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Scale Capital, VC Fund

Scale Capital

VC Fund

Santiago, Chile

Scale Capital is a Mid Market Growth and Private Equity firm exclusively dedicated to investments in Telecommunications, Media and Technology in Latin America and Spain

Total investments:
10
Last investment:
Lead investor:
70%
Fund size:
$35M
Last fund:

Last updated:

Industries Scale Capital invests in

Artificial IntelligenceSaaSFinTechBig DataMachine Learning

Stages Scale Capital invests in

SeedSeries ASeries BVenture - Series Unknown

Countries Scale Capital invests in

United StatesChileSpain

Round sizes

Seed $650k–$2MSeries A $1.7M–$2MSeries B $8M–$13M

Contacts

NameEmailPhoneSocials

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Round size

Seed
$650k–$2M
Series A
$1.7M–$2M
Series B
$8M–$13M

Investment Focus

Industry

  • Artificial Intelligence 3 (30%)
  • SaaS 2 (20%)
  • FinTech 2 (20%)
  • Big Data 2 (20%)
  • Machine Learning 2 (20%)
See all 36 industries →

Stage

  • Seed 5 (50%)
  • Series A 2 (20%)
  • Series B 2 (20%)
  • Venture - Series Unknown 1 (10%)

Country

  • United States 4 (40%)
  • Chile 3 (30%)
  • Spain 1 (10%)

Team

NameTitleInvestmentsLinksEmail
Andres Sole
Andres Sole Operating Partner
Operating Partner Total investments: 0
Find email
Jacopo Bracco
Jacopo Bracco Managing Partner
Managing Partner Total investments: 0
Find email
Oliver Flögel
Oliver Flögel Managing Partner
Managing Partner Total investments: 3
Find email

