businesses track sustainability benefits and support environmental goals.
 
 
 In January 2022, Matterport acquired Enview, an AI-based 3D spatial data analytics platform. Through this acquisition Matterport was to leverage Enview&rsquo;s technology to support the development of its spatial data analytics platform which would be capable of providing insights and business intel by optimizing operations and management on any physical space. The company also acquired real estate marketing platform 
 <a href="https://sp-edge.com/updates/11509?industryIds=37">
 VHT Studios
 </a>
 in June 2022. This was done in order to integrate VHT Studios&rsquo; digital marketing services into Matterport's 3D digital twin technology and expand its product offerings to enter other verticals such as commercial real estate, travel and hospitality, and the retail sector.
 
 
 In July 2021, Matterport merged with the special-purpose acquisition company (SPAC) Gores Holding VI at an equity valuation of USD 2.9 billion. As part of the transaction, the company received approximately USD 605 million in cash (net of fees) including around USD 310 million (net of redemptions) from the SPAC and USD 295 million in additional financing led by investors Tiger Global Management, Senator Investment Group, and Dragoneer Investment Group.&nbsp;
 
 
 In April 2024, Matterport 
 <a href="https://sp-edge.com/updates/28692">
 entered into a definitive agreement
 </a>
 to be acquired by CoStar Group in a cash and stock transaction valued at USD 5.50 per share, comprising an equity value of nearly USD 2.1 billion and an enterprise value of approximately USD 1.6 billion based on the closing price for CoStar Group common stock on April 19, 2024.
 
 
 Matterport reported total revenue of USD 157.7 million for FY2023 (up 16% YoY), compared to total revenue of USD 136.1 million recorded in FY2022. Despite this, the company incurred a non-GAAP net loss of USD 65.8 million for FY2023, compared to a non-GAAP net loss of USD 116.7 million in FY2022. For FY2024, Matterport expects to generate total revenue in the range of USD 173 million &ndash; 183 million (implying a YoY growth of 19%&ndash;22%).&nbsp;
 
 
 Key customers and partnership
 
 
 In June 2023, Matterport 
 <a href="https://sp-edge.com/updates/19236">
 partnered with CompuSoluciones,
 </a>
 a Mexico-based technological solutions distributor for companies, to utilize its sales teams to enter and distribute its digital twin platform, Pro3 and Pro2 cameras targeted at SMEs, and other enterprises within Mexico and Colombia.
 
 
 In June 2024, Matterport partnered with FBS, the owner of the Flexmls platform, to enhance MLS listing processes. This partnership allows Flexmls users to easily upload Matterport digital twins and automatically populate property details like room names and dimensions into their listings, saving time, reducing errors, and providing more accurate property data for real estate professionals and buyers.
 
</div>

Technologies bringing about a new reality

Extended Reality

<div>
 
 Matterport is a spatial data company that focuses on digitizing and indexing real-world spaces and structures. Its product offering enables users to create any space into an interactive 3D version, which can then be used to design, build, operate, promote, and better understand the space. Matterport&rsquo;s offering has applications in a wide range of industries including real estate, 3D photography, retail, travel &amp; hospitality, homeowners, insurance, construction, and facilities management. Matterport&rsquo;s spatial data capturing solutions include an iOS and Android app that lets users capture spaces with their smartphones freehand or using its phone mount (&ldquo;Matterport Axis&rdquo;) and a selection of cameras with varying degrees of dimensional accuracy and image quality. The company also provides the option to directly hire technicians to capture spatial data. 
 
 
 The company also offers an AI platform (named Cortex) that transforms scanned data into interactive 3D models and blurs out any human faces. Users can then edit, add, modify, embed content, and annotate the spaces accordingly to create videos and guided tours and publish them to social media, email, websites, or Google Street View, VRBO, Realtor.com, and other platforms. The platform&rsquo;s measurement mode also allows users to take accurate measurements within the 3D model. Furthermore, Matterport&rsquo;s APIs and SDKs can be used to build custom apps and create new 3D experiences.
 
