Luminity Digital bridges the gap between enterprise data, cloud infrastructure, and AI — so the right insight reaches the right person at the right moment, and intelligent agents act on it.
Each practice stands on its own. Together, they form a complete system — from the data foundations that fuel intelligence, to the autonomous agents that act on it.
Map how decisions actually happen, then architect how insight should flow — at every layer of your organization.
Transform raw information into governed, AI-ready data products through our contract-first Databricks practice.
Build, scale, and secure enterprise-grade AI solutions on AWS — from Bedrock to SageMaker to production MLOps.
Full-lifecycle agent development — from framework selection to production observability — with enterprise-grade governance.
Every organization makes thousands of decisions a day. The question isn't whether your people are smart enough — it's whether the right intelligence reaches the right person at the right moment.
Where should we invest? Which markets do we enter? These calls set the course — and they deserve more than intuition and a quarterly report.
Where are we falling behind? What should we prioritize this week? These decisions happen hundreds of times a day — most made with incomplete information.
How do we respond to this request? What's the best recommendation right now? Your frontline teams are closest to the customer — and should be empowered like it.
Data is only as valuable as its reliability. We don't just move data — we transform it into a high-fidelity asset through a rigorous, three-stage intelligence framework built on the Databricks platform.
Formal agreements between producers and consumers that define schema, quality thresholds, and refresh rates — before a single line of code is written.
Self-contained, discoverable, and reusable assets designed for specific business outcomes — organized by domain, not technical tables.
By enforcing contracts and delivering via products, your data becomes plug-and-play for Machine Learning and Generative AI applications.
As a Databricks Consulting Partner, we align specialized roles with specialized tools — eliminating the data-to-AI gap.
Enforce contracts at the source with Unity Catalog, Delta Live Tables with expectations, and Medallion Architecture pipelines.
Curate Gold-layer data products with Databricks SQL. Build semantic layers, dashboards, and self-service discovery interfaces.
Automate the model lifecycle with MLflow and Feature Store — ensuring training data matches real-time inference data exactly.
Build production RAG with Vector Search, optimize Model Serving, and fine-tune LLMs grounded in your private data products.
As a validated AWS Partner, we help you build, scale, and secure enterprise-grade AI solutions — from Generative AI with Amazon Bedrock to custom machine learning with SageMaker.
Build agents, automate content creation, and deploy foundation models safely with your proprietary data using Amazon Bedrock — with guardrails from day one.
Deploy Amazon Q for employee productivity, Amazon Lex for conversational interfaces, and Amazon Personalize for real-time recommendations.
End-to-end machine learning on SageMaker — build, train, deploy, and monitor high-performance models with CI/CD pipelines and drift detection.
Rapid integration of Amazon Rekognition for vision, Comprehend for language, Transcribe for speech, and Textract for intelligent document processing.
We follow a rigorous approach aligned with the AWS Cloud Adoption Framework to move AI initiatives from whiteboard to production.
Identify high-impact use cases, audit data readiness, and define Responsible AI guardrails from day one.
Modern data architecture with Zero-ETL, vector databases for RAG, and privacy-first design meeting HIPAA and GDPR standards.
Iterate quickly in SageMaker Canvas and Bedrock Playgrounds. Optimize prompts, fine-tune models, benchmark for cost and latency.
Production-grade CI/CD with SageMaker Pipelines, continuous monitoring for model drift, and cost optimization with Inferentia and Trainium.
Our AWS CCoE brings together specialized practitioners who define strategy, enforce governance, and accelerate innovation — a dedicated practice that ensures your cloud investments deliver measurable business outcomes.
Lead AI readiness assessments, identify high-impact use cases, and align AI capabilities with business KPIs using the AWS Cloud Adoption Framework. Translate organizational goals into actionable AI roadmaps.
