We build the
AI layer
for SaaS companies.
Production-grade LLM systems, shipped at 7M-user scale. We're the team SaaS founders call when they need AI features that actually work in production, not a proof of concept.
users on platforms we've helped build
daily requests handled in production
typical time to ship an AI feature
from day one
Services
Ship AI features your users actually use.
RAG systems, agent workflows, LLM-powered internal tools, and AI features built into your product. We handle the full pipeline: retrieval, prompting, evals, cost optimization, and production monitoring. Claude, Gemini, OpenAI, open-source models.
Full-stack product work, senior-only.
When you need to ship product, not just AI features. Next.js, TypeScript, Postgres, everything modern. We plug into your team or run the engineering end-to-end. No juniors on client work.
Make your AI cheap enough to ship at scale.
LLM cost optimization, inference caching, eval pipelines, vector DB tuning, observability. The unsexy work that makes the difference between a demo and a production feature.
Selected work
Scaling an AI-Powered Learning Platform to 7M+ Students
Long-term engineering partner to StudyFetch, an AI learning platform serving 7M+ students. Full-stack work across the platform and mobile app, spanning core product features, AI systems, and infrastructure at scale.
Honen by StudyFetch
Workforce readiness platform by StudyFetch. We shipped core product and AI features end-to-end.
Building an AI-Powered Analytics Platform for Game Servers
Built from zero: a SaaS analytics platform processing 100K+ daily requests, with an AI layer that turns raw event streams into growth recommendations game server operators actually act on. 94% AI satisfaction. 35% ROI improvement for users.
Read case studyMore projects coming soon. Want to be next?
ContactProven Results
The AI team you'd hire if you could.
Production, not proofs-of-concept
Every AI feature we ship runs in production at scale. Users at that scale don't care about your demo. Neither do we.
Senior-led engagements
Every project is architected and reviewed by an engineer who has shipped production systems at 7M+ user scale. Our full team executes, never juniors left unsupervised.
Transparent cost and timeline
Fixed-scope proposals with real delivery dates. No hourly games. No 'AI is hard' excuses. Shipped in weeks, not quarters.
“We don't sell AI. We ship systems that happen to use AI. The difference matters in production.”
Questions founders ask us.
Why hire you instead of hiring an in-house AI engineer?
Senior LLM engineers in the US take 4-6 months to hire and cost $250k+ loaded. You can have us shipping your AI feature in under two weeks. When you're ready to hire in-house, we hand off cleanly.
Do you work with companies outside Europe?
We're an EU company. Most of our clients and partners are US-based, and we operate with overlap on US East Coast hours. Most of our delivery is async, which works well across time zones.
How do you price projects?
Fixed-scope fixed-price for defined work. Monthly retainer for ongoing engineering. No hourly billing. You'll know the number before we start.
What's the smallest engagement you take?
A two-week paid architecture and feasibility sprint. We deliver a technical spec, cost model, and working prototype. From there, you decide whether we build the full thing.
What industries do you work in?
B2B SaaS is our focus. We've shipped at scale in EdTech and gaming analytics. We don't take on EdTech competitors, healthcare (HIPAA complexity), or crypto.
Tell us what
you're shipping.
We take on a small number of clients each quarter. If you're a SaaS company that needs to ship AI features, or you've started and gotten stuck, tell us what you're working on. We usually reply within 24 hours with a concrete next step.