
Kula
Recruitment automation platform built to enable hyper-growth companies to build massive talent pipelines on autopilot.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor investor | €0.0 | round | |
* | $12.0m | Seed | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 341 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Kula.ai is a startup that operates in the recruitment technology market, providing an artificial intelligence (AI) powered platform designed to streamline and enhance the hiring process. The company's primary clients are businesses and recruitment teams seeking to improve their candidate sourcing and engagement strategies.
Kula.ai's platform uses AI to generate personalized messages tailored to each candidate's experience, skills, and background, aiming to increase response rates and speed up the hiring process. The platform also allows users to schedule message sequences on behalf of different senders and across various channels, times, and time zones. This automation of the sourcing process, particularly follow-up messages, frees up valuable time for recruiters to engage in more meaningful conversations with potential hires.
In addition to its messaging capabilities, Kula.ai offers a Chrome extension, Kula Everywhere, which enables users to gather ideal candidates from LinkedIn and GitHub, and automate LinkedIn connection requests and InMails. The platform also provides a feature for automating employee referrals, allowing users to find prospects and request warm referral introductions with ease.
Kula.ai's platform also includes analytics and tracking capabilities, providing insights into candidate outreach stages, team performance, and return on investment (ROI) for employee referral programs.
The company generates revenue through a subscription-based model, where clients pay for access to the platform and its various features.
Keywords: Recruitment Technology, Artificial Intelligence, Candidate Sourcing, Personalized Messaging, Automation, LinkedIn, GitHub, Employee Referrals, Analytics, Subscription Model.