Spell, a NY-based startup has developed an innovative MLOps (machine learning operations) platform for the SMB market. Organizations can run ML experiments and workloads cost-effectively using features that fully automate the entire process. The platform leverages the latest in GPU
Open-source AutoML tools are rapidly becoming dominant in the entrepreneurial landscape. These solutions help enterprises implement and scale their ML and AI projects. AutoML open-source tools automate the entire life cycle of ideating, conceptualization, development, and deployment of predictive models.
When it comes to developing deep learning predictive models, there are several stages to building a model from raw data. In the first stage, it must be determined if AI can be of use and how, thus, what specific problems
San Francisco startup Weights & Biases (WB) is making a name for itself in the AI tools market. As an “experiment tracking platform for deep learning”, WB allows users to collaborate, “visualize model performance”, and track model versions, code, workflows,
The AI race in different regions of the world continues. The US leads in both quantitative and qualitative metrics, where quantitative is measured in the number of startups and qualitative is based on a value system that assigns points to
The rapid growth in AI is having a big impact on the development and sale of specialized chips. Allied Market Research noted in the Artificial Intelligent Chip Market Outlook that AI chip sales are predicted to grow from $6.6B in
Ople, the San Mateo startup is on a mission to provide AI solutions that are “easy, cheap, and ubiquitous” to data scientists around the world. Pedro Alves, who is working on his Ph.D. in computational biology founded the startup in
Santa Clara startup Deepen AI has developed an annotation and labeling tool for autonomous systems using deep learning and advanced computer vision. The tool works with 2D, 3D, and 4D environments, that can annotate and label each scene and frame
Determined AI, a San Franciso-based startup has built an AutoML platform that provides a comprehensive set of deep learning services including AI workflows, data management, model training, deployment, automation, visualization tools, and GPU cluster management. Co-founders Evan Sparks and Neil
Datasets are a critical part of machine learning. Any company of sufficient size will have unique domain-specific data in which they can create private datasets. The right data is helpful in building effective AI models that can improve efficiencies and
AI research startup RealityEngines.AI is in the midst of introducing an AI cloud-based service focused on helping organizations deploy machine learning. The startup stands out for three reasons. First, Eric Schmidt is an investor, along with Ram Shriram (early Google
Los Alamos National Lab spinoff Descartes Labs just raised $20M in Series B, bringing its total $58M. Also, DARPA is one of the organizations backing the startup, having provided $7.2M in 2018. The startup refers to itself as a data
The AI startup ecosystem is thriving. Find any problem in any industry, whether it’s in eCommerce, manufacturing, insurance, medicine, airlines, or anywhere else, and there are likely to be a dozen AI startups that can address the problem in some
In 2018, a total of 466 AI companies raised $9.3B in funding, up from $5.4B in 2017, an increase of 72%, according to a PWC Moneytree report. The AI industry is evolving rapidly and it’s much bigger than any single
