Reflect

Reflect

The analytics tool for HR. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
€8—12m (Dealroom.co estimates Sep 2022.)
Paris Île-de-France (HQ)

Financials

Estimates*

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Revenues, earnings & profits over time
USD2023
Revenues2.3m
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DateInvestorsAmountRound
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N/A

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*

€2.0m

Seed
Total Funding€2.0m

Recent News about Reflect

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More about Reflectinfo icon
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Reflect.io is a technology startup that operates in the Human Resources (HR) software market. Its primary product is a data analytics platform designed to streamline the process of managing and interpreting HR data. The platform is designed to eliminate the need for manual data extraction, cleaning, and analysis, which are common challenges in HR departments.

Reflect.io's platform is designed to serve HR professionals, managers, and executives in businesses of all sizes. It provides them with a user-friendly tool to track Key Performance Indicators (KPIs), make data-driven decisions, and improve their HR strategies. The platform also allows users to explore their data in depth without the need for technical knowledge, saving them time and resources that would otherwise be spent on data analysis.

The company's business model is likely based on a subscription model, where clients pay a recurring fee to access the platform and its features. This model is common in the software-as-a-service (SaaS) industry, which Reflect.io operates in.

Reflect.io also emphasizes data transparency and accessibility. It allows users to share their dashboards with other team members, and manage permissions to restrict access to sensitive information. This feature is particularly useful for HR departments, which often handle confidential employee data.

In summary, Reflect.io is a SaaS startup that provides a data analytics platform for HR professionals. It aims to simplify HR data management and analysis, and promote data-driven decision making in businesses.

Keywords: HR Software, Data Analytics, KPI Tracking, Data-Driven Decision Making, User-Friendly, Data Transparency, Subscription Model, SaaS, Data Management, Confidentiality.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.