Case Study: Rebuilding a Scalable Student Financing Platform with Next.js and Prisma

Identifying real-time buying intent has always been a challenge in sales. Humans can’t monitor thousands of job boards, careers pages, or corporate signals at once—but AI can. We partnered with a sales intelligence company to build a cutting-edge platform that automatically detects tech hiring signals, investment indicators, and purchase intent—giving sellers a head start on valuable opportunities.

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Case study: AI Legal Risk Detection | LLM + RAG for Content Review

Identifying real-time buying intent has always been a challenge in sales. Humans can’t monitor thousands of job boards, careers pages, or corporate signals at once—but AI can. We partnered with a sales intelligence company to build a cutting-edge platform that automatically detects tech hiring signals, investment indicators, and purchase intent—giving sellers a head start on valuable opportunities.

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AI-Powered Sales Intelligence – Detecting Tech Buying Signals Through Job Postings

Identifying real-time buying intent has always been a challenge in sales. Humans can’t monitor thousands of job boards, careers pages, or corporate signals at once—but AI can. We partnered with a sales intelligence company to build a cutting-edge platform that automatically detects tech hiring signals, investment indicators, and purchase intent—giving sellers a head start on valuable opportunities.

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Case study: reducing 65% of ML pipeline time at Google [code available]

The AI Flow CEO helped Google push the boundaries of feature selection in machine learning pipelines. By building on top of their state-of-the-art research, we developed a tool that reduces feature sets by up to 64%, while maintaining model performance—cutting training time, inference time, and model size significantly, with the potential to scale across Google’s ecosystem.

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