Client Stories Background

Our Wall of Love

A tribute to the partnerships that drive innovation.

"We take pride in the success of our clients. Our Wall of Love is a curated collection of the projects, people, and partnerships that have shaped ETY Services."

From startups to global enterprises, we've helped teams scale their impact through cutting-edge AI, robust data engineering, and seamless cloud solutions.

1. Federated AI for Regulated Enterprises

Problem

Organizations couldn't use AI due to strict data privacy and compliance constraints.

What We Did

Built a federated AI system enabling decentralized model training without sharing raw data.

Solution

Created distributed training nodes with secure aggregation and privacy-preserving techniques.

TensorFlow FederatedPySyftKubernetesSecure APIs

Results

100% compliance achieved
Enabled cross-organization AI
Reduced regulatory risk significantly

Client Feedback

ETY helped us unlock AI without compromising data privacy — a game changer.

1. Federated AI for Regulated Enterprises

2. AI Radiology Assistance System

Problem

Manual scan analysis caused delays and inconsistencies.

What We Did

Developed AI-powered DICOM image analysis for anomaly detection.

Solution

Automated scan processing + AI-assisted reporting workflows.

PyTorchOpenCVGPU pipelines

Results

Faster diagnosis
Higher accuracy
Reduced workload on radiologists

Client Feedback

The system significantly improved our diagnostic speed and confidence.

2. AI Radiology Assistance System

3. Databricks Lakehouse Modernization

Problem

Legacy data warehouse was slow and fragmented.

What We Did

Migrated to a modern lakehouse architecture.

Solution

Unified ETL/ELT pipelines with real-time analytics.

DatabricksSparkDelta Lake

Results

5x faster reporting
Reduced infra costs
Real-time insights

Client Feedback

We finally have a single source of truth across the organization.

3. Databricks Lakehouse Modernization

4. HPC Multi-GPU AI Infrastructure

Problem

AI workloads were slow and expensive.

What We Did

Built a high-performance multi-GPU cluster.

Solution

Optimized distributed compute with GPU scheduling.

CUDAKubernetesSlurm

Results

10x faster training
Lower compute cost
Scalable infrastructure

Client Feedback

Training that took days now completes in hours.

4. HPC Multi-GPU AI Infrastructure

5. AI-Based Diamond Planning System

Problem

Material wastage in diamond cutting.

What We Did

Developed AI-driven optimization for cutting strategies.

Solution

Used tomography data + predictive modeling.

3D VisionOptimization Algorithms

Results

Increased yield
Reduced waste
Better profitability

Client Feedback

We saw immediate financial impact from better planning.

5. AI-Based Diamond Planning System

6. AI Trading Advisory Platform

Problem

Lack of advanced insights in trading decisions.

What We Did

Built predictive analytics-based advisory system.

Solution

Integrated real-time market data + AI predictions.

Time-series MLPythonData pipelines

Results

Improved returns
Reduced risk
Better decision-making

Client Feedback

Insights are sharper and more actionable than ever.

6. AI Trading Advisory Platform

7. Autonomous Supply Chain AI System

Problem

Inefficient supply chain with frequent disruptions.

What We Did

Built agent-based AI decision system.

Solution

Automated procurement, logistics, and forecasting.

Reinforcement LearningMulti-agent AI

Results

40% reduction in stockouts
Lower logistics cost
Self-learning system

Client Feedback

It feels like our supply chain is running itself.

7. Autonomous Supply Chain AI System

8. Legal AI Intelligence Platform

Problem

Manual contract review was slow and risky.

What We Did

Developed AI-powered contract analysis system.

Solution

Automated clause analysis + risk detection.

LLMsRAGNLP

Results

70% faster review
Better risk identification
Standardized workflows

Client Feedback

This replaced hours of manual work instantly.

8. Legal AI Intelligence Platform

9. Smart Energy Optimization Platform

Problem

High energy costs and inefficiencies.

What We Did

Built RL-based energy optimization system.

Solution

Dynamic energy distribution with predictive models.

Reinforcement LearningIoT

Results

25-35% cost reduction
Improved efficiency

Client Feedback

Our energy usage is now intelligent and adaptive.

9. Smart Energy Optimization Platform

10. Personalized Learning Platform

Problem

Lack of personalized education systems.

What We Did

Built adaptive AI learning platform.

Solution

Dynamic learning paths per student.

LLMsRLKnowledge Graphs

Results

Higher engagement
Improved outcomes
Reduced dropout

Client Feedback

Students are more engaged than ever.

10. Personalized Learning Platform

11. Cybersecurity AI Defense System

Problem

Traditional security couldn't detect modern threats.