Investments

CompanyDescriptionRoundLinks
Simple Soluciones offers digital solutions in a short period and is easy to understand. Seed / Jan 01, 2025
u-planner is an international technology solutions company for higher education. We seek to improve education by incorporating Data Science concepts such as Big Data and Artificial Intelligence that help optimize and improve the educational system, improving the quality of education that students obtain and their final results. u-planner’smission is to empower HEI with innovative technological solutions that allows them to achieve high performance in the execution of their strategic plans. Nowadays, there is a disconnection from what is needed by students, teachers and management. Today we work in three main product lines which represent some of the biggest needs of HEI, Planning, Assessment and Student Success, in which we can, for example, score students based on their dropout probability with a 95% accuracy. This has represented a huge opportunity, and we are using these and other analytical algorithms to empower education systems with new innovative technology solutions. We have led HEIs to step out of their comfort zone, from outdated Oracle data bases and legacy systems, to analytical business tools, replacing manual processes and intuition, with cutting-edge machine learning algorithms that extract information from raw data; this has allowed institutions to avoid specific investments, leaving the architecture and implementations complexities to the provider as a first approach to a cloud based environment; changing education driving impact and insights for institutions to help students in classrooms of today to create the future of tomorrow. $5M / Venture - Series Unknown / Oct 04, 2018
Fracttal offers intelligent maintenance and asset management software (CMMS/GMAO/EAM), that is 100% mobile and cloud-based. These tools allow companies to manage their maintenance in a more sustainable, secure, and efficient way that guarantees the integrity and continuity of their operations, as well as the safety of workers.Demonstrated improvements include reducing asset failures by over 25%, improving maintenance costs by at least 15% and increasing productivity by more than 35%, while also reducing accidents and operational risks. Fracttal, which counts companies such Acciona, Unilever, Iberostar, Veolia and FedEx, among its almost 1000 customers, directs its solutions to large multinationals and SMEs in various industry sectors, including manufacturing, facility management, energy, and transport in which it already has a significant presence.With its main solution, Fracttal One, companies can remotely manage all maintenance operations from any device and for any type of asset, including equipment, vehicles, machinery, and facilities. This intelligent tool, a leader in several of the world's most prestigious rankings, facilitates real-time collaborative work between different work teams and integrates with any ERP. Fracttal One improves decision making, maximizes efficiency and extends the useful life of physical assets, while reducing incidents and unplanned downtime that can lead to delays, lost profitability, and accidents. Fracttal has also developed Predictto, an AI enabled predictive maintenance solution that allows companies to anticipate failure conditions with a high percentage of certainty. To do so, Predictto applies Machine Learning to bigdata, identifying the behavior of assets based on proprietary reliability and degradation models. $2M / Seed / Apr 05, 2018
Inbenta is a cloud-based, AI-powered Natural Language Search for customer support and e-commerce. Backed by Natural Language Processing (NLP) technology, Inbenta's Semantic Search software can power everything from intuitive chatbots to search engine solutions within the website and corporate Intranets, ultimately resulting in a better onlinecustomer experience.Inbenta is comprised of a worldwide team dedicated to developing the best customer experience companies can offer. Our customers include Groupon, Ticketmaster, Schlage, Act-On, Santander, Blurb, and many more. $12.6M / Series B / Sep 14, 2016
Pago46, a Mexico City–based fintech, provides cash-in and cash-out rails across Ecuador, Chile, Argentina, Mexico, and Peru, enabling millions of unbanked and underbanked consumers to connect with the digital economy.Through its unique mobile network of collection agents, Pago46 offers users without access to traditional banking the ability toseamlessly make cash payments and withdrawals for digital goods, services, and remittances. This network bridges the gap between global merchants and local consumers, delivering convenience, trust, and financial inclusion at scale.For agents, Pago46 creates a new source of income by allowing them to serve as trusted intermediaries—collecting and disbursing cash while leveraging the company’s technology and infrastructure. $2M / Seed / Apr 20, 2016
Kuapay offers a mobile payment application that enables its users to make purchases with smartphones. The system allows consumers to present one-time QR codes to merchants, authorize purchases, and receive receipts. While its features also include location-based coupons and loyalty marketing, its one-time mechanism increases security overpresenting a credit card number. Kuapay was founded in 2011 and is based in Santa Monica, California. $8M / Series B / Apr 30, 2014
Inbenta is a cloud-based, AI-powered Natural Language Search for customer support and e-commerce. Backed by Natural Language Processing (NLP) technology, Inbenta's Semantic Search software can power everything from intuitive chatbots to search engine solutions within the website and corporate Intranets, ultimately resulting in a better onlinecustomer experience.Inbenta is comprised of a worldwide team dedicated to developing the best customer experience companies can offer. Our customers include Groupon, Ticketmaster, Schlage, Act-On, Santander, Blurb, and many more. $2M / Series A / Apr 17, 2014
Mediatech with a leading end-to-end SaaS solution for streaming (VOD, Live, OTT, OVP, Audio Online, Ads, AI). Over 350 clients trust us. $1.7M / Series A / Jan 24, 2014
ZYGHT improves the management of workplace safety in the company, through a virtual community that informs workers of active risks, via on-line alerts carried out by them. It incorporates georeferenced visualization in on-line risk map $650K / Seed / Nov 02, 2013
While whoever doing polls/surveys focus on how to create the questions, Pick1 focuses on how to leverage the answers: social insights crunched to deliver actionable data.A Brand using Pick1 gets an highly customizable, flexible and integrated solution that connects seamlessly with third party technologies (SalesForce, MailChimp, Lithium),enabling the brand to process this information in an automated way: a "survey/marketing intelligence suite".The result of this is that: a) the Brand doesn't need to go through the pain of integrating a polling tool into its own properties, because Pick1 is taking care of that via API, b) any other solution would be not providing any kind of context data anyway, which Pick1 instead provides.The Brand can then leverage this further layer of data to create clusters of users, matching them with a more specific content/advertising to generate higher engagement and conversion. $1M / Seed / Sep 12, 2012

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FAQ

What does Scale Capital invest in?

Scale Capital invests primarily in Artificial Intelligence, SaaS and FinTech startups, most often at Seed and Series A stage. Most of the 10 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

What round sizes does Scale Capital invest in?

Scale Capital typically joins rounds of $650k–$2M at Seed, $1.7M–$2M at Series A and $8M–$13M at Series B. These are whole funding-round sizes, not Scale Capital's own check, which is rarely disclosed: the 10th–90th percentile of the confirmed public funding rounds Scale Capital took part in.

How do I contact Scale Capital?

Public channels for Scale Capital include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

Who are the partners at Scale Capital?

The team at Scale Capital includes Andres Sole (Operating Partner), Jacopo Bracco (Managing Partner) and Oliver Flögel (Managing Partner). The Team section lists each member with their title, investment count and links.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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