 
 As of December 2022, the company had 590 employees across its 6 global offices and had a customer base of ~700,000 subscribers spanning 150+ countries. Matterport operates a subscription-based model for its platform, with a free-to-use version, two paid plans priced at USD 10 and 70 per month, and a custom enterprise plan.
 
 
 The company&rsquo;s strategic acquisitions include Enview (January 2022), a 3D spatial analytics company, for USD 37 million. The acquisition is expected to accelerate the development of Matterport&rsquo;s spatial data analytics platform to optimize operations and management of physical spaces. Other acquisitions include Arraiy (July 2019), a startup that developed AI-based technologies to overlay digital content onto physically captured spaces in the film industry, and Virtual Walkthrough (July 2016), a UK-based startup that focused on virtual tours for commercial and residential properties.
 
 
 Funding and financials
 
 
 Matterport was listed on NASDAQ in July 2021 through a SPAC deal and raised USD 640 million in gross proceeds at a 2.9 billion valuation. In FY2023, revenue grew by 16% YoY to USD 157.7 million, although its net loss widened by 79% YoY to USD 199.1 million. The company forecasts revenue growth of 11% per annum from FY 2024-2026.
 
</div>

Digitizing the commercial real estate value chain

Commercial PropTech

<div>
 
 Matterport, founded in 2011, is a spatial data company that specializes in creating 3D digital twins of physical spaces. The company's proprietary technology enables the capture of dimensionally accurate, photorealistic virtual tours of properties using various camera technologies, including smartphones and its flagship LiDAR-based Pro3 camera. At the core of Matterport's offering is Cortex, an AI-powered software engine that automatically generates 3D digital twins and virtual tours while providing detailed property insights.
 
 
 
 
 As of 2024, Matterport has digitized over 12 million spaces across 177 countries, representing more than 38 billion square feet of digital property. The company's technology finds applications in multiple sectors, including residential and commercial real estate, hospitality, retail, and industrial spaces. Matterport's product lineup includes 3D cameras, the Matterport Capture mobile app, and a web-based platform for managing and sharing 3D models. In 2023, Matterport reported revenue of USD 158 million, representing a 16% year-over-year growth.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 Matterport's technology has been adopted by various industries, with real estate being a primary focus. CoStar Group, a major player in online real estate marketplaces, features nearly 300,000 Matterport digital twins across its platforms, including Apartments.com, LoopNet, and Homes.com. In March 2024, Apartments.com recorded over 7.4 million views of Matterport 3D Tours, with users spending 20% more time on listings featuring these tours.
 
 
 
 
 Matterport has also established partnerships with companies in other sectors. In June 2024, the company announced a collaboration with FBS, a provider of Multiple Listing Service (MLS) technology, to integrate Matterport's 3D tours and property data into the Flexmls platform. This partnership aims to streamline the listing process for real estate professionals and enhance the home search experience for buyers.
 
</div>

Using AI to mimic and understand human language

Natural Language Processing Tools

Cohere is a Toronto-based artificial intelligence company founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst. The company specializes in developing large language models (LLMs) and natural language processing (NLP) tools for enterprise use. Cohere's technology enables businesses to generate text, analyze content, moderate discussions, and perform various language-related tasks through its API. The company's models are trained on vast amounts of data, including web pages and discussion boards, allowing them to understand and generate human-like text responses.
Cohere's product offerings include Command, a text generation module trained to answer business-related queries, and Embed, a contextual embedding model for extracting insights from unstructured data. The company also provides tools for content moderation, semantic search, and chatbots. Cohere differentiates itself by focusing on enterprise customers and emphasizing data privacy and security. Unlike some competitors, Cohere does not offer a consumer-facing chatbot, instead concentrating on providing AI solutions that can be integrated into businesses' existing systems.
The company has experienced rapid growth since its inception. As of March 2024, Cohere reported an annualized revenue of USD 35 million, up from USD 13 million the previous year. In June 2023, Cohere raised USD 270 million in a Series C funding round, and in July 2024, the company secured an additional USD 500 million in financing, valuing the company at USD 5.5 billion. Cohere has expanded its operations beyond Toronto, with offices in San Francisco, New York, and London.
Key customers and partnerships
Cohere has formed strategic partnerships with several major technology companies. In June 2023, Oracle announced a partnership with Cohere to develop generative AI services for organizations. The company also has partnerships with cloud providers, making its models available on multiple platforms including Amazon's SageMaker, Google Cloud, and Microsoft's Azure.
In February 2022, Cohere entered into a partnership with Google Cloud to use its supercomputing infrastructure. The company has also collaborated with Mila, the world's largest non-profit deep learning research institute, to expand research and accelerate accessibility to cutting-edge NLP tools. This partnership aims to develop the next generation of NLP toolkits and talent.

