Selected AI startups from YC’s Winter ’22 batch
Image Credits: Bryce Durbin / TechCrunch
Dozens of startups in Y Combinator’s Winter 2022 cohort do something that could be described as artificial intelligence. Though the term has lost much of its meaning, it’s still an important part of the tech landscape, and both using it and enabling it are fertile ground for new companies. Here are 14 notable startups from the latest batch.
Founded: 2022 in San Francisco, CA
By: Jay Chia, Sammy Sidhu
Building: A turnkey data warehouse for images and video. Eventual ingests, organizes and processes imaging data all on one platform. Also handles queries, simple integration with cloud providers and smart scheduling to save costs on compute.
Quote: “Currently users jerry-rig one together with multiple vendors or hard to manage open-source frameworks. We are a one-stop shop.”
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Founded: 2019 in Paris, France
By: Julien Cottineau, David Delbourgo
Building: An AI-powered platform for discovery and design of genomic therapies. Data science and databasing for “scientific, technical, biological, genomic, and experimental” data sets. Plus suggestions for experimental design and workflows.
Quote: “We help our customers develop more genomic medicines, faster, in leaner ways and make those revolutionary drugs more accessible to patients in need.”
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Founded: 2021 in Mannheim, Germany
By: Alex Conway, Sascha Lang
Building: An OS for production lines that records, digitizes and monitors factories with lots of workers. Includes real-time alerts, automated reports and photo-based quality control.
Quote: “We automate what the best supervisors would do if they watched everything that’s happening inside your factory.”
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Founded: 2021 in Singapore
By: Kushal Pillay and Ivo Verhaegh
Building: An automated inventory solution for warehouses. Lots of worker hours are used up doing this thankless task, so why not automate it? Powerhouse uses ordinary phones that count inventory using regular pictures taken by staff. It’s 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.”
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Founded: 2021 in Sydney, Australia
By: Ben Sand
Building: An ML training platform that focuses on ultra-high-performance and efficiency. By performing optimizations “around” a model (like pre-computing values, identifying bottlenecks and so on) they claim to be able to improve training times by orders of magnitude.
Quote: “The future of Cloud Computing, priced by performance not consumption.”
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Founded: 2021 in New York
By: Gaurav Bharaj, Benjamin Colman and Ali Shahriyari
Building: An easy to use tool with which companies can scan media for deepfake content. Produces alerts, report cards and other ways to visualize and take action against fake content.
Quote: “Empower humanity to recognize the truth.”
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Founded: 2020 in Canada
By: Rahul Anand and Rob McEwan
Building: A geospatial and satellite data platform for mining operations that pulls together multiple sources and offers a more efficient way to locate and organize mineral collection. Early cases have reduced lead times from a year to a few weeks.
Quote: “We’ll change mining more in the next five years than it has in the last 50.”
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Founded: 2021 in Pittsburgh
By: Omar Shams
Building: A machine learning-powered polishing engine for Python code and Jupyter notebooks. These notebooks are often cobbled together as experiments with no plan for being production code — but then one gets adopted as a popular tool and needs to be cleaned up. Mutable AI does this automatically, autocompleting, refactoring and minimizing quickly and easily.
Quote: “Be kind to your teammates and future self.”
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Founded: 2020 in Berlin, Germany
By: Fabio and Marcel Schmidberger, Erik Ziegler
Building: Voice-powered filling out of forms for healthcare workers. These folks spend hours doing paperwork, and it’s a sea of fields that need to be tabbed through and typed in. Voize lets them speak directly into a smartphone and it creates structured records from that.
Quote: “The digital voice assistant for non-desk workers.”
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Founded: 2021 in San Francisco
By: Hahnbee Lee and Han Wang
Building: An automatic code documentation engine that reads your code and safely inserts comments that put it in context. Coders don’t always have time to do that and it makes code auditing and reuse difficult — so having a tool that does it for them (at least to a basic degree) could save time and effort.
Quote: “Everyone suffers from documentation debt.” Also, regarding co-founder Han Wang, “Knows over 100 cow jokes.” We’ll see about that.
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Founded: 2016 in Helsinki, Finland
By: Hannes Heikinheimo and Otto Soderlund
Building: On-device speech recognition for apps that don’t want to have to call a cloud service. Doing any process locally is preferable, but until recently there was too much trade-off on the accuracy versus speed side. If Speechly can make quick and accurate speech recognition that easily fills in forms or summons relevant information, that’s one less online API call to make.
Quote: “Reduce cloud costs, enhance privacy and ensure zero-latency experiences by running Speechly directly on the end-users’ device.”
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Founded: 2021 in San Francisco
By: Christian Lau and Vaikkunth Mugunthan
Building: A plug and play federated learning platform for AI models in privacy-critical industries. Federated learning is an established technique and has already generated a lot of value, but it’s not the easiest thing to deploy. DynamoFL slips into training workflows that use private data and makes or keeps them private.
Quote: “In three minutes, we can plug our federated learning module into your existing ML workflow.”
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Founded: 2019 in Houston, TX
By: Alex Arevalos, Drew Hendricks and Hannah McKenney
Building: AI-powered home urinalysis using an in-bathroom spectrometer. Using a usually lab-bound device for identifying and detecting substances, Starling aims to catch things like bladder infections and other problems early, or do home monitoring that would normally involve bringing a urine sample in.
Quote: “What information did you just flush down the toilet?”
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Founded: 2021 in Berkeley, CA
By: Abhinav Ayalur and Mokshith Voodarla
Building: A dead simple video analysis platform that scans incoming video for things like people, objects and situations and returns that metadata quickly. Powers search, storage, moderation — anything you need to understand video to do.
Quote: “You never have to train a model or manage a data set. Just push video and get results.”
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