At Datakami, we view our relationships with clients as partnerships. This page describes what kind of work we do, who we work for, and how we work together with your team.
Datakami is a software engineering company specialized in generative AI. We help early-stage startups that are building products with generative AI at the core. When their own team hits a technical problem they can't solve (evals, pipelines, infrastructure, deploying open-source models) they call us. We show up like virtual Ghostbusters and break through the problem.
Startups of all shapes and sizes. We've worked for three co-founders with a prototype and Series C companies with their own ML engineers. So far we've had clients in the US and Europe. The one thing they all have in common: generative AI is at the heart of their product, and they need outside experts to reach the next milestone.
Everything needed to take a generative AI product from prototype to production: architecture, infrastructure, choosing and fine-tuning models, LLM evals, and scaling to serve thousands of users. If your product can't keep up with your users, or you're doing evals for the first time and want to do them right, that's our sweet spot.
Our core service is team embeddings for generative AI engineering. Our specialists join your team a few days per week to solve hard generative AI problems. Examples: building evals, optimizing LLM pipelines, designing infrastructure, fine-tuning models, and deploying open-source models into production.
Apart from that, we offer light-weight options for teams that are earlier in their journey: whiteboard sessions to sketch out what's possible, talks and workshops to upskill your team and help your company invent its own AI use cases, and advisory retainers where you talk to us regularly.