Get answers to common questions about ExpertCrowd’s platform, expert network, and delivery models.
ExpertCrowd provides expert-led AI data and evaluation support for projects that require professional experience, domain knowledge, and nuanced judgment. The AI training data platform supports a wide range of workflows, from structured annotation to complex expert review tasks that cannot be captured through simple instructions alone.
Our vetted domain experts help label, annotate, and evaluate data and AI workflows to deliver high-quality, reliable results.
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Answer CheckAccess a vetted network of domain experts to evaluate and improve data quality.
Manage data labeling and quality assurance from a single platform.
Build AI workflows and agentic systems that streamline validation across the entire development lifecycle.
Create customizable workflows to facilitate RLHF, RL data generation, data labeling, and model evaluation.
Use Case: Redline Decisioning for Procurement
Evaluate negotiation redlines and classify Accept/Reject/Counter aligned to legal playbook.
NDA Clause Library Builder
Build a standardized clause library by extracting and normalizing clauses across NDA repositories.
Deposition Evidence Review
Score vendor contracts for commercial/security/legal risk for procurement or compliance.
Radiology Image Finding Verification
Earnings Call Sentiment Tagging
Tag earnings call transcripts for sentiment, risks, and themes.
Product Attribute Enrichment
Enrich product listings with attributes like size, color, material, category.
From frontier labs to fast-moving startups, teams trust ExpertCrowd to deliver high quality AI data through real-time tracking, multimodal canvases, and expert review cycles.
From data labeling to RLHF and model evaluation, access expert-powered AI services tailored to your goals.
Add expert oversight to validate outputs at critical stages of model development.
Support video, text, image, code, and more in one workspace for infinite flexibility.
Strengthen model behavior through structured human feedback loops.
Uncover safety risks, edge cases, and unexpected model behaviors.
Build gold-standard examples that support more effective model training.
Domain experts design our benchmarks to test models on agentic tasks, revealing where they still fall short in real-world use.
Explore how companies use ExpertCrowd's platform and expert network to solve complex AI data and evaluation challenges.
Meridian, an AI-powered financial modeling company backed by Andreessen Horowitz, partnered with ExpertCrowd to build a large-scale expert-driven pipeline for training and evaluating AI financial reasoning.
Vetto, a leading AI data company servicing OpenAI, partnered with ExpertCrowd to staff and coordinate a large-scale model evaluation and training program that would improve model reasoning, coding ability, and agentic performance.
Sterling Labs, a fintech startup backed by Ribbit, partnered with ExpertCrowd to hire 60+ vetted equity researchers and develop a scalable expert annotation platform that transformed unstructured financial disclosures into AI-ready knowledge for LLMs and financial research applications.
Meridian, an AI-powered financial modeling company backed by Andreessen Horowitz, partnered with ExpertCrowd to build a large-scale expert-driven pipeline for training and evaluating AI financial reasoning.
Vetto, a leading AI data company servicing OpenAI, partnered with ExpertCrowd to staff and coordinate a large-scale model evaluation and training program that would improve model reasoning, coding ability, and agentic performance.
Sterling Labs, a fintech startup backed by Ribbit, partnered with ExpertCrowd to hire 60+ vetted equity researchers and develop a scalable expert annotation platform that transformed unstructured financial disclosures into AI-ready knowledge for LLMs and financial research applications.
Every ExpertCrowd deployment is tailored to your organization. Work with our team to choose the right combination of talent, platform, and support.
We source and vet the experts your project requires.
Projects run on the ExpertCrowd platform.
Your team manages the project independently.
Launch expert-driven annotation in three simple steps.
Meet with our team to discuss your requirements and goals.
Choose the platform, talent, and delivery model that best fits your needs.
Go live with expert validation built into every stage of the workflow.
Gabriel Tavares de Souza
Principal AI Engineer
Verified Expert in EngineeringGabriel is a principal engineer and AI systems architect with 19+ years of experience delivering production-grade software across AI, cloud, and distributed systems.
Previously at
ExpertCrowd combines Toptal’s global talent network with a rigorous vetting process, giving teams access to specialized expertise at scale.
ExpertCrowd helped us operationalize benchmark development from environment design through task creation and evaluation. Their subject matter experts translated real-world professional workflows into rigorous benchmark environments, reference outputs, and evaluation frameworks for measuring model performance on complex knowledge work.
backed by
Jay Ram
CEO
Domain consistency is the bottleneck for reliable inference. ExpertCrowd assembled more than 60 equity researchers to create structured financial data and map latent domain logic for our AI-powered trading research platform.
backed by
Alek Safarov
CEO
ExpertCrowd has been an excellent partner, giving us the experts we needed to go beyond standard benchmarks and dig into where models were actually struggling to reason through complex tasks. Those insights fed directly into our post-training work, helping us strengthen how models handle complex reasoning.
servicing
Daniel Rodrigues
Data Talent Procurement
