
Rapid Proof of Concept
Quickly build, test, and iterate on a working Proof-of-Conept, leveraging latest GenAI tools and services.

From Concept to Working Prototype in 14 Days
Get a production-grade GenAI prototype built on your preferred infrastructure – cloud, on-premise, or hybrid. Quickly validate technical feasibility, test different models, and create a working solution that proves the value of your use case. Qualify for 75-100% funding when choosing AWS as your platform.
Business Challenge
Navigate barriers to AI adoption
PoC Failure
of Generative AI projects will be abandoned after Proof of Concept by end of 2025
Stagnation in AI Projects
of AI projects are stuck in the POC stage and are not productionized
Service Overview
A structured approach to GenAI innovation
- Overview of GenAI capabilities
- Business challenge identification
- Discussions for use case exploration
- Alignment with business objectives
- Value-feasibility assessment matrix
- Prioritization of identified opportunities
- ROI potential evaluation
- Selection of target use case for PoC
- Rapid prototype creation
- Agile development cycles
- Continuous stakeholder feedback
- Iterative refinement process
- PoC demonstration
- Performance metrics review
- Impact assessment
- Solution recommendations
- Implementation strategy
- MVP development plan
- Next steps definition
Measurable Business Outcomes
Strategic Opportunity Identification
Improvement in operational efficiency through strategic opportunity identification for businesses using GenAI.
Value-Based Evaluation
Potential for use cases that value-feasibility assessment can help identify compared to traditional approaches.
Rapid Value Realization
Faster deployment cycles by combining agile sprints and automation of GenAI solutions.
Cost & Investment
Risk-free exploration of GenAI potential
Rapid prototype development
Expert guidance and knowledge transfer
Clear pathway to implementation
How Rapid Proof of Concept Works
The GenAI Rapid Engineering & PoC is an accelerated 2-week engineering sprint focused on building and testing a production-ready prototype.
Phase I: Technical Discovery
- Use case technical requirements analysis
- Infrastructure and platform evaluation
- Foundation model selection testing
- Architecture blueprint development
Phase II: Rapid Prototyping
- Working prototype development
- Multi-model integration and testing
- Custom prompt engineering
- Performance optimization and tuning
Phase III: Production Readiness
- Production environment setup
- Security implementation
- Performance benchmarking
- Deployment documentation
Testimonials
Generative AI Success Story
Roman Jasins, Co-Founder of Peak Defence, shares the technical perspective on the successful implementation of their GenAI based cybersecurity platform in collaboration with Neurons Lab and AWS.
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