Berkeley SkyDeck is a leading startup accelerator and incubator based at UC Berkeley, providing resources and mentorship to early-stage startups.

SEGITA
SEGITA is a social economy global impact tech accelerator based in the United States, supporting entrepreneurs in developing countries and underserved demographics through various programs and resources.
- Website
- segita.org
- Recorded stages
- Pre Seed, Seed
- Recorded regions
- Global, Africa
Online destinations
Find SEGITA online
Public destinations are grouped by their documented relationship to the organization. A listed link does not by itself prove ownership or control.
Official links
Destinations the organization presents as part of its public presence.
Overview
SEGITA is dedicated to promoting entrepreneurship through various programs and resources aimed at improving business skills and decision-making. The organization focuses on supporting entrepreneurs from developing countries and underserved demographics, helping them to validate their ideas and refine their business models.
Focus
SEGITA invests in early-stage startups, providing services such as mentorship, business case development, pitch preparation, and access to investors. The organization emphasizes social impact and aims to increase entrepreneurs' investment readiness.
Support
SEGITA offers mentorship, business case development, pitch preparation, and access to a network of investors, all aimed at helping entrepreneurs succeed in their ventures.
Questions
Q: What is the focus of SEGITA? A: SEGITA focuses on supporting entrepreneurs in developing countries and underserved demographics through mentorship and resources. Q: How can I apply? A: Interested applicants can visit SEGITA's website for more information on the application process.
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Sources and known limits
Last reviewed .
Terms, dates, and eligibility can change. Confirm time-sensitive details with the original source.
Stage and region classifications are shown as recorded. Broad labels such as “Global” and category-like stage labels may still need normalization.
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