Turning Data Into Justice
CellebriteAt Cellebrite, Aviad Atlas and Daniel Hurwitz are pivotal figures in the R&D department, where they transform diverse data types into actionable insights that aid in digital forensics. Working in Petah Tikva, Israel, they thrive in a supportive team environment characterized by good vibes and collaboration, utilizing state-of-the-art technologies like large language models and Python libraries to solve complex challenges. Their work directly impacts investigators by sifting through vast amounts of data from mobile devices to quickly identify crucial evidence, ultimately turning data into justice. Their passion for innovation and commitment to advancing AI solutions keeps them dedicated to their roles, as they continue to explore new frontiers in data science.
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Tell me, how is your agent feeling? We're seeing a lot of tokens lately. How many tokens did you use today? Too many, too many. You're asking too many questions. So I joined Celebrate a year ago. I actually had a debate. I had an offer from another place. And I actually walked caught my eye in Celebrate because also the team, which you're a part of. Good vibes, good collaboration, a lot of support when needed, working with cutting edge technology. So the data in digital forensics domain is pretty interesting. You have image data, you have text, you have videos. So all of that also, you know, that requires different solutions. Each data needs like a different AI solution. And that's actually one of the things that keeps me working at Celebrate here for seven, almost seven years now. Up until I started working at Celebrate, I was mainly working on textual data. And here we're working on audio, video. And we're also working with state-of-the-art technologies to solve it, like large language models. Working mostly in Python with libraries like Langchain, Pedantic AI. The investigators, our users are swamped with data that comes off of mobile devices. So they are limited in the amount of time they have to solve a case. Navigate through all the data off of somebody's phone. So that's where we come in to present them potential evidence and find that needle in a haystack quickly so that they can solve the case. So I don't think we talked about AI enough. No, we didn't. I'm not sure even if it's a good thing or a bad thing. I mean, as long as it can do my taxes, I think I'll be happy.
