Lymia - Improved Candidate Modeling with 99% Success Rate
The Company
Lymia is a cutting-edge AI platform that helps recruiters at mid- to large-sized companies source and match talent within their existing candidate databases. Founded by Louis Allain, a startup veteran with over 10 years of experience, Lymia enables teams to resurface qualified profiles without relying on external job boards or sourcing platforms.
At the heart of Lymia’s value proposition is data quality — the AI can only make great recommendations if it has accurate, complete, and up-to-date candidate data.
The Challenge
To build high-performing models for its clients, Lymia needed to enrich each internal candidate profile with reliable career data — roles, companies, seniority, and job transitions.
Previously, they used Coresignal, a traditional data provider that offered:
- A 90% success rate, primarily on LinkedIn URLs
- Data that was up to 3 months old
- A success-based pricing model that was still costly
- No enrichment by email alone — requiring pre-existing LinkedIn URLs
This approach was limiting, especially as Lymia scaled across multiple clients with millions of internal candidate records.
“Coresignal’s data was decent but outdated, and it required LinkedIn URLs. We needed something fresher and more flexible.”
– Louis Allain, CEO, Lymia
The Solution
Lymia switched to Reverse Contact to solve three core problems:
- Email-based enrichment
Reverse Contact allowed Lymia to enrich directly from an email address, removing the need for a LinkedIn URL as input. - Point-in-time accuracy
The enrichment process fetches live, real-time profile data, ensuring Lymia models are always trained on the most current information. - Superior match rate
With success rates close to 99%, Reverse Contact dramatically improved the coverage and quality of Lymia’s enriched dataset.
Implementation Overview
- Internal candidate records (with email addresses) pulled from client databases
- Reverse Contact used to retrieve up-to-date job titles, companies, and LinkedIn URLs
- Enriched data fed into Lymia’s AI recommendation engine
- Clients receive more accurate matches when sourcing candidates through the Lymia platform
The Results
- 99%+ enrichment success rate
Nearly every email submitted returns a valid and accurate career profile. - Significantly fresher data
Profiles reflect real-time career changes, not snapshots from months prior. - Improved model performance
Better inputs led to smarter, more relevant candidate recommendations. - Higher client satisfaction
Recruiters using Lymia are now able to rediscover top talent faster and with more confidence.
“Reverse Contact gives us better data, and that means our models are more accurate. As a result, our users get better recommendations when sourcing talent.”
– Louis Allain, CEO, Lymia
Conclusion
By switching to Reverse Contact, Lymia upgraded its data infrastructure, boosting AI performance and client value — all while simplifying its enrichment pipeline. Real-time accuracy, high success rates, and email-first enrichment make Reverse Contact a foundational piece of their tech stack.
For any AI company relying on career data, this is how you stay ahead.
Turn Emails into Identity Data
