Z47 invests in technology startups that target the Indian consumer and global enterprise markets at the seed, early, and early growth phases.

Krutrim

Krutrim SI Designs is an artificial intelligence (AI) firm that aims to focus on creating silicon chips and building a cloud infrastructure. The company is dedicated to constructing the nation's inaugural comprehensive AI computing infrastructure.

Based in India, Krutrim develops AI computing stacks and foundation models tailored for the Indian market with multiple Indian languages. Its model is claimed to have the broadest representation of Indian data in its training as it is trained on 2 trillion tokens.

Foundation Models

<div>Based in India, Krutrim develops AI computing stacks and foundation models tailored for the Indian market with multiple Indian languages. Its model is claimed to have the broadest representation of Indian data in its training as it is trained on 2 trillion tokens. Krutrim offers two models: A base model and a pro model. The basic version of Krutrim is capable of answering prompts or queries.&nbsp;</div>

Exploring the limitless possibilities of AI

Generative AI Applications

Krutrim AI

Bhavish Aggarwal’s Krutrim offers free cloud credits to all IITs to support AI innovation

Based in India, Krutrim develops AI computing stacks and foundation models tailored for the Indian market with multiple Indian languages. Its model is claimed to have the broadest representation of Indian data in its training as it is trained on 2 trillion tokens.Krutrim offers two models: a base model and a pro model. Krutrim Pro is designed to understand and work with various media formats, such as text, audio, images, and video, in a unified manner. It offers expanded knowledge and is built to tackle more complex tasks, aiming to provide improved problem-solving capabilities. The company also offers a base model that can answer prompts and queries (can understand 22 Indian languages and generate text in 10 Indian languages).Moreover, Krutrim AI Studio provides cloud-based services designed for businesses to integrate and deploy pre-trained, customizable AI models<h3>Key customers and partnerships&nbsp;</h3>Krutrim has entered a strategic partnership with Databricks to use Databricks' data and AI platform to pre-train and fine-tune Krutrim’s foundational large language model (LLM).&nbsp;&nbsp;

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 Labs has developed several language models since its inception, beginning with Jurassic-1 (August 2021) and progressing through Jurassic-2 (March 2023) and&nbsp;<a href="https://sp-edge.com/updates/27995">Jamba</a> (March 2024). The company offers&nbsp;<a href="https://sp-edge.com/updates/32879">Jamba 1.5 Mini and Jamba 1.5 Large,</a> launched in August 2024, marking a significant advancement in long-context language processing. These models support a 256,000-token context window and are optimized for speed, providing up to 2.5x faster inference on extended contexts. Jamba 1.5 Large is a Mixture-of-Experts (MoE) model with 398 billion total parameters and 94 billion active parameters, while Jamba 1.5 Mini is an enhanced version of Jamba-instruct, emphasizing efficiency in handling complex language tasks. The company claims that its foundation models are 30% more efficient than those of other providers and it does not charge additional fees for the use of fine-tuned models.&nbsp;Additionally, AI21 offers AI21 Studio, a platform for custom model training and API integration, and has developed the MRKL framework to enhance LLMs with external knowledge sources and reasoning capabilities.<h3>Key customers and partnerships</h3>As of June 2023, AI21’s customers include Latitude, Easyway, Verb, Tweet Hunter, and Harambee. In May 2024,&nbsp;<a href="https://sp-edge.com/updates/29800">the company partnered with Aimpoint Digital</a>, provider of analytics, and Weights and Biases, an integrated MLOps platform, to leverage AI21's GenAI models which are tuned for RAG for Aimpoint Digital's GenAI solutions. Further,&nbsp;<a href="https://sp-edge.com/updates/29663">AI21 partnered with Microsoft&nbsp;</a>to incorporate AI21's latest model, Jamba-Instruct, into Microsoft's Azure AI as part of its Model-as-a-Service (MaaS) offering.&nbsp;

