CloudFactory Limited
CloudFactory provides an enterprise AI platform and AI consulting, combining automation with a managed human-in-the-loop workforce to create high-quality AI datasets, train and align models, and validate/correct inference so AI can be trusted in production.
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Solution Highlights
Products
AI Consulting
Consulting services spanning advisory/strategy, discovery (blueprint), and design & build to translate AI vision into scalable, secure, and compliant AI implementations.
AI strategy
Discovery workshops
Solution design
Pricing
AI Engine
Operate AI in production with continuous monitoring, observability, risk/incident response, infrastructure optimization, and governance enforcement across cloud or on-prem environments.
Model monitoring
Observability
Risk management
Pricing
AI Platform
Enterprise-ready platform that integrates data preparation, model lifecycle management, inference oversight, governance, and scalable deployment for AI applications.
Lifecycle management
Inference oversight
Governance
Pricing
Data Engine
Data collection, curation, and annotation services to deliver AI-ready datasets with diversity, metadata enrichment, and AI-assisted pre-labeling.
Data collection
Data curation
Data annotation
Pricing
Inference Engine
Continuous inference validation, error handling, and evaluation to maintain trust, auditability, and performance in production AI predictions.
Inference validation
Error handling
Inference evaluation
Pricing
Training Engine
Model training support including prompt engineering, supervised fine-tuning, red teaming, and reinforcement learning from expert feedback to improve safety and alignment for high-stakes AI.
Prompt engineering
Fine tuning
Red teaming
Pricing
Performance
Medium-sized Company of the Year at The AI Journal Global Excellence Awards 2022
Carson Casey
Carson Casey • Direct
LineVision and CloudFactory are working together to help utilities reach a clean energy future, faster. We appreciate having a resource to focus on calibrating our data and making sure it’s accurate. Our partnership has allowed us to accelerate that work.
Dr. Michael Bewley
Dr. Michael Bewley • VP, AI & Computer Vision
CloudFactory has been working with us from the beginning to understand how we build a scalable model, how we become faster and more efficient, and how we get better at increasing the support we give our clients.
Anonymous
Anonymous • Company Founder
The space that I’m in is going through an evolution. If you don’t have AI capabilities, you’ll be left behind. But I can’t focus on the product if I’m swamped doing people management. CloudFactory takes that burden off of us.
Dr. Michael Bewley
Dr. Michael Bewley • VP, AI & Computer Vision
With a trained team, you get something you simply can't with crowdsourcing—accountability. In retrospect, this has had a huge impact for us, because the biggest limiting factor on the performance of the models is actually the quality of the labels, and how precise the definitions are.
Achieved 137% EBITDA Increase and Reduced Nurse Turnover 44%
A healthcare-focused initiative sought to improve patient care while strengthening financial performance. The customer needed to better understand nurse experiences to address operational and staffing challenges. These issues had impacted both care delivery and financial outcomes. The customer learned from nurses and applied AI-powered insights to identify improvement opportunities. The initiative implemented operational and staffing changes based on those insights. The approach aligned workforce decisions with patient care and financial objectives. The initiative delivered measurable improvements in financial performance and workforce stability. EBITDA increased by 137%. Nurse turnover decreased by 44%. These results supported stronger operations and improved ability to maintain patient care quality.
- 137% EBITDA increase
- 44% reduction in nurse turnover
Achieved 50% Better Driver Retention
MV Transportation
MV Transportation faced significant driver turnover and needed measurable improvements across the operator lifecycle. The organization required a way to strengthen retention while maintaining a strong focus on safety. It needed results that could be tracked and sustained over time. MV Transportation implemented an AI-driven approach to optimize driver retention and safety. The solution was applied across the operator lifecycle to identify opportunities to improve outcomes. This approach helped convert turnover challenges into a more structured, data-informed strategy. MV Transportation achieved a 50% improvement in driver retention. The initiative also reduced safety incidents, though no specific incident reduction figure was provided. These outcomes helped turn turnover into a competitive advantage.
- 50% improved driver retention via AI-driven retention optimization
Reduced Turnaround from Days to Minutes with 99% Accuracy
Financial Services Company
A financial services company faced slow document transcription that took days to complete. They needed to speed up turnaround without sacrificing quality. The existing process could not meet the required pace and reliability. They implemented a managed workforce to accelerate document processing and verification. This approach increased the capacity to transcribe documents quickly while maintaining quality controls. Verification steps were used to ensure outputs met the required standards. Turnaround time improved from days to just minutes. The work was completed with 99% accuracy. Faster processing enabled the company to handle document transcription more efficiently while maintaining high quality.
- 99% accuracy via managed workforce
- Reduced turnaround from days to minutes via accelerated processing and verification
Delivered 24,000 Labeled Images in 6 Months
Medical AI Company
A medical AI company needed to rapidly create labeled training data to stay ahead of the curve. They faced pressure to build a sizable dataset within a fixed timeline. They needed labeled data quickly to support their medical AI efforts. They scaled image annotation production to increase labeling capacity. They used this scaled approach to create the training dataset within the required timeframe. They implemented a process focused on producing labeled images efficiently. They labeled 24,000 images in 6 months. They built a sizable dataset on a fixed timeline. They met the timeline needed to support their training-data goals.
- 24,000 images labeled
- 6 months timeline completed
Qualifications
Customers
Badges
Performance across Human Cloud, as measured by company interest, kudos, and business case success.
Features
About CloudFactory Limited
CloudFactory is an AI consulting and AI platform provider focused on helping organizations develop, deploy, and operate trusted AI in production. The company combines AI-powered technology, automation, and a managed human-in-the-loop workforce to turn messy, unstructured, or incomplete data into high-quality datasets; to fine-tune and validate models; and to provide inference evaluation, validation, and error handling where reliability matters. Founded in 2010 in Kathmandu, Nepal, CloudFactory was built on the belief that talent is equally distributed, but opportunity is not. Over time it developed a repeatable approach to hiring, training, and managing a global AI workforce and delivering accountable, high-quality outcomes for customers. CloudFactory states it has helped over 700 clients build high-quality datasets and high-performing models and launch AI solutions. Following its acquisition of Hasty (an inference-centric AI data platform), CloudFactory positions itself as expanding beyond data labeling to support the full AI lifecycle, including inference-centric operations and continuous improvement through human-in-the-loop feedback. The platform is organized into modular engines—Data Engine, Training Engine, Inference Engine, and AI Engine—paired with enterprise AI consulting services (advisory, discovery, design & build) to move AI from idea/pilot to scalable production with governance, monitoring, and oversight.
Additional Details
Value-based pricing (not hourly) is stated for Damage Assessment solutions; no public price list provided.
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