Index Ventures is a venture capital firm based in London, San Francisco, and Geneva, helping entrepreneurs turn bold ideas into global businesses.  Since 1996, Index has partnered with exceptional entrepreneurs who are using technology to reshape the world. The companies they’ve started include Adyen, Deliveroo, Dropbox, Farfetch, King, Slack, and Supercell.

Index Ventures

Section 32, the new venture fund launched by Bill Maris, was named in homage to Section 31, an intelligence agency from the Star Trek universe.  Maris, the GV (Google Ventures) founder/former-CEO, has raised $150 million for the project that will focus on various investments.  The fund will be run directly by Maris and primarily based out of San Diego.

Section 32

Radical Ventures is an early-stage venture capital firm investing in entrepreneurs applying deep technology to transform massive industries. With a primary focus on artificial intelligence, Radical Ventures partners with entrepreneurs with global ambition to build enduring companies. The firm is based in Toronto, Canada, and is backed by global investors.

Radical Ventures

S Ventures invests in the next generation of category-defining security and data companies.

S Ventures

Founded in 2001, Tiger Global Management, LLC (“Tiger Global”) is a New York-based investment firm pursuing a long-term approach to investing in leading, global public and private companies that leverage technological innovation. Tiger Global’s public equity business includes fundamentally oriented long/short, long-focused and crossover strategies, targeting investments in high-quality, public growth companies. The private equity business invests in early through late stage companies that pursue innovative approaches to new and existing industries, building on over 20 years of experience investing in hundreds of businesses in more than 30 countries with more than 90 portfolio company IPOs. With a strong track record investing across sectors and stages, Tiger Global aims to be a thought partner to companies and their management teams across their lifecycle in public and private markets. The Firm’s mission is to generate world-class returns for its investors and to do so in a way that makes its employees, partners and portfolio companies proud.

Tiger Global Management

Inovia Capital is a venture capital firm that works with founders to create influential and permanent businesses. The team leverages an operator mindset to provide founders with support, mentorship, and access to a worldwide network. Inovia manages over US$2.2B with operations in Montreal, Toronto, Calgary, San Francisco, and London.

Inovia Capital

Thomvest is a cross-stage venture capital firm specializing in early-stage, growth-stage, start-up, and mid-venture investments. The company primarily focuses on opportunities with early-to-mid-stage companies in the fields of financial technology, marketing technology, cybersecurity, sales, and cloud infrastructure sectors. As part of their focus on these areas, they are committed to helping their companies become leaders in their fields through their work with them and through the focus on understanding where value can be created in these industries, as can be seen from the research they publish regularly.

Thomvest Ventures

Oracle is an integrated cloud application and platform services that sells a wide range of enterprise IT solutions. The company also offers software-as-a-service, platform-as-a-service, and infrastructure-as-a-service offerings. It was founded in 1977 and is headquartered in Redwood Shores, California.

Oracle

NVIDIA is a computing platform company, innovating at the intersection of graphics, HPC, and AI. The company specializes in the manufacture of graphics-processor technologies for workstations, desktop computers, and mobile devices. The company is a major supplier of integrated circuits used for personal computer motherboard chipsets, graphics processing units (GPUs), and game consoles. Founded in 1993, NVIDIA is headquartered in Santa Clara, California.

NVIDIA

SentinelOne delivers autonomous endpoint protection that prevents, detects, and responds to attacks across all major vectors. The company aims to shape the future of endpoint security with an integrated platform that combines behavioral-based detection, advanced mitigation, and forensics to stop threats in real time. Specializing in attacks that utilize evasion techniques, SentinelOne is a vendor that offers complete protection against malware, exploit, and insider-based attacks. This led Gartner to recognize SentinelOne as a Visionary in their recent Endpoint Protection Magic Quadrant. SentinelOne is also a next-generation endpoint protection company to be independently certified as a true antivirus replacement for Windows, OS X, and Linux, including certification for both HIPAA and PCI. SentinelOne was formed by an elite team of cybersecurity and defense experts from IBM, Intel, Check Point Software Technologies, Cylance, McAfee, and Palo Alto Networks. SentinelOne was named the seventh fastest-growing company in North America in 2019, the fastest-growing in Silicon Valley, and was the only cybersecurity company recognized in the top 10 of the Deloitte Technology Fast 500™. SentinelOne was also the only endpoint protection company on the Forbes AI 50 list, recognizing the 50 most promising companies using AI as a core part of its business model and success.

