Model Serving for
Real-time AI Delivery

At Webority Technologies, we design and deploy Retrieval-Augmented Generation (RAG) systems that enhance the factual accuracy and contextual intelligence of Large Language Models (LLMs). By connecting LLMs to enterprise data sources, we enable AI applications to retrieve verified information before generating responses. This approach allows organizations to leverage the power of generative AI while maintaining reliability, transparency, and domain-specific relevance across their workflows.

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Model Serving that scales with your Workloads

Model Serving transforms trained models into live endpoints for real-time or batch inference. It manages concurrency, autoscaling, resilience, and lifecycle operations such as blue-green rollouts and safe rollbacks. We emphasize observability, security, and cost governance so every prediction is fast, traceable, and compliant with enterprise standards.

Delivering Tailored Intelligence for Industry-Specific Use Cases

Supporting real-time decisioning, automation, and personalization across distributed enterprise environments.

Decision APIs

Expose LLMs and ML models to drive personalization, scoring, and workflow automation.

Auto scaled Inference

Ensure consistent low latency and reliability during traffic surges and seasonal peaks.

Testing Framework

Conduct A/B and shadow testing to assess model accuracy and rollout safety.

Edge Serving

Deploy AI models close to data sources for privacy, speed, and compliance.

APP Integration

Integrate inference seamlessly into CRM, ERP, and enterprise workflow environments.

Technology Stack

FastAPI, Ray Serve, and Kubernetes ensure scalable, low-latency model deployment.

Model Serving That Ensures Operational Control

Monitored, versioned pipelines that support safe rollouts and lifecycle governance.

Unified Deployment

End-to-end serving pipelines ensuring low-latency, scalable model performance across environments.

Model Gateways

Fine-tuning Optimized routing and batching systems for efficient, reliable inference delivery.

Live Monitoring

Real-time tracking dashboards for latency, throughput, and prediction health metrics.

Version Control

Safe model rollouts with rollback, A/B testing, and lifecycle management.

Secure Access

Authentication and encryption layers safeguarding APIs and enterprise endpoints.

Our Journey, Making Great Things

Clients Served

Projects Completed

Countries Reached

Awards Won

Why Scalable Model Serving powers Enterprise AI Success

Delivering low-latency, governed, and resilient intelligence for business-critical applications.

Higher
Reliability

Redundant architectures and automated failover keep models available.

Low Latency

Optimized hardware use with batching, caching, and acceleration.

Operational
Agility

Scale, test, and update models without service interruption.

Performance Transparency

Deep observability for capacity and quality management.

Enterprise Confidence

Predictable, compliant delivery for business-critical workloads.

What Our Clients Say About Us

“Webority helped us move from a manual, delayed inspection process to a centralised system with real-time visibility. Compliance tracking is now foster and more reliable”

Moumita Chandra

SENIOR ASSOCIATE, CLASP

“Webority really made the ordering process smooth for us. They understood our environment and gave us a solution that just works with no unnecessary complications”

Ankit Chansoria

PARLIAMENT OF INDIA

“Really enjoyed the process working with Webority, which helped us deliver quality to our customers Our clients are very satisfied with the solution.”

Prasanta Kumar

CEO, ComplySoft

“Loved the post delivery support services provided by Webority, seems like they're only a call away. These guys are very passionate and responsive”

Balaji Srinivasan

Cto, Dreamfolkd

“Like most businesses, we did not see the value of website maintenance until we witnessed how much goes on weekly, quarterly, and annually to ensure our website is running smoothly and error-free. While we are NotOnMap, we didn’t want to be NotOnGoogle, and Webority Technologies’ maintenance services have surely taken care of that.”

Kumar Anubhav

CEO, NotOnMap

“Weddings and parties immediately transport one to beautiful set-ups at a mere mention. While we were busy making our venues flawless, we forgot that our website was the first impression we were creating on our potential clients. We hired Webority Technologies to redo our website, and it looks just as great as our actual work! It’s simple and classy. The number of visitors on our website has doubled after the redesign, and we have also achieved a 38% conversion rate.”

Amit Sahu

CEO, PnF Events

“Webority Technologies has made our website stand out with its minimalist design. The hues of browns and greys draw the eye, and our call to action and services remain the highlights! The entire website is so well organised in terms of information that it not only draws the reader in but keeps them on the page with relevant information—just what works with law firms!”

Sapnaa V Maliik

Founder, Legal Eagle’s Eye

“Our website has opened up a whole lot of new avenues for us! It beautifully showcases the expertise and knowledge of our stylists, our products, and our services. Webority Technologies gave us more than a mere online presence. For those who haven’t visited our salon in person yet, our website provides the same experience we wish all our customers to have first-hand.”

Poonam Singh

Owner, Charmante

“Most websites in our industry are complicated and daunting—just as our work appears to be. Webority Technologies understood exactly what I needed. We now have a website that is informative, simple, intuitive, responsive, and secure! These days, when one can nearly do everything on financial websites, this is exactly what we needed to make our website exceptional and not just functional.”

Jatin Kapoor

Founder, Credeb Advisors LLP

Any More Questions?

How does model serving ensure real-time AI performance?

Serving platforms manage concurrency, autoscaling, batching, and low-latency routing so models respond reliably even under heavy load.

What makes enterprise model serving different from simple API deployment?

It includes monitoring, lifecycle management, blue-green rollouts, failover, security layers, performance audits, and cost governance.

Can model serving support edge or hybrid cloud environments?

Yes. Models can run at the edge for privacy and speed or in the cloud for scalability, depending on business requirements.

How are model updates deployed safely in production?

Using versioning, A/B testing, shadow testing, and rollback controls that ensure no service disruption or unexpected model behavior.

What metrics are most important in model serving pipelines?

Latency, throughput, error rates, grounding accuracy (for RAG), token efficiency, and usage insights for capacity forecasting.

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