Nexus AI Solutions
AI consulting & team training
We advise organizations on how to adopt AI, and we train their people — workshops for leaders and builders, plus in-house team training. Founder Dr. Majid Memari is Assistant Professor of Computer Science at Utah Valley University and an NVIDIA University Ambassador. Hamid Memari leads technical delivery when an engagement includes implementation.
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Utah principals
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AI courses & DLI workshops
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Founder works on Google Scholar
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Active research streams
Capabilities
What we do
Our primary client work is AI consulting and team training: Advisory engagements on how to adopt AI, plus instructor-led workshops and in-house team training. When a team is ready to build, we follow with a scoped statement of work — retrieval over private data, agents, evaluation, and production hardening.
AI Consulting
Advisory work for leaders and teams: what to adopt, what to skip, and how AI should fit your workflows. We leave you with a clear recommendation — not a slide deck that no one can execute.
System Integration
Unify workflows across apps and data stores—REST and event-driven integrations, APIs, and careful data flows so humans and automation (including AI agents) operate on trustworthy sources.
Infrastructure Modernization
Move from brittle legacy stacks toward cloud-native and serverless patterns where they earn their cost—often as part of shipping a concrete product milestone, not a vague lift-and-shift.
Cybersecurity Assessment
Identify vulnerabilities before they become breaches. We conduct penetration testing, policy audits, and implement security best practices.
Cloud Migration
Move to the cloud with confidence. We plan, execute, and optimize your migration to AWS, Azure, or Google Cloud with zero downtime.
Workshops & Team Training
Instructor-led workshops and in-house training so your people can use AI in their own tools. Half-day, full-day, or a short series — scoped to your team, not a generic course catalog.
LLM & RAG Systems
Private knowledge, grounded answers
Retrieval-augmented generation over your documents and data—with chunking, embedding, reranking, evaluation sets, and guardrails so outputs are useful in production, not just impressive in demos.
Agentic Automation
LangChain / LangGraph tool workflows
Agents that plan, call APIs, retrieve context, and hand off cleanly—paired with tracing, retries, logging, and human oversight for reliable operational automation.
AI Strategy, evals & MLOps
From pilot to production
Roadmaps plus LLM observability—test sets, qualitative review loops, latency and cost budgeting, and rollout patterns suited to regulated or high-stakes settings.
NVIDIA DLI & Training
Hands-on GPU education
Workshops aligned with NVIDIA Deep Learning Institute (DLI) standards—delivered in person or virtually for your team.
Team & fit
How we engage—and what we take on
Nexus operates as your vendor of record—you buy scoped, temporary engagements (discovery + milestones)—not staffing or employment of our principals on your payroll. We allocate and manage delivery; as volume grows Nexus can bring in bench talent under the same statements of work. Contracts, invoices, and IP flow through Nexus AI Solutions LLC (Utah).
Principals behind Nexus
Dr. Majid Memari —Founder & Principal AI Architect, Nexus AI Solutions LLC. Assistant Professor of Computer Science, Utah Valley University (2024–present); NVIDIA University Ambassador and Deep Learning Institute Certified Instructor. He leads AI consulting and team training for clients, and public-sector programs such as DataGovAI at the Gary R. Herbert Institute for Public Policy.
Hamid Memari — Technical Delivery Lead on Nexus mandates. Hands-on integrations, backends, build automation, escalation discipline, and production hardening borrowed from regulated product environments—all tuned for clients who refuse fragile AI veneers.
We're co-located in the Salt Lake City area for sharper discovery, whiteboarding, and delivery cadence together.
Project fit & how we start
We focus on scoped outcomes you can inspect: identifiable knowledge sources, named integrations (CRMs, ticketing, warehouses, FHIR-ish boundaries), and plain success criteria—not open-ended requests to build an entire AI product without shared discovery and boundaries.
- RAG assistants and enterprise document Q&A grounded in private corpora.
- Tool-using agents—LangChain, LangGraph—with tracing, approvals, retries.
- LLM evaluation, regression sets, hallucination containment, prompting ops.
- Python/FastAPI (and adjoining) AI services wired to cloud or hybrid footprints.
- Healthcare-adjacent workflow automation and clinical-flavored NLP, respecting compliance and institutional policies—paired with pragmatic IT uplift (integration, modernization, hygiene) where it unblocks AI.