Using real-time data to create dynamic virtual representations of the real world

Digital Twin

Matterport provides all-in-one 3D data platforms that can make digital twin copies of a physical space (room, building, or outdoor space) or object. The platform can be used to design, build, operate, and understand any space, and can be used in many industries, including real estate, travel &amp; hospitality, and manufacturing. The company follows a subscription-based business model with monthly subscription prices ranging between USD 9.99 and USD 689, depending on the number of active models (i.e. spaces) that can be explored, edited, and shared.In September 2023, the company captured and restored a 2,000 year-old Aso Shrine in Japan, which collapsed in 2016 due to an earthquake, as a digital twin. Further in <a href="https://sp-edge.com/updates/31427">July 2024</a>, it achieved Amazon Web Services (AWS)&nbsp; IoT competency status.&nbsp;In January 2022, Matterport acquired Enview, enhancing its spatial data analytics platform for optimizing operations in physical spaces. In<a href="https://sp-edge.com/updates/11509?industryIds=37"> June 2022</a>, the company expanded its offerings by acquiring VHT Studios, integrating digital marketing services into its 3D digital twin technology to enter new industries.&nbsp;Matterport was listed on NASDAQ in July 2021 through a SPAC deal and raised USD 640 million in gross proceeds at a USD 2.9 billion valuation. However, in<a href="https://sp-edge.com/updates/28715"> April 2024</a>, the company was acquired by CoStart Group in a cash and stock transaction with an equity value of USD 2.1 billion. Matterport reported total revenue of USD 157.7 million for FY2023; however, the company incurred a non-GAAP net loss of USD 65.8 million for FY2023.Key customers and partnershipsAccording to the company, thousands of businesses across more than 150 countries have used Matterport, including large enterprises as well as startups. Its clients include Coldwell Banker, Sotheby’s International Realty, and Redfin.Matterport pursued strategic partnerships to drive its pipeline, expand its industry ecosystems, and explore new distribution channels to widen its global reach. The company entered into several key partnerships, including: 1)&nbsp;<a href="https://sp-edge.com/updates/30898">FBS</a> to streamline the property listing process with digital twin technology (June 2024); 2)&nbsp;<a href="https://sp-edge.com/updates/26226">Arcadus</a>, to offer a digital twin platform for the public sector (February 2024); 3) V<a href="https://sp-edge.com/updates/26449">isiting Media</a>, to enhance sales enablement for the hospitality sector (February 2024); 4)&nbsp;<a href="https://sp-edge.com/updates/23936">Belden</a>, to provide advanced connectivity solutions for facilities management (November 2023); 5)&nbsp;<a href="https://sp-edge.com/updates/21999">Procore Technologies</a>, to expand its platform’s ecosystem for design and construction management software services (September 2023); 6)&nbsp;<a href="https://sp-edge.com/updates/19980">Equinox Technologies</a>, to offer its digital twin platform in the Middle East, Africa, and Asia-Pacific regions (July 2023); 7)&nbsp;<a href="https://sp-edge.com/updates/19248">CompuSoluciones</a>, to expand its presence in Mexico and Colombia (June 2023); 8) AWS’s IoT,&nbsp;<a href="https://sp-edge.com/updates/17764">TwinMaker</a>, allowing Amazon’s customers to link real-time IoT data and create digital twins using Matterport's solution (April 2023); and 9)&nbsp;<a href="https://matterport.com/news/matterport-expands-platform-integrations-autodesk-construction-cloud-transform-complex-and">Autodesk</a>, to expand platform integrations with Autodesk Construction Cloud and subsequently became an Autodesk Premium Partner, (March and October 2023).