AI21 Labs

UK-based Stability AI builds AI applications and offers a range of&nbsp;foundation models.&nbsp;It has created several text-to-image models, including Stable Diffusion XL (SDXL 1.0), which utilizes a dual-network architecture with a 3.5-billion-parameter base model and a 6.6-billion-parameter refiner for high-quality image generation, and&nbsp;<a href="https://sp-edge.com/updates/30420">Stable Diffusion 3 Medium</a>, an open-source model with 2 billion parameters designed for fine-tuning with small datasets.Additionally,&nbsp;<a href="https://sp-edge.com/updates/32260">Stable Fast 3D</a> generates 3D images from single 2D inputs. The company also offers Stable Diffusion 3 Large and Stable Diffusion 3 Large Turbo, along with Stable Diffusion 3.5 Medium (2.5 billion parameters), Stable Diffusion 3.5 Large (8 billion parameters), and Stable Diffusion 3.5 Large Turbo, a distilled version of the latter. In November 2023,&nbsp;<a href="https://sp-edge.com/updates/23352">the company launched Sky Replacer, which allows users to modify the sky in photos, and Stable 3D</a>, a tool for creating textured 3D objects from images or text prompts.Stability AI has also released several text-to-text models, including the Stable Beluga series, StableLM series, which includes open-source language models ranging from three billion to 65 billion parameters for text and code generation, featuring models like Stable LM 2 12B, and Stable LM 2 1.6B, a smaller multilingual model.&nbsp;<a href="https://sp-edge.com/updates/36984">Stable LM 1.6 billion</a> is an Arabic language model available in base and chat versions, which has been fine-tuned on over 100 billion Arabic text tokens and uses the Arcade100k tokenizer. The Japanese Stable LM, considered sophisticated to other publicly available Japanese language models, is optimized for Japanese text generation, while StableCode (three billion parameters) provides autocomplete suggestions for programming tasks.For audio generation, Stability AI has developed Stable Audio, which uses a latent diffusion model architecture to generate audio based on text prompts, along with its successor, Stable Audio 2.0, optimized for short audio samples and sound effects.In video generation, Stable Video Diffusion produces short clips from images, while&nbsp;<a href="https://sp-edge.com/updates/27695">Stable Video 3D (SV3D)</a> creates multi-view 3D models from single images or text prompts, and&nbsp;<a href="https://sp-edge.com/updates/31945">Stable Video 4D</a> enables users to upload videos to obtain dynamic outputs from various perspectives. These are also adaptable to various video applications and can be fine-tuned for multi-view synthesis using multi-view datasets. In May 2024, Stability AI introduced Stable Artisan, a tool designed for media generation within Discord environments. Key customers and partnerships&nbsp;In December 2022, Stability AI partnered with Amazon, with AWS designated as the preferred cloud provider to facilitate the development and expansion of Stability AI's AI models.&nbsp;<a href="https://sp-edge.com/updates/27403">Stability AI partnered with Tripo AI</a> in March 2024 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. In April 2024,&nbsp;the company&nbsp;<a href="https://sp-edge.com/updates/28612">partnered with Fireworks AI</a>, a provider of API platforms, to deliver Stable Diffusion 3 and Stable Diffusion 3 Turbo for enterprises.&nbsp;In December 2024,&nbsp;<a href="https://sp-edge.com/updates/37283">the company partnered with COLOPL&nbsp;</a>to integrate AI technology into game development, specifically focusing on using Stable Diffusion for image generation.

