Intelligence in Action: Scalable AI for Real-World Impact
Unlock intelligent automation, rapid model deployment, and enterprise-grade AI performance. From pipelines to production, we help you apply AI where it matters most—faster, smarter, and with measurable results.
The Real-World Results of Smarter AI
Of enterprises adopting MLOps see faster time-to-value and more reliable AI outcomes.
Reduction in model deployment time through AI lifecycle automation.
Of AI leaders say fine-tuning and RAG pipelines are key to achieving domain-specific LLM success.
Applied Intelligence at Every Stage of the AI Lifecycle
Data Pipeline Automation
Eliminate bottlenecks with AI-driven data pipelines that clean, enrich, and stream data in real-time. Power your models with accurate, context-rich data at every step.
Model Training
Accelerate model development using automated training workflows with support for hyperparameter tuning, distributed training, and GPU optimization—at scale.
Model Deployment
Deploy models across hybrid environments—cloud, edge, or on-prem—with robust versioning, rollback support, and real-time inference serving.
Model Monitoring
Track model drift, performance degradation, and bias using intelligent dashboards. Get alerts before issues impact outcomes.
MLOps
Operationalize the ML lifecycle with CI/CD pipelines, experiment tracking, and artifact versioning—ensuring reproducibility, collaboration, and scale.
Model Finetuning
Customize pretrained models using your proprietary data—enhancing relevance, accuracy, and domain fit with minimal overhead.
Model Quantization
Reduce model size and inference latency without sacrificing accuracy. Ideal for deploying AI to mobile, edge, and low-power devices.
Build NextGen RAGs (Retrieval-Augmented Generation)
Combine LLMs with your data sources for accurate, context-aware responses. Build secure, scalable RAG pipelines with full traceability.
Build and Deploy Chatbots
Design domain-specific, role-based chat interfaces using LLMs and agent logic. Integrated with APIs, databases, and internal systems for dynamic interactions.
Build Agentic AI
Move beyond simple prompts. Engineer multi-step, goal-driven AI agents that autonomously reason, plan, and act—enabling complex automation.
LLMOps
Manage the full lifecycle of large language models—from fine-tuning and compression to deployment, observability, and compliance—across hybrid environments.
Our Success Stories
Enhanced customer experience with CloudAngles IP SmartOfficeNxt
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Streamlining Operations and Enhancing Efficiency with SmartOfficeNXT
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Improving bank's business services availability for end consumers
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mlangles platform delivers price prediction resulting in higher margins
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Enhancing Visibility and Driving Growth: Transforming Order Management for a Leading Food Manufacturer
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Transforming Medical Coding with AI: A MedCodeX Success Story
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How mlangles AI-Driven Last-Mile Solution Reduced Delivery Costs by 60%
DownloadWhat Scientists and Innovators Are Saying
in San Francisco, USA