SentinelOne

Salesforce Ventures helps enterprising founders build companies that reinvent the way the world works. Since 2009, they’ve invested in and partnered with more than 400 of the world's tenacious enterprise software companies from seed to IPO, including Airtable, Databricks, DocuSign, Guild Education, Hopin, Monday.com, nCino, Snowflake, Snyk, Stripe, Tanium, and Zoom. Salesforce Ventures leverages decades of expertise in the cloud and long-term relationships with key decision-makers at thousands of businesses around the world to give portfolio companies an unfair advantage, help them build credibility, and accelerate growth.

Salesforce Ventures

Mirae Asset Global Investments is a global asset manager providing innovative investment solutions to clients worldwide. The company originally established in Asia in 1997 has since expanded its presence in 12 countries from Australia to Hong Kong to the United States. Their goal is to provide their clients with insightful financial strategies for all of their investing and financial needs. Their scope of services includes traditional equity & fixed income products, ETFs, and other alternative strategies like hedge funds. They strive to maintain a diversified platform that will benefit their clients and allow us to offer an insightful and research-driven approach to managing their assets.

Mirae Asset

DTCP is an investment management firm focused on growth equity and digital infrastructure. Founded in 2015, the firm has raised more than $1 billion in funds from corporate and institutional investors and invested in over 60 companies. DTCP Growth invests in enterprise application and infrastructure software companies. DTCP Infra invests in mobile access, fiber, and data center infrastructure.

DTCP

Alumni Ventures Group provides high-quality, diversified venture portfolios to individual investors who previously haven't had access to VC. It helps accredited alums from top entrepreneurial schools invest together in the ventures of fellow alums. The firm backs companies with an alumni connection and an institutional lead investor with expertise in the space. AVG also offers focused funds that allow any accredited investor access to a venture portfolio, diversified by type, sector, stage, and geography. Beth Obermiller, Michael Madden, and Mike Collins co-founded the firm in Manchester, New Hampshire in 2013.

Alumni Ventures

Schroders Capital helps clients with the management of their investments.

Schroders Capital

Cohere

Upollo is to develop more quickly and create more useful products, and helps them convert, keep, grow, and understand their users.

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.  Cohere provides access to affordable, easy-to-deploy large language models. Its platform gives computers the ability to read and write. Whether to better understand what customers are saying or to write compelling copy that speaks to a target audience, Cohere can help.

<div>Cohere is a platform that gives developers and businesses access to NLP, powered by the latest generation of large language models. Cohere is used for building machines that understand the world and make them safely accessible to all.</div>

Using AI to mimic and understand human language

Natural Language Processing Tools

<div>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.&nbsp;</div>

Foundation Models

<div>
 
 Cohere is a platform that gives developers and businesses access to NLP, powered by the latest generation of large language models. Cohere is used for building machines that understand the world and make them safely accessible to all.
 
 
 Cohere provides access to affordable, easy-to-deploy large language models. Its platform gives computers the ability to read and write - whether to better understand what customers are saying, or to write compelling copy that speaks to a target audience, Cohere can help.
 
</div>

<div>
 
 Reduct is an AI-powered cloud video platform that aims to allow for richer human communication. The company is led by Prabhas Pokharel and Robert Ochshor, based in San Francisco.
 
</div>

Reduct

<div>
 
 MonkeyLearn provides a simple graphical interface where users can create customized text classification and extraction analysis by training machine learning models such as sentiment analysis, topic detection, keyword extraction, and more. MonkeyLearn can be integrated with hundreds of other applications through its direct integrations and open API.All of that without the need of roping in developers or data scientists.
 
</div>

MonkeyLearn

<div>
 
 Keatext will help you cultivate meaningful relationships with your customers by providing you with instant clarity on what they care about most, and by increasing your ability to respond rapidly to their needs by synthesizing large volumes of unstructured feedback data from multiple channels (such as open-survey questions, online reviews, chat logs and social media posts) to produce actionable insights delivered on one comprehensive custom dashboard.
 
</div>

Keatext

<div>
 
 Powerful in-meeting sales tools and intelligence.
 
</div>

Aircover

<div>
 
 NeuralSpace is a Software as a Service (SaaS) platform which offers developers a suite of APIs for Natural Language Processing (NLP) that you can use without having any Machine Learning (ML) or Data Science knowledge. Along with some of the common languages like English, German, French, etc., the platform supports various languages spoken acrossIndia, South East Asia, Africa, Middle East, Scandinavia and Eastern Europe, aka, low-resource languages. The primary goal is to democratize NLP and make sure any developer can create apps with advanced language processing in any language and not just English. The platform comes with various language processing Apps that can help you classify long or short text into categories, identify speakers in a given audio file, transcribe speech into text, and much more. The AI models that power our platform are state-of-the-art, quality assured and ready for you to customize or consume out-of-the-box. The NeuralSpace platform is designed as a no-code/low-code platform for you to go to market faster and focus on the business problems you are solving, while we take care of all your language processing needs.
 