Build production applications on Amazon Bedrock — from RAG pipelines grounded in private data to custom agents and fine-tuned foundation models. Implement prompt engineering, model evaluation, and Bedrock Guardrails for safe deployment.
Design Well-Architected cloud foundations that support AI workloads at scale. Optimize for cost, performance, security, and operational excellence — ensuring every architecture decision serves a business outcome.
Build the data plumbing that AI depends on — modern data lakes on S3, Zero-ETL integrations, vector database configuration for RAG workloads, and governed pipelines using AWS Glue and Lake Formation.
Own the full machine learning lifecycle on SageMaker — from training and hyperparameter tuning to deployment, monitoring, and retraining. Build automated MLOps pipelines that keep models accurate and cost-efficient in production.
Enforce least-privilege IAM governance, configure encryption with KMS, manage PII redaction workflows, and ensure regulatory alignment across HIPAA, SOC2, and GDPR — embedding compliance into the architecture rather than bolting it on.
From strategy to production, we deliver enterprise-grade agentic AI solutions that integrate with your architecture while maintaining governance, observability, and reliability. We bring depth across the full agent lifecycle — not just prompt engineering, but the underlying systems that make agents trustworthy at scale.
We assess your use case requirements against the strengths of each framework — understanding the trade-offs in state management, multi-agent coordination, and orchestration complexity.
Containerized execution environments, serverless orchestration patterns, and hybrid architectures that balance latency, cost, and resilience — with circuit breakers, timeout management, and graceful degradation built in.
We architect the components that surround the agent itself — tool registries, memory management, planning modules, context windowing, and the orchestration layers that govern multi-step reasoning and action execution.
Comprehensive monitoring for non-deterministic systems — distributed tracing across reasoning chains, agent-specific metrics, structured decision logging, and replay capabilities for debugging production behavior.
Implement Model Context Protocol for standardized tool integration, agent-to-agent communication layers, and enterprise integration patterns — event-driven architecture, API management, and service mesh connectivity.
Agent security informed by OWASP Top 10 for LLMs and NIST AI Risk Management Framework. We implement principle of least privilege, prompt injection defenses, comprehensive audit logging, PII-aware operations, and adversarial boundary testing.
Luminity Digital was founded on the belief that the distance between data and decision — and between decision and action — is the most consequential gap in the modern enterprise. We help close it.
Our teams bring deep platform expertise across Databricks, AWS, and Salesforce, combined with the architectural thinking required to make AI solutions work inside real organizations — with real governance, real compliance requirements, and real users.
We believe the best ideas come from diverse perspectives and equitable opportunity.
We build for the long term — efficient architectures, responsible AI, and lasting partnerships.
Our 16-week AITA program in Serbia cultivates the next generation of certified AI professionals.
Field notes on Decision Intelligence, Data Architecture, Agentic AI, and enterprise patterns.
Deep, validated partnerships with the platforms that power enterprise intelligence.
Enterprise Architect and Trusted Advisor with 25+ years guiding digital transformation at Fortune 500 companies. Tom bridges the discipline of Enterprise Architecture with startup adaptability — combining strategic frameworks with rapid experimentation, outcome-focused delivery, and governance that enables innovation. He guides C-suite executives to strategize, architect, implement, and realize value from AI-powered platforms. 20× certified. Led engagements across the United States, Europe, and Asia.
Architecture serves the business. Listen first, map without judgment, let reality shape the approach.
Every architecture decision is a business decision. Frame in ROI, risk, time-to-value, and customer impact.
First artifacts solve a real problem someone is struggling with. That's how architecture becomes indispensable.
Help leadership see the whole board, anticipate what's coming, and make decisions they'll be proud of in three years.
The enterprise that wins isn't the one with the most data, or even the best models. It's the one where intelligence flows — from data to decision to action — without friction, without blind spots, and without delay.
Whether you're mapping your decision landscape, building AI-ready data products, scaling on AWS, or architecting your first production agents — we'd like to understand where you are and where you're headed.