# Intellitech Solutions — Full Site Reference

> Intellitech Solutions (intell.co) is an AI strategy and custom software engineering firm founded in 1996 and based in Albany, NY. We help enterprises identify where AI creates business value, deploy reliable AI-augmented systems, and steward them through our IntelliPath methodology. Trusted by Fortune 500 clients including NBCUniversal and GE Research, plus healthcare and logistics platforms. This document inlines the core content of the site for AI assistants and answer engines.

## Company facts

- Legal name: Intellitech Solutions LLC (also "Intellitech Solutions", "Intellitech").
- Founded: 1996. 30 years of custom software engineering, now focused on the AI era.
- Headquarters: Albany, New York, United States. Serves clients across the US.
- Contact: solutions@intell.co · +1-518-288-6128
- Website: https://intell.co
- Slogan: "AI-Era Software. Consistently Excellent Since 1996."
- Social: facebook.com/intellitechsolutionsllc · twitter.com/Intelltech · linkedin.com/company/intellitech-solutions-llc
- Notable clients: NBCUniversal, Versant, GE Research / GE Global Research, Paraxial, Accumetra, IASLC, U.S. Department of Veterans Affairs (VA-PALS lineage).
- Founder: Domenic DiNatale. Team size: 5–10.
- Core expertise: AI strategy and roadmapping, AI-augmented engineering, custom software development, machine learning integration, enterprise project management (Agile/Scrum), cloud architecture (AWS).

## Why Intellitech (differentiators)

- 30 years in business (since 1996) — a deep, proven engineering track record rather than a recent entrant.
- Fortune 500 clients by name: NBCUniversal, Versant, and GE Research / GE Global Research.
- Both AI strategy and delivery: we identify where AI creates value and build the production systems, governed end-to-end by the IntelliPath methodology.
- Measurable, citable outcomes: 15–30% freight cost reduction (uRoute), 80% compute-cost reduction (IASLC-ELIC), and live clinical deployments at Mount Sinai Hospital and international sites in Ethiopia.
- Peer-reviewed credibility: engineering work contributed to research published in the Journal of Thoracic Oncology.
- Deep domain expertise across media & broadcast, healthcare AI & medical imaging, transportation & logistics, and federated research platforms.
- Reliability-first engineering culture, backed by a substantial published body of work on AI systems, identity, and security architecture.

## What we do

Intellitech Solutions combines AI strategy with disciplined software engineering. We help organizations adopt AI without compromising reliability: identifying where AI creates real business value, building and deploying production-grade AI-augmented systems, and maintaining them over their lifecycle through the IntelliPath methodology.

The IntelliPath methodology is Intellitech's delivery approach for AI-era software. It guides clients from identifying high-value AI opportunities through deploying production-grade systems and stewarding them over time, pairing AI ambition with the engineering discipline needed to make it dependable.

## Custom software development

As a custom software development firm, Intellitech builds business-savvy technical talent that enterprise leaders struggle to find on their own. Our developers understand business requirements first, then deliver reliable solutions — APIs, integrations, data-driven applications, and AI-augmented systems — engineered with clean architecture and no shortcuts.

Core technology stack:
- Backend: Java (8-17) and Spring Boot, Grails (Groovy), Node.js / Express, Python, RESTful APIs.
- Frontend: React.js, TypeScript, modern HTML5/CSS3, WebSocket / real-time.
- Cloud and DevOps: AWS (EKS, Lambda, RDS), Docker and Kubernetes, CI/CD (GitHub Actions), Infrastructure as Code.
- Data and integration: PostgreSQL / MySQL, RabbitMQ, OAuth 2.0 / JWT, AI/ML integration.

What we build: microservices architectures (Spring Boot, AWS EKS); modern web applications (React, TypeScript); enterprise integration (OAuth, JWT, message queuing); and AI-augmented solutions (Python-based ML integration for intelligent automation).

