AVOUS designs, deploys and operates the AI infrastructure, enterprise networks and digital twin environments that modern enterprises run on — and enables the teams responsible for running them.
You've bought the GPUs. You've signed the NVIDIA contract. You've got the Cisco quote. Now your team is staring at a network that wasn't built for AI workloads, a data center that can't handle thermal load, and a deployment timeline that's already 3 months behind. The problem isn't AI. The problem is everything underneath it.
Traditional DC networks weren't designed for GPU east-west traffic, RDMA/RoCE, or 400G/800G compute fabrics. You need specialist engineering — not a generalist SI.
Industrial plants run disconnected systems with no real-time visibility, no simulation capability, no cross-site comparison. Decisions made hours after the fact.
System integrators win AI deals but need specialist sub-contractors for GPU networking, digital twin, and complex AI infrastructure delivery at scale.
Network, data center and infrastructure assessment — what you have, what works, what will break under AI workloads. Independent, documented, yours to keep.
A multi-year roadmap built from your own environment: what to remediate, in what order, and what each phase makes possible — mapped to the AI applications coming into your business.
Execute the roadmap: network modernization, data center readiness, security segmentation, automation — delivered through our fixed-scope methodology.
On the AI-ready foundation, deploy what it was built for: Vision AI for safety and compliance, digital twins for prediction and simulation, AI platforms for operations.
Day-2 operations, managed services and team enablement — one site to all sites, with your people trained to run it.
A biopharma manufacturer engages AVOUS for a network assessment. New AI applications are on their roadmap, so the assessment becomes a 5-year AI-readiness roadmap: Year 1, remediate the network foundation. Year 2, AI-ready infrastructure. Year 3, a Vision AI pilot — PPE and cleanroom compliance monitoring on one line. Year 4, a process twin detecting batch deviations before product is lost. Year 5, a site-wide operational twin. One assessment became a transformation program — each phase justified by the one before it.
Begin with an AI-Readiness Assessment — current state, gap analysis, and a phased roadmap mapped to your AI ambitions.
Run this same journey inside your accounts — AVOUS delivers the assessment, roadmap and specialist execution white-label, under your brand.
Office and campus networks — switching, routing, segmentation, access control, configuration consistency, resiliency and lifecycle status.
Wireless surveys and assessments — coverage, capacity, interference, roaming behaviour, Wi-Fi 6/6E readiness and secure onboarding.
Branch connectivity, WAN transformation readiness, SD-WAN policy and performance, internet edge, QoS and application experience.
DC network architecture, spine-leaf and fabric health, compute and storage networking, DCI, HA/DR posture — and readiness for AI workloads.
Plant-floor and OT networks — industrial segmentation, IT–OT boundaries, control-system connectivity, resilience and visibility across sites.
Cloud connectivity, hybrid architecture, security integration and the network dependencies of your cloud and SaaS estate.
Segmentation and access review, firewall policy hygiene, Zero Trust readiness — security assessed as part of the architecture, not an afterthought.
Can your infrastructure carry the AI applications on your roadmap? Gap analysis against AI workload requirements, with a phased multi-year remediation roadmap.
Enterprise networking · Data center · Security · Service Provider
GPU clusters · Secure AI Factory · HPC fabrics · AI-ready DC
Asset twin · Process twin · Factory twin · Agentic AI
Three live twins of real industrial assets. Change the operating conditions, inject a fault, and watch the twin predict what follows — while the physical asset keeps running untouched. That asymmetry is the entire proposition of a digital twin.
Applied to the twin only — the physical asset holds its baseline.
None of this could be done on the real asset. Every scenario above would have cost production time, risked equipment or people, or breached a validated process. In the twin it costs a slider movement.
Illustrative models built for explanation. Production twins are calibrated against your plant's own historical data.
