Filtered

Filtered

Platform that helps companies hire better engineers based on ability, not resumes.

HQ location
Boston, United States
Launch date
Employees
Enterprise value
$40—60m
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DateInvestorsAmountRound
-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 Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20192020202120222023
Revenues00000000000000000000
% growth-53 %52 %--
EBITDA00000000000000000000
Profit00000000000000000000
EV00000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x
R&D budget00000000000000000000

Source: Dealroom estimates

More about Filtered
Made with AI
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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.

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