We build products that give enterprises organizational intelligence: the ability to understand how work actually flows, who holds critical knowledge, and how to make better people decisions with AI.
Our mission
Organizations generate massive amounts of behavioral data every day through collaboration patterns, communication flows, and knowledge exchanges, yet most of it goes unused. Org charts show reporting lines, but they don't show how work actually gets done.
Lead Tech exists to close that gap. We combine organizational network analysis, behavioral science, and AI to help enterprises see the invisible dynamics that drive performance: who people rely on, where knowledge concentrates, how decisions actually route, and where bottlenecks form before they become crises.
Our goal is to make organizational intelligence as accessible and actionable as business intelligence, and to establish best practices for knowledge management that put people, not just documents, at the center.
Our products
Three products, one mission
Each product addresses a different layer of organizational intelligence, from employee engagement to team visibility to AI infrastructure.
L
Engagement & Analytics
LEAD.bot
A Slack and Teams native platform that maps how organizations actually work. LEAD.bot uses organizational network analysis to uncover collaboration patterns, identify key influencers, and strengthen knowledge sharing through virtual coffees, mentorship matching, pulse surveys, onboarding programs, and manager coaching. Trusted by Fortune 500 companies and global consultancies.
An automated time tracking tool for remote and hybrid teams. Sunrize quietly tracks work hours, online status, and calendar data in Slack so distributed teams can collaborate more effectively. Features include team activity heatmaps, global time zone visibility, meeting pattern analysis, and collaboration timing recommendations. No manual input, no check in pings. Trusted by 1,000+ companies with a 4.8 star rating.
The behavioral context layer for enterprise AI. BehaviorGraph turns collaboration patterns, relevance signals, and workflow data into a queryable graph that AI agents, enterprise search, and governance platforms can use at runtime so AI knows who to route to, who's available, and how work actually flows.
Traditional KM focuses on documents. We focus on the people who create, hold, and share knowledge because that's where organizational intelligence actually lives.
01
People over documents
The most critical knowledge in any organization isn't in a wiki. It's in the heads of the people who do the work. We map who knows what and how knowledge flows between teams.
02
Behavior over structure
Org charts show hierarchy. We reveal the informal networks, collaboration patterns, and decision pathways that actually drive how work gets done.
03
Continuous over static
Organizations change constantly. Our products provide a living, continuously updated picture of organizational dynamics, not a quarterly snapshot.
04
Privacy by design
We operate on metadata and behavioral patterns, never on message content or emails. Organizational intelligence shouldn't come at the cost of employee trust.
Why we exist
Enterprise search and AI agents work. Until they hit the org.
Search platforms find the right document. Agent frameworks execute the right workflow. But when results need to reach the right person, or when a decision needs to route through the right approval chain, these systems hit a wall. They don't have organizational context. That's the layer we add.
More accurate search results
Enterprise search returns documents. BehaviorGraph enriches those results with who actually owns the topic, who is available to help, and who the organization relies on for that domain. The same query returns more actionable answers because it includes people context alongside content.
Smarter agent routing
AI agents make decisions about who to involve and where to send work. Without organizational context, they route by title or org chart. BehaviorGraph gives agents the behavioral signals they need to route to the right person based on real expertise, availability, and capacity.
Multi agent coordination
When multiple agents operate across departments, they need a shared understanding of the organization: who owns which decisions, where handoffs should go, and when to loop in a human. BehaviorGraph provides that shared context layer so agents coordinate with organizational awareness, not just task logic.
Org wide edge cases, handled
The person on the org chart is on leave. The subject matter expert changed teams last month. Two departments claim ownership of the same process. These are the edge cases that break AI at org scale. BehaviorGraph resolves them with live behavioral data, so the system stays accurate even when the org chart doesn't.
Auditable and explainable
Every routing recommendation includes the reasoning behind it: who was selected, why, what alternatives exist, and what organizational signals informed the decision. This gives governance, compliance, and security teams the traceability they need without adding friction to the workflow.
Metadata only by architecture
BehaviorGraph operates on collaboration patterns, calendar signals, presence data, and survey responses. It never reads message content, email bodies, or document text. This is an architectural constraint, not a configuration option, which simplifies security review and data governance approval.
How we fit in: BehaviorGraph is an additive context layer. It plugs into your existing enterprise search, agent orchestration, and governance stack through REST API, MCP, or RAG pipeline enrichment. It does not replace any platform, make autonomous personnel decisions, or create new access permissions. It makes the platforms you already use more accurate by adding the organizational context they are missing.
Leadership
Built by operators, not observers
Our founders bring over a decade of experience building products at the intersection of behavioral science, AI, and enterprise software.
Yumi
CEO & Co-founder
Columbia University
10+ years building products across startups and enterprise. Deep expertise in behavioral science, organizational network analysis, and people analytics. Drives the company's vision for making organizational intelligence accessible to every enterprise.
Jay
CTO & Co-founder
McGill University
10+ years in engineering leadership across startups and product teams. Leads the technical architecture behind LEAD.bot, Sunrize, and BehaviorGraph, specializing in scalable data systems, graph infrastructure, and applied AI for enterprise knowledge platforms.
BehaviorGraph is developed by Tenrise LLC and brought to market by Lead Tech, Inc. Both companies share the same founding team and are headquartered in New York.