YC Root AccessCentralize is the GPS for Enterprise Deals
CHAPTERS
- 0:05 – 0:48
Centralize’s core idea: “GPS” for navigating enterprise deals
Rachit explains Centralize as a relationship-driven “GPS” for enterprise sales: auto-generated org charts that reveal who you know, who you don’t, and how to build the missing connections. The focus is on giving teams turn-by-turn guidance through complex stakeholder landscapes that determine whether big deals are won or lost.
- •Centralize automatically generates org charts for enterprise accounts
- •Shows existing relationships, missing stakeholders, and paths to fill “white space”
- •Positions deal navigation as relationship mapping + guided next steps
- •Targets high-stakes, complex enterprise/strategic accounts
- 0:48 – 1:00
Proof of traction: who’s already using Centralize
The founders share a roster of fast-growing, high-profile customers already live on the product. The list signals adoption among modern, high-velocity teams (including AI-native companies) as well as established SaaS leaders.
- •Customers include Decagon, LangChain, Cognition, Intercom, Brex, Exa
- •Adoption across AI-native and broader SaaS companies
- •Indicates immediate demand for better enterprise deal navigation
- 1:00 – 1:28
The “trust graph”: turning messy comms into a living org chart
Diana frames Centralize’s key primitive: building the org chart of your customer’s customer. The founders describe the internal concept of a “trust graph,” where relationship context is continuously reconstructed from many sources.
- •Centralize models stakeholder networks as a “trust graph”
- •Goal: visualize relationships across an account for fast context
- •Org chart is dynamic and updates as interactions happen
- •Emphasis on mapping the buyer’s org, not just your internal contacts
- 1:28 – 1:58
Data inputs & AI pipeline: emails, calls, CRM, and relationship dynamics
Will explains how Centralize ingests unstructured and structured data (emails, calls, etc.) and parses it into a visual map. The system highlights gaps (e.g., missing VP-level relationships) and uses AI to suggest what to do next.
- •Ingests unstructured data like emails and call records
- •Transforms interactions into a visual account map
- •Quickly exposes missing stakeholder coverage (e.g., no VP contacts)
- •AI helps identify and prioritize next relationship-building steps
- 1:58 – 2:59
Entity resolution + people-first data model: capturing relationships over time
A key technical challenge is entity resolution—correctly identifying the same person across roles, companies, and time. Centralize’s underlying data model is built around people and evolving relationship states, capturing how interactions change dynamics over time.
- •Entity resolution: matching identities across histories and systems
- •Engineering-heavy foundation to make relationship mapping reliable
- •People-centric data model focused on “messy middle” human dynamics
- •Tracks how relationships evolve across multiple interactions
- 2:59 – 3:32
How teams use it in practice: a unified stakeholder map across tools
Diana summarizes how Centralize can pull from Gong calls, emails, CRMs, tickets, and even LinkedIn connections to build a traversal graph of stakeholders. This positions the product as a single, cross-system view of the account and all related relationships.
- •Unifies multiple systems (calls, email, CRM, tickets, social graphs)
- •Builds an actionable traversal graph of stakeholders
- •Creates a shared view any teammate can use to understand the account
- •Speeds onboarding and handoffs by centralizing relationship context
- 3:32 – 5:03
Real outcomes: institutional memory + warm paths into massive accounts
Rachit describes how enterprise strategy teams use Centralize to navigate huge accounts (e.g., Fortune 10) with thousands of stakeholders. The value comes from visualizing institutional memory—who anyone on the team spoke with in the past—and revealing hidden warm connections through extended networks (e.g., board links).
- •Used by enterprise/strategic teams to navigate extremely large accounts
- •Surfaces team-wide historical touchpoints (institutional memory)
- •Finds warm intros via extended networks (board links, prior roles, etc.)
- •Pre-maps relevant personas aligned to ICP without manual research
- 5:03 – 5:33
Champion enablement: sharing the map to multithread internally
Centralize isn’t only for internal deal planning; it can be shown to a customer-side champion to help them navigate their own organization. By making missing stakeholders and pathways visible, the champion becomes more effective at driving consensus and access.
- •Acts like a “deal chessboard” for multi-stakeholder strategy
- •Helps reps and champions identify who must be involved to win
- •Makes blind spots visible to the buyer’s internal advocate
- •Supports coordinated multithreading and stakeholder coverage
- 5:33 – 6:08
Cycle-time compression: from six months stuck to weeks to an eight-figure close
A flagship case study: a team stalled for six months then used Centralize to find a warm route into the C-suite via a head-of-marketing connection. With the newly mapped org gaps and pathways, they accelerated progress and closed an eight-figure deal in weeks post-adoption.
- •Pre-Centralize: six months of limited progress in a major account
- •Post-Centralize: identified a warm pathway into the C-suite
- •Mapped missing org structure that the champion didn’t realize existed
- •Result: accelerated to close an eight-figure contract in weeks
- 6:08 – 6:38
Who should use Centralize: the entire revenue org on complex deals
Rachit outlines the ideal users: enterprise/strategic AEs and SDRs working multithreaded deals, plus post-sales teams responsible for retention and expansion. The product is positioned for anyone whose success depends on understanding and managing complex stakeholder networks.
- •Primary users: enterprise/strategic AEs and SDRs
- •Extends to CS/AM teams for retention and expansion
- •Useful wherever stakeholder change and org complexity threaten deals
- •Best fit: organizations selling into multi-thread, high-stakes accounts
- 6:38 – 7:15
New access model: “single-player mode” free for individuals
Following their Series A announcement, Centralize launched a free individual mode to lower adoption friction. The goal is to let anyone try the workflow and relationship-mapping approach without requiring a full org rollout.
- •Announced Series A and followed with product access expansion
- •Launched “single-player mode” (free for individuals)
- •Reduces friction to test-drive the relationship GPS concept
- •Encourages bottoms-up adoption and experimentation
- 7:15 – 8:12
Who thrives at Centralize: high-agency builders (hiring across eng + GTM)
Will describes the core hiring trait: agency—high ownership and the ability to push through ambiguity. They’re looking for builders across engineering (including AI/full-stack) and go-to-market roles to help scale the company.
- •Primary success trait: agency (ownership, bias to action)
- •Company-building environment with high ambiguity and responsibility
- •Hiring: engineers (AI/full-stack) and go-to-market roles
- •Seeks “builders” who can independently drive outcomes
