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Enterprise Applied AI Solutions for Scalable Impact

Unlock intelligent automation, rapid deployment, and measurable outcomes with enterprise applied AI solutions. From AI pipeline automation to LLMOps and RAG pipelines, we help you operationalize the entire AI lifecycle—faster, smarter, and at scale.

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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 Across the AI Lifecycle

Data Pipeline Automation

Data Pipeline Automation

Eliminate bottlenecks with AI pipeline automation that cleans, enriches, and streams data in real-time—ensuring your models run on accurate, context-rich data.

Model Training

Model Training

Accelerate training with automated workflows for hyperparameter tuning and distributed compute—designed for scale and integrated into your MLOps platform.

Model Deployment

Model Deployment

Ensure high-performance, scalable AI model deployment across cloud, edge, or hybrid environments with version control and real-time inference.

Model Monitoring

Model Monitoring

Detect drift, bias, or performance drops with AI model monitoring and drift detection, using proactive alerts and intelligent dashboards.

MLOps

MLOps

Leverage an end-to-end MLOps platform with CI/CD pipelines, experiment tracking, and artifact management for reproducible, enterprise-scale operations.

Model Finetuning

Model Finetuning

Use domain-specific AI model customization to fine-tune LLMs on your proprietary data—enhancing precision, relevance, and business value.

Model Quantization

Model Quantization

Optimize for edge and mobile deployment with compression techniques that reduce latency and model size—without compromising accuracy.

Build NextGen RAGs (Retrieval-Augmented Generation)

Build NextGen RAGs (Retrieval-Augmented Generation)

Combine LLMs with your proprietary datasets to create retrieval-augmented generation (RAG) pipelines that deliver secure, context-aware answers.

Build and Deploy Chatbots

Build and Deploy Chatbots

Deploy LLM-based chatbots with domain logic and API integration—perfect for dynamic, enterprise-ready interactions.

Build Agentic AI

Build Agentic AI

Go beyond basic automation with Agentic AI for business automation—engineered for autonomous decision-making, task orchestration, and long-term goal pursuit.

LLMOps

LLMOps

Manage the full lifecycle of large language models with LLMOps for enterprise AI—from fine-tuning and compression to compliance, observability, and deployment.

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Our Success Stories

Enhanced customer experience with CloudAngles IP SmartOfficeNxt

Enhanced customer experience with CloudAngles IP SmartOfficeNxt

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Streamlining Operations and Enhancing Efficiency with SmartOfficeNXT

Streamlining Operations and Enhancing Efficiency with SmartOfficeNXT

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Improving bank's business services availability for end consumers

Improving bank's business services availability for end consumers

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mlangles platform delivers price prediction resulting in higher margins

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

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

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%

How mlangles AI-Driven Last-Mile Solution Reduced Delivery Costs by 60%

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What Scientists and Innovators Are Saying

Anil Kumar

President and Founder at Medford Pharma

mlangles is truly innovative. It’s a simplified, no-code platform that enables us to scale AI projects quickly and seamlessly, without the complexity. What sets it apart is how it empowers our business teams to effortlessly access and leverage AI models, allowing them to act on insights with speed and precision.

Mr. Prasad

VP business development at Technet

Exploring Cloudoptimax was a game-changer for our multi-cloud cost optimization. In just a few minutes, it identified underutilized resources and provided actionable insights. The predictive cost optimization, real-time anomaly detection, carbon credit tracking, and charity donation feature make managing cloud costs, reducing our carbon footprint, and supporting charitable causes effortless.

Deepak K

CTO at SBM management

As a CTO, I’ve seen firsthand how Cloudangle’s expertise has helped us build a strong data foundation. The team helped me to build a strong Data& AI foundation. The AI-automated data pipelines have helped us achieve a 75% reduction in data latency, and we now access insights twice as fast. The cloud-native architecture has unified our data ecosystem, accelerating our journey toward smarter, data-driven decision-making.

Mr. Prasad

VP business development at Technet

Exploring Cloudoptimax was a game-changer for our multi-cloud cost optimization. In just a few minutes, it identified underutilized resources and provided actionable insights. The predictive cost optimization, real-time anomaly detection, carbon credit tracking, and charity donation feature make managing cloud costs, reducing our carbon footprint, and supporting charitable causes effortless.

Muni Raju

President at Intelligent Systems

Testingaide unifies everything into one platform, powered by Agentic AI. Every step of the process is fully automated with intelligent agents, streamlining testing from start to finish. Since implementation, our team’s efficiency has soared by over 80%, making testing faster, smarter, and more reliable than ever.

Mr. Prasad

VP business development at Technet

After running a data migration with Dataixpress, I was thoroughly impressed. What used to be a ten-month migration process has now been reduced to just two weeks. The automated schema mapping worked flawlessly, and the ability to migrate both structured and unstructured data without any downtime is truly remarkable. This efficiency will have a significant impact on our timelines and costs.

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