Validate AI-powered R&D with human experts
Turn AI-generated research into validated, actionable insights in 7-10 days. Our platform connects you with vetted domain experts who verify assumptions, identify risks, and provide evidence-backed feedback that transforms uncertainty into confident decisions.
The Problem We Solve
AI can generate research at unprecedented speed, but teams still struggle to verify claims quickly and confidently. Without expert validation and fast access to the right validators, unverified assumptions drive costly decisions and delays.
Validation Gap
AI research lacks human expert verification, leaving critical assumptions unvalidated. Without expert review, teams cannot confidently act on AI-generated findings, leading to costly mistakes and wasted resources.
Impact: 40% of AI-generated research contains unverified assumptions that require costly corrections later.
Consequence: Failed projects waste significant resources when assumptions prove incorrect, requiring expensive corrections later.
Expert Discovery
Finding the right domain expert is slow and unreliable. Teams waste time searching networks and cold-contacting consultants, with no guarantee of expertise match or availability.
Impact: Weeks lost sourcing experts before work even begins.
Consequence: Delayed validation and missed market windows.
Procurement Delays
Traditional procurement slows small validations: scoping calls, statements of work, and invoicing cycles add weeks. Meanwhile, projects stall and decisions wait.
Impact: 2–6 weeks of administrative delay per engagement.
Consequence: Slow decisions and higher opportunity cost.
How RND Pool Works
Match with vetted experts, get competitive proposals, and receive evidence-backed validation — fast.
Match
Our AI matchmaker invites relevant, verified experts to your project based on domain expertise, credentials, and availability.
- AI-powered invitations to vetted experts
- Profiles with credentials and publication history
Bid
Experts submit proposals with their own pricing and timeline. Compare options transparently and select the best fit.
- Multiple proposals, transparent comparisons
- Competitive pricing via bidding
Validate
Selected experts deliver structured, evidence-backed validation with clear acceptance criteria and escrow-backed payments.
- Executive summary, findings, risks, experiment plan
- 7–10 day typical turnaround
A marketplace for research validation
Experts sync profiles with LinkedIn or build manually, highlighting domain expertise. Our AI matchmaker analyzes research requirements and invites relevant experts to review and bid on projects. Clients fund work via escrow for trusted delivery, ensuring aligned incentives and payment protection.
The platform handles everything from matching to delivery: expert verification, milestone escrow, structured templates, and asynchronous collaboration. It's a complete ecosystem for research validation at scale, handling matching, payments, and project management automatically.
- AI-powered expert matching — Intelligent algorithm matches experts to research needs
- Escrow-backed milestone payments — Secure payment protection for both parties
- Structured deliverable templates — Consistent, actionable feedback formats
- Asynchronous collaboration tools — Work across time zones efficiently
- Clear acceptance criteria — Align expectations up front
Why RND Pool
Six compelling reasons why research teams choose RND Pool over traditional consulting and internal validation processes. Each advantage translates directly to faster decisions, reduced risk, and better outcomes.
7x Faster Delivery
Average 7-10 day turnaround compared to 4-8 weeks for traditional consulting firms. Get validated insights when you need them, not when consultants are available. Faster validation means faster decisions and faster time-to-market.
Competitive Bidding System
Experts bid on projects with their own pricing, giving you multiple options to choose from. Compare proposals based on expertise, pricing, and timeline. Transparent bidding ensures you get the best value for your specific needs.
AI-Matched Experts
Access to vetted experts across 12+ domains. AI matching ensures the right expert for your research. No more searching through networks or settling for available consultants. Get matched with the perfect expert for your domain.
Escrow Protection
Built-in milestone escrow protects both clients and experts. Pay only when deliverables are accepted. No upfront payments or payment disputes. Secure transactions build trust between parties.
Verified Experts
Identity, credentials, and experience verified. Work only with vetted experts who have proven domain expertise and communication quality.
