The work, indexed.
The solutions our team builds and has delivered, filterable by industry — team track record, cited in percentages, scale and timelines. Neuroniks client engagements join as details are approved.
Healthcare & Life SciencesAdvanced-Therapy Commercialization Platform
Cell & Gene Therapy
A secure, AI-driven platform connecting institutions, manufacturers and cold-chain logistics into one network — a tamper-proof chain of identity from apheresis to treatment, with sovereign, regulator-ready data.
AI & ML Consulting
HealthcareLegacy EHR Modernization
Nationwide Senior Care Provider
A full-stack migration to cloud-native Java on Netsmart myUnity, with FHIR and HL7 interoperability connecting clinical, operational and financial systems.
Engineering ServicesHealthcare340B Compliance Platform Rebuild
Pharmacy Technology Provider
Re-architected a monolithic 340B application into Java microservices on AWS — HIPAA, SOC 2 and HRSA compliant, built for scale and auditability.
Engineering Services
HealthcareEnterprise App Portfolio Rationalization
Global Healthcare Provider
Classified enterprise applications across multiple countries into Retain, Replatform, Replace or Retire — a data-driven rationalization with zero business disruption.
Digital Transformation
HealthcareSecure File Transfer for Healthcare
PBM Company
GoAnywhere MFT with AES-256, TLS and role-based access — manual file movement turned into secure, auditable, automated workflows.
Business Process OptimizationOperationsTheme Park Workforce Optimization
Premier US Amusement Park Operator
A Random Forest model replaced gut-feel scheduling with data-driven daily workforce optimization across dozens of operational zones serving millions of annual visitors.
AI & ML Consulting
Life SciencesCanine IBD Detection & Sales Intelligence
Fortune 500 Animal Health
An ML model predicting Inflammatory Bowel Disease in dogs from clinical data, paired with a Salesforce and Snowflake pipeline delivering sales intelligence.
Data Engineering & Analytics
Retail & E-CommerceMarket Price API / ETL Pipeline
UK Fashion Resale Analytics
A cloud-native AWS pipeline for multi-vendor pricing-data ingestion and analytics — modular architecture that adds new data sources without code changes.
Startups & Product Development
LogisticsLogistics Infrastructure Optimization
US Logistics Company
EC2 right-sizing, S3 storage tiering, regional consolidation and a Spot-Instance fleet for batch workloads — savings without touching application code.
Cloud Migration & Optimization
Financial ServicesSalesforce Sales Performance Analytics
Fortune 500 Financial Services
Unified Salesforce, Alteryx, Snowflake and Tableau — custom Lightning components, Flow automation and an Experience Cloud partner portal.
Low-Code Platform SolutionsHealthcareClaims Testing Modernization
Large PBM Organization
Migrated legacy .NET claims testing to Java microservices with automated testing pipelines and HIPAA compliance built in.
Engineering ServicesHealthcareAgile & DevOps Transformation
Mid-Sized Healthcare Tech Company
An AWS DevOps and Agile transformation — automated CI/CD pipelines paired with JIRA-based Agile delivery — modernizing how a healthcare technology company builds, tests and ships software.
Engineering ServicesData & AnalyticsOn-Premise Hadoop → Serverless AWS Data Platform
Global Enterprise (Multi-Business-Unit)
Retired a 25-node, ~500 TB on-premise Hadoop estate and re-platformed ~30 source systems and six business functions onto a serverless AWS lakehouse — S3 raw/curated/consumption zones with Lake Formation and IAM governance — so the team stopped operating infrastructure and started shipping data products.
Cloud MigrationData InfrastructureSingle-Click Hadoop / Hive / Impala Replication Connector
Silicon Valley Lakehouse Startup
A replication connector built into the client's platform: point it at a Hive Metastore, pick tables, click once — Kafka-buffered change capture and schema evolution (Avro + Schema Registry) stream Hadoop/Hive/Impala data into the lakehouse. A weeks-long onboarding bottleneck became a self-serve setup step — and started closing deals.
Data EngineeringEach engagement follows a consistent case-study template — challenge, approach, architecture and outcome. Detailed write-ups are shared on request and during scoping conversations.