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Celestial AI is a Santa Clara-based company that has developed the Photonic Fabric, an optical interconnect technology platform for compute and memory in AI infrastructure. The company's proprietary technology uses light for data movement both within and between chips, aiming to address the challenges of increasing memory capacity and bandwidth requirements in advanced AI models.
Celestial AI's Photonic Fabric technology claims to deliver over 25x greater bandwidth and memory capacity while reducing latency and power consumption by up to 10x compared to existing copper and optical interconnect alternatives. The company's Memory Fabric offers tens of terabytes of optically scalable memory capacity, supporting current HBM3e and future HBM4 bandwidth and latency requirements. Their Compute Fabric enables clusters of hundreds of GPUs or AI accelerators to be optically interconnected with high bandwidth, low latency, and low energy consumption.
The company's technology is designed to be compatible with existing industry standards including CXL, PCIe, UCIe, JEDEC HBM, and proprietary electrical communication links. Celestial AI offers its Photonic Fabric optical interconnect technology and silicon-proven IP through a technology licensing program. Additionally, the company has developed the Orion AI accelerator, which harnesses the full end-to-end benefits of the Photonic Fabric.
Key customers and partnerships
Celestial AI has established partnerships with major semiconductor companies. In March 2024, Samsung Electronics and Advanced Micro Devices (AMD) participated in Celestial AI's Series C funding round, indicating potential strategic collaborations. The company has also mentioned working with high-volume commercial supply chain partners to build a robust Photonic Fabric ecosystem.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Scale AI provides a platform called Data Engine that collects, curates, and annotates data to train and evaluate AI/ML models, either by automatically leveraging AI or through human annotators. The company also offers solutions to augment real data or generate fully synthetic data based on rare or dangerous real-world scenarios. Scale AI offers the ability to deploy annotated data via APIs or direct download. It also offers features to fix model failures and data quality issues by computing performance metrics on ingested model predictions.Scale AI also provides a full-stack platform to customize, build, test, and deploy enterprise-ready GenAI applications, including foundational models from OpenAI, Anthropic, and Google. The platform also offers features to fine-tune models with enterprise data and its Data Engine.In addition, the company offers an AI safety lab called <a href="https://sp-edge.com/updates/23675">SEAL</a> (Safety, Evaluations, and Analysis Lab). SEAL focuses on developing automated rating systems based on LLMs, conducts research on potential AI harms, and utilizes red team methods to ensure the safety and reliability of AI software. Additionally, the lab helps enterprises and governments comply with AI standards and regulations.The company offers its data annotation services either as a fully-managed or a self-managed service, with pricing based on the type and volume of data (usage-based model).Key customers and partnershipsThe company’s notable customers include the US Department of Defense, US Air Force, Microsoft, Meta, Toyota, PayPal, Etsy, General Motors, and Pinterest.In <a href="https://sp-edge.com/updates/21279">August 2023</a>, Scale AI formed a partnership with <a href="https://sp-edge.com/companies/362567">OpenAI</a> to provide fine-tuning tools for the latter’s GPT-3.5 large language model, allowing its customers to develop tailored ML models for their unique business requirements. Moreover, the fine-tuned models will be reviewed by Scale’s human experts to ensure that it meets performance expectations and other safety and regulatory requirements.Funding and financialsIn May 2024, the company raised USD 1 billion in a <a href="https://sp-edge.com/updates/29644">Series F</a> funding round at a valuation of USD 13.8 billion. The fundraising was a mix of primary and secondary funding, led by Accel and featuring participation from prominent investors such as Amazon, Meta, Cisco, Intel, AMD, NVIDIA, Y Combinator, and Tiger Global Management, among others. It had planned to use the fresh capital to progress on its journey of becoming the primary data foundry for AI and to foster the production of frontier data.

