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AI Strategy & Advisory
AI readiness assessments, use-case discovery, ROI modeling, build-vs-buy decisions and GPU procurement advisory. A pragmatic roadmap that survives contact with your budget.
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What We Do
AI Consulting Services, End to End
Most AI consultancies stop at strategy decks. We come from data center, network and security engineering — so we take you from the first roadmap workshop to racked GPUs, benchmarked models and AI running in production.
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AI Infrastructure Design & Deployment
GPU cluster architecture, high-performance fabrics (InfiniBand / RoCE), AI storage, power & cooling design and deployment — on-prem, colocation, cloud or hybrid.
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AI Benchmarking & Performance
Independent benchmarking of GPUs, clusters and LLMs — training throughput, tokens/sec, latency and cost per token. Validate hardware before you buy; cut inference cost after you deploy.
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Generative AI & LLM Solutions
RAG systems, AI agents, enterprise copilots and fine-tuned models — including fully private LLM deployments where your data never leaves your infrastructure.
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MLOps & LLMOps
Model serving with vLLM and Triton, CI/CD for models, observability, evaluation pipelines and GPU cost governance — so AI keeps working after launch day.
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AI Governance, Security & Compliance
AI risk frameworks (NIST AI RMF, EU AI Act readiness), DPDP-compliant sovereign AI, model red teaming and security hardening for AI platforms.
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Why OPLEXUS
The AI Consultancy That Has Actually Racked the Hardware
We spent years designing data centers, enterprise networks and security architectures before pivoting fully to AI. That matters, because the hardest AI problems today are infrastructure problems: GPU supply, network bottlenecks, power and cooling, and runaway inference bills.
When a pure-software AI shop hits a fabric congestion issue or a thermal ceiling, they call someone like us. When you work with OPLEXUS, that expertise is in the room from day one.
- Infrastructure-first AI expertise. Data center, network and security engineering heritage applied to GPU-era problems.
- Vendor-neutral advice. We benchmark NVIDIA, AMD and cloud options against your workload — we don't resell any of them.
- Benchmarks, not brochures. Every recommendation is backed by measured throughput, latency and cost-per-token data.
- Private & sovereign AI ready. On-prem and air-gapped deployments for regulated data — DPDP, HIPAA, SOC 2 aligned.
- Global delivery. Presence across India, the USA, UK, Saudi Arabia, Germany and Australia — enterprise quality at sensible economics, remote or on-site.
Where We Work
Our Global Presence
Teams and partners across six countries, with follow-the-sun coverage for remote and on-site engagements in every major region.
AMERICAS
Americas
Inference economics & enterprise scale
Enterprises past the pilot stage need production reliability and sane costs. We tame inference spend with benchmarking, design GPU capacity across cloud, neocloud and on-prem, and align AI platforms with SOC 2, HIPAA and NIST AI RMF postures.
EMEA
Europe & Middle East
Compliance-first & sovereign AI
With the EU AI Act and GDPR shaping every deployment, we build compliance-ready AI platforms, private LLM environments that respect data residency, and governance frameworks that pass regulator and procurement scrutiny.
APAC
Asia-Pacific
Infrastructure boom & cost-efficient AI
From India's GPU data center buildouts to regional digital-sovereignty mandates, we design and deploy on-prem and colocation GPU clusters and DPDP-aligned private AI platforms for BFSI, healthcare, government and telecom.
Proof of Work
Case Studies: Real Problems, Measured Results
A sample of engagements across our service lines. Client names withheld under NDA.
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512-GPU Training Cluster for a Fintech
Designed and deployed a rail-optimized GPU cluster with RoCEv2 fabric — 94% scaling efficiency at acceptance, delivered under budget.
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62% Inference Cost Reduction for a SaaS Platform
Benchmarked serving stacks and quantization levels, re-architected model routing — same quality bar, a fraction of the monthly bill.
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Claims Copilot for an Insurance Group
RAG-powered assistant over policy documents cut claims triage time by 70%, with grounded-answer evaluation gating every release.
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How We Work
From First Call to Production AI in Four Steps
01
Assess
AI readiness audit: data, infrastructure, skills and use cases. You get a scored report and a prioritized opportunity map.
02
Design
Reference architecture for models and infrastructure, validated with benchmarks and a business case your CFO will sign.
03
Deploy
We build it — GPU clusters, data pipelines, RAG systems, agents — with staged rollouts and acceptance benchmarks at every gate.
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Operate
MLOps, monitoring, cost governance and continuous evaluation. We hand over cleanly or run it with you as a managed service.
Industries
Where We Deliver Impact
Banking & Financial Services
Healthcare & Life Sciences
Manufacturing
Retail & E-commerce
Telecom & Data Centers
Government & Public Sector
SaaS & Technology
Energy & Utilities
FAQ
Frequently Asked Questions
What does an AI consulting company like OPLEXUS do?
We help enterprises adopt AI end to end: defining strategy and roadmaps, designing and deploying GPU/AI infrastructure, benchmarking model and hardware performance, building generative AI and LLM applications, and operating them reliably with MLOps and AI governance.
Do you serve clients globally?
Yes. We have presence across India, the USA, the UK, Saudi Arabia, Germany and Australia, and work with enterprise clients worldwide — delivering both remote and on-site engagements with follow-the-sun coverage.
Can you deploy AI on-premises for data privacy?
Yes. We design and deploy private and sovereign AI environments — on-premises GPU clusters, colocation builds and hybrid architectures — so sensitive data never leaves your control. Deployments are aligned with India's DPDP Act, HIPAA and SOC 2 requirements.
What is AI benchmarking and why does it matter?
AI benchmarking measures how models and hardware actually perform: training throughput, inference tokens per second, latency and cost per token. It lets you validate GPU purchases, right-size clusters and cut inference costs before committing budget — often saving far more than the engagement costs.
We already use cloud AI services. Why do we need you?
Cloud AI is a great start, but at scale the questions change: Is the spend right-sized? Would open models on dedicated GPUs cut cost 5–10x? Is your data governance defensible? We answer those with measurements, then build whatever the numbers justify.
How do engagements typically start?
Usually with a free discovery call, followed by a fixed-scope AI readiness assessment (2–4 weeks). That gives both sides a clear picture before any larger design or deployment commitment.
Ready to Move from AI Ambition to AI in Production?
Get a free 30-minute AI readiness consultation. We'll tell you honestly what's worth building, what it will cost, and where the quick wins are.
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Contact
Let's Talk About Your AI Roadmap
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Global Presence
India · USA · UK · Saudi Arabia · Germany · Australia
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Coverage
Global — remote and on-site engagements across all major time zones