Hey Matt,
How does it compare to traditional keyword-based searches in terms of accuracy?
Regarding the enriched company profiles, how do you ensure the ESG and diversity information is up-to-date and accurate?
Congrats on the launch!
@kyrylosilin thanks for the questions!
We pre-process the job data and use RAG with our own custom definitions. Additionally, we employ traditional keyword-based classifications when we achieve a super high degree of confidence. Our next step is to develop a fine-tuned, end-to-end system to further enhance our process
Company profiles are still developed manually. We’re working on automating this process without compromising on quality. Perplexity api and similar options are still not good enough yet.
Thanks!
Congrats on the launch, Matt! 🚀 Kablio sounds like a game changer for the construction, energy, and engineering sectors. The AI matching feature will definitely save time for job seekers and employers alike. Excited to see the impact this will make in the industry! #PHCommunity
Great to see Kablio launching, Matt! The focus on AI-driven job matching in such vital sectors is impressive. Excited to see how this can improve talent allocation and provide better opportunities! Looking forward to checking it out.
Excited to see Kablio launching, Matt! This AI-driven job marketplace could really reshape talent allocation in construction and energy. The focus on company ESG credentials is such a smart move—definitely makes job searching more meaningful. Looking forward to seeing how it evolves! 🚀
Congrats on the launch, Matt! Kablio sounds like a game-changer for the Construction, Energy, and Engineering sectors. The AI-powered job matching and enriched company profiles are fantastic features that will definitely streamline the talent allocation process. I love the focus on ESG credentials too—it’s crucial for making informed choices in today's job market. Wishing you tons of UPVOTES from the PH community! Excited to see how Kablio evolves with user feedback. Keep up the great work! 🚀
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