Dwarka Sector-19, Delhi – 110075, India

Proven Execution.
Real-World Impact.

Explore how DeepOrbit transforms complex engineering challenges into scalable, secure, and production-ready digital solutions across AI, healthcare, fintech, cloud, and industrial IoT.

68 %
Latency Reduction

Multi-agent conversational AI IVR platform.

96.4 %
Diagnostic Sensitivity

Medical AI micro-calcification screening.

10 x
Throughput Capacity

Multi-tenant retail SaaS microservices.

99.99 %
Production Uptime

Zero-downtime Kubernetes infrastructure.

ENGINEERING PORTFOLIO

Featured Client Case Studies

In-depth technical breakdowns of production systems architected and delivered by DeepOrbit.

AI & AUTOMATION • CONVERSATIONAL VOICE

AI-Based Multi-Agent IVRS

Deployed in Production

An intelligent voice-response platform utilizing multi-agent AI architecture to autonomously orchestrate conversations, execute live back-office queries, and handle complex customer inquiries with natural conversational latency.

1. Challenge

High caller abandonment rate (42%) and rigid traditional IVR menu trees creating severe call routing bottlenecks.

2. Architecture

Multi-agent LangChain/LlamaIndex backend with streaming speech synthesis and live CRM webhook connectors.

3. Engineering

Async Python FastAPI microservices, Redis vector cache, and Kubernetes auto-scaling orchestration.

4. Key Outcome

68% reduction in human escalations with sub-800ms natural conversational latency.

Python FastAPI LangChain Redis Kubernetes WebSockets
HEALTHCARE & AI • COMPUTER VISION

AI-Based Medical Image Analysis: Breast Cancer Screening

HIPAA Compliant

Computer vision and deep learning-based diagnostic assistance platform using custom CNN and U-Net architectures for automated DICOM dataset ingestion, micro-calcification contouring, and clinical classification.

1. Challenge

Severe radiologist shortage causing diagnosis backlogs and high false-negative risks in dense breast tissue mammograms.

2. Architecture

PyTorch-based U-Net segmentation pipeline with DICOM image parsing and HIPAA-compliant GPU inference servers.

3. Engineering

Automated contrast-limited adaptive histogram equalization (CLAHE) and GPU tensor RT acceleration.

4. Key Outcome

96.4% diagnostic sensitivity with sub-second inference, aiding clinical screening decisions.

PyTorch Computer Vision DICOM CUDA Docker HIPAA
FINTECH & BFSI • STREAMING DATA

Real-Time Fraud Detection & Banking Gateway

PCI-DSS Ready

High-throughput event-driven fraud scoring engine evaluating 20,000+ financial transactions per second using Kafka streaming and automated ML inference models.

1. Challenge

High volume of card-not-present fraud attempts requiring sub-50ms transaction authorization checks.

2. Architecture

Apache Kafka streaming backbone, Redis cluster for stateful user velocity lookups, and Go microservices.

3. Engineering

Asynchronous rule evaluation engine combined with real-time gradient boosting decision trees.

4. Key Outcome

34ms average fraud scoring latency, preventing $4.2M in annual unauthorized charges.

Apache Kafka Golang Redis Cluster PostgreSQL PCI-DSS
CLOUD & DEVOPS • MULTI-TENANT SAAS

Multi-Tenant Retail Commerce SaaS Migration

99.99% Uptime

Modernized a monolithic e-commerce engine into a cloud-native microservices architecture on AWS EKS with horizontal pod auto-scaling and zero-downtime deployment pipelines.

1. Challenge

Monolithic database locks and system crashes during flash sales and peak seasonal promotional campaigns.

2. Architecture

Decoupled GraphQL API gateway, containerized microservices on AWS EKS, and multi-region database replication.

3. Engineering

Terraform infrastructure-as-code, GitOps via ArgoCD, and automated canary deployments.

4. Key Outcome

Handled 10x traffic surge during annual festival sale with zero minutes of system downtime.

AWS EKS Terraform Kubernetes GraphQL ArgoCD
IOT & HARDWARE • INDUSTRIAL TELEMETRY

Industrial IoT Edge Telemetry & SCADA Platform

Sub-Second Telemetry

Deployed an edge-computing and MQTT telemetry pipeline across 12 manufacturing facilities to monitor vibration, thermal thresholds, and predict machine component failures.

1. Challenge

Unscheduled manufacturing downtime costing $180k/month due to undetected spindle bearing wear.

2. Architecture

ESP32 industrial microcontrollers, MQTT message broker, InfluxDB time-series storage, and Grafana dashboards.

3. Engineering

Edge AI anomaly detection running directly on embedded gateways with offline buffering.

4. Key Outcome

74% reduction in catastrophic machinery failure through proactive 48-hour maintenance alerts.

ESP32 MQTT InfluxDB Edge AI Grafana
OUR EXECUTION DISCIPLINE

How We Deliver Production Results

Every case study reflects our systematic, milestone-driven engineering approach.

01

Architecture Validation

We stress-test assumptions and data pipelines against real enterprise load scenarios before development.

02

Rapid Prototyping

Production-grade proof-of-concept delivered within 2 weeks to validate critical algorithmic feasibility.

03

Hardened Engineering

Full-stack construction backed by unit testing, automated DevSecOps scans, and container orchestration.

04

Telemetry & Evolution

Continuous monitoring, model retraining, and cloud cost governance to ensure multi-year ROI.

CORE TECHNOLOGY STACK

Enterprise Technologies We Deploy

Proven, performant frameworks used across our client portfolio.

Artificial Intelligence & ML

PyTorch LangChain TensorFlow LlamaIndex OpenCV MLOps

Cloud & DevOps Infrastructure

AWS Microsoft Azure Google Cloud Kubernetes Terraform Docker

Data Platforms & Streaming

Apache Kafka PostgreSQL Redis MongoDB Snowflake InfluxDB
CLIENT TESTIMONIALS

What Engineering Leaders Say

Real feedback from executives who have built mission-critical systems with DeepOrbit.

"DeepOrbit transformed our customer support into an intelligent multi-agent IVR system. Our response latency dropped under 800ms with extraordinary reliability."

VP of Engineering
Sarah Jenkins VP of Engineering, Fintech Platform

"Their deep learning computer vision pipeline helped our medical team achieve 96.4% micro-calcification detection sensitivity with zero false alarm overhead."

Chief Technology Officer
Dr. Robert Keller Chief Technology Officer, Health AI

"The Kubernetes and microservices architecture engineered by DeepOrbit easily handled 10x traffic spikes during our annual retail sale with 99.99% uptime."

Director of Infrastructure
David Miller Director of Infrastructure, Commerce Hub

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