Transparent Process
Clear milestones, acceptance criteria, and escrow-backed delivery. Full visibility from proposal to acceptance.
Process Deep Dive
Understanding exactly how RND Pool works — from research submission to validated insights. Our streamlined process ensures quality, speed, and transparency at every step.
Submit Research Scope
Clients submit research objectives, artifacts, constraints, and timeline. Our platform guides you through scope definition, ensuring all necessary context is captured. Scope includes problem statement, research questions, existing knowledge, and success criteria.
Timeline: 15-30 minutes to submit complete scope
AI Expert Matching
Our AI matchmaker analyzes research requirements and identifies relevant experts from our vetted pool. Matching considers domain expertise, publication history, industry experience, and availability. Experts receive invitations with project details.
Timeline: Matches delivered within 24 hours
Expert Bidding & Selection
Experts review opportunities and submit competitive bids with their own pricing and timeline. Clients review expert profiles, credentials, and proposals. Selection is based on expertise match, proposed pricing, timeline, and communication quality. The bidding system ensures competitive pricing and allows you to choose the best fit.
Timeline: 1-2 days for bidding and selection
Escrow Funding & Kickoff
Clients fund milestones via escrow, ensuring payment protection. Experts begin work with clear acceptance criteria and milestone definitions. Escrow ensures aligned incentives and secure transactions for both parties.
Timeline: Immediate escrow setup, expert begins same day
Expert Validation & Review
Experts review research using structured templates and deliverables. Deliverables include executive summary, evidence-backed findings, risk register, and experiment plan. Asynchronous collaboration enables efficient communication across time zones.
Timeline: 7-10 days typical delivery time
Review, Iterate & Accept
Clients review deliverables and request revisions if needed. Iteration process ensures deliverables meet acceptance criteria. Upon acceptance, escrow releases payment to experts. All deliverables are archived for future reference.
Timeline: 1-2 days for review and acceptance
Use Cases
Real-world applications across industries where AI research validation accelerates decision-making and reduces risk. Each use case demonstrates specific value and measurable outcomes.
Biotech Research Validation
Validate AI-generated hypotheses about drug interactions, protein structures, or clinical trial designs before committing resources. Expert review identifies safety concerns, validates experimental protocols, and ensures regulatory compliance. Common applications include drug target identification, toxicity prediction, and clinical trial design validation.
Financial Model Verification
Get expert review of quantitative models, risk assessments, and algorithmic trading strategies for regulatory compliance. Experts verify assumptions, validate methodologies, and ensure models meet regulatory standards. Applications include credit risk models, market risk assessments, and algorithmic trading strategies.
Technical Architecture Review
Validate system designs, scalability assumptions, and security architectures proposed by AI engineering assistants. Expert review identifies bottlenecks, security vulnerabilities, and scalability issues before implementation. Common uses include cloud architecture design, microservices patterns, and security architecture validation.
AI Model Evaluation
Expert assessment of model architectures, training methodologies, and performance claims for production readiness. Experts validate benchmarks, review training data, and assess production feasibility. Applications include model architecture review, training methodology validation, and performance claim verification.
Industrial Research
Validate materials science research, process optimization models, and manufacturing innovations. Experts review material properties, validate process improvements, and assess manufacturability. Common applications include material property validation, process optimization, and manufacturing feasibility assessment.
Energy & Climate
Review sustainability models, energy efficiency calculations, and climate impact assessments. Experts validate carbon calculations, verify efficiency claims, and assess environmental impact models. Applications include carbon footprint calculations, renewable energy efficiency models, and climate impact assessments.
Genomics Research
Validate AI-generated genomic analysis, drug target identification, and personalized medicine models. Experts review sequencing accuracy, validate therapeutic targets, and assess clinical applicability. Common uses include variant calling validation, drug target identification, and personalized treatment models.
Cybersecurity Research
Expert review of threat models, vulnerability assessments, and security architectures. Experts validate attack vectors, review mitigation strategies, and ensure comprehensive security coverage. Applications include threat modeling, vulnerability assessment, and security architecture review.
