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Bloomberg Beta

Corporate venture · San Francisco, USA · Founded 2013 · Active in 2026

A public taster of the full Dealroom platform — request a demo to explore live deal flow, full investor history, and team intel. · Last updated 15 Apr 2026 · Methodology

16 Power Law outcomes Power Law Ranking #66 · 16 Power Law outcomes · Active 2026
Enterprise value ↑ 137% 5y
$66B
Unicorns ↑ 55% 5y
17
Decacorns → 5y
0
Thoroughbreds ↑ 55% 5y
17

Bloomberg Beta is a corporate venture based in San Francisco, USA, founded in 2013. The page below shows 16 Power Law outcomes from Bloomberg Beta's portfolio — 17 unicorns ($1B+ valuation) and 0 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · Other B2B Software · AI; top portfolio geographies are USA. Bloomberg Beta ranks #66 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 16 Bloomberg Beta Power Law outcomes ($100M+ revenue and above).

Snapshot of where the outcomes are concentrated by country, sector, and stage entered.

By countryCount
  1. USA16
By sectorCount
  1. Fintech4
  2. Other B2B Software3
  3. AI3
  4. Edtech2
  5. Other1
  6. Robotics1
  7. Transportation1
  8. Marketing1
By stage enteredCount
  1. Series B+2
  2. Series A8
  3. Seed6
01 · Portfolio market map

Bloomberg Beta's 16 Power Law outcomes.

Toggle between a sector landscape and a world map. Both views respond to the stage and outcome-tier filters. The faded names at the bottom of bigger boxes are part of the full list — click "+ N more" to reveal them.

Stage entered
Outcome tier
Region
Group by
16 of 16 Power Law outcomes
Logos hosted by Dealroom; click any chip to open the company in app.dealroom.co. The dot inside each chip shows the company's highest tier — red Gigacorn, violet Centicorn/Decacorn, lavender Unicorn, blue Thoroughbred, green Colt. Tiers are inclusive: a Unicorn (e.g. Klarna) also matches the Thoroughbred filter, a Decacorn also matches Unicorn and Thoroughbred, and so on up the ladder. Colt is a separate axis (high-growth, smaller revenue) and only matches itself. Map dots use the same colour code; hover for details. Sectors are mutually exclusive (priority-ordered classification). Stage entered = the round Bloomberg Beta first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Bloomberg Beta's founders come from — and where they study.

33 founders across the 16 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Stanford University and Microsoft are the deepest single pipelines.

LocationCount
United States17
Israel5
Jordan4
Denmark3
China2
India2
View on app →
UniversityCount
Stanford University4
Tel Aviv University3
Al Ahliyya Amman University2
University of Copenhagen2
University of Wisconsin-Madison2
Harvey Mudd College2
Princess Sumaya University for Technology1
Tsinghua University1
Indian Institute of Technology, Madras1
Technion Israel Institute of Technology1
+7 more →
Origin companyCount
Microsoft7
Alphabet | Google4
Palantir3
Meta3
Yahoo!2
SAP2
Apple2
Tableau2
eBay2
Cornerstone OnDemand1
+27 more →
Origin = country a founder is born in or grew up in (founders may have multiple origins; counts include all entries). University = highest-listed degree. Origin company = a previous employer where the founder was tagged before starting their current company. Explore the full Sequoia infographic on Thoroughbreds & Unicorns →
03 · Key people

Key people at Bloomberg Beta.

Senior investment team at Bloomberg Beta has not been published on this profile yet.
Suggest the partner roster →
No partner roster has been published on this profile yet.
04 · Compare with peers

How does Bloomberg Beta stack up?

Bloomberg Beta in orange, your selection in blue and other colours. Pick from the global roster of 35 peer investors — filter by region or hit "Find similar shapes" to auto-pick the three closest. The funnel matrix mirrors the spider chart on the ranking page; the line chart shows each firm's share of global unicorns minted that year — peaks reveal vintage years.

Compare against

Stage focus

Companies by entry stage and outcome tier

Sector focus

Companies per investor across the 10 highest-volume sectors

Share of new unicorns per year

% of all global unicorns minted that year, year by year
Source: Dealroom Power Law dataset. Investors shown are the 2026 Power Law top 35 by combined entry-to-outcome score, drawn from the overview and locations_data sheets. Funnel-matrix axes rescale per-axis using the maximum among the currently selected investors, so the polygons always fill the chart for shape comparison.

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