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Strategy, Implementation, MLOps, Corporate R&D, and AI Management Systems.
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Working with the leadership team, an AI strategy is established for supporting your organization.
An investigative, iterative and solution-centric approach establishes the best projects for your organization's needs.
Connect the models to your stack, monitor their performance, and start owning the opportunity.
The relentless chase for the next best model ignores the main goal of technology: to accelerate and automate work. Let us help you navigate the world of machine learning to find the best opportunities for your business.
Fixed-Fee Work Plans
Full IP Ownership
Technical Knowledge Transfer
Cloud Provider-Agnostic
Our machine learning consulting services are built from the raw code to ensure performance, reliability, and explainability.
Learn MoreFor 5+ years Lemay.ai has assisted corporate clients in myriad fields with their adoption of AI/ML/DL solutions, and completed projects in 21+ countries. Our purpose as an AI consulting company is to help you on your digital transformation journey.
The company is an NVIDIA Preferred Solution Advisor, AWS partner, Official Canadian Federal Government AI Supplier, and top 3 in clutch.co ranking of AI Companies in Canada.
We've developed a range of artificial intelligence (AI), machine learning (ML), and deep learning (DL) solutions over the years. As the field has evolved, we continue to keep up to date with the rapidly changing landscape of data science and modelling tools.
We offer your team the full spectrum of machine learning project options, including Solution Architecture, Gap Analysis, AI Roadmap, Data Science, AI/ML/DL Model Training, Deployment, and MLOps.
To best serve our clients in the way they are most comfortable, we are very platform agnostic. To keep in touch, our clients use videoconferencing solutions including Zoom, Microsoft Teams, Google Meet, Skype for Business, GoToMeeting, Verizon BlueJeans, and Cisco Webex. To track work tickets on projects, we work with clients in JIRA, Asana, AzDO, github, gitlab, and more. For internal communication our teams regularly uses Slack, MS Teams, and literally conference calls on the phone. We meet you where you are, and take you to where you want to be.
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We love DigitalOcean. Several of our corporate servers are deployed as droplets in DO, and some of our startup clients are set up there too. Although GPUs are not available in DO, we do support CPU-based model deployment in droplets and containers, as well as CDN and volumes for data storage and distribution. We are happy mixing in load balancers, CloudFront and CloudFlare too.
Our team works with your networking, security, and operations teams to deploy using a variety of virtualization formats such as OVA, OVF, VMDK, and containers. We have deployed images based on RHEL, Ubuntu, Windows, and Debian.
As an AWS partner, many of our clients are deployed in AWS, and we support machine learning deployment patterns including EC2, EKS, and SageMaker. We also support dataset storage on S3, lightweight model deployment in lambda, and virtual database options such as RDS.
We support machine learning deployment in Azure DevOps in AKS, App Services, AzureML, and more. We also have managed projects and repos in AzDO. If you are deployed in Azure, we are here to help with your machine learning project.
Our team can assist you with model training and deployment within GCP. In addition, many of our clients utilize API services from Google, including NLU and search.
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