Altooro

AI-based Coding Assessment Platform

Education & Knowledge Technologies
Non Active, Jul 2025 ceased to operate
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Company Overview

Snapshot

Founded in September 2020 by Wasim Salem and Mohammad Mitwaly, Altooro operates with 1–10 employees. The company has raised $2.5M across one funding round from 3 investors. In August 2022, Altooro secured Seed funding from SIBF VC and Inventech Industrial Ventures.

Business overview

Altooro is a B2B tech training and coding assessment platform that leverages AI to provide a suite of automated tools for evaluating software engineers. Designed for enterprises and hyper-growing startups, the platform helps companies assess skills rather than relying solely on resumes. Altooro operates within the Education & Knowledge Technologies sector, focusing on enterprise solutions and HR tech.

Strategic signal

In September 2022, Altooro was featured in Geektime for its AI-based platform designed to identify top talent in development teams. This highlights the company's innovative approach to technical recruitment and its potential to disrupt traditional hiring processes by focusing on objective skill assessment, signaling a forward-looking strategy in talent acquisition technology.

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Company Intelligence Q&A

What is Altooro's primary focus?
Altooro specializes in providing an AI-based coding assessment platform for B2B clients, including enterprises and hyper-growing startups, to evaluate software engineers.
When was Altooro founded and by whom?
Altooro was founded in September 2020 by Wasim Salem and Mohammad Mitwaly.
What significant funding did Altooro receive?
In August 2022, Altooro secured Seed funding from SIBF VC and Inventech Industrial Ventures.
What is the current operational status of Altooro?
Altooro is currently non-active, having ceased operations in July 2025.
How does Altooro's platform differentiate itself?
Altooro's platform helps companies evaluate skills rather than relying solely on resumes, as highlighted in an August 2022 Calcalistech article, emphasizing a merit-based approach to talent assessment.
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