Foundation Models

Cohere is a Canadian startup founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, with backgrounds in natural language processing and prior experience at Google Brain. The firm specializes in the development and deployment of large language models (LLMs) for various applications across enterprise and business use cases. Its foundation model, Cohere Command, is a large natural language text generation model with 52.4 billion parameters, focused on task-oriented dialogue, creating summarization, copywriting, dialogue extraction, and question answering.Cohere also provides Cohere Embed, a model designed to generate vector embeddings that capture the essence of text, improving capabilities in search, content moderation, and intent recognition. These embeddings help empower Cohere's multilingual customizable models, which can be fine-tuned to cater to specific use cases and industries. Additionally, Cohere ensures secure deployment options, including private cloud solutions, for added data security and privacy. In November 2023, Cohere unveiled <a href="https://sp-edge.com/updates/23446">Embed V3</a> with advanced capabilities in matching documents to queries, increasing the efficiency of retrieval augmented generation, and reducing the operational costs of LLM applications. In February 2024, the company introduced <a href="https://sp-edge.com/updates/26583">Aya,</a> an open-source LLM that supports 101 languages.According to Stanford University's HELM benchmarks, Cohere's Command model ranks among the highest-performing models available.In March 2024,<a href="https://sp-edge.com/updates/27502"> Cohere released an advanced language model, “Command-R,</a>” for enterprises. The model offers improved performance on retrieval augmented generation (RAG) and tool usage, with longer context windows of up to 128,000 tokens.In April 2024, <a href="https://sp-edge.com/updates/28198">the company released an advanced language model, Command R+</a>, for business applications. The model offers enhanced retrieval augmented generation (RAG) with citation, supports 10 business languages, and automates workflows. Additionally, <a href="https://sp-edge.com/updates/28463">Cohere also released Rerank 3,</a> a model designed to enhance enterprise search and RAG systems. In the same month, <a href="https://sp-edge.com/updates/28509">the company also introduced a private beta for Cohere Compass,</a> a foundation embedding model designed to allow multi-aspect data indexing and searching, and also <a href="https://sp-edge.com/updates/28789">launched a toolkit available for developers to build AI applications</a> faster, offering production-ready applications that can be deployed across cloud providers, with enhanced security and customization options.In May 2024, Cohere introduced <a href="https://sp-edge.com/updates/29350">Command R Fine-Tuning</a> for enhanced performance for business application workload and<a href="https://sp-edge.com/updates/29761"> released Aya 23, </a>a multilingual language model capable of handling 23 languages,available in 8 billion and 35 billion parameters.<a href="https://sp-edge.com/updates/34141">In September 2024</a>, Cohere released updated versions of its APIs for its AI models Chat, Embed, Rerank, and Classify. These updates, collectively called “API V2,” introduced several upgrades to its existing models, including mandatory model version specification in API calls, consolidation of input parameters for Chat API, and improved tool integration capabilities.&nbsp;Key customers and partnershipsIn November 2021, Cohere partnered with Google Cloud to leverage its infrastructure support and TPUs for product development and deployment. Cohere also partnered with other major cloud providers like AWS and Oracle.In March 2024,<a href="https://sp-edge.com/updates/27307"> Cohere partnered with consultancy firm Accenture</a> to integrate its Command model and retrieval augmented generation (RAG) capabilities to offer GenAI solutions for businesses.In April 2024, <a href="https://sp-edge.com/updates/28932">Cohere partnered with Amazon </a>to incorporate Command R+ and Command R to Amazon's cloud platform, Bedrock.In June 2024, the company<a href="https://sp-edge.com/updates/30492"> partnered with Borderless AI,</a> a provider of AI-powered HR solutions, to create tailored AI agents for HR tasks.The company entered into a <a href="https://sp-edge.com/updates/31052">strategic partnership with i-5O,</a> a provider of AI solutions for manufacturing, as part of Cohere's Startup Program and also partnered with <a href="https://sp-edge.com/updates/31590">Fujitsu</a> in July 2024 to develop a Japanese LLM.In September 2024, Cohere <a href="https://sp-edge.com/updates/33458">partnered with Nomura Research Institute (NRI)</a>, a Japanese consulting firm, to develop the NRI Financial AI Platform.