Most engagements begin with a paid discovery sprint (architecture, backlog, risks, latency and cost envelopes) followed by phased build milestones. Fixed scopes work best after that grounding.
We sell discrete SOW packages and phased projects—not open-ended faux headcount or unmanaged on-call. Optional follow-on SOWs(“phase 2,” sustainment bursts) extend work only when scope is rewritten and signed— Nexus still runs staffing and accountability under the vendor relationship.
Portfolio
Our work
Representative builds across EdTech, simulation, agents, drones, public-sector data, and custom AI.
AI-Powered EdTech
Smarter learning at scale
Intelligent tutoring patterns, LLM-assisted grading workflows, adaptive learning paths, and analytics for institutions and training programs.
AI-Simulated Training
Practice when the real thing is costly
Immersive scenarios for firefighters, nursing, and high-stakes fields—dynamic AI-driven patients, incidents, and debriefs—safe, repeatable, and scalable.
Psychological AI Companion
Voice-first mental wellness support
A voice-mode AI companion grounded in psychological science—it builds a private profile of each client over time, delivers personalized check-ins, and supports mental wellness through evidence-based conversational techniques customized to the individual.
Agentic Workflow Automation
End-to-end intelligent ops
Multi-agent systems that coordinate specialist models and tools to automate complex business processes with human oversight.
Drone AI & 3D Imaging
RGB + thermal computer vision
Published research on drone RGB/thermal inspection of wind-turbine blades (IEEE Access, Energies, Machines). Active GridEye collaboration with the University of Utah and PacifiCorp on aerial inspection of electrical-grid infrastructure.
Personal AI Money Companion
Habits, privacy, and support
A personalized AI that builds a private knowledge base from spending and check-ins—serving as a copilot for people strengthening money habits, including compulsive spending and related behavioral challenges.
Automation
Agentic workflows
Intelligent pipelines with n8n—tools, APIs, and models orchestrated to run around the clock.
Visual workflow design
Drag-and-drop with n8n—branching, loops, error handling, and approvals.
AI-native nodes
LLM calls, RAG, sentiment, and classification in the pipeline.
Always-on orchestration
Webhooks, schedules, monitoring, retries, and audit trails.
Interactive
Try our AI
Products we ship—an AI financial assistant and a course-grounded teaching assistant.
Finance & bookkeeping
AI Financial Assistant
Conversational assistant for bookkeeping, organized records, and finance workflows—full product experience with companies, ledger, and documents. Not a replacement for licensed professionals where required.
CS 4720R course
AI teaching assistant
Course-grounded Q&A for AI Business and Tech Solutions—Canvas-aligned context and a dedicated assistant, not a generic chat window.
Partners
Where we make an impact
Collaboration with professionals across business, software engineering, and the Silicon Slopes technology community.
Industry & community
Live pulse
Promising AI companies
Liquid, AI-focused public equities—infrastructure, platforms, and security. Not a recommendation; many AI leaders are still private. Refreshed about every minute. Not investment advice.
NVIDIA Deep Learning Institute
Workshops & team training
We train teams in-house and on campus. Sessions include organizational workshops and NVIDIA DLI–aligned labs from NVIDIA Deep Learning Institute. Student workshops at participating universities are offered at no charge to students. Organizational training is scoped to your tools and goals.
Fundamentals of Deep Learning
~8 hours (typical DLI workshop)
Train neural networks for classification and detection with hands-on PyTorch labs on GPU-accelerated cloud instances.
AI on Jetson / Edge
Hands-on lab
Build and deploy edge AI prototypes—ideal for robotics and IoT-focused programs.
RAG & LLM Agents
Applied GenAI
Retrieval-augmented generation, prompt patterns, and safe deployment of LLM-powered assistants.
Generative AI
Foundations
Diffusion and generative fundamentals with practical exercises—aligned with industry demand.
Campus student workshops remain free for students at participating universities. Organizational training is scoped separately.
Utah community
Utah & policy
Nexus funds intern rounds, sponsors classroom-adjacent builds, and shows up wherever Utah policy, campuses, and startups intersect—creating a feeder of practitioners who ship real AI, not slideware.
