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.
More customer stories
Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
Web Development Systems builds an AI sales intelligence agent on AWS with DoiT
Jupiter closes a 20% to 40% infrastructure spend visibility gap with DoiT
- 26
- Vendor’s data ingested
- From 60% to 100%
- Coverage of data
Software Projects accelerates a complex IBM-to-AWS migration with DoiT
- 3
- AWS MAP phases delivered: Assess, Mobilize, Modernize
- 40
- Servers migrated 1:1, preserving the full four-tier topology
- 2→1
- IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Flooid powers the future of retail with Google Cloud and DoiT
Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
Turning cloud costs into team action at Hippo
- Minutes
- Time to integrate Attribute™ with AWS
- Business unit
- Level of cost accountability achieved
Island gains true cost-per-customer visibility, without tagging
- $5B
- Company valuation
- Days
- Time to first insights
- 0
- Tags required
What they say
Partnership with DoiT is extremely significant. We've been able to grow significantly over the last year, mostly because we could reinvest our resources in new technologies instead of new internal resources.
Jason Hartin, CTO
On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
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
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
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.
Milad Rezazadeh, CTO
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
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.