Asset operations
MRO Nexus
An equipment-centered maintenance and overhaul workflow spanning commercial authorization, engineering, induction, planning, supply, execution, quality, and close.
AI engineering
AI Inference Economics Research
Explore documented AI inference memory and capacity trade-offs with transparent assumptions and research calculators.
Measure the workload before choosing the infrastructure.
The operating flow
One connected path through the work.
- 01
Define the outcome
Agree the tasks, quality floor, latency, recovery, and operating constraints.
- 02
Model the resources
Review memory, context, state traffic, compute, and deployment assumptions.
- 03
Measure a baseline
Compare actual workload quality and resource use against the modeled bounds.
- 04
Make the decision
Record tradeoffs, acceptance evidence, and the next infrastructure or runtime step.
The business case
Define the improvement before the investment.
The operating challenge
AI infrastructure discussion lacks explicit assumptions
The decision to improve
Transparent calculator inputs and resource models. Clearer planning assumptions and experiment design.
Who should be in the room
- AI platform architect
- Infrastructure planner
A focused first scope
One real AI workload with a quality floor; compare model estimates with a measured baseline and explicit operating constraints.
Build a measurable baseline.
Cost per verified task = total measured workload cost ÷ tasks meeting the same quality, latency and recovery acceptance criteria.
Agree the baseline, comparable scope, adoption, review effort, and realization assumptions. Include delivery and operating costs; count each benefit once.
Application scope
The work it brings together.
- Capacity and state sizing
- Context-policy analysis
- Inference roofline analysis
- Fleet and power scenarios
- Evaluation and recovery gates
- Cost-per-verified-task review
People & systems
Clear roles. Clear ownership.
AI platform owners · Enterprise architects · Infrastructure teams · Technology executives
Authoritative records
- Approved workload measurements
- Model and configuration records
- Infrastructure cost and capacity records
Governed by design
Authority stays with the people who own it.
Derived sizing estimates remain distinct from measured performance.
Infrastructure recommendations follow the agreed workload and quality evidence.
Read the workflow contract ↗A practical first scope
Start with a bounded operating decision.
Assess one material enterprise AI workload and define a measured baseline before committing to broader platform or infrastructure delivery.
Measures to agree with your team
Explore indicative investment ↗Questions, answered
The details that shape your next step.
Who uses this application?
AI Inference Economics supports ai platform owners, enterprise architects, infrastructure teams, technology executives. An engagement defines the relevant roles, permissions, and approval responsibilities for your organization.
How does it fit with our existing systems?
Approved workload measurements, Model and configuration records, Infrastructure cost and capacity records retain the records they own. AssetSolve connects the workflow through agreed identities, mappings, approvals, and confirmation of the resulting business state.
What is a useful first engagement?
Assess one material enterprise AI workload and define a measured baseline before committing to broader platform or infrastructure delivery.
How are scope and price agreed?
Start with a free initial assessment. The written proposal confirms the workflow, integrations, deliverables, acceptance criteria, responsibilities, and commercial terms. Published investment ranges are indicative.
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Applications that carry the work forward.
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Safety & integrity
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Review multimodal safety and security observations, assess readiness, and coordinate cases and corrective actions with operational context.
Work with AssetSolve
Start with the decision you need to improve.
Your initial assessment is on us. A first conversation about your challenge, use-case fit, and the right next step.