Stability AI

Cohere is a Canadian startup that develops and deploys large language models (LLMs) for various applications across enterprise and business use cases.&nbsp;Cohere's models include: (1) Command R (March 2024), to handle large-scale production workloads for global languages in businesses; (2) Command R+ (April 2024), an enhanced version of Command R and offers enhanced retrieval augmented generation (RAG) with citation, supports 10 business languages, and automates workflows; (3)&nbsp;<a href="https://sp-edge.com/updates/29350">Command R Fine-Tuning</a> (May 2024), for enhanced performance for business application workload; (4)&nbsp;<a href="https://sp-edge.com/updates/37280">Command R7B</a>, its smallest and fastest language model in the R series, which features a context length of 128K and supports 23 languages; (5)&nbsp;<a href="https://sp-edge.com/updates/28463">Rerank 3 (April 2024)</a>, a model to enhance enterprise search and retrieval augmented generation (RAG) systems and has a 4k context length for better search results in longer documents, the ability to examine diverse and semi-structured data like emails, JSON files, invoices, and programming codes, multilingual capabilities across 100+ languages, improved latency, and lower total cost of ownership; (6)&nbsp;<a href="https://sp-edge.com/updates/36743">Rerank 3.5 (November 2024)</a>, an enterprise search model that can process queries in 100+ languages; (7)&nbsp;<a href="https://sp-edge.com/updates/29761">Aya 23 (May 2024)</a>, a multilingual language model that can handle 23 languages&nbsp; (8) Embed 3 (October 2024), a multimodal AI search model that can generate embeddings from text and images<h3>Key customers and partnerships&nbsp;</h3>As of December 2024, key customers of the company include Oracle, Johnson Lambert, Atomicwork, Borderless AI, BlueDot, and HyperWrite.Cohere has established a robust partner ecosystem. In 2024, Cohere has partnered with 1)&nbsp;<a href="https://sp-edge.com/updates/27307">Accenture</a> (March) to integrate its Command model and retrieval augmented generation (RAG) capabilities to offer GenAI solutions for businesses, 2)&nbsp;<a href="https://sp-edge.com/updates/28932">Amazon&nbsp;</a>(April) to incorporate Command R+ and Command R to Amazon's cloud platform, Bedrock, 3)&nbsp;<a href="https://sp-edge.com/updates/30492">Borderless AI</a> (June), a provider of AI-powered HR solutions, to create tailored AI agents for HR tasks, 4)&nbsp;<a href="https://sp-edge.com/updates/31052">i-5O</a> (July), a provider of AI solutions for manufacturing, as part of Cohere's Startup Program, 5)&nbsp;<a href="https://sp-edge.com/updates/31590">Fujitsu</a> (July) to develop a Japanese LLM, 6)&nbsp;<a href="https://sp-edge.com/updates/33458">Nomura Research Institute (NRI)</a> (September), a Japanese consulting firm, to develop the NRI Financial AI Platform, and&nbsp;7)&nbsp;<a href="https://sp-edge.com/updates/37310">Palantir</a> (December) to deploy its AI models through Palantir's Foundry platform.

Cohere

Hippocratic AI develops a safety-focused large language model (LLM) specifically designed for healthcare applications, with an emphasis on non-diagnostic, patient-facing tasks.&nbsp;Hippocratic AI aims to differentiate itself from traditional LLMs by prioritizing pre-training with trusted, evidence-based healthcare content rather than the broader Internet.&nbsp;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.&nbsp;The company offers a staffing marketplace, where healthcare providers can “hire” AI agents at USD 9 per hour to perform various low-risk tasks such as chronic care management, post-discharge follow-up for specific conditions like congestive heart failure and kidney disease, wellness surveys, health risk assessments, and pre-operative outreach. In addition, the model aims to incorporate a compassionate “bedside manner” in its interactions with patients, recognizing the impact of empathy on emotional wellbeing and health outcomes.<h3>Key customers and partnerships&nbsp;</h3>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 including Memorial Hermann Health System, University of Vermont Health Network, Fraser Health, and Side Health, began&nbsp;<a href="https://sp-edge.com/updates/27145">beta</a> testing their LLM for non-diagnostic applications in healthcare.<a href="https://sp-edge.com/updates/27696">Hippocratic AI partnered with NVIDIA</a> in March 2024 to develop AI healthcare agents that have low-latency conversational interactions with patients. In September 2024, it partnered with Adtalem Global Education to develop a suite of educational materials for training clinicians on the use of AI in healthcare.

Hippocratic AI

Founded in 2023, GenHealth.ai is a startup focused on advancing healthcare solutions through the use of GenAI.&nbsp;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. The model has 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 "language" to predict future sequences of health events based on historical data. In September 2024, GenHealth.ai launched the Large Medical Model (LMM), which, according to the company, integrates advanced technologies, including a healthcare-specific vocabulary tailored for medical applications, neural network transformers that power Large Language Models, and the analysis of data from trillions of healthcare events involving 140 million patients. Reportedly, it is trained on medical data and is less prone to bias and hallucination compared to its GenAI large language models (LLM), rendering it more dependable for healthcare applications.

GenHealth

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.

Fine-tuned versions of large language models, which are focused on specific tasks and applications (e.g. code generation, medical event prediction, financial NLP tasks, etc). These are usually developed by training LLMs using custom data and also serve as foundation models that can be developed even further. These models typically use text inputs and can generate text and/or code outputs.

Foundation models that translate visual data based on features and contextual information identified during training. This enables models to interpret images and video, applying those interpretations to predictive or decision-making tasks. Typical tasks include image recognition and classification into categories. These models typically use image and/or video inputs and generate text outputs.

Foundation models that are trained to understand and work with two or more forms of input data (e.g., text and images) to solve problems and complete tasks using both natural language processing and computer vision. These models can also generate outputs across textual and visual modalities. Typical tasks include visual question answering, image captioning, and generating images based on text descriptions. These models typically use text and/or visual inputs and generate text and/or visual outputs.

