# Datarisk.io

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/datarisk-io

- Industry: Software
- Headquarters: Florianopolis, Brazil
- Website: www.datarisk.io
- Total disclosed funding: $0.6M
- Latest round: Seed (May 20, 2019)
- Investors on record: 1

## About

Datarisk.io provides machine learning solutions that empower businesses to leverage data insights effectively. Their innovative Model as a Service (MaaS) platform enhances operational efficiency across various industries.Datarisk.io, founded in 2015, is based in Florianopolis, Brazil. The company specializes in machine learning technologies and has undergone no significant pivots in its business strategy since inception. Founded by Carlos Relvas and Gustavo Di Giovanni Bernardo, Datarisk.io raised BRL 2.50 million in Seed funding on May 20, 2019, led by Crescera Investimentos. The total amount raised so far stands at BRL 2.50 million, with one recorded deal.Datarisk specializes in providing advanced machine learning solutions through their primary offering, Model as a Service (MaaS). This service allows companies to access customized machine learning models hosted in the cloud, enabling them to integrate machine learning capabilities into their applications without significant investments in hardware or the need to hire specialized personnel. Datarisk's product suite also includes MLOps platforms, credit scoring solutions, and AI agents, serving industries such as finance, retail, marketing, healthcare, and supply chain management. Their solutions are designed to enhance decision-making processes by leveraging data-driven insights to maximize profits and minimize losses. Datarisk's client base primarily includes financial institutions, fintech companies, and other businesses seeking to optimize operational efficiency across Brazil and Latin America.Datarisk generates revenue through a subscription-based model for its Machine Learning as a Service offerings, which allows clients to access advanced predictive analytics and modeling capabilities. The transaction structure typically involves clients subscribing to different tiers of service, which may include bespoke machine learning models, consulting services, and ongoing support and maintenance. While specific pricing plans for individual products are not disclosed, the company focuses on scalable solutions tailored to various business sectors. Partnerships with institutions and collaboration with enterprise clients also contribute to the revenue stream as companies increasingly seek data-driven strategies to enhance operational effectiveness and competitiveness in the market.Datarisk.io plans to utilize the BRL 2.50 million raised in Seed funding to develop new machine learning products and expand its service offerings. The company aims to introduce new features and capabilities in its Model as a Service platform, with expected launches in the upcoming year. Additionally, Datarisk seeks to expand into new markets across Latin America, targeting countries such as Argentina and Chile by 2024, to enhance its regional presence and client base.

## Funding rounds

- Seed, May 20, 2019, $0.6M — Crescera Capital

## Investors

- Crescera Capital (https://capitalatlas.ai/funds/crescera-capital) — Seed