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Browse the featured start-ups and cast your vote below!
Ivy
Ivy unifies all AI frameworks, infrastructure, and hardware, accelerating both development and deployment, with one line of code.
IVY
AI is deeply fragmented, across frameworks, infrastructure and hardware. This makes development and deployment very inefficient. Ivy unifies all levels of the AI stack, making all tools totally interoperable.
In terms of AI technology leveraged, Ivy is a pure infrastructure project, where we leverage several of the top ML compiler toolchains such as: OpenAI Triton, LLVM, MLIR, XLA, TensorRT, ROCm etc., and also build extensively on the frameworks: PyTorch, TensorFlow, Jax etc.
VOTE
In terms of AI technology leveraged, Ivy is a pure infrastructure project, where we leverage several of the top ML compiler toolchains such as: OpenAI Triton, LLVM, MLIR, XLA, TensorRT, ROCm etc., and also build extensively on the frameworks: PyTorch, TensorFlow, Jax etc.
together
Together - an AI healthcare aide streamlining care for aging Americans. Born from Heal's founders, it uses AI for tasks like auto-refilling meds with a pic & measuring vitals via a phone camera. One app, multiple solutions for 123M facing health challenges. #AIHealthRevolution
TOGETHER BY RENEE
"Together by Renee is an AI healthcare assistant that automatically coordinates care by using generative AI to complete routine healthcare tasks for aging Americans, polychronic patients and their overwhelmed caregivers. Created by Dr. Renee Dua and Nick Desai - the visionary founders of market-leading doctor-house call company Heal (9-figure exit to Humana) - Together provides much needed relief to the 123 million Americans who suffer issues like diabetes, obesity, hypertension, high cholesterol, depression, anxiety and others.
Requiring no data entry or typing, Together uses pictures, videos and voice to build an actionable patient-centric health profiles for aging Americans. Together then uses those profiles to actually complete healthcare tasks.
VOTE
Requiring no data entry or typing, Together uses pictures, videos and voice to build an actionable patient-centric health profiles for aging Americans. Together then uses those profiles to actually complete healthcare tasks.
Blockade Labs
Blockade Labs turns text and more into 6K 3D skyboxes in seconds. We're the engine fueling the consumer 3D internet—enterprise-grade, yet accessible to all.
BLOCKADE LABS
"Hey there, we're Blockade Labs. We create 360° AI-generated 3D environments. AI generated skyboxes were the predecessor to building fully immersive 3D environments. Given interactive 3D is orders of magnitudes more difficult to create than 2D content, for the future of the consumer 3D internet to scale, Blockade Labs has developed a robust AI-powered engine to deliver enterprise results in fractions of time and cost that “anyone can use”.
VOTE
iscribe health
With iScribe AI, have your documentation completed in seconds, not days.
iscribe health
"Clinical documentation requirements have been cited as a leading cause of physician burnout. Doctors spend an exorbitant amount of time in front of computers inputting patient notes, orders, and other data into electronic health records (EHRs) to meet billing and regulatory requirements.
This administrative burden detracts from their ability to focus on delivering high-quality care and connect meaningfully with patients. Surveys show that physicians can spend upwards of 50% of their day on EHR data entry and other documentation tasks.
iScribeHealth was founded specifically to address this problem plaguing physicians and the healthcare industry overall. Our AI-powered documentation platform aims to completely eliminate the EHR documentation burden for doctors.
VOTE
This administrative burden detracts from their ability to focus on delivering high-quality care and connect meaningfully with patients. Surveys show that physicians can spend upwards of 50% of their day on EHR data entry and other documentation tasks.
iScribeHealth was founded specifically to address this problem plaguing physicians and the healthcare industry overall. Our AI-powered documentation platform aims to completely eliminate the EHR documentation burden for doctors.
vectara
Vectara is an end-to-end platform for embedding powerful generative AI features into applications with extraordinary results.
Vectara
Vectara delivers the shortest path to a correct answer/action through a safe, secure, and trusted entry point. Vectara is a platform for companies with moderate to no AI experience that solves use cases including conversational AI, question/answering, semantic app retrieval and research & analysis. Vectara is founded by team members at Google who authored definitive early educational papers on LLM technologies. Vectara's CEO is the previous CTO of Cloudera and Developer leader at Google Dr. Amr Adawallah.
VOTE
newo.ai
Newo.ai - no-code builder of the Digital Employees. Unlike ChatGPT, Newo Agents can be connected to ERP, Jira undertaking entire human roles
newo.ai
"Newo Inc., a Silicon Valley-based company, is the creator of the drag-n-drop low-code builder of the Digital Employees. Digital Employees, also known as Digital Workers, Non-Human Workers, or Intelligent Agents, are software-driven entities with the ability to autonomously perform end-to-end work processes, leveraging a diverse skill set. Unlike other platforms like ChatGPT, Newo Intelligent Agents can seamlessly integrate with corporate ERPs, CRMs, and knowledge bases, enabling them to follow corporate guidelines and take on entire business functions.
VOTE
xethub
XetHub offers versioning designed for ML teams. Streamline your workflows with instant access to any asset anywhere.
xethub
"Everyone is racing to develop generative AI apps, but our tools weren’t designed for ML/AI use cases. This makes shipping slower, clunkier, and more error-prone. XetHub is a blob store that enables ML practitioners to instantly access, collaborate, and deploy TBs of models and data, streamlining prototype to production. Get automatic version control for petabyte-scale repositories, so you can always go back in time.
While building Apple’s internal ML data management platform (SIGMOD ‘19), co-founders Yucheng, Ajit, and Rajat noticed that every team experienced the same challenges when experimenting with large scale data.
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While building Apple’s internal ML data management platform (SIGMOD ‘19), co-founders Yucheng, Ajit, and Rajat noticed that every team experienced the same challenges when experimenting with large scale data.
Useful Sensors
We make interfacing with machines, everyday appliances, and electronic devices as easy as communicating with another human.
Useful Sensors
Pete is the founder and CEO of Useful Sensors, was one of the founders of TensorFlow at Google, and uncovered large data leaks at Facebook and Apple. He's going to be launching "AI in a Box" at the AI Conference (we'll be using it to provide live captions for talks).
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