Foundation models that use big data to suggest or recommend additional products to consumers. These models are designed to predict user-item interaction probabilities and provide recommendations to users. The models are trained to make these inferences based on historical data on customer interactions and non-interactions. These models typically use user features, item features and user interactions as inputs, and generate numeric values like ratings predictions and matching probabilities as outputs.

Foundation models that are capable of automatic speech recognition, transcription in multiple languages, and translation from these languages to English. These are sometimes referred to as audio models. These models typically use speech/audio as inputs and generate text outputs.

Foundation models that transform user text prompts into video clips.

Foundation models that generate music from text descriptions.

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

<div>
 
 Based in India, Krutrim develops AI computing stacks and foundation models tailored for the Indian market with multiple Indian languages. Its model is claimed to have the broadest representation of Indian data in its training as it is trained on 2 trillion tokens. Krutrim offers two models: A base model and a pro model. The basic version of Krutrim is capable of answering prompts or queries.&nbsp;
 
 
 
 
 In February 2024, Krutrim unveiled a new 
 <a href="https://sp-edge.com/updates/26982">
 AI chatbot
 </a>
 called Krutrim AI in public beta. This chatbot displays several key features, primarily its ability to assist users in over ten Indian languages, including English, Hindi, Tamil, Bengali and others. Krutrim AI also provides support and interaction in Hinglish, a combination of Hindi and English.
 
 
 
 
 Funding and financials
 
 
 
 
 In February 2024, the 
 <a href="https://sp-edge.com/updates/25983">
 company raised USD 50 million
 </a>
 in an equity round to expand global reach and drive AI innovation. During this round, the company was valued at USD 1 billion.
 
 
 
</div>

DeckRobot is a platform compatible with Microsoft PowerPoint that leverages AI to transform raw slides into enterprise-ready presentations. DeckRobot AI transforms draft slides into professional, on-brand slides by adapting graphics from a vast library of slide examples. Users can apply an unlimited number of styles to any slide deck, including old documents, client materials, or web-sourced slides.DeckRobot offers enhancements for individual slides, such as adding approved icons and images, object alignment, slide resizing, and text validation through AI checks. DeckRobot's plugin acts as a time-saving tool for PowerPoint users, reducing manual work and potentially saving up to 80% of working time. The plugin emphasizes creating visually appealing presentations that adhere to company brand guidelines while maintaining content quality.Key customers and partnershipsAs of April 2024, the company reportedly worked with 70% of the largest consulting and audit companies.

DeckRobot

Based in Italy, Contents.com is a generative AI-powered multimedia creation tool directed at marketing teams, bloggers, publishers, web agencies, ecommerce sites, and large corporations looking to scale content output. The company operates as a SaaS platform that provides tools to support the entire content creation workflow, combining AI-generated output with manual finishing. Contents.com’s features include:1) Industry trends: Uses AI to provide an overview of popular content trends during a specified time period2) AI Chat: A natural language chatbot that can answer questions on any topic or be used to generate content ideas3) AI Writer: Generates content based on a selected template, including blog posts, social media posts, product descriptions, marketing emails, search engine optimized content, and summarized and rephrased content4) AI Art: Generates images based on text inputs, a selected style, and destination content type5) Text to Audio: Converts text documents into audio, with several AI voices available for selection and generates text transcripts from audio input6) AI Translation: Translates content into 25+ languages (January 2024) and offers human translation7) Professional writing services: Completion and review of AI-generated content or fully outsourced content creation by human writersContents.com also offers a customizable enterprise solution, enabling large organizations to automate their content creation processes.The firm claims that its solution can generate content 10x faster.In April 2023, Contents.com acquired Scribeur, its main French competitor, expanding its customer base to include major French and European brands. In the same month, the firm also acquired translation company Traduzione.it. In addition, in May 2023, the company acquired Scribox, an Italian content marketing marketplace, to leverage Scribox's expertise in custom content creation, SEO, and social media marketing.Key customers and partnershipsAs of May 2023, Contents.com’s users included Allianz, Billboard, IKEA, Oppo, and Accenture.

