01
Cloud
Strategy, migration, platform engineering, security, operations, and FinOps across the cloud platforms that fit the workload.
Cloud · AI · Infrastructure
Cloud, AI, and the infrastructure behind them — one accountable team.
ONCIDI helps organizations design, deliver, and govern cloud platforms, production AI systems, and accelerated compute—connecting engineering judgment with commercial discipline from decision to production.
The Practice
Three connected practices. One accountable team.
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AI
Use-case selection, RAG and agent systems, evaluation, governance, observability, and cost per request.
03
Infrastructure
Accelerated-compute capacity access, option qualification, commercial structuring, activation, utilization, and commitment governance.
What Triggers a Call
The recurring problems we are asked to solve.
01
Unclear cloud economics
Spend is rising without reliable allocation, forecasting, or unit economics, leaving engineering and finance unable to identify cost drivers or govern commitments.
02
High-risk migration
Target architecture, dependencies, cutover sequencing, and rollback paths remain unresolved, increasing delivery risk before workloads move or operational teams are ready.
03
Fragile operations
Critical knowledge sits with a few people while monitoring, runbooks, recovery procedures, and ownership lag behind the environment's operational demands.
04
AI pilot stalled before production
The prototype works, but evaluation, observability, security, failure handling, and cost controls are insufficient for dependable operation with real users.
05
GPU capacity decision before workload qualification
Capacity is pursued before model behavior, memory needs, throughput, topology, and utilization are understood, creating avoidable cost and architecture constraints.
06
Infrastructure spend without unit economics
Monthly infrastructure costs lack attribution by workload, model, team, or outcome, making utilization decisions and renewal negotiations difficult to defend.
Connected Capabilities
Engineering judgment and commercial discipline, in one practice.
01
Advisory & architecture
Translate business goals, workload requirements, risk, and operating constraints into defensible platform decisions, target architectures, and sequenced roadmaps.
02
Migration & modernization
Assess dependencies, plan migration waves, and execute rehosting, replatforming, or refactoring with tested cutover, rollback, and handover procedures.
03
Platform & operations
Build repeatable delivery and operational foundations through infrastructure as code, observability, incident practices, resilience planning, and documented ownership.
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FinOps & governance
Connect allocation, forecasting, commitment management, access controls, and policy to accountable decisions across cloud, AI, and infrastructure spending.
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AI systems
Frame viable use cases, then design retrieval and agent systems with evaluation, traceability, human checkpoints, security, and measurable unit cost.
06
Accelerated compute
Translate qualified GPU demand into matched H200- and B300-class capacity options, then govern commercial terms, activation, utilization, and renewal.
How We Work
A clear path from decision to production.
- 01
Discover
Define the business outcome, then map the cloud estate, AI opportunities, data dependencies, compute demand, decision owners, and commercial constraints.
- 02
Assess
Establish an evidence base across application and data readiness, platform architecture, security, operations, cloud spend, AI risk, and infrastructure utilization.
- 03
Design
Create a vendor-neutral target state and phased roadmap connecting cloud foundations, production AI, accelerated infrastructure, FinOps, governance, and team ownership.
- 04
Deliver
Implement migrations, platforms, AI systems, and compute environments with production controls, measurable economics, documented operations, and knowledge transfer.
Why ONCIDI
Built for ownership, not dependency.
01
One architecture, one accountable team
Cloud platforms, AI systems, accelerated infrastructure, operations, and economics are treated as one connected architecture with one team accountable end to end.
02
Workload-led and vendor-neutral
Cloud providers, AI models, and compute options are compared against workload fit, risk, operating constraints, and total economics—not platform preference.
03
FinOps from the first decision
Allocation, forecasting, unit cost, commitment strategy, and utilization shape cloud, AI, and infrastructure decisions before contracts or capacity are locked in.
04
Production readiness over prototypes
Evaluation, security, observability, resilience, recovery, and cost controls are designed before AI systems or infrastructure reach production.
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Governance that scales
Security, access, policy, auditability, and decision rights are built across cloud, AI, and infrastructure so growth does not outpace control.
06
Designed for client ownership
Target architectures, automation, runbooks, decision records, and knowledge transfer enable client teams to operate and evolve the environment without avoidable dependency.
FAQ
Questions, answered directly.
No. ONCIDI evaluates cloud platforms, AI services, and infrastructure against the workload, operating model, risk, and commercial constraints.
Yes. Engagements can cover assessment, architecture, implementation, production readiness, operational handover, and retained technical support.
Cost allocation, forecasting, commitment management, and unit economics are built into cloud, AI, and infrastructure decisions rather than treated as a later cleanup.
ONCIDI designs RAG and agent systems with evaluation, observability, governance, security, and cost controls required for production operation.
Yes. ONCIDI helps qualified organizations define demand, evaluate H200- and Blackwell Ultra B300-class options, structure capacity access and commercial terms, and prepare the operating environment. Availability and delivery remain subject to supplier confirmation and contract.
A focused conversation to establish the workload, current environment, decision deadline, risks, and the smallest useful assessment or delivery scope.