Cristobal Silva Lombardi
Partner @ Kayyak Ventures
Santiago, Chile
Cristobal Silva Lombardi is a Series A investor at Kayyak Ventures in Santiago focused on SaaS and FinTech. Cristobal Silva Lombardi
- Total investments:
- 7
- Last investment:
- Lead investor:
- 57%
Last updated:
For AI agents: llms.txt
Industries Cristobal Silva Lombardi invests in
Stages Cristobal Silva Lombardi invests in
Countries Cristobal Silva Lombardi invests in
Investment Focus
Industry
- SaaS 2 (29%)
- FinTech 2 (29%)
- Financial Services 2 (29%)
- B2B 1 (14%)
- Big Data 1 (14%)
Stage
- Series A 2 (29%)
- Series B 2 (29%)
- Funding Round 2 (29%)
- Seed 1 (14%)
Country
- Chile 2 (29%)
- Spain 1 (14%)
- United States 1 (14%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Fracttal
|
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. | $35M / Jan 21, 2026 | |
|
Fracttal
|
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. | $10M / Series B / Oct 30, 2023 | |
Galgo
|
Migrante is a fintech with the purpose that giving access to financing through technology, we seek to get to know them and thus give them loans for their ventures and improve their quality of life. | $40M / Oct 10, 2023 | |
|
Galgo
|
Migrante is a fintech with the purpose that giving access to financing through technology, we seek to get to know them and thus give them loans for their ventures and improve their quality of life. | $40M / Series B / Oct 10, 2023 | |
|
Galgo
|
Migrante is a fintech with the purpose that giving access to financing through technology, we seek to get to know them and thus give them loans for their ventures and improve their quality of life. | $29M / Series A / Mar 26, 2022 | |
Wherex
|
wherEX is an e-sourcing and supplier engagement platform that uses machine learning to leverage procurement data from the whole network, delivering deep supplier and cost saving opportunities insights to Supply Chain and Procurement teams. wherEX platform has been design to foster competition and transparency in every negotiation, reducing risksand costs of enterprise commerce. | $7M / Series A / Aug 23, 2021 | |
Marco
|
Marco is a tech-enabled, trade finance platform that provides reliable access to working capital for Latin American SMEs. It promotes paperless processes and dedicated support from industry experts to create a seamless financing solution.The company was founded in 2019 by Jacob Shoihet and Peter D. Spradling and is headquartered in Miami,Florida. | $7M / Seed / Jul 13, 2021 |
Co-Investors
About Kayyak Ventures
We make long-term bets on mission-driven entrepreneurs, individuals who have a creative imagination and a radical vision of how the world should look like.We are highly selective in who we invest in, focusing on a handful of entrepreneurs per year in order to dedicate our full energy and heart to helping them. We like to be artisans.Wetypically invest in companies that are generating revenues with attractive margins and/or unit economics and capital-efficient business models.We focus on Seed, Series A, and Series B rounds. We are prepared to invest $1.5 million to $5 million in each new investment and expect to continue investing in our portfolio companies in successive rounds. We are flexible on the mechanics. We can lead or participate.We primarily invest in companies based in Latin America, but we also back businesses led by Latin founders in other places like the US or Europe.We are purpose-driven investors. We seek to invest in companies and exceptional entrepreneurs who are on a mission to solve our biggest social and environmental challenges by developing businesses that are competitive, scalable, and sustainable.We believe people, teams, and culture are the ultimate competitive advantage of a company: attitude over talent.
Kayyak Ventures Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Alejandro Tocigl
Partner
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Andrés Pesce
CEO & Partner
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Cristobal Silva Lombardi
Partner
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Daniela Calleja
Venture Partner
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Domingo Claro
Investor & Head of Research
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FAQ
What does Cristobal Silva Lombardi invest in?
Cristobal Silva Lombardi invests primarily in SaaS, FinTech and Financial Services startups, most often at Series A and Series B stage. Most of the 7 investments tracked by Shizune back companies in Chile. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did Cristobal Silva Lombardi last invest?
The most recent investment recorded for Cristobal Silva Lombardi closed in Jan 2026. Shizune tracks 7 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
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 Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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