Materials Science
Validate computational materials research, property predictions, and synthesis pathways. Experts review simulation accuracy, validate property predictions, and assess synthesis feasibility. Common applications include property prediction validation, synthesis pathway optimization, and computational model verification.
What You Get
Comprehensive deliverables that transform validated research into actionable insights and strategic decisions. Every deliverable is structured, referenced, and designed for immediate use.
Executive Summary
Decision-ready brief with confidence signal, key findings, and actionable recommendations. Perfect for executive presentations and strategic decision-making. Includes high-level overview, key insights, and recommended next steps.
Evidence-Backed Findings
References, citations, and supporting materials for every claim. Comprehensive bibliographies and source documentation ensure traceability. All findings are cross-referenced with existing literature and validated sources.
Risk Register
Identified gaps, assumptions, and mitigations clearly documented. Risk matrix helps prioritize concerns and plan mitigation strategies. Includes likelihood assessment, impact analysis, and recommended mitigation approaches.
Experiment Plan
Next-step experiments and evaluation criteria for continued research. Clear experimental designs and success metrics guide future work. Includes hypothesis formulation, experimental design, and evaluation criteria.
Case Studies
Real results from organizations using RND Pool to validate AI research and accelerate innovation. These case studies demonstrate measurable outcomes and ROI.
Biotech Startup Accelerates Drug Discovery
Challenge: AI-generated drug target hypotheses needed validation before committing significant resources to clinical trials.
Solution: RND Pool matched startup with 3 expert pharmacologists who validated targets and identified 2 safety concerns.
Result: Avoided costly failed trial expenses, accelerated development by 6 months. Validated targets proceeded to trials with 40% higher confidence.
Fintech Firm Validates Trading Algorithm
Challenge: Quantitative trading model needed regulatory validation before deployment with significant capital.
Solution: Expert quantitative analysts validated model assumptions, reviewed backtesting methodology, and ensured regulatory compliance.
Result: Achieved regulatory approval in 8 days vs. 6 weeks traditional route. Model deployed successfully with validated risk parameters.
Tech Company Validates Cloud Architecture
Challenge: AI-generated cloud architecture design needed validation before significant infrastructure investment.
Solution: Cloud architecture experts validated scalability assumptions, identified cost optimization opportunities, and reviewed security design.
Result: Reduced infrastructure costs by 30%, identified security gaps before deployment. Architecture validated in 9 days vs. 8 weeks traditional.
Energy Company Validates Sustainability Model
Challenge: Carbon footprint calculation model needed expert validation for regulatory reporting with significant compliance implications.
Solution: Environmental science experts validated calculation methodology, reviewed data sources, and ensured regulatory compliance.
Result: Achieved regulatory approval, avoided reporting penalties. Model now used for all sustainability reporting.
Comparison: RND Pool vs Traditional Consulting
See how RND Pool compares to traditional consulting firms across key dimensions that matter most to research teams.
| Feature | RND Pool | Traditional Consulting |
|---|---|---|
| Speed | 7-10 days typical | 4-8 weeks |
| Cost | Competitive bidding, transparent proposals | Hourly rates, unclear scope |
| Expert Access | AI-matched, vetted experts across 12+ domains | Limited to firm's network (10-20 consultants) |
| Escrow Protection | Built-in milestone escrow | Upfront payment required |
| Transparency | Clear milestones and acceptance criteria | Opaque scope and deliverables |
| Scalability | Platform handles matching, payments, delivery | Manual project management |
| Revisions | Iteration included within milestones | Change orders add time and cost |
| Transparency | Clear milestones, acceptance criteria, competitive bidding | Unclear scope, hourly billing surprises |
Domain Coverage
Our expert network spans research domains across industries, ensuring you find the right validation expertise for your specific needs. Experts are verified and matched based on domain expertise.