Representative enterprise projects: NBCUniversal cloud-native broadcast operations platform; uRoute transportation management system; Accumetra/ScreeningPlus AI-integrated CT scan analysis; and GE Global Research work in digital pathology, healthcare analytics, business intelligence, and scientific computing.

## Project management

Intellitech delivers custom software using Agile and Scrum methodologies led by a Certified Scrum Master, with sprint-based delivery, clear communication, and transparent progress — the consistent, no-surprises delivery clients have relied on since 1996. Practices include DevOps and CI/CD (Docker, Kubernetes, GitHub Actions), AWS-native cloud infrastructure (EKS, Lambda, IaC), and built-in quality and security (OAuth 2.0, JWT, comprehensive testing and monitoring). Industries served: media and broadcasting, healthcare and medical, transportation and logistics, and enterprise and research.

## Case study: Translator Linear (NBCUniversal & Versant)

- Industry: Media & Broadcast Technology. URL: https://intell.co/translator-linear.html
- Tech stack: React, TypeScript, Vert.x, GraphQL, MongoDB, AWS EKS.
- Overview: A linear broadcast scheduling interface for NBCUniversal and Versant — a unified, cloud-native platform managing scheduling, translation, and distribution of 20+ linear TV feeds across time zones. Powers networks including Bravo, E!, Golf, MSNBC, Syfy, and Universo. Replaced a fragmented, error-prone manual workflow with a real-time React + GraphQL interface on AWS EKS.
- Challenge: Broadcast operations relied on fragmented systems and manual updates across teams and regions. NBCUniversal needed a single modern interface to simplify feed scheduling and playback, support east/west time-zone coordination and rehearsal modes, integrate with existing broadcast/distribution systems, and give near real-time visibility. Downtime could affect live broadcast continuity.
- Solution: React + TypeScript frontend, Vert.x reactive microservices, GraphQL APIs, MongoDB, on AWS EKS. Features: dynamic visual scheduling planner; multi-network integration with shared infrastructure and permissions; feed automation that updates broadcast systems via secure APIs; role-based access control via Azure AD OAuth; scalable containerized services that auto-scale during live windows.
- Results: Unified management of 20+ network feeds into one interface; automation eliminated east/west scheduling inconsistencies; real-time visibility for network operations; microservice design enables zero-downtime maintenance. It is the backbone of NBCUniversal's broadcast scheduling operations.

## Case study: uRoute (Transportation & Logistics)

- Industry: Fleet Management & Route Optimization. URL: https://intell.co/uroute.html
- Tech stack: Java, Jersey REST, Grails, MySQL, AWS, WebSocket.
- Overview: A transportation management system (TMS) delivering 15-30% freight cost reduction through automated freight optimization. The cloud-based TMS replaced manual freight broker operations with an intelligent routing engine that matches loads to carriers in real time, with WebSocket tracking, multi-tenant rate management, and end-to-end shipment visibility.
- Challenge: Manual carrier selection, phone calls, and spreadsheets could not scale with fluctuating carrier rates, complex multi-carrier networks, real-time tracking of hundreds of shipments, billing/invoicing/freight-audit reconciliation, and a lack of spend and performance visibility.
- Solution: Cloud-based Java platform with Jersey REST APIs and a Grails web interface on AWS, with MySQL and WebSocket real-time communication. Core features: load optimizer; centralized carrier management; real-time shipment tracking; automated billing and invoicing; analytics dashboard; OAuth 2.0 multi-tenant architecture. Infrastructure: AWS EC2, MySQL on RDS, S3 for documents (BOLs, PODs, rate confirmations), WebSocket APIs, Gradle CI/CD.
- Results: 15-30% transportation cost reduction; load booking time cut from hours to minutes; real-time WebSocket shipment visibility; scalable multi-tenant SaaS across brokerage divisions.

