Based in Israel, Qwak offers an all-in-one MLOps platform that enables data and research teams to build, train, deploy, monitor, and automate the entire ML pipeline. It unifies ML engineering and data operations, providing agile infrastructure that enables the continuous productionization of ML models at scale.
The platform supports collaborative work and features a model registry with a centralized registry for all ML needs, including experiment tracking and monitoring. The platform supports any type of ML model training including deep learning and large language models (LLMs) and provides one-click deployment options with observability features.
In addition, the platform includes a feature store that allows developers to share models and features across projects and a vector store that provides a secure and efficient solution for data ingestion, transformation into embedding vectors, and storage.
The company operates on a B2B sales model and offers a pay-as-you-go pricing model. It also has offices in the US.
Key customers and partnerships
Qwak has entered into partnerships with technology and service partners to deliver MLOps solutions. Some of the company’s partners include Tensorops, Bigdata Boutique, Directeam, and Argmax.ml. Among its customers are Lightricks, JLL, Notion, Windward, and Guesty.
Funding and financials
Qwak’s most recent round of funding was in March 2023 for USD 12 million from a Series A round led by Bessemer Venture Partners. The funds were to be invested in expanding and developing Qwak’s ML platform.
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