</div>

NeuralSpace

NLP tools such as chatbots are used to cater to each individual

NLP tools are built using AI/ML technologies

Some NLP tools are built using foundation models

NLP tools are provided for other companies to integrate into their workflows

Tools that automatically translate text from one language to another.

<div>
 
 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.&nbsp;
 
 
 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, &ldquo;Command-R,
 </a>
 &rdquo; 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.
 
 
 
 
 Key customers and partnerships&nbsp;
 
 
 In 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.&nbsp;
 
 
 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.&nbsp;
 
 
 
 
 Funding and financials&nbsp;
 
 
 In June 2023, the company raised USD 270 million in a Series C funding round led by Inovia Capital, bringing its post-money valuation to range between USD 2.1 billion&ndash;2.2 billion. It planned to use the funds to expand into &quot;search and retrieval&quot; to enable AI models to access real-time information from the web, improving its capabilities.
 
 
 
</div>

<div>
 
 AI21 is an Israel-based AI research lab developing large language models (LLMs). The firm also builds GenAI applications based on its LLMs, marketing them to businesses and consumers.&nbsp;
 
 
 AI21 launched its first AI model, &ldquo;Jurassic-1,&rdquo; in August 2021, offering two versions. The larger variant, Jurassic-1 Jumbo, contained 178 billion parameters&mdash;three billion more than OpenAI&rsquo;s 175-billion parameter GPT-3 model. Similar to GPT-3, Jurassic is able to write emails and articles, summarize text, compose poetry and recipes, create website layouts, and generate code.&nbsp;
 
 
 The firm concurrently launched AI21 Studio, a platform allowing users to train custom versions of Jurassic-1 and embed them into products via an API.&nbsp;
 
 
 In May 2022, AI21 confirmed it was working on a new AI system, called the &ldquo;modular reasoning knowledge and language&rdquo; or &ldquo;MRKL&rdquo; framework (pronounced &ldquo;miracle&rdquo;). MRKL augments LLMs, connecting to external sources and symbolic reasoning models to enable the generation of accurate historical information, news on current events, and dynamic information, such as weather, exchange rates, and Wikipedia information. This allows models to accurately answer math queries by calling a calculator and navigate more complex questions by breaking down queries into parts. An initial implementation of MRKL, Jurassic-X, is available on AI21 Studio, which allows users to connect LLMs to their own databases and navigate their data using natural language.
 
 
 In March 2023, the firm launched &ldquo;Jurassic-2,&rdquo; a successor to its initial language model. The new LLM differs from Jurassic-1 and most popular LLMs, in that it incorporates semantic reasoning into its text generation processes alongside statistical inference, enabling the model to more reliably and accurately respond to queries.
 
 
 AI21 says this was achieved by training Jurassic-2 in two phases: A traditional self-supervised phase using an extensive corpus of unstructured and unlabeled data and a second phase, involving a large volume of labeled data to teach the model to follow instructions. Jurassic-2 did not initially implement the MRKL framework, although AI21 confirmed it as an upcoming feature.
 
 
 
 
 The company claims that its foundation models are 30% more efficient than those of other providers and it also does not charge additional fees for the use of fine-tuned models.
 
 
 
 
 Key customers and partnerships
 
 
 As of June 2023, AI21&rsquo;s customers include Latitude, Easyway, Verb, Tweet Hunter, and Harambee.
 
 
 Funding and financials
 
 
 In August 2023, AI21 Labs raised USD 155 million in a Series C funding round. Investors&nbsp; included Walden Catalyst, Pitango, SCB10X, b2venture, Samsung Next, and Amnon Shashua, the founder of Intel-owned Mobileye and a co-founder of AI21 Labs. Notable participants also included Google and NVIDIA. The funds were expected to be used to accelerate the growth of its text-based GenAI services for enterprises.
 
 
 
</div>

AI21 Labs

<div>
 
 UK-based Stability AI is actively involved in building AI applications and offers a range of foundation models, including:
 
 
 Text-to-image model
 
 
 &bull; Stable Diffusion (SDXL 1.0): The open-source text-to-image model incorporates a dual network architecture with a 3.5-billion parameter base model and a 6.6-billion parameter refiner. The model was trained on image-caption pairs from the LAION-5B dataset derived from Common Crawl data. It excels in high-quality image generation, spatial object positioning, and complex concept recognition. The model can be fine-tuned for specific tasks using techniques such as embeddings, hypernetworks, and tools like DreamBooth, a deep-learning generation model.
 