What We Did

Built AI-powered threat detection system.

Solution

Real-time anomaly detection + automated response.

MLSIEMGenerative AI

Results

Faster threat detection
Reduced manual effort

Client Feedback

We now respond to threats in real time.

11. Cybersecurity AI Defense System

12. Real-Time Customer 360 Platform

Problem

Fragmented customer data.

What We Did

Built unified real-time data platform.

Solution

Centralized customer insights engine.

KafkaDatabricksClickHouse

Results

Real-time personalization
Increased conversions

Client Feedback

We finally understand our customers fully.

12. Real-Time Customer 360 Platform

13. High-Frequency Data Platform (FinTech)

Problem

Couldn't process massive market data in real-time.

What We Did

Built scalable streaming architecture.

Solution

Real-time + batch hybrid pipelines.

KafkaFlinkClickHouse

Results

Billions of events processed
Sub-second latency

Client Feedback

Performance exceeded our expectations.

13. High-Frequency Data Platform (FinTech)

14. Industrial IoT Data Platform

Problem

Unutilized sensor data.

What We Did

Built predictive analytics pipeline.

Solution

Real-time ingestion + predictive maintenance.

MQTTKafkaDatabricks

Results

Reduced downtime
Improved operations

Client Feedback

Machines rarely fail unexpectedly now.

14. Industrial IoT Data Platform

15. Multi-Tenant SaaS Data Platform

Problem

Scaling analytics across clients was difficult.

What We Did

Built multi-tenant architecture.

Solution

Isolated yet scalable data environments.

Snowflakedbt

Results

Faster onboarding
Secure data isolation

Client Feedback

We scaled without increasing complexity.

15. Multi-Tenant SaaS Data Platform

16. Multi-Cloud GPU Orchestration

Problem

Underutilized GPU resources.

What We Did

Built centralized GPU orchestration system.

Solution

Optimized scheduling + cost-aware routing.

KubernetesCUDAMulti-cloud

Results

50% better utilization
Reduced costs

Client Feedback

Massive cost savings with better performance.

16. Multi-Cloud GPU Orchestration

17. High-Scale API Infrastructure

Problem

Latency spikes and downtime.

What We Did

Re-architected API system.

Solution

Auto-scaling + observability system.

KubernetesPrometheusRedis

Results

99.99% uptime
Lower latency

Client Feedback

Our APIs are now extremely stable.

17. High-Scale API Infrastructure

18. Low-Latency Bare-Metal System

Problem

Cloud latency issues.

What We Did

Built optimized bare-metal infrastructure.

Solution

Kernel-level optimization.

Linux tuningDPDK

Results

Ultra-low latency
High throughput

Client Feedback

Performance is unmatched.

18. Low-Latency Bare-Metal System

19. Graph Data Infrastructure

Problem

Relational DBs failed for complex relationships.

What We Did

Built graph-based system.

Solution

Optimized graph queries + ingestion.

Neo4jKafka

Results

Real-time analytics
Scaled to billions of relationships

Client Feedback

Queries that took minutes now run instantly.

19. Graph Data Infrastructure

20. DevOps & SRE Platform

Problem

Deployment failures and instability.

What We Did

Built CI/CD + SRE platform.

Solution

Automated pipelines + monitoring.

TerraformKubernetesPrometheus

Results

Faster deployments
Improved reliability

Client Feedback

Our engineering velocity improved drastically.

20. DevOps & SRE Platform

Testimonials

A little line about what's being said and who's saying it.

Rahul Mehta
Ankit Shah
Priya Desai
Kunal Patel
Nirav Joshi
Rohit Agarwal
Sneha Kapoor
Amit Jain
Dhruv Shah
Vivek Gupta
Michael Carter
Sarah Johnson
David Miller
Emily Brown
James Wilson
Daniel Clark
Olivia Davis
Chris Anderson
Robert Thomas
Jessica Lee
Oliver Smith
Harry Walker
George Hall
Amelia Wright
Jack Turner
Lukas Müller
Sophie Dubois
Marco Rossi
Carlos Fernandez
Anna Novak
Ahmed Al-Farsi
Omar Khan
Yusuf Al-Mansoori
Fatima Al-Zahra
Hassan Sheikh
Liam Anderson
Noah Taylor
Ethan Wilson
Charlotte White
Mia Harris
Ivan Petrov
Dmitry Ivanov
Sergey Volkov
Elena Smirnova
Alexey Morozov
Global SaaS Founder
Startup CEO
Product Head
Tech Director
Enterprise Client

They understand both business and tech deeply.

Priya Desai

India 🇮🇳

Product Manager