One machine, pump, transformer or network device
One line, process or service path end to end
Whole facility — production, utilities, safety, IT/OT
Several plants on one common data model
All sites, all verticals, one command center
Platform, integration and model-health monitoring · dashboard and simulation updates · quarterly value review · new use-case onboarding. Available with any package from Pilot upward.
A digital representation of a single asset — pump, motor, transformer, CNC machine, network device — the lowest-risk way to establish whether digital twin technology creates measurable value in your environment.
The outcome: a low-risk entry that proves — or disproves — the business case before the organization commits to a program.
A connected representation of multiple assets, data sources and operating rules forming a complete process — a production line, kiln, furnace, warehouse flow or network service path.
The outcome: how assets behave together — and where the process becomes faster, more efficient, more predictable.
Production-flow simulation, material & vehicle movement, equipment placement validation.
Expansion planning, energy and utility optimization, maintenance and shutdown planning.
Safety-zone modeling, emergency scenarios, camera placement and vision-AI validation.
Cross-functional operational command view with role-based dashboards.
A physically accurate factory twin finds layout errors, validates automation and identifies bottlenecks while changes are still cheap — on screen rather than on the floor.
Model and simulate enterprise, data center, campus, industrial and SD-WAN environments — then test what a change or failure actually does.
A network twin built by people who have run production networks models behaviour — not just topology. Change windows that hold. Failovers that work.
Visibility into how enterprise IT infrastructure supports operational technology and industrial processes.
The outcome: IT and OT teams working from one shared dependency map.
Camera placement planning, PPE and intrusion detection, safety-zone monitoring, quality inspection, synthetic data generation. Camera placement validated in simulation costs a day; validated after installation costs a re-installation.
Robot path planning, AMR testing, warehouse automation, collision and safety testing, human–robot interaction — built on NVIDIA Omniverse and OpenUSD workflows.
Fire, gas leakage, evacuation, power interruption and first-response coordination simulated in a controlled virtual environment. Supports planning — never replaces certified safety processes.
A common operational model across plants, warehouses, data centers, mines, ports and utility sites.
Connected visibility across sites, business units and strategic indicators — governed centrally, operated locally. Built to answer: where should the next capacity investment go? How does a disruption at one plant affect commitments elsewhere? Which facilities approach their limits?
Level 5 is scoped individually following a Discovery engagement.
Stakeholder alignment, use-case prioritization, data readiness, value assessment, recommended starting point.
Data, IT/OT architecture, telemetry coverage, AI maturity, security, skills and operating model — evaluated before you invest.
Defined scope, agreed data, measurable success criteria, demonstration scenarios, scale recommendation.
Platform, IoT/telemetry, IT–OT integration, models, simulation, AI, dashboards, security, production rollout.
Executive workshops, platform training, Omniverse/OpenUSD enablement, IT–OT networking training, knowledge transfer.
Platform, data-quality and model-health monitoring, dashboard enhancement, continuous optimization — on request.
Best for pilots and fast proof. No on-site infrastructure required. Typical in discrete manufacturing, logistics and smart buildings.
Data never leaves site. Edge and on-site compute, GPU where simulation demands it. Typical in pharma, defence, utilities and primary metals.
Edge collection on site, central simulation and AI. Only aggregated data crosses the boundary, and the boundary is defined and documented.
Campus LAN architecture, Software-Defined Access, enterprise wireless with surveys and assessments, NAC and identity-based segmentation, branch connectivity transformation.
SDA · Wireless · NAC/ISE · SegmentationSD-WAN design and migration, internet and WAN transformation, application-aware networking, QoS assessment, high-availability and resiliency design.
SD-WAN · WAN Edge · QoS · HANetwork automation (Ansible, Python, controller-driven), assurance and observability, configuration standardization, network health checks, IPv4/IPv6 planning.
Automation · Observability · StandardsNetwork refresh and migration with Method of Procedure, rollback planning, performance and capacity optimization, as-built documentation and knowledge transfer.