Free on campus · NVIDIA DLI
Hands-on AI workshops for students & faculty
As NVIDIA Deep Learning Institute certified instructors affiliated with Nexus, we host no-cost cohort sessions on Utah campuses—and similar programs nationally—covering LLMs, generative AI, and agent stacks with completion artifacts where NVIDIA issues them. Comparable public trainings often exceed $500 per seat; Nexus keeps these sessions gratis for qualifying student groups universities invite.
Nexus AI Solutions LLC
AI consulting and team training
Advisory engagements, instructor-led workshops, and in-house team training. Implementation is a follow-on statement of work. Nexus also brings student interns onto real projects — hands-on mentorship at no internship fee.
NVIDIA ecosystem
Ambassador & DLI-aligned instruction
Hands-on GPU, generative AI, and agent workshops that mirror Deep Learning Institute standards—delivered campus-side for students/faculty and packaged for cohort clients who want the same caliber of training.
Higher education (Utah)
Course design & mentorship
Nexus principals collaborate with Utah campuses to prototype courses and mentor teams bridging industry-grade AI pipelines with classroom rigor—not as a staffing agency, but as specialist architects guiding capstones and pilots.
Responsible AI (Utah)
Policy & stakeholder advisory
Cross-sector facilitation through programs such as Utah's One-U Responsible AI initiative—helps agencies, campuses, and industry align guardrails without slowing pragmatic pilots Nexus can engineer.
Utah public sector partnerships
Agency-aligned architecture
Nexus-supported collaborations with institutes and agencies (including work anchored at the Herbert Institute for Public Policy) translate policy goals into backlog-ready AI plans and governed delivery milestones.
Bridging academia & industry
EdTech innovation & entrepreneurship
Nexus curricula teams blueprint AI-heavy courses aimed at narrowing the canyon between ivory-tower coursework and shipped software. Illustrative effort: innovation + entrepreneurship immersion for aspiring EdTech founders—students source pain from K–12/college ecosystems, scaffold AI-first MVPs hosted on modular automation stacks, then pitch juried panels with mentoring from collegiate entrepreneurship institutes such as Utah's Baugh Entrepreneurship Institute at UVU.
AI Utah, Silicon Slopes & Utah tech
Nexus supports AI Utah—Utah's AI user group and community hub for practitioners, events, companies, and collaboration. It's where the statewide AI community meets (including programs like AI Utah 100). Our leads host office hours alongside student cohorts so talent pipelines intersect with hiring managers—not just conference badges.
We stay embedded in Silicon Slopes, the nonprofit powering Utah founders, so Nexus clients indirectly tap that deal-flow and partner choreography while recruits from our internship bench meet operators face to face.
Public sector
Government & public policy
Nexus architects responsible AI deployments with Utah departments and institutes—typically in concert with collaborators like the Gary R. Herbert Institute for Public Policy—so backlog, procurement, governance, and model risk stay aligned before code ships. Mentor-led student teams rotate through these programs with the same Nexus leads who oversee commercial work.
Utah Office of Data Privacy
AI applied to data governance and privacy management—improving compliance efficiency and strengthening transparency and public trust.
Utah Department of Health & Human Services
AI-driven solutions that reduce manual review time and expand secure access to data for research and policy innovation.
Privacy-preserving infrastructure
Helping Utah build a modern, responsible data foundation that supports research while safeguarding citizens.
Expanding across departments
We are building additional AI solutions for more Utah departments—intelligent automation and data-driven decision-making at scale.
We partner with agencies to deploy responsible, privacy-preserving AI solutions.
Technology we use
About
Dr. Majid Memari
Academia · Industry · Community · Founder of Nexus AI Solutions
Academia. Majid is Assistant Professor of Computer Science at Utah Valley University. He teaches and researches applied AI, machine learning, and generative AI, including UVU work on drone RGB and thermal imaging for wind-turbine maintenance. Prior research includes the University of Utah One-U Responsible AI Initiative, a postdoc at the University of Pennsylvania (with Stanford and Johns Hopkins collaborations), and research-assistant work at Southern Illinois University Carbondale. More at LinkedIn and Google Scholar.
