How we saved 80% off LLM inference costs
How we saved 80 % off LLM inference costs by pruning “junk tokens”. And why this pattern works almost anywhere.
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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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Case Study: Building a Legal Intelligence Platform with RAG & GPT-4o
We helped a US law firm ingest gigabytes of mixed-format case files and, within three weeks, launch a chatbot that answers legal queries and predicts case value in near real-time. A cost-optimised RAG pipeline, Pinecone vector store and GPT-4o power the solution—cutting storage by 75 % and response times below a second.
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