Our engineers, product managers, designers, and data scientists innovate together to accelerate our work in AI and help solve business problems at speed and scale.
Our industry-shaping technology is the lifeblood of QuantumBlack, AI by McKinsey, because we aspire to stay at the cutting edge of technology while maintaining the reliability and scalability of our work.
At the forefront of our innovation is QuantumBlack Horizon, a suite of modular tools that brings software engineering learning to AI. This technology accelerates AI adoption across various industries, enhancing success rates. We also offer proprietary, industry-specific applications that unlock unique impact, demonstrating our commitment to tailored AI solutions.
Dynamic R&D efforts and an unswerving dedication to open-source software bolster our strategy. In the fast-paced technology landscape, we aim to disrupt delivery models and leverage advanced technologies with generative AI. Our commitment to shareable, iterative technology reflects our belief in collaborative knowledge sharing, enabling us to contribute to and benefit from the global tech community.
Studio
Studio provides teams with a secure, collaborative and structured space to manage data and analytics projects. Studio automatically generates powerful visualizations from metadata, which can be used to align stakeholders and teams throughout the project.
Our PRODUCTS
QuantumBlack Labs
R&D projects
300+
proprietary tools
25+
Brix
An internal code-sharing platform for analytics assets, ranging in size from small code snippets to end-to-end data pipelines - ensuring none of our team reinvent the wheel when attempting to solve similar problems.
QuantumBlack Horizon enables our teams to codify domain knowledge into reusable assets that can be deployed into client environments and unlock new scales of impact.
Propelling AI adoption with speed and impact
By sharing knowledge, we all learn more and improve faster.
We make our work available to the world
open-source projects
CausalNex
An open-source Python library that leverages Bayesian Networks to help data scientists infer causation, rather than observing correlation.
CausalNex on GitHub
Documentation
Our center of learning dedicated to driving innovation and experimentation in AI
At QuantumBlack Labs, we bring together people and technology to push the boundaries of what’s possible with data and artificial intelligence.
Alloy
Alloy is our framework for ensuring our expanding ecosystem of reusable assets and components are interoperable, maintainable and sustainable.
Layer
QuantumBlack Layer is our proprietary solution that solves that problem. By providing a flexible, foundational layer for their ML infrastructure we enable organizations to jump from limited prototypes to hundreds of monitored and maintained models in production
Diagrams
Diagrams is a visualization tool that allows users to quickly and easily explore their data landscapes using DBML markup to map out entities, relationships and data layers to produce rich, interactive Diagrams which can then be shared with teams and stakeholders.
open-source projects
5
Kedro
An open-source python framework for building data pipelines that are robust, scalable—and easily deployed and reproduced. In 2022, we donated Kedro to the Linux Foundation, making it available to the worldwide community of developers.
Kedro on GitHub
Explore the Kedro Blog
Iguazio
A holistic machine learning operations platform called Iguazio which includes machine learning operations (MLOps) orchestration, serverless automation, continuous integration and delivery (CI/CD) for machine learning, an online- and offline-feature store, and model monitoring. It extends our open-source tools, including MLRun—Iguazio’s MLOps orchestration framework—and Nuclio, a serverless functions framework.
Nuclio
Nuclio is an open source, serverless platform used to minimize developmental overhead, increase performance,
and automate the deployment of
data-science applications. It is one of
the foundational technologies used
in Iguazio.
MLRun
MLRun offers an integrative approach
to manage your machine learning pipelines from early development and deployment to management in your production environment. It offers a convenient abstraction layer to a wide variety of technology stacks. It is one
of the foundational technologies used
in Iguazio.
Vizro
Provides an extensive library of visualizations and intuitive dashboards to allow frontline business leaders to make decisions and take actions based on model outputs.
MLRun on GitHub
Explore MLRun
Nuclio on GitHub
Explore Nuclio
Vizro on GitHub
Documentation