Frequently Asked Questions
Common questions about RND Pool, our validation process, expert network, and platform features. Find answers to help you understand how we can accelerate your research validation.
How fast can I get validation results?
Typical engagements deliver validated results in 7-10 business days, depending on scope and expert availability. This is 7x faster than traditional consulting firms which typically take 4-8 weeks. Rush options available for urgent projects.
Who are the experts and how are they verified?
Our experts are verified domain specialists with publication records or industry credentials. We verify identity, credentials, publication history, and communication quality. All experts undergo rigorous vetting before joining the platform.
What information do I need to provide?
You'll need to provide problem statement, research objectives, research artifacts, constraints, and timeline. Our platform guides you through scope definition to ensure all necessary context is captured. We work with you to refine scope if needed.
How does pricing work?
Pricing is determined through competitive bidding. Experts submit proposals with their own pricing based on scope and complexity. You review multiple proposals and select based on expertise match, proposed pricing, timeline, and communication quality. All pricing is transparent upfront with no hidden fees.
How does escrow protection work?
Clients fund milestones via escrow before work begins. Payments are released only when deliverables are accepted. This protects both parties: clients pay only for accepted work, experts are guaranteed payment for completed milestones.
What if no suitable experts are available?
We expand the search across adjacent domains, invite additional vetted experts, or suggest small scope adjustments. There’s no obligation to proceed until you select a proposal.
What industries do you support?
We support research validation across all major industries including biotech, fintech, technology, AI/ML, industrial research, energy, genomics, cybersecurity, materials science, healthcare, aerospace, and automotive. Our expert network spans 12+ domains.
How does expert matching work?
Our AI matchmaker analyzes research requirements and identifies relevant experts from our vetted pool. Matching considers domain expertise, publication history, industry experience, and availability. Experts receive invitations to review and bid on projects.
What if I need revisions?
Clients can request revisions during the review process. Clear acceptance criteria are defined upfront. Iteration is included in the milestone structure, ensuring deliverables meet your requirements before acceptance.
Is my research confidential?
Yes. All research is protected by NDAs as standard. Experts are bound by confidentiality agreements. We follow strict data handling guidelines and audit-friendly practices. Your research remains confidential throughout the validation process.
What are typical project costs?
Project costs vary by scope and are determined through competitive bidding. Experts submit proposals with their own pricing, giving you multiple options to choose from. The bidding system ensures competitive pricing and allows you to select the best value for your specific needs. Compare proposals side-by-side to find the right fit.
What deliverables will I receive?
You receive a structured package: executive summary, evidence-backed findings with references, a risk register, and an experiment plan with clear acceptance criteria.
How the Bidding System Works
Our competitive bidding system ensures flexible pricing and accessibility for clients at all levels. Experts set their own prices, giving you multiple options to choose from.
You Submit Research Scope
Submit your research objectives, artifacts, and requirements. No budget commitment required — simply describe what you need validated.
Experts Receive Invitations
AI matchmaker sends invitations to relevant experts. Experts review your scope and decide if they want to bid based on their expertise and availability.
Experts Submit Competitive Bids
Each expert submits a proposal with their own pricing, timeline, and approach. Experts set prices based on scope complexity and their expertise level. You receive multiple bids to compare.
You Compare & Select
Review all proposals side-by-side. Compare expertise, pricing, timeline, and approach. Select the expert that best fits your needs and budget. The bidding system ensures competitive pricing and gives you control.
Benefits for Clients
- Multiple proposals to choose from
- Competitive pricing through bidding
- Accessible to all budget levels
- Transparent comparison of options
- Choose based on expertise and value
Benefits for Experts
- Set your own pricing
- Only bid on projects that fit
- Price based on your expertise level
- Control over which projects you take
- Competitive and fair marketplace
Start with a free matching assessment
Share your scope and timeline to receive matched experts and proposals. No commitment required — see how quickly we can match you with the right validation expertise.
Ready to validate your research?
Get matched with vetted experts today