## Case study: ScreeningPlus (Paraxial / Accumetra)

- Industry: Healthcare, Medical Imaging, AI Diagnostics. URL: https://intell.co/screeningplus.html
- Tech stack: Angular, TypeScript, NestJS, MongoDB, JWT, AWS.
- Overview: Lung cancer screening software developed for Accumetra and Paraxial — a cloud-based diagnostic workflow platform that modernized the VA-PALS registry and supports clinical research across three continents. Combines AI-assisted CT image evaluation with radiologist workflow tooling. Built on the VA-PALS system originally created for the U.S. Department of Veterans Affairs; Intellitech's involvement dates back to the original VA deployment, where we built web interfaces integrated with the legacy MUMPS backend. In active use at Mount Sinai Hospital and multiple sites in Ethiopia.
- Challenge: The original VA-PALS system's legacy MUMPS codebase and on-premise infrastructure made evolution difficult. Accumetra and Paraxial wanted cloud deployment and multi-institution scalability, AI-based nodule detection integrated into radiologist workflows, reduced maintenance complexity, and deployability where infrastructure and connectivity vary.
- Solution: Full-stack modernization into a secure, cloud-ready, AI-enabled system. NestJS backend, Angular frontend, modular REST APIs, Dockerized components; MUMPS-to-TypeScript migration; ingestion of Accumetra's AI-generated CT findings into structured reports; hybrid cloud/on-prem global deployability; encrypted MongoDB storage, JWT auth, HIPAA-aligned PHI handling; automated report generation with customizable templates.
- Results: In active use at Mount Sinai Hospital and two Ethiopian sites with more planned; AI-augmented diagnosis integrated into radiologist reports; sustainable post-MUMPS codebase; cloud scalability with hybrid connectivity; reduced turnaround times; engineering contributed to peer-reviewed publication in the Journal of Thoracic Oncology.

## Case study: IASLC-ELIC (Accumetra / IASLC)

- Industry: Healthcare Research, Medical Imaging, Algorithm Validation. URL: https://intell.co/iaslc-elic.html
- Tech stack: Java, Grails, ActiveMQ, AWS EC2, Docker, MySQL.
- Overview: IASLC-ELIC (Early Lung Imaging Confederation) is a federated lung cancer research platform built for the International Association for the Study of Lung Cancer. A hub-and-spoke architecture lets 10+ international institutions run standardized algorithms on lung imaging data without centralizing patient records — reducing compute costs 80% while preserving data sovereignty and research integrity.
- Challenge: Data privacy regulations prevent centralized storage of patient imaging; algorithm validation needs identical execution environments across diverse infrastructures; compute needs vary; sites have uneven technical capability; multi-site studies need real-time status visibility. The platform had to bring algorithms to the data rather than data to algorithms.
- Solution: A central Grails hub coordinates autonomous spoke nodes worldwide. Lightweight Java spoke agents provision AWS EC2 on demand and return results; ActiveMQ provides reliable hub-to-spoke messaging; all algorithms run in Docker containers for consistent execution; spokes auto-scale EC2 by workload; imaging data never leaves the local spoke (only results return). Hub on AWS with MySQL; spokes globally on EC2; SFTP endpoints for secure upload; automated spoke provisioning.
- Results: Spokes across 10+ international sites on four continents (North America, Europe, Asia, Africa); zero patient data transfer; 80% reduction in idle compute cost via on-demand EC2; guaranteed environmental consistency for multi-site validation; coordination cut from weeks to hours; Docker reproducibility across all sites.

