Dozens of startups from the Y Combinator Winter 2022 group are engaged in what can be called artificial intelligence. While the term has lost much of its meaning, it is still an important part of the technology landscape, and both its use and implementation are fertile ground for new ventures. Here are 14 notable startups from the latest installment.
Established: 2022 in San Francisco, California.
TO: Jay Chia, Sammy Sidhu
Construction: Ready-made data storage for images and videos. Any recording, organization and processing of image data on one platform. Also handles requests, provides easy integration with cloud providers, and intelligent scheduling to save computing costs.
Quote: “Currently, it is difficult for users to manage multiple vendors or open source platforms. We are a general store.”
TK Quick Tech™: Many companies need some sort of image analysis pipeline, and building a one-stop shop is the right approach to market. However, it can be difficult to retain customers who start out on a large scale and are equal in value.
white laboratory of genomics
Established: 2019 in Paris, France
TO: Julian Cutino, David Delburgo
Construction: An AI-powered platform for the discovery and development of genomic therapies. Data science and databases for “scientific, technical, biological, genomic and experimental” datasets. Plus suggestions for experimental design and workflow.
Quote: “We are helping our clients develop more genomic drugs faster and more cost-effectively, and make these revolutionary drugs more accessible to patients in need.”
TK Quick Tech™: AI drug discovery is hot, but few have created serious value. Still, of course, it’s promising, and specializing in genomic therapy is a good idea. How they will do the Woolier workflow and design, I don’t know.
Established: 2021 in Mannheim, Germany
TO: Alex Conway, Sasha Lang
Construction: A production line management system that registers, digitizes and controls factories with multiple workers. Real-time alerts, automatic reports, and photo-based QC are included.
Quote: “We automate what the best supervisors would do if they were to keep track of everything that happens in your plant.”
TK Quick Tech™: If that’s what Amazon is already doing, then it’s a short trip to hell for workers. But if they can make it humane and useful, many factories will see it as a way to integrate multiple tracking tools.
Established: 2021 in Singapore
TO: Skilled Pups and Ivo Verhege
Construction: Automated warehouse inventory solution. This thankless job takes a lot of work hours, so why not automate it? The power plant uses regular phones that calculate stocks using generic photos taken by employees. This is part of a broader effort to make warehouses smarter and more efficient.
Quote: “They just take a picture with their phone and our software counts the boxes.”
TK Quick Tech™: I thought the host said 97% accuracy, but the site says 99%. I don’t do inventory at this time, but hopefully it can be relied upon so much that it doesn’t need to be counted manually.
powerful computing power
Established: 2021 in Sydney, Australia
TO: Ben Sando
Construction: A machine learning training platform focused on ultra-high performance and efficiency. They claim to reduce training time by an order of magnitude by performing optimizations “around” the model (e.g., precomputed values, identifying bottlenecks, etc.).
Quote: “The Future of Cloud Computing, Value Based on Performance, Not Consumption.”
TK Quick Tech™: Frederic saw this a few weeks ago and it looks like a good luxury competitor that fits in nicely with existing solutions.
defender of reality
Established: New York 2021
TO: Gaurav Bharaj, Benjamin Coleman and Ali Shahriari
Construction: An easy-to-use tool that allows companies to scan media for deepfake content. Generates alerts, report cards, and other ways to visualize and act on counterfeit content.
Quote: “Let humanity know the truth.”
TK Quick Tech™: It will almost certainly be an arms race, but a low-hanging fruit pickup device will be needed to prevent oceans of fake profiles, spam material, lightly shunted. However, their methods are constantly being improved, which cannot be cheap or easy.
Established: in Canada 2020
TO: Rahul Anand and Rob McEwan
Construction: A mining geospatial and satellite data platform that aggregates multiple resources and provides a more efficient way to discover and organize mineral collections. Initial cases reduced the processing time from a year to a few weeks.
Quote: “In the next five years, we will change mining more than in the last 50 years.”
TK Quick Tech™: There has been a lot of movement in the mining industry lately, which is perhaps a sign that this historic industry is investing significant resources in modernization. This is a promising entry point right now.
