Extruct helps you search for companies using complex natural language queries. It enriches company data, including hard to parse unstructured information, and finds and enriches people’s contacts through a waterfall process across more than 20 sources
Insquad
Congrats! Looks interesting!
@rinat_khatipov1 thanks, give it a try!
Refero
Interesting concept! I love the idea of skipping filters and just describing what you’re looking for. How accurate are the results in practice? For example, can it handle something like “startups in Europe working on AI agents”?
@mishkadoing the more nuanced queries, the better results.
Here's what we have on this seacrh: https://app.extruct.ai/tables/shared/7f6c63bb-c7cf-4c48-b31d-02f99f072cf3
OMG! If someone creates a Polymarket bet that this startup becomes a unicorn within a year, SEND ME THE LINK! I'm going all-in!
Cmpny
Works perfectly out-of-the-box, exactly on-point!
@karen_manukyan glad it's been helpful 🎉
@karen_manukyan thanks! Curious what was your case?
No Cap
Much needed idea - any benchmarking results you guys can share?
@ednevsky hey Alex,
Sure! Here's a comparison with Exa, Clay and Perplexity we did a while back: https://www.extruct.ai/blog/extruct-data-accuracy/
We've spent 100B+ OpenAI tokens running AI agents to find the design that doesn't hallucinate, perseveres to find difficult data points, and disambiguate entities properly.
@ednevsky thanks! Yeah, it's still WIP on how to define the accuracy for GTM agentic words, but here's our first draft.
https://www.extruct.ai/blog/extruct-data-accuracy/
I like the interface and whole UI. Is there an API or integration planned for CRMs or email sending tools?
Looks interesting! Would you say this could a potential use for marketers? If so, how would it come into play with data privacy and anti-spam laws?
@ysabelle_bookipi yeah, we have a lot of marketers on the platform, especially in the b2b space.