Validate your AI use case with a working prototype built on your real data in 2–4 weeks — before you commit to a full build.
Every AINinza PoC follows a structured five-step process designed to give you a confident go/no-go decision backed by real performance data — not assumptions.
Use case scoping, success criteria definition, and data audit
Data preparation, model selection, and initial prototype development
Performance benchmarking against success criteria with real data
Stakeholder demo, findings report, and go/no-go recommendation
Production roadmap and full-build scope (if PoC passes)
Eliminate the risk of committing $100K+ to an AI use case that may not deliver ROI
Get a working prototype with real data in 2–4 weeks — not a slide deck
Make an informed go/no-go decision backed by performance data, not assumptions
An AINinza PoC is not a slide deck or a theoretical analysis. It is a working AI system built on your real data, tested against predefined success criteria, and presented with clear metrics.
2–4 weeks
Typical PoC Timeline
$10K–$25K
PoC Investment Range
6–12 weeks
PoC to Full Build
The PoC investment is a fraction of a full build and eliminates the risk of spending $100K+ on a use case that may not deliver results. If the PoC fails, you have a clear understanding of why and can pivot before committing further resources.
An AINinza PoC is designed for extensibility — the code, architecture, and data pipelines built during the PoC carry forward into the full build. There is no throwaway work.
AINinza presents the PoC results to stakeholders with a live demo, performance benchmarks, and a structured go/no-go recommendation. If the PoC meets success criteria, we proceed to production scoping.
We translate the PoC architecture into a production-grade design covering scalability, security, monitoring, and integration requirements. The output is a detailed project plan with milestones, resource needs, and timeline.
AINinza's engineering team extends the PoC codebase into a production system with enterprise-grade testing, CI/CD pipelines, monitoring, and staged rollout. Typical full-build timelines are 6–12 weeks after a successful PoC.
A PoC that does not meet success criteria is still valuable. It eliminates risk by preventing a much larger investment in a use case that would not have delivered results. AINinza provides a detailed post-mortem covering:
Not every AI project needs a PoC. If the use case is well-understood and has been validated in similar contexts, you can go straight to a full build. A PoC is most valuable when there is uncertainty about feasibility.
AINinza will tell you honestly during the discovery call whether a PoC is necessary or whether you should go directly to a full build. We do not sell PoCs when they are not needed.
Transparent pricing for custom AI development — from PoCs to production-grade AI systems.
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Learn moreShare your use case and data situation, and we'll scope a PoC that gives you a confident go/no-go decision in 2–4 weeks.
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