World Labs creates an AI platform for visual data processing that is similar to that of humans. The company specializes in developing advanced AI systems that operate within three-dimensional (3D) environments, both virtual and real-world. Their core service revolves around building Large World Models (LWMs), which allow AI to perceive, generate, and interact with the world in 3D space.

Cohere is a platform that gives developers and businesses access to NLP, powered by the innovative generation of large language models. Cohere is used to build machines that understand the world and make it safely accessible to all.

Radian Arc is a content delivery network (CDN) that sets up broadband services around the world to make it easier to send video or gaming data to consumers.

Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

Lamini is the Enterprise AI platform for Expert AI, enabling every enterprise to safely, quickly, and cost-effectively build their own Expert AI. The company has optimized LLM workloads for Expert AI on any infrastructure, from developer interfaces to GPU hardware optimizations with partners.

Celestial AI is a machine learning accelerator company developing an optical interconnect technology platform for data centers and AI solutions. It utilizes the advantages of photonics, mixed-signal ASICs, and advanced packaging to offer a sustainable improvement in computing performance that helps clients deliver superior AI acceleration hardware and software alternatives. The company's Photonic FabricTM provides the foundational technology for optically scalable, disaggregated data center computing and memory to unleash advancements in AI with sustainable and profitable business models.

Developing an Ethernet system sophisticated enough to process the bandwidth demands of the future requires expert integration at multiple levels. By unifying the vehicle network, the Ethernovia system has the power to dramatically alter how cars are designed and built.

InContext is an application which automatically organizes your digital life. InContext analyzes the data and relationships from your applications (e.g. mail, contacts, calendar, Evernote, Dropbox/Google drive, desktop folders), organizes it by topic and presents related items in one contextual view ‐ “InContext.'' Contexts are “virtual smart folders” which are always up‐to‐date with all the most relevant items in your projects. Breaking down app silos, Contexts help you save time, be prepared, stay organized and find what you need in an instant. InContext organizes your data the way you naturally would – by topic. InContext is the natural way to interact with your digital device. Beyond personal productivity and organization, Contexts help with collaboration. Users will be able to share complete Contexts with co‐workers.

Matterport is a spatial data firm dedicated to digitizing and indexing the built environment. Its all-in-one 3D data platform allows anyone to transform a location into an exact and immersive digital twin that can be used to design, develop, operate, promote, and comprehend any environment.

Aviary is a photo-editing platform built to ignite creative freedom. Its imaginative tools empower millions of people all over the world to freely express themselves through imagery.  Headquartered in New York City, Aviary powers thousands of mobile applications, including its self-titled iOS and Android apps, and has been used to edit billions of images. By combining an intuitive editing experience with an ever-expanding collection of creative content - including custom photo filters, frames, graphics, and overlays - the platform serves as an imaginative canvas for everyday content creators and professional photographers alike.  The cornerstone of the Aviary platform is a free SDK that provides developers with a robust, customizable photo editor that can be effortlessly embedded into apps on iOS, Android, Windows and Web (HTML5).  The company was founded in 2007 to put professional-quality photo editing tools within thumbs-reach of everyone on the planet. Aviary has since received more than $19 million in funding from top-tier investors such as Spark Capital and Bezos Expeditions. For more information, visit aviary.com.

Personify specializes in the fields of presentations, software, and videos. Personify uses technologies in computer vision to develop fresh and immersive video experiences. These experiences facilitate real and meaningful connections with everyone, everywhere. It was founded in 2009 and headquartered in Chicago, Illinois.

Through AMD Ventures, AMD’s investment program, AMD invests in strategic software and application ecosystem companies that serve large and growing markets.  AMD’s product strategy synergistically combines both CPU and GPU technology to create APUs (Accelerated Processing Units) that promote improved user experiences by enhancing the vibrant worldwide AMD ecosystem. This ecosystem includes new software, hardware, business models, CE devices, intellectual property, processes, support models and other new developments. Through our investment program, AMD works with the companies in which it invests to enable differentiated solutions optimized on AMD hardware platforms.

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