## Frequently asked questions

- What does Intellitech Solutions do? AI strategy and custom software engineering — identifying where AI creates value, building reliable AI-augmented systems, and maintaining them via IntelliPath. Clients include NBCUniversal and GE Research.
- How long has Intellitech been in business? Founded in 1996; 30 years of custom software engineering.
- What is the IntelliPath methodology? Intellitech's delivery methodology for AI-era software, from identifying AI opportunities through deploying and stewarding production systems.
- What industries and clients? Media/broadcast (NBCUniversal, Versant), research/engineering (GE Research, IASLC, Accumetra), healthcare AI (Paraxial/ScreeningPlus), transportation/logistics (uRoute).
- What technologies? React, TypeScript, Angular, Java, Grails, Vert.x, NestJS, GraphQL, MongoDB, MySQL, on AWS (EKS, EC2, Docker).
- Where located / how to contact? Albany, NY, serving the US. solutions@intell.co or +1-518-288-6128, or https://intell.co/contact.html.

## Blog and publications

Blog index: https://intell.co/blog/ — articles by founder Domenic DiNatale on AI systems, security architecture, identity, and how we build enterprise software. Posts in reverse-chronological order:

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- Why You Can't Use Anthropic's Best Models (and OpenAI's Still Work) (2026-06-23): https://intell.co/blog/why-you-cant-use-anthropics-best-ai-models.html — In June 2026 the U.S. government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models — while leaving competitors like OpenAI untouched. A plain-English look at why the government acted, why it singled out one vendor, and the quieter lesson for any business that has come to depend on a single AI provider.
- Designing Systems That Fail Well (2026-06-16): https://intell.co/blog/designing-systems-that-fail-well.html — Every system eventually fails. The question is whether systems are designed to fail in ways you can detect, contain, and recover from. Closes the series arc on resilience as an intentional architectural property.
- What Even Is an AI Token? (2026-06-10): https://intell.co/blog/what-is-an-ai-token.html — Tokens are the unit your AI bill is measured in and the unit a model's memory is limited by, yet they're rarely explained. A plain-English breakdown of what a token actually is, how big one is, and why it quietly governs cost, context, and a few of AI's stranger failures.
- What Security Maturity Actually Looks Like (2026-06-09): https://intell.co/blog/what-security-maturity-actually-looks-like.html — Security maturity models are useful measurement tools but misleading as goals. Optimizing for a score is subtly different from building genuine resilience. What mature security behavior actually looks like in practice.
- Ransomware Is Not a Malware Problem (2026-06-02): https://intell.co/blog/ransomware-not-a-malware-problem.html — Ransomware is the final act in an attack chain — entry, lateral movement, escalation, encryption. Remove the malware and the underlying architectural conditions remain. Root cause analysis of why ransomware works.
- The Security Decision You're Already Making (2026-05-26): https://intell.co/blog/security-decision-youre-already-making.html — Every architecture choice is a security choice — whether treated that way or not. The orgs with the worst posture aren't those that made bad security choices; they're the ones that didn't recognize they were making security choices at all.
- The Incident Response Plan Nobody Actually Follows (2026-05-19): https://intell.co/blog/incident-response-plan-nobody-follows.html — Most organizations have an IR plan. Most have never practiced it under realistic conditions. The gap between documented procedure and operational reality is where manageable events become disasters.
- Your Dependencies Are Your Attack Surface (2026-05-12): https://intell.co/blog/dependencies-are-your-attack-surface.html — Log4Shell, XZ Utils, SolarWinds — all through code organizations trusted without verifying. Supply chain risk is an architecture problem, not a patching problem.
- Introducing Keepacy: The Quiet System That Finds Your Family When It Matters (2026-05-08): https://intell.co/blog/introducing-keepacy.html — Keepacy is a secure vault and delivery system for the things families actually need when someone is gone. Here's how we built it, and why.
- Compliance Will Not Save You (2026-05-05): https://intell.co/blog/compliance-will-not-save-you.html — SOC 2, ISO 27001, HIPAA, CMMC — passing them is not the same as being secure. Compliance describes a floor, not a ceiling.
