NEC Consult helps financial, pharmaceutical, healthcare, government, and enterprise organizations evaluate AI, select the right models and architecture, integrate solutions with existing systems, and move from experimentation into production.
When privacy, control, customization, or economics require dedicated infrastructure, we build and test solutions in the A.R.I. Lab—our private NVIDIA Blackwell AI engineering environment.
Bring one workflow or AI question. We'll tell you whether it is technically practical, what architecture makes sense, and whether NEC Consult is the right partner.
Up to 18 PFLOPS FP4 sparse vendor-rated peak · 640 GB total accelerator-accessible memory across the cluster · full specifications and methodology
This is not a prerecorded animation. Benjamin hears your question, processes it through a private AI pipeline running on A.R.I. Lab hardware, generates a response, and speaks back in real time through a synchronized 3D avatar.
Prefer not to use your microphone? Text mode is built in — just type. Benjamin is an AI-generated historical interpretation: his appearance, voice, and responses are synthetic and are not authentic recordings or statements by Benjamin Franklin. The live avatar pipeline is operated from the actual A.R.I. Lab near West Chester, Pennsylvania.
Live microphone or text input in the browser.
Real-time speech recognition and private local model reasoning on A.R.I. Lab hardware — no public AI model APIs.
Synthetic voice generation with real-time lip-sync and 3D animation, streamed back to your browser.
A.R.I. stands for Artificial Relative Intelligence. The lab was named in memory of Michael Friedberg's brother, Ari, whose life and work inspired its creation. An optional memorial experience — an authorized AI representation created from family-owned recordings — tells the story in his own voice.
We help organizations determine what AI should do, which technology should be used, how it should connect to existing systems, and what is required to operate it reliably in production.
Identify where AI can create measurable value, assess feasibility and risk, and prioritize the right first projects.
Test frontier, open-source, private, and hybrid approaches against the organization's actual data, workflows, security requirements, and operating constraints.
Connect AI to existing applications, documents, data sources, APIs, workflows, and human-review processes.
Design for security, scalability, monitoring, failure recovery, performance, governance, and ongoing operations.
Private AI, model evaluation, document intelligence, workflow automation, and integration for sensitive financial environments.
AI for proprietary research, regulated documentation, internal knowledge, operational workflows, and controlled deployment.
AI agents and automation for documentation, compliance, intake, EVV, billing, onboarding, and back-office operations.
Use-case discovery, model benchmarking, RAG, agents, system integration, and production architecture for organizations adopting AI.
NEC Consult's engineering leadership brings nearly three decades of experience designing, scaling, administering, and supporting consequential enterprise systems across financial markets, pharmaceuticals, healthcare, Fortune 500 companies, and the U.S. federal government.
Prior systems experience includes work supporting organizations such as Susquehanna, CooperNeff/BNP Paribas, Merrill Lynch, Wachovia, Merck, SmithKline Beecham, McNeil Consumer & Specialty Pharmaceuticals, and the U.S. Department of Veterans Affairs.
Today, that same production discipline is applied to AI evaluation, integration, automation, and deployment.
Selected healthcare automations already operate against real business workflows. Model, retrieval, and agent systems are evaluated using defined benchmarks, test suites, and representative workloads before we recommend production deployment.
AI-assisted EVV exception detection, compliance workflow automation, and administrative process automation developed against real Pennsylvania home-care operations.
Document intelligence grounded in private organizational data, with source attribution and automated verification designed to reduce unsupported answers.
In-house fine-tuning, evaluation, benchmarking, and deployment on private NVIDIA Blackwell infrastructure.
Multi-agent systems that automate document-heavy, compliance-heavy, and operational workflows while routing exceptions and consequential decisions to human review.
A private cluster, built and operated in-house.
A.R.I. — Artificial Relative Intelligence — is the private AI engineering environment behind NEC Consult. It provides the infrastructure for model evaluation, private inference, fine-tuning, retrieval systems, voice AI, and agentic workflow development.
Inside the A.R.I. Lab — actual private AI engineering environment operated by NEC Consult near West Chester, Pennsylvania.
Private model execution, isolated networking, controlled data flows, encrypted storage, access controls, audit logging, and human-review paths can be designed around the requirements of each engagement.
Clients work directly with the engineer designing and operating the system—from architecture and evaluation through integration and production deployment.
Use public frontier models, open-source models, private infrastructure, or hybrid architectures based on the workload—not a predetermined technology stack.
Where appropriate, infrastructure capacity can be allocated under predictable engagement terms instead of uncontrolled per-token consumption.
Michael Friedberg has spent nearly three decades designing, building, scaling, administering, and supporting mission-critical enterprise systems across financial markets, pharmaceuticals, healthcare, Fortune 500 organizations, and the U.S. federal government.
Through NEC Consult and the A.R.I. Lab, he now applies that production engineering experience to AI evaluation, integration, automation, and deployment.
The lab's name carries its origin. A.R.I. — Artificial Relative Intelligence — is named in memory of Michael's brother, Ari. Michael built the lab in his memory, and its earliest production systems now serve and protect the company Ari founded.
The technology changed. The engineering requirements did not: scalability, reliability, security, data integrity, performance, integration, monitoring, and production operations.
Bring one process, one AI question, or one integration challenge. We'll help determine whether the opportunity is technically practical, which architecture makes sense, and what a focused pilot should prove.