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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Kuano AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Alzheimer's Research UK Non Profit 244 $72M United Kingdom Kuano Kuano AI ML and Data Science Platforms 2021 n/a
In 2021, Alzheimer's Research UK implemented Kuano AI in a research collaboration with the UCL Drug Discovery Institute to identify NOTUM enzyme inhibitors in the United Kingdom. Kuano AI was deployed as an ML and Data Science Platforms solution to support drug discovery and research and development functions at the institute, linking computational design to experimental validation workflows. The implementation focused on Kuano AI transition-state quantum simulation and AI-driven hit-generation modules described in the Kuano announcement. Configuration and usage centered on in silico quantum transition-state modelling combined with machine learning guided hit generation to produce prioritized chemical candidates for testing, aligning Kuano AI with cheminformatics, virtual screening, and hit prioritization workflows common to ML and Data Science Platforms. Operational integration routed Kuano AI outputs to the UCL Drug Discovery Institute for experimental testing and validation, creating an in silico to in vitro handoff under the research collaboration. Governance and process responsibilities were split between Alzheimer's Research UK coordinating computational study scope and the DDI executing experimental assays, establishing Kuano AI as a computational R&D tool within the organization’s research technology stack.
Kuano Professional Services 20 $1M United Kingdom Kuano Kuano AI ML and Data Science Platforms 2024 n/a
In 2024, Kuano implemented Kuano AI within the ML and Data Science Platforms category to formalize its data science and model delivery capabilities for its professional services business. The deployment is cloud native and uses containerized model runtimes with a centralized model registry to support development through production workflows and reproducible pipelines. Kuano AI is configured with core modules typical of ML and Data Science Platforms, including experiment tracking, feature engineering and data pipeline orchestration, a model registry, deployment orchestration and inference endpoints, and monitoring for model performance and data drift. Operational coverage centers on data science, consulting and product teams, centralizing dataset access and enforcing role based governance through model versioning and approval workflows, while integrating with continuous integration practices for pipeline testing and model promotion.
Onco-Innovations Canada Life Sciences 10 $1M Canada Kuano Kuano AI ML and Data Science Platforms 2025 n/a
In 2025 Onco-Innovations Canada engaged Kuano AI in a pilot collaboration to apply a quantum enabled AI platform to accelerate design and optimisation of PNKP inhibitors for drug discovery and R&D in Canada. The Kuano AI deployment is positioned within ML and Data Science Platforms and targets delivery of structural binding models, validated platform outputs and candidate compound designs as stated in the collaboration announcement. The implementation focuses on Kuano AI functional capabilities, inferred from the press release to include Kuano quantum molecular modelling branded Quantum Lens and generative AI compound design capabilities. Configuration indicates an emphasis on quantum molecular modelling for binding prediction, generative compound enumeration for candidate design, and a validation pipeline to produce platform verified structural models suitable for experimental follow up. Operational scope for the pilot is concentrated in Onco-Innovations research and development workflows, specifically computational chemistry and medicinal chemistry decision processes supporting PNKP inhibitor technology development. The collaboration frames outputs from Kuano AI as inputs to experimental validation and candidate triage rather than production manufacturing or clinical systems. Governance for the pilot is organized around iterative validation cycles, model output review by cross functional scientific teams, and defined acceptance criteria for candidate designs prior to laboratory testing. The engagement is described as a research mode pilot with future expansion contingent on validation outcomes and platform performance.
Education 8369 $1.2B United Kingdom Kuano Kuano AI ML and Data Science Platforms 2025 n/a
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FAQ - APPS RUN THE WORLD Kuano AI Coverage

Kuano AI is a ML and Data Science Platforms solution from Kuano.

Companies worldwide use Kuano AI, from small firms to large enterprises across 21+ industries.

Organizations such as University of Bristol, Alzheimer's Research UK, Kuano and Onco-Innovations Canada are recorded users of Kuano AI for ML and Data Science Platforms.

Companies using Kuano AI are most concentrated in Education, Non Profit and Professional Services, with adoption spanning over 21 industries.

Companies using Kuano AI are most concentrated in United Kingdom and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Kuano AI across Americas, EMEA, and APAC.

Companies using Kuano AI range from small businesses with 0-100 employees - 50%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 0%.

Customers of Kuano AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Kuano AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.