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Qwak build system adds “traditional” build processes to machine learning (ML) models and allows data scientists to build an immutable and tested production-grade artifact.
Qwak build system standardizes an ML project structure that automatically versions data, code, and parameters for every model build.
Qwak Serving allows deployment of scalable models to production with one click, which reduces the friction between data science and engineers.
Qwak Serving enables teams to deliver prediction services in a fast, repeatable, and scalable way, including advanced metrics, logging, and alerting capabilities.
Qwak Lake is a fully managed data lake that comes as an off-the-shelf product with the Qwak Platform. In Qwak Lake you can find all your inference, feedback, and baseline data for each model and its different versions (aka builds).
The Qwak Lake data can be accessed directly via the Qwak SQL interface on the Analytics page, or via any other query or data processor engine.
Qwak’s Feature Store allows data scientists (DSs) and machine learning (ML) engineers to collaborate effectively and quickly among themselves and with the R&D organization. It’s an easy way to develop features using batch and real-time data sources and serve them in production instantly. Discover and reuse available feature sets for their entities, instead of re-creating the same or similar ones.
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Qwak Automations allows configuring triggers based on all the different model “layers,” infrastructure, data, and statistics. They also allow you to run actions — whether they’re Qwak internal like triggering a Qwak Build (retrain and log version) & deployment, or external (like calling external APIs and integrating with third-party applications). Using Qwak Automation allows you to make sure your models are always under watch and can also heal themselves and revert to below the threshold you’ve defined. Qwak Automation is crucial when models are part of the production environment.
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We are a team of builders with many years of experience building ML environments from scratch. Harnessing everything we know and learn, we’re on a mission to help companies build ML-driven products FASTER than their competitors. Qwak is the single, compressed platform that achieves this goal… and more.
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Qwak allowed us to increase and scale our ML footprint by enabling our data science team to independently manage, build, and deploy their trained models to production in minutes. With Qwak we successfully decoupled our data team work and our engineering team work and as result we can bring more models to production with less hussle
Qwak allowed us to increase and scale our ML footprint by enabling our data science team to independently manage, build, and deploy their trained models to production in minutes. With Qwak we successfully decoupled our data team work and our engineering team work and as result we can bring more models to production with less hussle
Qwak allowed us to increase and scale our ML footprint by enabling our data science team to independently manage, build, and deploy their trained models to production in minutes. With Qwak we successfully decoupled our data team work and our engineering team work and as result we can bring more models to production with less hussle
