All Raise

What is All Raise?

All Raise is a company within the Non-Profit Organization category. All Raise is a non-profit organization dedicated to accelerating the success of female and non-binary founders and funders in the tech industry. It focuses on increasing the percentage of venture capital dollars going to female founders and the percentage of women in venture capital leadership roles.

When was All Raise founded and where is it based?

All Raise was founded in 2018 and is headquartered in San Francisco, CA.

What is All Raise's Brand Authority Index tier?

All Raise is rated Contender on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe All Raise?

AI narrative accuracy for All Raise is Strong. Significant factual deltas detected.

How do AI models position All Raise competitively?

AI models classify All Raise as a Challenger. AI names competitors first.

How visible is All Raise in buyer-intent AI queries?

All Raise appeared in 5 of 8 sampled buyer-intent queries (63%). The brand dominates 'female venture capital network' but is less visible in generic 'startup mentoring' or 'diversity in tech' queries where larger generic organizations appear.

What do AI models currently say about All Raise?

The brand is strongly associated with the 'Founding 34' female VCs and is recognized for its data-driven approach to diversity in tech. It is viewed as a premier networking and advocacy body, though specific program details can become blurred with other DEI initiatives in AI synthesis. Key gap: AI may struggle to represent the specific current status or availability of particular cohort-based programs (like specific VC cohorts), often conflating past programs with current offerings.

How many facts about All Raise are well-documented vs need fixing vs retrieval-dependent?

Of 5 key facts verified about All Raise, 4 are well-documented (likely accurate across AI models), 1 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.

What is All Raise's biggest AI narrative vulnerability?

The association with the 'Shatter Foundation' name—while related in mission—is not the primary legal or brand name (All Raise), leading to potential confusion with similarly named but distinct DEI entities.

What problems does All Raise solve for buyers?

Buyers turn to All Raise for Internal DEI Committees: Relying on internal HR teams and volunteer 'diversity committees' to drive change without external framework or funding., DEI Consultancy Agencies: Hiring specialized diversity recruiting or consulting firms to audit and fix culture/hiring., Status Quo / Do Nothing: Maintaining existing hiring and investment patterns despite industry-wide gender disparities., among 3 documented problem areas.

What questions do buyers ask AI about All Raise?

Buyers evaluating All Raise typically ask AI models about "diversity in venture capital non-profit", "female founder mentorship programs", "Shatter Foundation mission statement", and 3 similar queries.

What does All Raise offer?

All Raise's core products are Networking, Menotorship, Board placement, and VC training programs..

How is All Raise priced?

All Raise uses Free / Sponsored (donations and corporate partnerships).

Who does All Raise target?

All Raise serves Female and non-binary tech founders, female venture capitalists, and corporate boards..

What differentiates All Raise from competitors?

All Raise Directly founded and led by the venture capitalists who control the industry's capital, rather than being an external advocacy group.

Brand Authority Index (BAI) tier: Contender (exact score locked for unclaimed brands)

Archetype: Challenger

https://optimly.ai/brand/all-raise-shatter-foundation

Last analyzed: May 11, 2026

Verified from All Raise website

Founded: 2018

Headquarters: San Francisco, CA

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About this profile

This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.

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