We build production-grade AI systems — autonomous agents, fine-tuned LLMs, and decision platforms that turn ambition into infrastructure.
[ A studio building intelligence as infrastructure ]
Every model is evaluated, red-teamed, and benchmarked before it touches production.
We don't ship notebooks. We ship services with SLOs, monitoring, and on-call rotations.
Success is measured in retained users and revenue — not model benchmarks.
A full-stack AI practice — from foundation models to guardrails. We deploy what we design, and operate what we deploy.
Custom fine-tuning, RAG systems, and production deployment of GPT-, Claude-, and open-source models with evaluation harnesses.
Planning, tool-using agents that execute complex enterprise workflows — from research to scheduling to code generation.
Training clusters, vLLM inference servers, monitoring, and CI/CD for ML — built for teams shipping at enterprise scale.
Embedding pipelines, hybrid search, and vector databases that power retrieval-grounded intelligence.
Red-teaming, guardrails, hallucination suppression, and regulatory alignment for high-stakes deployments.
Detection, segmentation, OCR, and multimodal understanding — deployed to edge and cloud.
Behind every deployment is a team obsessed with latency, reliability, and the quiet victories of production AI done right.
Three leaders. Three disciplines. One obsession: shipping AI that earns its place in production. Meet the operators architecting ReimeiTech's edge.
15+ years shipping ML at Google Brain and Tokyo Financial Hub. Kenji believes intelligence is not a product — it's a posture. He leads ReimeiTech's thesis on building AI that outlives the companies that ship it.
We're not chasing AGI. We're building the infrastructure that runs under it.
A distributed-systems engineer with deep roots in ML infrastructure, Satomune architects every system ReimeiTech deploys — from token budgets to evaluation harnesses. He ensures reproducibility is never sacrificed for velocity.
If you can't measure alignment, you haven't shipped it.
Ready to deploy AI that matters? Write to us with a rough brief — we'll respond within one business day with next steps.
〒617-0853
京都府長岡京市
奥海印寺向イ山24-26
Hankyu Nagaoka-tenjin Station / ~10 min by car