Established: 2021 in Pittsburgh
TO: Umar Shams
Construction: Machine learning based polishing engine for Python Code and Jupyter Notebooks. These notebooks are often bundled as experiments that are not intended to be used in production code, but then one of them is accepted as a popular tool and needs to be cleaned up. Responsive AI does this automatically, with autocomplete, refactoring, and minimization quick and easy.
Quote: “Be kind to your teammates and the future.”
TK Quick Tech™: Will it be useful? Maybe… I had to use a hacked notepad and I don’t want to do it all the time. Is there a big market for this? Hard to say. The company appears to have been born out of the founder’s own frustration with machine learning research, so perhaps others like him are looking for it.
Established: 2020 in Berlin, Germany
TO: Fabio and Marcel Schmidberger, Eric Ziegler
Construction: Voice-filled forms for healthcare professionals. These guys spend hours doing paperwork and it’s a sea of fields to browse and type. With Voize, they can speak directly into the smartphone and structured recordings are created from it.
Quote: “Digital Voice Assistant for Non-Working Employees”.
TK Quick Tech™: Saying medical information out loud as you walk seems like a big no-no… I feel like there’s a reason it was done that way. But, of course, medical records must be streamlined.
Established: 2021 in San Francisco
TO: Hanby Lee and Han Wang
Construction: An automatic code documentation mechanism that reads your code and safely inserts comments that put it in context. Programmers don’t always have time for this, and this makes testing and code reuse difficult, so having a tool that does this for them can (at least to some extent) save time and effort.
Quote: “Everyone suffers from documentation debt.” Also about co-founder Han Wang: “Knows over 100 cow jokes.” We’ll see.
TK Quick Tech™: Proof of this is under development, but I’m sure many companies will be happy to say that every line of code is explained. “Cotton it before you send it to me next time!”
Established: 2016 in Helsinki, Finland
TO: Hannes Heikinheimo and Otto Soderlund
Construction: On-device voice recognition for apps that don’t want to call the cloud service. It’s better to run each process locally, but until recently there was a huge trade-off between precision and speed. If Speechly can create fast and accurate speech recognition that easily fills out forms or retrieves the information you need, that means one less online API call.
Quote: “Reduce cloud costs, improve privacy, and deliver zero latency by delivering speech directly to the end user’s device.”
TK Quick Tech™: Others are certainly inclined towards this (including monsters like Google and Amazon), but having a free and functional solution can go a long way for app developers who want their code to be as local as possible.
Established: 2021 in San Francisco
TO: Christian Lau and Vaikunt Muguntani
Construction: Plug-and-play federated learning platform for AI models in industries where privacy matters. Federated learning is an established technology that has already brought great benefits, but it is not easy to implement. DynamoFL joins a learning workflow that uses personal data and keeps it private.
Quote: “In three minutes, we can integrate our federated learning module into your existing machine learning workflow.”
TK Quick Tech™: If federated learning were easy to use, more specialized areas would have the potential to implement machine learning models in healthcare, finance, and other sectors. Whether they can maintain the overall ease of use that other machine learning tools cultivate is a question mark.
Established: 2019 in Houston, Texas
TO: Alex Arevalos, Drew Hendrix, Hannah McKenny
Construction: Home AI urinalysis using a spectrometer in the bathroom. Using mostly lab equipment to identify and detect substances, Starling tries to catch things like bladder infections and other problems early, or do home monitoring, which usually includes urine tests that need to be brought in.
Quote: “What information did you just flush down the toilet?”
TK Quick Tech™: Depending on how easy it is to use, it could become the new standard tool for many medical preventive cases. I see it everywhere in two years.
Established: 2021 in Berkeley, California
TO: Abhinav Ayalur and Mokshit Wooderla
Construction: A very simple video analytics platform that scans incoming video for people, objects, and situations and quickly returns that metadata. Includes search, archiving, moderation – everything you need to understand the video.
Quote: “You don’t need to train the model or manage the dataset. Just click on the video and get the result. ,
TK Quick Tech™: I just wrote about a company called Twelve Labs doing something similar and it seems like a promising place. It’s hard to choose winners at this stage, a lot will depend on new use cases for the video.