Contents.com

Estonia-based Alpha3D utilizes GenAI technologies to allow users to automatically convert text prompts or 2D images of real-world objects into interactive 3D digital assets. The platform aims at simplifying the 3D model creation process, making it more accessible and scalable for users regardless of their 3D-modeling knowledge. Alpha3D's technology has potential applications in various domains, such as augmented reality (AR), virtual reality (VR), virtual try-on (VTO), gaming, the metaverse, and even non-fungible tokens (NFTs), allowing a wide range of digital interactions and experiences​.The platform claims to automatically generate 3D content 10x faster and up to 100x cheaper than traditional methods, without requiring 3D modeling expertise.Key customers and partnershipsAs of September 2023, Alpha3D had managed to garner a user base of nearly 100,000 platform users, including Viva Technology, Threedium, Wanna, PwC, and FARFETCH.In June 2023, the company partnered with Tryme, a company specializing in custom software solutions, to advance the creation of AI-generated 3D models for eyewear by combining Alpha3D's rapid 2D-to-3D conversion with TRYME's virtual try-on platform.

Alpha3D

OASIS is a human-centric AI research lab that offers photorealistic AI avatars for remote work. Users can enter text, record audio, or write directly on the screen, and the AI will rewrite based on specified preferences or settings, allowing users to generate rewritten content for various purposes, such as improving clarity, style, or readability. The cross-platform app allows users to use the AI avatar when using a camera, including Zoom, Google Meet, Microsoft Teams, FaceTime, and WhatsApp.

OASIS

Canada-based Maket specializes in utilizing GenAI to automate the design of residential floor plans, aiding architects, designers, and developers in efficiently creating various design iterations​. Additionally, Maket offers a suite of tools, including a virtual assistant for informed desig-making, assistance with navigating zoning codes, and regulatory compliance checks. The platform is also integrated with Rhino, Autodesk Autocad, and Autodesk Revit.Key customers and partnerships&nbsp;In April 2022, Maket formed a strategic partnership with <a href="https://mila.quebec/en/mila-and-maket-announce-a-new-partnership-to-leverage-ai-for-generative-architecture/#:~:text=MONTREAL%20%E2%80%93%20April%2020%2C%202022,architecture%2C%20engineering%20and%20construction">Mila</a>, a deep-learning research institute, to advance AI-powered architectural planning​.Key competitors: None comparable (Maket is the only design startup we have identified that uses GenAI to automate the design of residential floor plans.)

Maket

Companies that offer solutions to generate text from a prompt, where output is independent of previous interactions, such as specialized content creation tools

Companies that offer solutions to create and edit images and GIFs, including techniques such as inpainting, outpainting, upscaling, and stylizing

Companies that generate or synthesize voice and audio, including voice cloning, text-to-speech, and language translation

Companies that specialize in generating 3D content, including the creation of game assets (virtual worlds, non-playable characters), product visualization, and other 3D models

Companies that offer solutions to create and edit video content, including scene generation, background replacement, stylizing, and frame interpolation

Companies that offer solutions to generate contextually relevant text responses across multiple conversational exchanges, such as natural language chatbots

Generative AI applications are built on foundation models that are trained using advanced ML models

The technology allows the creation of digital avatars and virtual games

All companies within the space offer a product or service based on generative AI

The technology allows the creation of personalized content

Some applications leverage NLP to train models to process and respond to language-based prompts

Generative AI applications are built on in-house or third-party foundation models

ANALYST_QUICK_TAKE

PROMINENT_CATEGORY

<div>
 
 Indian developer, Krutrim, known for creating foundation models and associated products, has launched a public beta version of their latest AI chatbot, Krutrim AI.
 The chatbot boasts a number of unique features, one of the most notable being its capability to assist users in various Indian languages, such as English, Hindi, Tamil, Bengali and more. Additionally, the Krutrim AI chatbot can also interact and provide support in Hinglish, which is a blend of Hindi and English languages.
 Krutrim, a company situated in India, specialises in developing AI computing stacks and foundation models that are custom made for the Indian market by utilising several Indian languages. The firm asserts that its model has the widest representation of Indian data used in its training.
 
</div> Analyst QuickTake: 
 Krutrim AI can be seen as a milestone in AI computing for India, suggesting potential for innovation and development on the global stage. Krutrim AI is said to compete with similar platforms, such as ChatGPT and Google's Gemini. This launch comes after the company raised USD 50 million early this year to expand global reach and drive AI innovation.

Krutrim AI

Key customers and partnerships

About EDGE

Contact Us

Resources

Area of focus

Technology Research Made Effortless