 
 In November 2023, the company launched 
 <a href="https://sp-edge.com/updates/23352">
 two new products
 </a>
 Sky Replacer and Stable 3D. Sky Replacer lets users manipulate the aesthetic of the sky in their photos from a choice of nine alternatives, enhancing the overall image appeal and Stable 3D aims to simplify the process of creating textured 3D objects, from images or text prompts, into a quick, automatic activity.
 
 
 Text-to-text models
 
 
 1) Stable Beluga 1: The instruction-following language model is based on LLaMA 65 billion and has reasoning capabilities.
 
 
 2) Stable Beluga 2 (FreeWilly): An expansion to Stable Beluga 1, this model is based on LLaMA 70 billion and reportedly ranks near the top of the Open LLM Leaderboard.
 
 
 3) StableLM is an open-source language model suite; the company has released alpha versions of three billion- and seven-billion parameter models, with 15 to 65 billion-parameter models to follow. It's designed to generate text and code, and can power various downstream applications. 
 <a href="https://sp-edge.com/updates/25750">
 Stable LM 2 1.6B, 
 </a>
 an AI language model designed for multiple languages, was released in January 2024.
 
 
 4) The Japanese StableLM Alpha, is a seven-billion parameter Japanese language model, which claims to have superior performance compared to other publicly available Japanese language models. It offers text generation capabilities and is released under the Apache License 2.0 for commercial use, with an additional research version available for research purposes.
 
 
 5) StableCode has three billion parameters and is specifically designed to help programmers with coding tasks by providing autocomplete suggestions and responses to programming instructions.
 
 
 Text-to-audio model
 
 
 1) Stable Audio, which has 907 million parameters, uses a latent diffusion model architecture for audio and is conditioned on various factors including text metadata, audio file duration, and start time. This conditioning allows control over the content and length of the generated audio.
 
 
 Text-to-image model
 
 
 1) 
 <a href="https://sp-edge.com/updates/26910">
 Stable Diffusion 3,
 </a>
 which has 800 million range and 8 billion parameters and combines a diffusion transformer architecture and flow matching. Additionally, the model can depict multi-subject prompts, create images, and correct spelling.
 
 
 2) 
 <a href="https://sp-edge.com/updates/26645">
 Stable Cascade,
 </a>
 a text-to-image model developed with a three-phase approach for image creation and modification.
 
 
 Text-to-video model
 
 
 1) 
 <a href="https://sp-edge.com/updates/24289">
 Stable Video Diffusion
 </a>
 . an AI model designed to produce videos from images, offered as a research preview. The models, SVD and SVD-XT, can generate short, high-quality clips but come with limitations.
 
 
 2) 
 <a href="https://sp-edge.com/updates/27695">
 Stable Video 3D (SV3D), 
 </a>
 a GenAI tool to create 3D videos to create multi-view 3D models from a single input image and can produce short video content from image or text prompts.
 
 
 There has been considerable debate about the ethical and copyright implications of using stable diffusion to create images. The model is particularly permissive when it comes to creating different types of content, which has raised concerns about its potential for abuse. In response to its permissiveness, Stability AI has become involved in copyright infringement lawsuits, with artists and Getty Images raising legal objections to the use of their content in the model's training data.
 In March 2024, 
 <a href="https://sp-edge.com/updates/27872">
 Stability AI's founder and CEO, Emad Mostaque, resigned from his role 
 </a>
 and the company's board to focus on the development of decentralized AI to bring transparency and competitiveness in AI.&nbsp;
 
 
 Key customers and partnerships&nbsp;
 
 
 In December 2022, Stability AI entered a partnership with Amazon, with AWS designated as the preferred cloud provider to facilitate the development and expansion of Stability AI's AI models.
 
 
 In March 2024,
 <a href="https://sp-edge.com/updates/27403">
 Stability AI partnered with Tripo AI,
 </a>
 a provider of AI 3D models, to release TripoSR for 3D object reconstruction to cater to the demands of entertainment, gaming, industrial design, and architecture professionals, with responsive outputs for visualizing detailed 3D objects.
 
 
 Funding and financials&nbsp;
 
 
 In October 2022, the company raised USD 101 million in a funding round led by Coatue and Lightspeed Venture Partners, bringing its post-money valuation to USD 1 billion. It planned to use the funds to scale custom versions of Stable Diffusion, boost supercomputing capabilities for AI model development, and expand its workforce from 100 to 300 employees in the coming year.
 
