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Accelerate an AI Recruiting Startup Product Launch with DataVertex Candidate Data API

  • Writer: Claire Liao
    Claire Liao
  • Jan 7, 2025
  • 3 min read

Case study: DataVertex aids AI Recruiting startup with contact data. Images show team meeting, woman on phone. Text highlights strategies.

Overview


An AI-driven talent sourcing startup, founded by a seasoned HR Tech entrepreneur, built a platform designed to help recruiters and founders identify, engage, and hire top talent faster.


With a database of over 200 million U.S. candidate profiles, the company had strong sourcing capabilities—but needed high-performance contact data to unlock outbound engagement and fully power its product experience.


As an early-stage company, they also needed a solution that balanced performance, flexibility, and affordability while scaling alongside their growth.


Highlights


  • All-in-one email + phone enrichment through a single API integration

  • Outperformed multiple data providers combined with built-in waterfall enrichment

  • Higher contact coverage and verification rates, improving outreach performance

  • Startup-friendly POC packages enabled low-risk testing and fast adoption

  • Flexible, scalable pricing supporting growth from early-stage to production

  • Launched new contact features in weeks, accelerating time-to-market

  • Reduced time-to-hire to as little as 2 weeks through improved candidate engagement



Challenge


Despite having a robust candidate database, the platform faced a critical limitation:

  • Lack of verified personal emails and phone numbers for outreach

  • Inability to consistently engage candidates at scale

  • Need to stay within a lean startup budget


The company initially tested multiple data providers but saw disappointing results due to:

  • Limited search filters and targeting capabilities

  • Low contact information coverage rates

  • Poor email verification and deliverability performance

Additionally, managing multiple vendors created complexity and inefficiencies in their enrichment workflows.



People in a casual startup office setting discuss around a table with laptops and plants. Bright, relaxed atmosphere, focused and engaged.

Solution - DataVertex Candidate Data API


The company replaced fragmented providers with the DataVertex Candidate API, using it as their single, all-in-one contact data solution for both email and phone enrichment.


All-in-One Email + Phone Enrichment

With DataVertex, the client was able to enrich both:

  • Personal email addresses

  • Phone numbers

through a unified API, eliminating the need to manage separate vendors.


Built-in Waterfall Enrichment (Outperforming Multiple Vendors)

Unlike traditional setups that require multiple providers, DataVertex’s built-in waterfall enrichment system automatically sources the best available data across its network.

  • No need to integrate multiple APIs

  • No manual vendor prioritization

  • Higher overall match and accuracy rates


As a result, DataVertex alone outperformed the combined results of the client’s previous providers, delivering better coverage and reliability through a single integration.


Flexible Packages That Scale

As the company grew, DataVertex provided flexible pricing tiers and credit packages that scaled with usage:

  • Start small with low-risk entry points

  • Expand into larger credit volumes as demand increased

  • Maintain strong unit economics at every stage

This allowed the startup to seamlessly transition from early testing to full production usage.


Seamless API Integration

The DataVertex Candidate API integrated directly into the platform’s workflows, enabling:

  • Real-time contact enrichment

  • Native embedding into sourcing and outreach features

  • Fast product iteration without infrastructure overhead



Office setting with people working at desks with computers and laptops. A man leans to assist a woman for the recruiting software product launch.


Results


Faster Product Launch

The company successfully launched Email Discovery and Phone Lookup features within weeks, significantly enhancing their platform’s capabilities.


Improved Candidate Engagement

With high-quality, verified contact data, recruiters could:

  • Reach more candidates

  • Reduce bounce rates

  • Increase response and engagement rates


Reduced Time-to-Hire

The platform enabled recruiters to move from sourcing to hiring in as little as two weeks, dramatically improving hiring efficiency.


Operational Simplicity

By consolidating vendors into one API:

  • Engineering complexity decreased

  • Data workflows became more efficient

  • Vendor management overhead was eliminated


Cost-Efficient Scaling

The client maintained a lean budget early on while scaling efficiently as usage increased—without sacrificing data quality.



Conclusion


By adopting the DataVertex Candidate API, this AI recruiting startup transformed its ability to engage candidates at scale.

Instead of relying on multiple underperforming providers, the company leveraged a single, high-performance API that delivered:

  • Verified personal emails and phone numbers

  • Higher contact coverage and accuracy

  • Built-in waterfall enrichment that outperformed multiple vendors combined

  • Startup-friendly pricing with scalable growth paths

The result was a faster, more efficient recruiting platform that empowered users to connect with more candidates and make hires faster—without added complexity.


Man in suit smiling, with recruitment graphics. Text: "Get In Touch Today." Includes a QR code and DataVertex logo.

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