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Whether you're creating a new system, upgrading existing infrastructure, or optimizing your processes, we have the expertise your business needs.

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technologies in our toolkit
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years of hands-on experience
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successful projects under our belt
our core tech services
AI Adoption
Seamlessly integrate AI into your business for smarter processes
MLOps
Automate AI model management for faster innovation
DevOps
Streamline development and operations for quicker delivery
Kubernetes
Optimize container orchestration for scalable, resilient apps
Cybersecurity
Protect your digital assets with advanced security solutions
Cloud
Scale securely with cloud infrastructure tailored for growth
Infrastructure
Build reliable IT infrastructure for seamless operations
App Development
Build custom apps tailored to your business needs
UX/UI
Craft user-centric designs that boost engagement
success stories

- AI Adoption
- MLOps
- Kubernetes
- Cybersecurity
- Kafka
- Grafana
- Prometheus
- Defense & Military
- +8AI AdoptionMLOpsKubernetesCybersecurityKafkaGrafanaPrometheusDefense & Military

Enhancing advance MLOps platform
devopsbay worked with Algorithmia on a platform for managing AI/ML models. We implemented central management and flexible deployment options. We added integrations with Kafka and Bitbucket SCM. The results were faster model deployment, better scalability and lower operational costs. The client gained a comprehensive tool for managing the lifecycle of AI/ML models.

Optimize e-commerce costs
The {descrb} project aimed to optimise e-commerce costs by automating the creation of product descriptions. We used the synergy of NLP models and our own hosted LLama for better data control. We also implemented a Confidence Index to assess the quality of the content generated. The results? A reduction in description creation time from 30 minutes to less than a minute, an increase in conversions by 25% and traffic by 10%.

Change the data from chaos to clarity
devopsbay helped a multinational manufacturing company on a project to speed up the data preparation process by 70% by implementing DataRobot Data Prep. The project focused on automating the cleaning and transformation of data from multiple sources, significantly reducing the time required to prepare data for analysis.

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