Client Success Stories
Delivering measurable impact and driving digital transformation for industry leaders.
The Challenge
The client required a high-throughput inference infrastructure to support their next-generation Large Language Models (LLMs) with strict latency requirements.
The Solution
Aetheria architected a resilient, auto-scaling backend using Kubernetes and optimized Python microservices, specifically tuned for high-concurrency AI workloads.
The Impact
Achieved sub-200ms end-to-end latency and 99.99% uptime during peak loads, enabling the successful launch of a real-time AI product to millions of users.
The Challenge
Siloed patient data across legacy systems prevented a 360-degree patient view, hindering care coordination and operational efficiency.
The Solution
We engineered a HIPAA-compliant data mesh on Google Cloud, leveraging the Healthcare Data Engine (HDE) to unify disparancy clinical data standards (HL7/FHIR).
The Impact
Established a real-time longitudinal patient record system, improving data retrieval speeds by 40% and ensuring full regulatory compliance for sensitive PHI.
The Challenge
Manual deployment processes and fragile environments were bottling necking feature releases and introducing security risks.
The Solution
Our team implemented an end-to-end DevSecOps pipeline with automated infrastructure provisioning (IaC) and embedded security scanning.
The Impact
Reduced deployment lead time by 80%, cutting environment setup from days to minutes and enabling multiple daily production releases.
The Challenge
Critical research was stalled by the inability to ingest and analyze massive datasets (25TB+) of medical imaging within reasonable timeframes.
The Solution
We designed a high-concurrency batch processing architecture involving optimized ingestion scripts and scalable cloud storage solutions.
The Impact
Processed 25 TB of DICOM data 50% faster than internal benchmarks, accelerating the research timeline and enabling faster insight generation.
The Challenge
The institution needed to deploy Generative AI assistants to 10k+ employees while meeting strict data sovereignty and leak-prevention mandates.
The Solution
Aetheria implemented a centralized AI Governance Hub with real-time PII masking and automated policy enforcement across multiple LLM providers.
The Impact
Enabled the secure rollout of enterprise AI while achieving 100% compliance with internal data privacy audits and preventing unauthorized PHI/PII leakage.
The Challenge
Transitioning drug development workloads to the cloud required a security posture that could withstand sophisticated persistent threats in a highly regulated R&D environment.
The Solution
We architected a Zero-Trust sovereign cloud environment utilizing micro-segmentation, identity-aware proxies, and continuous posture management (CSPM).
The Impact
Eliminated lateral movement risks and reduced the security incident response window by 65%, creating a hardened foundation for multi-billion dollar R&D assets.
The Challenge
Legacy monolithic systems caused delays in claims adjudication, impacting provider satisfaction and increasing operational costs during high-volume periods.
The Solution
Our team re-engineered the claims engine into an event-driven, multi-cloud architecture using messaging queues and serverless functions for elastic scale.
The Impact
Increased peak processing capacity by 300% and reduced adjudication latency from hours to seconds, leading to a 15% reduction in administrative overhead.
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Houston, TX