Industry. In Utah's Silicon Slopes tech community he consults with Clarion AI Partners on LLM and agent workflows—including when to use AI and when not to. Through Nexus AI Solutions he provides AI consulting and team training: Advisory engagements on how to adopt AI, plus instructor-led workshops and in-house team training. He is a Certified Instructor for the NVIDIA Deep Learning Institute, and earlier did data-science work at Potentia Analytics.
Community. At the Gary R. Herbert Institute for Public Policy he collaborates with the Utah Office of Data Privacy and the Utah Department of Health and Human Services (DHHS) on AI for data governance and privacy, and contributes to One-U RAI public and policy conversations. He was selected for the AI Utah 100 in 2026.
At Nexus, Hamid Memari leads technical delivery when an industry engagement includes implementation. Academic profile: majidmemari.com.
Ph.D.
Computer Science, SIU Carbondale
UVU
Assistant Professor of Computer Science
NVIDIA
University Ambassador & DLI Instructor
2026
Selected for the AI Utah 100
Careers
Join the team
Multiple concurrent AI projects—we hire interns who want production experience, not only coursework.
AI Engineer Intern
Fully online
If you want real-world AI engineering experience, reach out—we always have multiple projects in flight and we hire interns on a rolling basis. You'll work alongside Nexus principals and peer engineers on production-minded tasks: LLMs and RAG, agentic workflows, cloud integrations, and domain projects that ship.
What you might do
- Contribute to LLM-powered apps, evaluation, and tooling
- Help build agentic systems and integrations with cloud data services
- Support EdTech, simulation, and public-sector initiatives with mentorship
What we look for
- Curiosity and follow-through; Python and interest in LLMs/APIs are a plus
- Willingness to learn—we pair you with concrete tasks and feedback
Not sure if you're a fit? We still want to hear from you— get in touch.
Contact
Let's work together
AI consulting, workshops, or team training — send a message and we'll respond promptly.
Frequently asked questions
Our active client work is AI consulting and team training. We advise organizations on how to adopt AI — and when not to — and we train teams through workshops and hands-on sessions. When you need a system built, that is a separate, scoped statement of work: retrieval over private documents, agents, evaluation, and production hardening.
Organizational training is scoped to your team's tools and goals — typically a half-day or full-day workshop, or a short series. NVIDIA Deep Learning Institute sessions use GPU-accelerated labs and DLI-style certificates of completion. Campus student workshops at participating universities are offered at no charge to students.
Every statement of work is executed under Nexus AI Solutions LLC. Dr. Majid Memari — Assistant Professor of Computer Science at Utah Valley University, NVIDIA University Ambassador, and Principal AI Architect at the Gary R. Herbert Institute for Public Policy — anchors architecture, retrieval/agent systems, evaluations, and governance. Hamid Memari leads technical delivery: integrations, backends, CI hygiene, and production cutovers. Both principals are in Utah's Salt Lake metro — not a revolving cast of subcontractors.
You're engaging Nexus AI Solutions LLC as an independent business—typically milestone- or deliverable-based statements of work—not putting our principals on your payroll. Nexus assigns who does the work (principals today; vetted bench later as we scale). That keeps IP, invoicing, and responsibility with the company delivering the outcomes you bought.
We work across education, government, healthcare, public safety, and enterprise. Our solutions range from AI-powered EdTech platforms and emergency-services simulation training to privacy-preserving data systems for state agencies.
Absolutely. We integrate with AWS, Azure, GCP, on-prem infrastructure, and hybrid setups. Our team has deep experience with Python, PyTorch, LangChain, Next.js, and modern cloud-native architectures.
We prefer to de-risk with a paid discovery sprint: goals, constraints, architecture, backlog, risks, latency and cost envelopes, then a concrete build proposal or milestone plan. Larger builds proceed in phases—with evaluation hooks early—rather than committing to ambiguous fixed scope without shared understanding.
Yes—normally as separate, signed follow-on work: stabilization windows, model/prompt upkeep, retrieval tuning, observability tweaks, docs, or a clearly bounded sustainment sprint. Nexus sells projects and phased SOWs, not pretending to be embedded FTE unless your procurement deliberately buys a capped sustainment engagement with explicit boundaries (never implied 24/7 on-call unless written into the SOW).
Security and privacy are core to every engagement. We build with encryption at rest and in transit, role-based access, audit logging, and compliance with frameworks like HIPAA, FERPA, and state data-privacy regulations.