Sixtyfour

What is Sixtyfour?

Sixtyfour is an enterprise data platform that deploys AI agents to build structured, decision-ready intelligence profiles on people and companies. It unifies social, contact, and proprietary data by crawling 100+ sources in real time, rather than pulling from static databases. The platform targets sales, RevOps, and recruiting teams at hypergrowth technology companies who need richer, more current data than traditional enrichment vendors can provide. Customers include Mercor, Traba, Hockeystack, Conduit, and Whatnot. Sixtyfour is Y Combinator-backed and SOC 2 compliant.

Key Features

• Enrichment: Deep research on companies and people, including emails, social accounts, revenue estimates, tech stack, team size, and decision-maker identification, with confidence scores and source citations attached to each field.
• Real-Time Web Research: AI agents crawl 100+ sources (LinkedIn, GitHub, Google Scholar, news, social media, state licensing databases) to build profiles, typically within 5 to 20 minutes per enrichment, with support for concurrent processing of thousands of requests.
• Custom AI Agents: Build agents tailored to specific workflows such as lead discovery, influencer mapping, or expert sourcing, including non-standard criteria like arXiv citation counts for researchers.
• Automated Workflows: Multi-step enrichment sequences that run on a recurring basis, covering tasks like evaluating social profiles, mapping platform activity, and pushing qualified accounts to a CRM.
• Data Extraction: Pulls structured data from online sources and exports to CSV, JSON, or Google Sheets, with support for up to 100 custom fields per record.
• API Access: Full API access with endpoints for company enrichment, people enrichment, email finding, and workflow automation, designed for integration into existing data pipelines.
• CRM Integrations: Native connections with Salesforce, HubSpot, and Gem (recruiting) for pushing enriched data directly into existing systems.

Use Cases

• Sales and Prospecting Teams: Automate lead and account research by enriching partial records into full profiles, identifying decision-makers, and surfacing hiring or funding signals to prioritize outreach.
• Recruiters and Talent Teams: Find niche professionals (such as AI training specialists or computer vision researchers identified via arXiv citations) who are not present in standard talent databases, then enrich those records with contact information for outreach.
• Revenue Operations: Map a total addressable market by combining company profiling, "find similar" matching, and automated list building, then sync outputs directly to CRM systems.
• Influencer and Partner Discovery: Identify influencers followed by a target audience, evaluate their social profiles across platforms, and map that presence to CRM records (as Whatnot does for seller-adjacent creators).
• Market and Competitive Research: Replace manual research workflows with recurring enrichment agents that monitor signals such as hiring patterns, funding announcements, and social activity across a defined account list.

Strengths and Weaknesses

Strengths:

• Crawls live web sources rather than relying on static vendor databases and is better suited for finding people and companies that established data providers miss.
• Supports highly specific, non-standard enrichment criteria (for example, identifying researchers by arXiv citation patterns), which is difficult to replicate with off-the-shelf tools.
• Outputs include confidence scores and source citations, giving users a way to verify data quality without leaving the platform.
• SOC 2 compliant, which reduces the security review burden for enterprise buyers.
• Integrates with common sales and recruiting systems (Salesforce, HubSpot, Gem) so enriched data can move directly into existing workflows.

Weaknesses:

• Each enrichment takes 5 to 20 minutes to complete, which limits use cases that require immediate, synchronous data lookups.
• Pricing details beyond the self-service tier are not publicly listed, requiring a sales conversation before enterprise costs are known.
• As with AI research agents generally, complex or ambiguous enrichment tasks may produce inconsistent results compared to simpler, well-defined queries.
• Scaling from pilot to production can introduce integration challenges if workflows rely on manual steps that were not designed for high-volume throughput.

Pricing

• Free: $0, available as an entry-level tier. Specific usage limits are not publicly detailed.
• Self-Service Plan: $250/month, billed monthly. Enrichment credits are usage-based at $0.10 per credit. Overages are billed on top of the monthly base, so high-volume teams should estimate credit needs in advance.
• Enterprise: Custom pricing, available by contacting sales directly. Specific inclusions are not publicly listed.

FAQ

How do you spell Sixtyfour?

Sixtyfour is spelled as one word with no hyphen or space. It is the name of an enterprise data platform backed by Y Combinator.

What is Sixtyfour?

Sixtyfour is an enterprise data platform that deploys AI agents to build structured intelligence profiles on people and companies. It crawls 100+ sources in real time to unify social, contact, and proprietary data into decision-ready records.

What does Sixtyfour actually do?

Sixtyfour enriches partial records into full profiles by pulling data from sources like LinkedIn, GitHub, Google Scholar, news, and state licensing databases. Each enriched field includes a confidence score and source citation.

Who uses Sixtyfour?

Sixtyfour targets sales, RevOps, and recruiting teams at hypergrowth technology companies. Current customers include Mercor, Traba, Hockeystack, Conduit, and Whatnot.

How long does enrichment take?

Sixtyfour typically completes an enrichment within 5 to 20 minutes per record. The platform supports concurrent processing of thousands of requests.

What data sources does Sixtyfour crawl?

Sixtyfour crawls 100+ sources including LinkedIn, GitHub, Google Scholar, news outlets, social media, and state licensing databases. It crawls these in real time rather than pulling from static databases.

What kind of data does Sixtyfour return?

Enrichment outputs can include emails, social accounts, revenue estimates, tech stack, team size, and decision-maker identification. Records support up to 100 custom fields and can be exported to CSV, JSON, or Google Sheets.

Does Sixtyfour have an API?

Yes, Sixtyfour provides full API access with endpoints for company enrichment, people enrichment, email finding, and workflow automation. It is designed to integrate into existing data pipelines.

What CRM systems does Sixtyfour integrate with?

Sixtyfour has native integrations with Salesforce, HubSpot, and Gem for recruiting. Enriched data can be pushed directly into these systems.

Can Sixtyfour be used for recruiting?

Yes, recruiting teams can use Sixtyfour to find niche professionals who are not present in standard talent databases. It supports non-standard discovery criteria, such as identifying researchers by arXiv citation counts.

Can you build custom agents on Sixtyfour?

Yes, Sixtyfour supports custom AI agents tailored to specific workflows such as lead discovery, influencer mapping, or expert sourcing. These agents can apply criteria beyond what standard enrichment vendors support.

Does Sixtyfour support automated workflows?

Yes, Sixtyfour supports multi-step enrichment sequences that run on a recurring basis. These workflows can cover tasks like evaluating social profiles, mapping platform activity, and pushing qualified accounts to a CRM.

Is Sixtyfour secure and compliant?

Sixtyfour is SOC 2 compliant. It is also backed by Y Combinator.