Empower your people, HR & talent teams with secure and scalable AI.

Human Intelligence is a People-Data Warehouse. Unify your enterprise people data across Workday, Lattice, Greenhouse & more with governance, policy management, audit logging, & rowlevel security built in.

Hiring pipeline diagnosticP0 People Analytics DashboardBuild Onboarding AgentPerformance rating audit
Build Onboarding AgentP0 People Analytics DashboardHiring pipeline diagnosticPerformance rating audit

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SECURE MCP

The secure way to integrate people data into AI.

People, HR, and talent data require governance that general-purpose AI environments weren’t designed to provide.

Human Intelligence’s MCP server bridges that gap — connecting your secured, governed people data layer to the AI tools your organization already uses, with database-level permissions that make unauthorized data architecturally invisible. HR and People teams can now build and deploy agents confidently and compliantly for the first time.

PLATFORM BREAKDOWN

Engineered for sensitive data, designed for everyday use.

People data carries the highest sensitivity in the company and the highest demand for insight. Most platforms are built for one or the other. Human Intelligence is built for both: enterprise-grade governance at the foundation, with the speed and accessibility HR teams need to answer questions in the tools they already work in.

Data sources and tools

Pre-built integrations to your systems — Workday, Lattice, Greenhouse, Culture Amp, and more. New sources connect without engineering lift so every analysis and AI query reads from the same source of truth.

Warehousing, Ingestion and Modeling

Human Intelligence stitches your connected systems into one coherent model of your organization. People, roles, teams, and histories sit in a single layer that can be analyzed directly. No exports, no joins, no analyst in the loop for every request.

Metrics and Definitions Management

Define the metrics that matter the way your business defines them. Edit the logic once, and every connected system uses the same governed calculation. No more dashboards that disagree on what "headcount" means.

Org-Aware row-level security

Our RBAC engine rewrites every database query to match the requesting user's role and what they're permitted to see. A manager's question and a CHRO's question return different answers from the same data — automatically, with no manual filtering required.

Policy Management

Set the rules for who can ask what, and Human Intelligence enforces them
at query time. Define policies once by role, team, or data type, and every connected AI assistant respects them automatically.

PII Audit Logging & Compliance

Every query, answer, and piece of data accessed is logged with the user, policy, and result. Your security team gets a complete, exportable record for SOC 2, GDPR, and internal review.

WHAT'S POSSIBLE WITH HUMAN INTELLIGENCE

Empower your people, HR and exec teams to leverage AI with people data

Human Intelligence unlocks the analyses, agents, and workflows your people, HR and exec functions have wanted to build but couldn't safely deploy. The result is faster answers, deeper insights, and HR at the center of how the business makes decisions about its people.

Artifacts

Q1 2026 attrition risk dashboard
Engineering compensation band analysis
Offer acceptance rate tracker
Headcount vs. plan — Q1 2026
Start from scratch

Performance vs. compensation by department

Analyze the relationship between performance and compensation - deep dive into any employees who are currently exceeding expectations but are underpaid.

Used Human Intelligence Integration

Of your 3,014 employees, 184 are rated "Exceeds Expectations" and sitting below 85% of their compensation band. The highest concentration is in Engineering (76 employees) and Product (41 employees), primarily at the Senior and Staff levels.

Sources

Integrate your people data with your collaboration tools

People Analytics Dashboards in Notion

Embed live attrition, retention, internal mobility charts and more — directly inside Notion. Build governed people analytics dashboards your team can access and collaborate on — with role-based permissions controlling exactly who sees what.

Real-Time Signals in Slack

Create agents that monitor your workforce and notify you when key changes happen — compensation drift, attrition risk in critical teams, or shifts in performance trends. Delivered directly in Slack.

Who It's Built For

Purpose-built for the leaders responsible for talent, performance, and growth.

Chief People Officers

Prepare board-level workforce narratives, scenario-plan headcount, and get ahead of retention risks before they surface in exit data.

CEO

Model how workforce decisions connect to company outcomes. Run scenarios across headcount, organizational structure, and investment to understand how different strategic bets shape the company over time.

Heads of Data

Get a fit-for-purpose, AI-ready warehouse for people data — built for governance and row-level security Snowflake, Databricks, and BigQuery weren't designed to provide. Pipe governed data back to your central warehouse for cross-domain analysis.

