Agentic engineering
Production multi-agent dev workflows that compress delivery time without sacrificing quality.
Services
From agentic delivery to model training and inference at scale — the full product surface, owned by senior engineers. Here’s what we build and how we make it 10× faster.
01 Capabilities
Production multi-agent dev workflows that compress delivery time without sacrificing quality.
Model training and fine-tuning in PyTorch & TensorFlow; open-model tuning for your data and domain.
Reliable multi-agent systems and orchestration that do real work in production, not chat demos.
Local AI infra, GPU orchestration, and inference optimization — 30–50% cost-per-token cuts, USPTO-patented routing.
Production-grade frontends and design systems — accessible, fast, and built to ship, not to demo.
Native and cross-platform iOS / Android, from MVP to scale.
02 Why 10× isn’t a slogan
Engineers running multi-agent AI pipelines (Claude Code, Codex) in production daily. One engineer ships what used to take a team — reliably, not as a demo.
Every line owned by a senior engineer who understands architecture, testing, security, and scale. AI writes fast; our people make sure it’s right.
The hard parts most "AI shops" can’t do: model training (PyTorch, TensorFlow), fine-tuning open weights, local inference, and LLM agent swarms.
Polished web frontends, iOS & Android apps, cloud and DevOps — the entire product surface, not just the model.
03 How we work
Drop our AI-native pods into your team — by the hour or month. You keep control; you get 10× throughput, without a six-month hiring cycle. Scale up or down anytime.
Best for: startups & scale-ups with a roadmap and not enough hands.
Hand us a defined outcome; we ship it end-to-end. Fixed scope, fixed quote, senior ownership, production quality — plus the AI/ML depth and patented inference infra.
Best for: companies that want a result, not a headcount.
A 15-minute scoping call — with a senior engineer, not a salesperson. Or start it right here, on the record.