We build AI systems for AI startups
Datakami is a software engineering company specialized in generative AI. We build AI systems that work: LLM pipelines, agents, evals, benchmarks and model deployments. When engineering problems are blocking your growth, our machine learning engineers embed with your team and remove the bottlenecks.
Stuck between prototype and production? Something standing in the way of your next funding round? Talk to us.
Trusted by teams at
We've helped AI startups raise $1,405,232,435 and counting.
As a founder, you're in the business of building rockets. Funding is your rocket fuel. Your task is pointing the rocket in the right direction: figure out distribution, build, and create a feedback loop to improve your product over time.
But what if your prototype keeps exploding at random moments? Where are you going to find the right hull plating, to withstand the extreme temperatures in space? What if the thrusters aren't strong enough to reach escape velocity and break through the atmosphere? And what if your team is busy putting out fires, instead of preparing for the launch date?
Datakami provides elite ML engineers to AI startups. We support founders and their engineering teams by advising and building products. If you want, we work directly in your codebase and implement our own advice, so you can focus on growth and raising your next funding round.
Our services
Our core service is the team embedding: our specialists join your team a few days per week to solve hard generative AI problems. For teams that are just starting out, we offer lighter options such as whiteboard sessions, talks and workshops, and advisory retainers.
Engineering
We ship production-grade code directly to your codebase.
- Implementing observability and evals, so you know exactly what your AI systems are doing
- Optimizing LLM pipelines and agents for output quality, latency, and cost
- Building custom benchmarks and datasets
- Fine-tuning models and deploying open-weights models to production
- Improving the reliability of customer-facing AI applications
- Removing technology bottlenecks to growth
- Preparing for launch day through quality and reliability fixes
Technical advisory
We help you make the right technical decisions.
- Choosing the right model for your pipelines, LLM workflows and agents
- Selecting the right libraries, frameworks, datasets, and benchmarks for your product
- Advising on the right dev tools to protect your team's development velocity
- Sketching what's possible for your product with the latest AI capabilities
- Upskilling your team with talks, demos and workshops
- Supporting engineering team hiring
Early-stage startup? Find out whether your MVP will hold up in production with our AI readiness self-assessment.
Get your AI readiness score“We've worked with Datakami for over a year, and we wouldn't be where we are without them. … Having them by our side as we were building was truly instrumental.”
Case study
From scattered experiments to a trusted pipeline
A SaaS startup's onboarding team had become a bottleneck to growth. We turned their collection of Jupyter notebooks into a production-ready onboarding pipeline. We worked with their in-house team of domain experts and their solo ML engineer to build an AI system that they could trust.
$5M → $25M
We helped a 5-person founding team grow from seed funding to Series A in 15 months
177 GPU-hours
cut from a client's daily GPU usage, within 48 hours of starting the project
40 million runs
of our open-weights model deployments on Replicate
From the blog
We attended AI Engineer Europe 2026 in London. Read our conference report for highlights on agentic feedback loops, coding agent tooling, and a Claude Code production meetup.
Creative Bot Bulletin
We write "Creative Bot Bulletin", a newsletter about generative AI: new developments, the best reads on the web, and what we've been working on.