Heads of People Analytics

Uncover systemic patterns in performance, compensation, and engagement that point to structural issues in how the organization manages its people.

Heads of Talent Enablement

Understand where recruiting investment is producing results and where it isn't across sources, pipelines, and hiring managers.

Heads of Recruiting Systems

Audit how data flows across your recruiting stack from ATS to onboarding and spot where fragmented systems are creating blind spots or duplicated effort.

Considering human intelligence

FAQ

  • What is Human Intelligence?

    The governed data platform for people data. We unify Workday, Lattice, Greenhouse, Culture Amp, and the rest of your people systems into a single AI-ready model, with row-level security, policy enforcement, and audit logging built in. Your HR, exec, and AI teams can safely query, build agents on, and analyze the most sensitive data in the company.

  • What problem does Human Intelligence solve?

    People data is the most sensitive data in the enterprise — and the data AI is most often blocked from touching. Human Intelligence unifies it into one governed model, with the security, policy, and audit infrastructure that lets enterprises deploy AI on it safely.

  • Why choose Human Intelligence over Snowflake or Databricks?

    Snowflake and Databricks give you primitives. Human Intelligence gives you the finished product. Building an equivalent people intelligence layer on top of a general-purpose warehouse requires org hierarchy modeling, row access policies, role mapping, ingestion pipelines, a semantic layer, and thousands of people-specific metric definitions — roughly an 8-person team, $3.6M annually, and an 18 to 24-month timeline. Human Intelligence delivers the same outcome in 30 days, and pipes governed data back to your warehouse if you want it there.

  • I'm a Chief People Officer — why would I buy Human Intelligence?

    To get your entire people organization — talent, performance, compensation, HRBPs — operating off the same data, with the same metrics, and the same governance. With Human Intelligence, your teams can run analyses, deploy agents, and use AI on people data in their day-to-day workflows — compliantly, and without waiting on the data team. The result is HR at the center of how the business makes decisions about its people, instead of waiting in line behind every other analytics request.

  • I'm a Head of Data — why would I buy Human Intelligence?

    General-purpose warehouses like Snowflake and Databricks weren't built for people data. Human Intelligence ships out of the box what your team would otherwise have to build and maintain for years — org-aware row-level security, policy management, metric and methodology governance, identity resolution across people and talent systems, and AI-ready modeling. Human Intelligence solves the hardest governance problem in the enterprise without pulling your team off the rest of the roadmap, and pipes governed data back to your warehouse for cross-domain analysis.

  • How is Human Intelligence priced?

    Two components: a platform fee scaled to the scope of integrations you connect, and transaction fees based on MCP and API call volume. There's no per-seat charge, so adoption across HR, exec, and analytics teams doesn't penalize you.

  • How long does implementation take?

    Typically 2 to 4 weeks, depending on the size and scope of your deployment. Our team handles the engineering — your data team validates outputs, not builds infrastructure. Every engagement includes a 90-day proof of concept built into the contract.

  • What systems does Human Intelligence integrate with?

    Pre-built integrations for the major people systems — Workday, Lattice, Greenhouse, Culture Amp, BambooHR, Paycom, Carta, Envoy, and over 40 more. New sources connect without engineering lift from your team. If you have a system we don't support yet, we'll build the integration as part of your engagement.

  • How does Human Intelligence protect sensitive employee data?

    Security is built into the foundation. Every query is rewritten through an org-aware RBAC engine, policies are enforced at query time across every connected AI assistant, and every access is logged for SOC 2, GDPR, and internal review. We're SOC 2 Type II, ISO 27001, and GDPR compliant.w sources connect without engineering lift from your team.

DOWNLOAD OUR White Paper

The Architecture of Secure People Data Infrastructure for AI-Native Enterprises

Drawing on conversations with CHROs and People leaders from organizations managing workforces of 2,000 to 20,000, this white paper outlines the seven lessons separating organizations already seeing measurable AI impact from those still stuck in expensive experimentation. From unifying your people data infrastructure to setting bold automation goals, it is a practical blueprint for People leaders ready to move beyond pilots.

The infrastructure your people organization has been waiting for.

Live in 30 days.
No internal engineering resources required.