Product Introduction

1. Clado is an AI-powered global people search platform that provides access to over 200 million profiles for sales, hiring, and research purposes. It uses agentic search technology to deliver precise, context-aware results by analyzing and ranking profiles based on user-defined criteria. The platform integrates advanced AI agents to automate and optimize profile discovery, enrichment, and validation.
2. The core value of Clado lies in its ability to replace manual, time-intensive people searches with AI-driven precision, enabling users to identify and connect with highly relevant individuals at scale. It transforms unstructured data into actionable insights by combining large-scale dataset access with intelligent filtering, reducing noise and improving decision-making efficiency.

Main Features

1. Clado deploys 100,000+ AI agents per query to read, analyze, and rank profiles using semantic understanding and contextual matching. These agents simulate a distributed research team, cross-referencing data points across professional networks, public records, and proprietary databases to ensure result relevance. The system updates its search algorithms in real time based on user feedback and emerging data patterns.
2. The platform offers state-of-the-art email and phone number enrichment, achieving 17.6% higher accuracy than Clay and 3x better performance than Apollo in benchmark tests. Its enrichment engine verifies contact information through multi-source validation, including LinkedIn URL analysis, domain pattern matching, and historical data correlation. Users receive verified contact details with confidence scores indicating data freshness and reliability.
3. Clado specializes in alumni discovery and deep people research through customizable filters for educational institutions, career trajectories, and skill sets. It supports Boolean search logic combined with machine learning recommendations, enabling granular targeting for niche recruitment or sales outreach campaigns. The platform automatically generates spreadsheets with enriched data exports compatible with CRM integrations.

Problems Solved

1. Clado eliminates the inefficiency of manual prospecting and unreliable keyword-based searches in platforms like LinkedIn or traditional databases. It solves the problem of low signal-to-noise ratios in people discovery by applying AI-driven contextual analysis rather than surface-level keyword matching. Users avoid sifting through irrelevant profiles or outdated contact information.
2. The product serves sales teams requiring high-intent leads, recruiters sourcing passive candidates, and researchers analyzing talent markets. Enterprise users benefit from its scalability for large-team campaigns, while startups leverage its cost-effective alternative to hiring dedicated research staff. Compliance teams use it to verify professional backgrounds during due diligence processes.
3. Typical use cases include identifying SaaS buyers with specific tech stack experience, locating alumni from target universities for fundraising, and rebuilding accurate contact lists after CRM data decay. Sales operations teams automate lead list generation for ABM campaigns, while recruiters filter candidates by niche skills like "LLM optimization" or "biomaterials engineering."

Unique Advantages

1. Unlike Apollo or Clay, Clado uses swarm-based AI agents rather than static filters, enabling dynamic adaptation to ambiguous search parameters like "engineers who transitioned to product management." This approach outperforms rule-based systems in handling complex, multi-variable queries common in executive hiring and enterprise sales.
2. The platform innovates with real-time profile enrichment that combines LinkedIn scraping with dark web data monitoring to update contact details. Its proprietary algorithms detect job changes 37% faster than competitors by tracking social media activity patterns and news mentions. Users receive alerts when target profiles meet newly defined criteria.
3. Competitive advantages include benchmark-proven 92.3% email accuracy across 100,000 test profiles and zero infrastructure setup requirements. Clado’s search latency remains under 800ms even for queries spanning 50+ filters, achieved through distributed GPU-accelerated inference nodes. The platform guarantees GDPR and CCPA compliance through automated PII redaction features.

Frequently Asked Questions (FAQ)

1. How does Clado ensure the accuracy of enriched email addresses? Clado cross-validates email addresses using domain-specific syntax rules, historical send/receive metrics from email service providers, and LinkedIn activity correlations. The system flags potentially outdated emails by monitoring profile update frequencies and corporate DNS record changes.
2. What data sources power Clado’s people search? The platform aggregates data from verified professional networks, public conference attendee lists, patent filings, and academic publications. It supplements these with proprietary data partnerships covering 180+ countries, refreshed through daily web crawls targeting industry-specific forums and registries.
3. Can Clado help identify candidates for highly specialized roles? Yes, the AI agents parse technical publications, GitHub repositories, and certification databases to surface candidates with niche expertise. Users can search for combinations like "TensorFlow contributors + fintech experience" or "ISO 13485-certified QA managers in medical devices."
4. How does Clado compare to LinkedIn Sales Navigator? Unlike LinkedIn’s keyword-based tool, Clado performs semantic analysis of profile narratives and career transitions. It provides 18 additional data dimensions including technology adoption timelines and open-source contribution histories, with export functionality LinkedIn restricts.
5. Is Clado compliant with data privacy regulations? The platform automatically anonymizes searches in regulated industries and provides audit trails for data access. All profile data undergoes strict processing under GDPR Article 6(1)(f) guidelines, with optional features like automatic right-to-be-forgotten request handling for enterprise plans.