
Filtered
Platform that helps companies hire better engineers based on ability, not resumes.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | $10.0m | Early VC | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 53 % | 52 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Filtered.ai operates in the recruitment technology market, providing a skill-based hiring platform designed to enhance the quality of hiring processes for technical roles. The platform serves recruitment teams and hiring managers by offering tools to segment, share, review, and comment on candidate performance. It features anti-fraud and anti-bias functionalities to ensure a fair hiring process. Filtered.ai's business model revolves around subscription-based pricing, offering various tiers of service to cater to different organizational needs. The company generates revenue through these subscriptions, which provide access to its suite of tools and templates for virtual interviewing and candidate assessment. The platform is particularly beneficial for companies looking to streamline their hiring processes, reduce time-to-hire, and improve the overall candidate experience. Filtered.ai's clients range from small startups to large enterprises, all seeking to optimize their recruitment strategies and build stronger teams. The company's focus on automation and efficiency helps clients save time and resources, making it a valuable asset in the competitive hiring landscape.
Keywords: skill-based hiring, recruitment technology, anti-fraud, anti-bias, virtual interviewing, candidate assessment, automation, subscription-based, technical roles, efficiency.