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Sweeeft.ai Trains AI Models 4.4x Faster

DoiT re-architected their AWS SageMaker stack and tuned auto-scaling inference endpoints to unlock scalable, cost-optimized AI workloads.

Cloud Intelligence™
Sweeeft.ai

Meet Sweeeft.ai

Sweeeft.ai is a pioneering HR technology startup harnessing artificial intelligence to transform how organizations manage human resources. The platform revolutionizes HR operations by automating critical tasks such as recruitment, talent assessment, and training. Leveraging advanced technologies like large language models and behavioral analysis algorithms, Sweeeft.ai streamlines candidate screening, matching, and evaluation. The company offers customizable and scalable solutions with flexible configurations tailored to each organization's unique requirements.

The Challenge

Sweeeft.ai needed to architect an AI-ready, cloud-native foundation but lacked in-house cloud expertise. The company encountered significant obstacles migrating AI workloads to Amazon SageMaker, with models failing during training due to version incompatibilities between SageMaker Deep Learning Containers, PyTorch, and Hugging Face Transformers.

The Solution

DoiT conducted a comprehensive assessment and recommended a cloud-native AWS approach. The team determined optimal combinations of Python, PyTorch, and HuggingFace versions compatible with AWS Deep Learning Containers. DoiT implemented auto-scaling policies on SageMaker asynchronous inference endpoints and provided training to enable independent operation.

Results

  • Achieved 4.4x acceleration in training time for AI workloads
  • Increased productivity by 62% through optimized infrastructure
  • Enabled HR teams to reduce hiring time by up to 60%
  • Eliminated unnecessary resource consumption during idle periods with auto-scaling

Through the assistance of Doit, we were able to successfully migrate our LLM workloads to AWS using SageMaker. Rather than simply transferring our existing infrastructure, DoiT enabled Sweeeft.ai to embrace a cloud-forward architecture, swiftly implementing cutting-edge generative Al innovations and expanding our capabilities. These innovations are helping us help our own customers, enabling global HR teams to reduce their hiring time by up to 60%.

Verona Selimaj, International Development Lead, sweeeft.ai

See how DoiT helps cloud teams control spend

Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.

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What they say

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Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.

Paul White, VP of Engineering, Shasta Cloud

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Martin Lee, Director of Operations

Finlex

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

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Hippo

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

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