Companies

Sixtyfour

sixtyfour.ai

Sixtyfour deploys AI research agents that unify people and company intelligence for enterprise decision-making.

HQSan Francisco, California, United States
Employees1-50
3 active roles
Jobs checked 3d ago
Specialization
Not classified
Business
Data Provisionand 2 more business values
  • Agent Tooling
  • Software Applications
Market
Cross Industry
Ecosystem
Agents
Customers
Enterprisesand 1 more customers values
  • Developers
More details
Organization type
Commercial Company
Ecosystem
Agents
Business
Data Provision, Agent Tooling, Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises, Developers
Delivery models
API, Hosted Software
Revenue models
Usage Based
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
Not classified

About

Sixtyfour builds AI research agents and intelligence infrastructure that unify social, contact, and proprietary data into decision-ready profiles of people and companies. It sells to enterprise teams across sales, recruiting, marketing, trust and safety, KYB, threat intelligence, and due diligence. Its differentiation is recursive research across open-web, dark-web, social, court, and regulatory sources, with signals cross-referenced and individually cited.

Market

Sixtyfour competes in AI-powered people and company intelligence, data enrichment, sales intelligence, and automated research infrastructure. It is positioned less as a static contact database and more as an agentic intelligence layer that accepts identifiers, searches public and proprietary sources, resolves entities, and produces cited profiles and workflows. Its differentiation is recursive multi-source research across the open web, dark web, social platforms, court records, and regulatory filings, delivered through an app, API, and MCP server.

Target Customers

Sixtyfour targets enterprise customers and operational teams that need intelligence on people and companies, especially sales, recruiting, marketing, trust and safety, compliance/KYB, AML, and due-diligence functions. Likely buyers include sales and RevOps leaders, recruiting teams, security/compliance teams, and data or research-platform owners.

At a Glance

Problem

Sixtyfour addresses the high-cost, slow, and difficult-to-scale work of investigating people and companies. Trust-and-safety, fraud, AML/KYB, threat-intelligence, due-diligence, recruiting, and go-to-market teams often assign analysts to piece together fragmented information across the web, databases, official records, and unstructured documents. Research can take days or weeks, still leave decision-makers uncertain, and allow bad actors or hidden risks to slip through. The killer use case is turning a weak identifier—such as a name, email, phone number, username, or wallet address—into a reliable picture of the underlying person or entity, including relationships, aliases, risk signals, and relevant professional or commercial context.

Product / Service

Sixtyfour is an enterprise data and intelligence platform built around autonomous AI research agents. The agents browse and cross-reference the open and dark web, official records, proprietary databases, and unstructured sources, then resolve identities, map entity relationships, and produce structured, source-backed profiles with cited findings and detected flags. The result is intended to replace or augment manual investigative research while improving coverage, speed, and confidence in decisions.

The product is delivered both as a web application for on-demand deep research and as infrastructure through an API and MCP server that can connect to Claude, Codex, Cursor, or a customer’s own workflow and data pipeline. Its use cases span identity resolution, threat-actor intelligence, financial and counterparty diligence, sales and account intelligence, and specialized talent research. For GTM teams, it can uncover hidden decision-makers and niche accounts; for risk teams, it can connect online activity to real-world identities and surface AML, fraud, or security signals.

Market

Sixtyfour competes in the emerging people- and entity-intelligence market at the intersection of AI research agents, enterprise data enrichment, sales intelligence, digital identity resolution, and risk intelligence. Its earlier positioning emphasized a “Bloomberg Terminal for sales,” while its current positioning is broader enterprise intelligence infrastructure. The company presents Exa, Parallel, and Grok as comparison points for deep people research, while its broader competitive set includes traditional sales-intelligence and data-enrichment platforms and specialist providers serving KYB, AML, fraud, cybersecurity, and recruiting workflows.

The company appears to have early commercial traction rather than being purely pre-revenue. Y Combinator lists Sixtyfour as an active Spring 2025 B2B enterprise-software and AI-infrastructure company, and the company has publicly named customers or users including Cloaked, TRM Labs, Airwallex, Whatnot, Surge, Turing, Datacurve, Mercor, Traba, Hockeystack, and Conduit. PitchBook reports $500,000 raised from Y Combinator and 468 Capital and labels the company as generating revenue, although no revenue figure is disclosed publicly.

Founders & Leadership

Christopher PriceFounder
COO
Saarth ShahFounder
Co-Founder & CEO

Funding History

2025-06
Seed (Crunchbase labels it Pre-Seed)$500K

Y Combinator

Recent News

2026-05-16product_launch
How We Use Agents for Reverse Username Search Investigations

Sixtyfour explains how its agents trace reused usernames across forums, Discord servers, and other sources to surface real names, locations, emails, and related shell companies. The article positions the capability for trust-and-safety, marketplace-fraud, and identity-resolution investigations.

Active Roles

3
San Francisco, CA, US/Marketing/21d ago
San Francisco, CA, US/Forward-Deployed Engineer/28d ago
San Francisco, CA, US/Marketing/60d ago

Business Model

Sixtyfour operates a credit-based SaaS and API model: customers receive monthly credit allowances through Free, Starter, and custom Enterprise plans, while API calls, workflow executions, MCP usage, enrichments, and other operations consume credits. Customers can also purchase one-time credit top-ups when they exhaust their balances.

Products

Enterprise people-and-company intelligence platformAI research agents for recursive web and entity researchPeople and company data enrichment, qualification, and email-finding workflowsCustom research APIsDeveloper API and MCP server integrations

Customers

CloakedTRM LabsAirwallexWhatnotSurgeTuringDatacurve

Tech Stack

PythonOpenAI/LLM APIsFastAPIElasticsearchRedisReactAWSDockerPandasPostgres

Competitors

Exa
Parallel
Grok
Clay
ZoomInfo
Apollo
People Data Labs