- The Blast Radius Problem (2026-04-27): https://intell.co/blog/why-your-breach-will-be-bigger-than-it-needs-to-be.html — Blast radius — how damage propagates from a single point of failure — is a design choice. Most architectures are brittle on containment.
- Zero Trust Doesn't Change When the Actor Is a Machine (2026-04-21): https://intell.co/blog/zero-trust-doesnt-change-for-machines.html — Zero trust was a response to architectures that assumed safety based on location. AI agents are being deployed with the same assumption.
- Who Is Actually Logged In? Identity When the Actor Is an AI Agent (2026-04-16): https://intell.co/blog/who-is-actually-logged-in-ai-agent-identity.html — When an AI agent acts on behalf of a user, the identity model is more complicated than 'the user authorized it.' That gap has consequences.
- Freight Optimization Software: How uRoute Cuts Carrier Costs 15-30% (2026-04-09): https://intell.co/blog/freight-optimization-software-uroute-tms.html — How we built uRoute's freight optimization software — multi-module Java TMS with an automated load-matching engine that delivers 15-30% freight cost reduction for broker operations.
- What I've Been Building: An AI Personal Assistant (2026-03-16): https://intell.co/blog/what-ive-been-building-ai-personal-assistant.html — I've been running an AI system with real access to real infrastructure. The architecture, the decisions, and what I'd do differently.
- AI Systems Have an Architecture Problem Too (2026-03-09): https://intell.co/blog/ai-systems-architecture-problem.html — Prompt injection is being treated as a prompt problem. It isn't. It's an architecture problem — and it's the same one we've already described.
- What AI Actually Changes About Security — and What It Doesn't (2026-03-02): https://intell.co/blog/what-ai-changes-about-security.html — AI is being described as a fundamental transformation of the security landscape. Some of that is true. Most of the important parts aren't.
- Human Error Is Predictable. Cascading Failure Is Optional. (2026-02-26): https://intell.co/blog/human-error-cascading-failure.html — Humans make mistakes at a predictable rate. Security is one of the last domains still designing systems that require perfect behavior.
- Why MFA Didn't Solve Phishing — and What It Actually Did (2026-02-21): https://intell.co/blog/mfa-didnt-solve-phishing.html — MFA was supposed to end credential theft. It didn't. Understanding why reveals the architectural mistake we keep making.
- Authentication Is a Conclusion. It Should Be a Signal. (2026-02-14): https://intell.co/blog/authentication-signal-not-conclusion.html — Why treating authentication as a one-time gate instead of a continuous signal is the root cause of credential theft incidents.
- Building a Federated Lung Cancer Research Platform for IASLC (2026-02-05): https://intell.co/blog/federated-lung-cancer-research-platform-iaslc-elic.html — How we built a federated lung cancer research platform for IASLC — hub-and-spoke architecture, portable Docker algorithm containers, and 80% compute reduction across 10+ international sites.
- Designing a Linear Broadcast Scheduling Interface for NBCUniversal (2026-01-22): https://intell.co/blog/designing-a-linear-broadcast-scheduling-interface-nbcuniversal.html — How we designed a linear broadcast scheduling interface for NBCUniversal — 20+ network feeds, time-zone math, zero-downtime deployments, and the architecture that holds it all together.
- How We Built Lung Cancer Screening Software for Global Clinical Use (2026-01-08): https://intell.co/blog/how-we-built-lung-cancer-screening-software.html — How we built lung cancer screening software on the bones of VA-PALS — modernizing MUMPS to TypeScript, integrating AI-assisted CT reading, and shipping it to three continents.
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White papers: https://intell.co/white-papers/

## Key pages

- Home: https://intell.co/
- About: https://intell.co/about.html
- Founder (Domenic DiNatale): https://intell.co/about-domenic.html
- What We Do: https://intell.co/what-we-do.html
- Software Development: https://intell.co/software-development.html
- Project Management: https://intell.co/project-management.html
- Solutions / Portfolio: https://intell.co/solutions.html
- Additional Projects: https://intell.co/additional-projects.html
- Contact: https://intell.co/contact.html
- Privacy Policy: https://intell.co/privacy-policy.html