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Tealbook

AI · Toronto, Canada · Founded 2015

Tealbook is a technology startup that operates in the procurement and supply chain industry. It provides a Supplier Data Platform (SDP), a tool that automates the process of collecting, enriching, and distributing supplier data across all relevant systems. In simpler terms, it acts as a central hub for all supplier-related information, ensuring data accuracy and consistency. This is crucial for businesses as it allows for better data governance, traceability, and customization based on individual needs and use cases. Tealbook's clients are primarily businesses that have a significant reliance on suppliers. This includes companies in manufacturing, retail, and other sectors that require a robust supply chain. By optimizing existing procurement technologies, workflows, and processes, Tealbook helps these businesses unlock and realize the investment they've made in their suppliers, people, and Source-to-Pay (S2P) tools & systems. S2P refers to the complete process from sourcing goods and services to paying for them. Tealbook's business model is likely based on a subscription or licensing fee, where clients pay for access to the platform and its features. This model provides a steady stream of revenue and scales well as the client base grows. Tealbook's vision is to power all Enterprise Resource Planning (ERP), S2P, and niche point solutions with autonomously updated supplier data. This means that no matter what systems a company uses, they can all be unified and optimized by a foundation of accurate and up-to-date supplier data. Keywords: Supplier Data Platform, Procurement, Supply Chain, Data Governance, Data Enrichment, Automation, Enterprise Resource Planning, Source-to-Pay, Subscription Model, Supplier Optimization.

Valuation $100–500M
Revenue $10–50M
Headcount <100
Total funding $50–100M
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Tealbook and the history behind them.

Investors

23 investors on Tealbook's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 15 investors entered at this stage
MaRS Investment Accelerator Fund
David Davidovic
David and Laura V
Blair Robertson
Geoff Peddle
Ian Woodbury
Jim Shuman
David Witt
BDC Capital
StandUp Ventures
Two Small Fish Ventures
Refinery Ventures
Workday Ventures
Grand Ventures
Workday
Series A 6 investors entered at this stage
RTP Global
S&P Global
Reciprocal Ventures
Ten Coves Capital
Royal Bank of Canada
GoodFriends
Series B+ 2 investors entered at this stage
Standard Treasury
Silicon Valley Bank

Global footprint

Where Tealbook has talent and traffic

Workforce by country
2 countries with
team presence
🇺🇸 United States52.9%
🇨🇦 Canada47.1%
2 countries shown
Web traffic by country
4.6K monthly visits
across markets
🇺🇸 United States54.3%
🇮🇳 India23.9%
🇬🇧 United Kingdom19.6%
Top 3 markets shown

Talent graph

The shape of Tealbook's talent

Dealroom maps Tealbook's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.

11 standout operatorsDealroom-flagged across the org
7 AI specialistsincl. 4 core researchers
31 employees mappedperson by person
DimensionScore
AI Talentlive Score hidden — book a demo
Engineering Score hidden — book a demo
Product Score hidden — book a demo
Go-to-market Score hidden — book a demo
Leadership Score hidden — book a demo
Research Score hidden — book a demo
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Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.

Market sentiment

What the market is saying about Tealbook

An AI-synthesized read of the highest-engagement posts about Tealbook on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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