 
 <a href="https://sp-edge.com/updates/23765">
 In October 2023
 </a>
 , Stability AI reportedly raised a new round of financing from Intel, totaling approximately USD 50 million in the form of a convertible note to streamline product research with AI-driven solutions and is focused on further product releases in the coming months.
 
 
 
 
 
</div>

Stability AI

<div>
 
 Founded in 2022, Hippocratic AI is a healthcare-focused AI model developed by Health GPT. At its core, Hippocratic AI uses a state-of-the-art (SOTA) large language model (LLM) designed to improve healthcare processes, particularly in non-diagnostic tasks. Hippocratic AI aims to differentiate itself from traditional LLMs by prioritizing pre-training with trusted, evidence-based healthcare content rather than the broader Internet. Claimed to be the first safety-focused LLM for healthcare, the model undergoes a unique Reinforcement Learning with Human Feedback process, known as RLHF-HP, which involves working with healthcare professionals to validate its readiness for use. In addition, the model aims to incorporate a compassionate &ldquo;bedside manner&rdquo; in its interactions with patients, recognizing the impact of empathy on emotional wellbeing and health outcomes.
 
 
 According to the company, Hippocratic AI outperformed GPT-4 in majority of tests and certifications. Out of 114 evaluations, it outperformed GPT-4 in 105 cases, with a notable margin of +5% in 74 evaluations and +10% in 43 certifications.
 
 
 Key customers and partnerships&nbsp;
 
 
 In August 2023, the company launched the Hippocratic AI Founding Partner Program, an initiative through which the company collaborates with leading healthcare organizations to become founding partners and actively participate in the development and validation of Hippocratic AI's LLM and technology. The program includes establishing use cases, ensuring clinical and patient safety, and contributing to the advancement of healthcare-specific AI applications. In February 2024, these companies began 
 <a href="https://sp-edge.com/updates/27145">
 beta
 </a>
 testing their LLM for non-diagnostic applications in healthcare.
 
 
 In March 2024, 
 <a href="https://sp-edge.com/updates/27696">
 Hippocratic AI partnered with NVIDIA
 </a>
 to develop AI healthcare agents that have low-latency conversational interactions with patients.
 
 
 Funding and financials&nbsp;
 
 
 In March 2024, 
 <a href="https://sp-edge.com/updates/27694">
 the company raised USD 53 million
 </a>
 in a Series A funding round co-led by Premji Invest and General Catalyst to invest in Phase III safety tests of its LLM and further develop of products.
 
 
 
</div>

Hippocratic AI

<div>
 
 Founded in 2023, GenHealth.ai is a startup focused on advancing healthcare solutions through the use of GenAI. Its proprietary approach involves training a foundation transformer model, known as DOOG-E, on extensive healthcare data, including 50+ million of coded patient claims and clinical information. DOOG-E is a specialized Generative Pre-Trained Transformer (GPT) AI designed for healthcare applications, with 70 million parameters and one billion tokens. Unlike traditional large language models, DOOG-E is a large medical model (LMM) that uses medical events such as ICD, CPT, RxNorm, and LOINC codes as its &quot;language&quot; to predict future sequences of health events based on historical data.
 
 
 The company claims that its LMM, trained on medical data, is less prone to bias and hallucination compared to its GenAI, large language models (LLM), rendering it more dependable for healthcare applications.
 
 
 Funding and financials&nbsp;
 
 
 In July 2023, the company raised USD 13 million in early funding co-led by Craft Venture and Obvious Ventures. It planned to use the funds to support the development and expansion of its LMM for various healthcare applications, including risk adjustment, care management, and financial benchmarking.
 
 
 
</div>

GenHealth

All companies within the space are building large AI models

Companies in this space leverage NLP to train LLMs

The hub exclusively covers companies that have built foundation models

All companies within the space can leverage their foundation models for generative AI applications

The technology enables the creation of personalized content

Foundation models that can handle a range of natural language processing (NLP) use cases. Typical tasks include generating summaries, translating, answering questions, and classifying text. These models typically use text inputs and generate text outputs.

Cohere

Natural Language Processing Tools

Key stats

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Recent Updates

Cohere partners with Amazon to incorporate Command R+ and Command R to Amazon Bedrock

Cohere partners with Amazon to incorporate Command R+ and Command R to Amazon Bedrock

Cohere launches developer toolkit to accelerate GenAI app development

Cohere announces private beta for Compass, a foundation embedding model

UK watchdog issues warning on AI foundation models market dominance

Hugging Face integrates Cohere’s Command R+ into HuggingChat

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