Migration · MOP · As-Built · KTSpine-leaf design, Cisco Nexus environments, ACI policy architecture, EVPN/VXLAN fabrics, data center interconnect and multi-site design.
Nexus · ACI · EVPN/VXLAN · DCICisco UCS compute, virtualized infrastructure, platform integration, capacity planning and infrastructure readiness for AI workloads.
UCS · Virtualization · AI-ReadyStorage-area networking, Cisco MDS environments, NVMe-oF designs, high availability and disaster recovery connectivity.
SAN · MDS · NVMe-oF · DRData center migration and consolidation with port matrices, migration runbooks, test plans, rollback plans and operational SOPs.
Migration · Runbooks · SOPsIP/MPLS architecture, Segment Routing, provider edge and core networks, internet edge, carrier Ethernet, multi-vendor interoperability.
MPLS · SR · Carrier EthernetL2/L3 VPN service design, BGP, OSPF and IS-IS, route-policy design, QoS design, convergence assessment.
L2/L3 VPN · BGP · Route PolicyService validation, network migration planning and execution, performance and capacity analysis, high-availability architecture.
Validation · Migration · CapacityNOC operational enablement, Day-2 troubleshooting, remote escalation support and resident engineering for provider environments.
NOC · Escalation · ResidentFirewall architecture and migration (Palo Alto, Fortinet, Cisco, CheckPoint, F5), secure access, VPN and remote access design.
NGFW · Migration · Remote AccessNetwork access control, identity-based segmentation, micro-segmentation, Zero Trust readiness across campus, DC and cloud.
NAC · Micro-Seg · Zero TrustSecurity architecture assessment, policy and configuration review, security hardening, vulnerability remediation support.
Assessment · HardeningCloud security integration, DC security, security operations integration and knowledge transfer — embedded in infrastructure delivery, not bolted on.
Cloud · SecOps · KTAI infrastructure strategy, workload discovery, readiness assessment, GPU infrastructure planning, reference-architecture alignment.
Accelerated compute architecture, high-performance network fabric — RDMA/RoCE, 400G/800G — cluster architecture, AI DC readiness including power, cooling and rack coordination.
AI storage architecture, Kubernetes and container platform alignment, platform integration, AI workload onboarding.
Performance validation, infrastructure observability, GPU telemetry, capacity and utilization planning.
Security and segmentation for AI environments, operational readiness, governance.
Team enablement so the platform is operated with confidence after handover — connected to our Training pillar.
Proof of Value confirms a solution delivers a meaningful business outcome. Proof of Concept validates that a technology or integration works under defined technical conditions.
Monitoring, incident response, configuration governance, RCA, capacity planning, lifecycle and patch planning, health checks, vendor coordination, operational reporting and continuous optimization.
Operating models from 8×5 to 24×7 — scoped and staffed by agreement, with defined priorities, response targets, escalation matrix and monthly governance. SLAs are defined in signed agreements, never assumed.
Network, data center, security, wireless, SD-WAN, service provider, AI infrastructure and digital twin specialists — plus architects, technical PMs and documentation specialists. Individual experts or dedicated teams; short deployments or long-term augmentation; remote, onsite resident or hybrid.
Not a staffing agency — engineering capacity integrated with AVOUS technical leadership and delivery governance.
AI, ML and deep learning foundations, generative AI, LLMs, prompting, responsible AI and adoption roadmaps — for technical and non-technical professionals.
Curriculum coming soonFoundation models, prompt engineering, RAG, embeddings and vector databases, AI agents, evaluation, governance — prototype to production.
Curriculum coming soonAgents, tools, memory and planning; multi-agent concepts; human-in-the-loop controls; enterprise integration; evaluation and observability.
Curriculum coming soonAI workload lifecycle, GPUs and clusters, high-performance networking, storage for AI, containers and orchestration, sizing, operations.
