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On-Demand AI Labs & R&D Services | GenAI Protos
On-demand AI labs for rapid experimentation, generative AI prototyping, and use case validation. Run AI pilots, test LLM workflows, and reach proof of concept in days - GenAI Protos.
Flexible, on-demand AI research and experimentation services that help organizations validate AI use cases, reduce technical risk, and accelerate their Generative AI journey through rapid prototyping and proof-of-concept development.
AI Research and Experimentation
Enterprises and Startups
On-Demand AI Labs & Experimentation
On-Demand AI Labs & Experimentation helps enterprises run focused AI R&D to define the right roadmap, architecture, and models through real-world experimentation.
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ROI Focused · Enterprise Ready
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Our On-Demand AI Labs & Experimentation service is designed for organizations that know AI is critical - but need clarity on what to build, how to build it, and what actually works in their environment.
We act as your extended AI R&D team, conducting controlled experiments to evaluate architectures, models, data strategies, and deployment options. Instead of assumptions, we generate evidence-backed decisions through real experiments - covering performance, accuracy, privacy, cost, and scalability.
Rather than relying on theoretical assumptions or generic benchmarks, we generate evidence-backed insights by measuring accuracy, latency, cost, privacy impact, compliance readiness, and scalability using realistic datasets and workflows. Each experiment is designed to answer specific decision-critical questions that influence long-term success.
This approach helps enterprises move from high-level AI ambition to production-ready execution with confidence, ensuring that every technical choice - model, architecture, and data strategy - is validated through experimentation before scaling.
Navigating AI Complexity
Lack of internal expertise and undefined pathways often stall Enterprise AI. We bridge the gap between concept and deployment.
Unclear AI Roadmap
Difficulty turning AI ideas into a clear plan.
Limited Internal R&D Capacity
No dedicated team for AI research or experimentation.
Model Selection Uncertainty
Unclear choice between LLMs, SLMs, open, or proprietary models.
Architecture Confusion
Uncertainty around on-prem, private, or cloud setups.
Privacy & Regulatory Constraints
Compliance requirements limit safe experiments.
Early Technology Lock-In Risk
Wrong early choices lead to costly rework.
Unproven Feasibility & ROI
Hard to prove accuracy, performance, and value upfront.
What We Deliver
Strategic advisory and hands-on R&D to accelerate your AI journey.
AI Roadmap & Prioritization
Define a practical, experiment-driven AI roadmap aligned to business goals and technical constraints.
Strategic Planning
Business Alignment
Architecture Experimentation & Validation
Evaluate and compare on-prem, private, hybrid, and cloud AI architectures through real tests.
Infrastructure Testing
Cloud & Hybrid AI
Model Benchmarking & Selection
Benchmark and validate models (LLMs, SLMs, fine-tuned variants) to choose the best fit.
Model Evaluation
Performance Optimization
Feasibility Testing & Technical Proofs
Run experiments to prove technical feasibility, performance, and integration viability.
Technical Validation
Integration Testing
Data Strategy & Synthetic Data Experiments
Test data strategies including real, synthetic, and privacy-preserving approaches for training/testing.
Data Strategy
Privacy & Synthetic Data
Technical Workshops & Handover Sessions
Run sessions with your team to explain experiments, findings, and recommended paths for production.
Knowledge Transfer
Team Enablement
On Demand AI Labs: Use Cases in Action.
Real-world AI experiments validating models, architectures, and data strategies.
Clinical Trial Assistant
A fine-tuned Small Language Model that converts unstructured clinical visit notes into protocol-compliant summaries in under one minute, deployed securely on NVIDIA DGX Spark for complete data privacy.
Clinical AI
SLM
Healthcare Automation
NVIDIA DGX Spark
Protocol Compliance
Privacy-First
Fine-Tuned Model
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Spark Vault
Spark Vault is a secure, on-premises enterprise search solution for medical documents on NVIDIA DGX Spark, combining containerized AI models and vector databases for rapid, private searches without cloud dependency.
Enterprise Search
Medical AI
Vector Database
On-Premises
Document Search
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Synthetic Data Generation Strategy
AI-powered platform generating realistic patient records with medical reports, demographics, images, and professional PDFs at scale for ML training, testing, and demos without privacy or compliance concerns.
Synthetic Data
Healthcare Data
Privacy-Preserving
HIPAA Compliance
Model Training
Data Augmentation
Regulatory Safe
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Why GenAI Protos?
Tailored Approach
We customize methodology to your technical maturity and internal capabilities.
Technical Execution
We actively build, debug, and test alongside your technical teams.
Enterprise Expertise
Fortune 20 experience combined with startup-level agility.
Flexible R&D
On-demand services that integrate with your innovation pipeline.
Powered by Modern Technology
Leveraging cutting-edge AI frameworks and platforms for robust experimentation.
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FAQs
Who is this service best suited for?
Enterprises exploring AI but needing clarity on roadmap, models, and architecture before scaling.
Do we need an internal AI or R&D team to start?
No. GenAI Protos acts as your AI R&D team during the engagement.
Can experiments run fully on-prem or in private environments?
Yes. We specialize in on-prem, private, and sovereign AI setups.
How do you decide which models and architectures to test?
We define hypotheses upfront based on your use case, data, constraints, and goals.
What do we get at the end of an AI lab engagement?
A validated AI roadmap, architecture recommendations, and evidence-backed decisions.
Get Clarity on Your AI Approach
Evaluate models and architectures through real experiments.
Years Exp
20+
Day Sprints
8
IP Ownership
100%
Discuss With AI Experts
GenAI Protos – Redefining Enterprise AI
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On-Demand AI Labs & Experimentation helps enterprises run focused AI R&D to define the right roadmap, architecture, and models through real-world experimentation.

Our On-Demand AI Labs & Experimentation service is designed for organizations that know AI is critical - but need clarity on what to build, how to build it, and what actually works in their environment.
We act as your extended AI R&D team, conducting controlled experiments to evaluate architectures, models, data strategies, and deployment options. Instead of assumptions, we generate evidence-backed decisions through real experiments - covering performance, accuracy, privacy, cost, and scalability.
Rather than relying on theoretical assumptions or generic benchmarks, we generate evidence-backed insights by measuring accuracy, latency, cost, privacy impact, compliance readiness, and scalability using realistic datasets and workflows. Each experiment is designed to answer specific decision-critical questions that influence long-term success.
This approach helps enterprises move from high-level AI ambition to production-ready execution with confidence, ensuring that every technical choice - model, architecture, and data strategy - is validated through experimentation before scaling.
Lack of internal expertise and undefined pathways often stall Enterprise AI. We bridge the gap between concept and deployment.
Strategic advisory and hands-on R&D to accelerate your AI journey.
Leveraging cutting-edge AI frameworks and platforms for robust experimentation.
Real-world AI experiments validating models, architectures, and data strategies.
Everything you need to know about the services & billing

Evaluate models and architectures through real experiments.