We improved reliability, established global support, and deployed advanced AI models, positioning the startup as a competitive player in the enterprise LLM space.
Meet our client
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Client’s Challenge
A Silicon Valley Series A AI startup needed to rapidly scale its engineering team to build a RAG (Retrieval Augmented Generation) platform allowing enterprises to extract and transform their raw data into a user-friendly, LLM-ready format, aiming to outperform SOTA models and industry leaders.
Our Solution
In the first 4 months, we expanded the engineering team from 3 to 14 and continued to adapt to the organisational changes. Our support included ML, MLOps, infrastructure, and platform feature development. We deployed 2 computer vision models, contributed to a RAG-focused paper, and owned European hours customer support and incident resolution.
Client’s Benefits
Our support ensured product stability, helped meet roadmap goals, and secure Series B funding. We improved reliability, established global support, and deployed advanced AI models, positioning the startup as a competitive player in the enterprise LLM space.