Labs & curriculum coming soonTraining designed around published NVIDIA certification objectives — Generative AI & LLMs, AI Infrastructure & Operations, Omniverse and Vision AI foundations. Availability and alignment subject to final confirmation.
Schedules coming soonNetwork fundamentals, IP connectivity and services, security fundamentals, automation — aligned to current published exam objectives with practical configuration labs.
Curriculum coming soonENCOR-aligned training, advanced routing, SD-WAN, Software-Defined Access, wireless, ISE, network automation and troubleshooting.
Schedules coming soonNexus, ACI, UCS, MDS and storage networking, DC design and troubleshooting, AI-ready data center networking — includes our flagship DCAI + AI-Q Lab programs above.
Flagship live nowDigital twin fundamentals and strategy, Omniverse and USD foundations, building asset and process twins, IT/OT and Vision AI integration.
Curriculum coming soonBuilt around your environment, stack, roles and outcomes: discover skills gap → define outcomes → customize curriculum → prepare labs → deliver → assess → recommend next steps.
Available nowAVOUS delivers certification-aligned and exam-preparation training based on published objectives. Course availability, curriculum and certification alignment are subject to final confirmation. AVOUS is not currently an authorized training partner of Cisco or NVIDIA; official curriculum delivery is provided in collaboration with authorized learning partners where applicable.
Safety monitoring, predictive maintenance, OEE optimization, factory twin deployments. Steel, cement, automotive, process.
Unmanned inspection, gas and thermal anomaly detection, pipeline twin, hazardous zone monitoring.
Substation inspection twin, transformer health monitoring, grid simulation and efficiency optimization.
Sterile facility monitoring, cleanroom simulation, GMP/ISO compliance twin, batch process deviation detection.
AI-ready DC infrastructure, GPU cluster networking, Secure AI Factory, network digital twin for change simulation.
Multi-building campus infrastructure, OT/IT integration, network modernization, unified operational visibility.
You win the deal. We deliver the technical depth — under your brand, under NDA, with full IP assignment to you as prime contractor.
We create workloads that drive infrastructure demand. Our Digital Twin deployments naturally scale into Cisco and NVIDIA infrastructure requirements.
Fixed-scope pilot. Proven value in 4–6 weeks. Scale from one site to all sites. WOSB + MBE diversity eligible.
Presales architects, RFP response support, requirements analysis, BoM validation, HLD/LLD development.
Lab validation, POV/POC execution, implementation, migration and cutover, testing and acceptance, documentation.
Resident engineers, remote engineering teams, Day-2 support, complex technical escalation, customer workshops and knowledge transfer.
AVOUS was built from one observation: enterprises are buying AI but the infrastructure is not ready for it. The gap is not in the AI models. It is in the network, the data center, the operational layer. That is where AVOUS operates.
We are engineering-led, not sales-led. When you work with AVOUS, you get certified engineers who have personally designed and delivered complex environments — not account managers managing offshore teams.
Headquartered in Fremont, California. Delaware C-Corp. Women-Owned Small Business certification in progress. NVIDIA Inception application in progress. Top certified engineers across Cisco, NVIDIA, and multi-OEM environments.
Founder and WOSB holder. Business governance, financial management, and compliance. The legal and operational foundation of AVOUS Inc.
Leads strategy, solution architecture, go-to-market execution, and delivery operations. Deep enterprise infrastructure background across the Cisco and NVIDIA ecosystems, and heads the Digital Twin practice.
Start with a free 30-minute conversation. We'll tell you exactly what's standing between you and a working AI environment — and what it costs to fix it.
Fremont, California, USA
Delaware C-Corporation
WOSB & MBE certifications — in progress
NVIDIA Inception — application in progress
CCIE DC #53426 · Multi-OEM certified engineers
"We don't just build infrastructure — we engineer the system that makes AI actually work in production."
Sameer Mittimani · Director, Strategy & Delivery · CCIE DC #53426