Explore technical ideas before committing to full-scale development
NovCleda provides targeted software Research & Development (R&D) sprints to evaluate emerging AI models, complex system integrations, new database architectures, and high-risk technical feasibility before heavy capital investment.
Empirical R&D & Technical Feasibility
De-risking technical innovation through controlled spikes and evidence-backed research.
Technical Feasibility Research
Evaluating whether new technologies, frameworks, or APIs meet performance requirements.
AI & LLM Feasibility Studies
Testing accuracy, latency, vector store retrieval, and token cost of custom AI pipelines.
Proof of Concept (POC)
Building rapid, throwaway technical spikes to validate core algorithm functionality.
Prototype Development
Creating working technical prototypes to demonstrate value to investors and key stakeholders.
Architecture Research
Benchmarking microservice vs monolithic, SQL vs NoSQL, and serverless vs containerized setups.
Technology Evaluation
Comparing third-party SDKs, open-source libraries, and SaaS tools for long-term viability.
Performance & Stress Experiments
Simulating high-concurrency traffic, database indexing limits, and API load bounds.
Integration Validation
Prototyping complex legacy ERP, banking, or hardware-software API communication links.
The 6-Step R&D Scientific Framework
Problem → Hypothesis → Experiment → Prototype → Evidence → Decision
01. Define the Unknown
Identify the critical technical risk or performance bottleneck holding back product development.
02. Formulate Hypothesis
Define measurable target benchmarks (e.g., 'Vector search latency must be under 150ms at 100k records').
03. Run Controlled Experiment
Develop targeted code benchmarks, test alternative libraries, and isolate variables.
04. Build Working Prototype
Construct a functional proof-of-concept demonstrating the solution end-to-end.
05. Gather Empirical Evidence
Collect benchmark logs, CPU/memory telemetry, latency distribution graphs, and cost estimates.
06. Make Go / No-Go Decision
Deliver an objective R&D report recommending build, pivot, or abandon with full data backing.
Proof of Concept (POC) vs. Minimum Viable Product (MVP)
Understanding the difference protects engineering budgets and prevents premature scaling.
| Dimension | Proof of Concept (POC) | Minimum Viable Product (MVP) |
|---|---|---|
| Primary Objective | Validate technical feasibility (Can we build it?) | Validate market demand (Will users pay for it?) |
| Target Audience | Internal technical team & investors | Real end-user customers |
| Build Horizon | 1 to 3 weeks | 6 to 8 weeks |
| Code Lifetime | Experimental / Disposable spike code | Production-ready foundation |
Software R&D FAQ
Validate your high-risk software ideas with empirical evidence
Schedule an R&D feasibility consultation with NovCleda's software architects to evaluate your technical vision.