Engineering Blogs

How Draup turns news, earnings calls and annual reports into one evidence-backed priority list per company using a 4B open model on a single GPU.

A production case study on slashing Claude agent costs by 25% using a four-breakpoint prompt caching topology, with zero changes to model, tools, or output.

Learn how Draup converts messy salary text into structured global compensation data using a purpose-trained Gemma 3 model. Enable accurate benchmarking, location strategy, and workforce planning across 49 countries.

Access Draup’s intelligence via MCP to power LLMs with real-time data—enabling richer prompts, faster RAG, and easier AI integration.

Explore the benefits of the Futuristic Hiring Framework for efficient talent acquisition and reducing hiring times significantly.

Explore the Employee Benefits Study to understand the impact of benefits on workplace satisfaction and employee retention.

Explore how Draup's Harvester team gathers data from over 8000 sources, maintaining high uptime for data processing.

Explore the groundbreaking advancements in multimodal models that are shaping the future of artificial intelligence technology.

Explore the world of data science notebooks and how they facilitate code, data, and model experimentation in your projects.

Explore the power of Word Embeddings and how they enable computers to understand language through effective natural language processing.

At Draup, we immerse our employees in a culture of continuous learning, complete ownership of ideas from proposal to execution to achieve product excellence & customer satisfaction.

Explore decoding strategies with visualizations using Ecco. Learn how LSTM and RNN enhance language model generation.

Draup faces a very similar challenge when it comes to presenting its data to users in a meaningful manner. Book a Demo.

Draup is a Big Data & Machine Learning based platform. If you are a budding startup & need guidance on solving similar problems, feel free to reach us.