Applied AI you own from day one
We help small and mid-size businesses move beyond AI experiments: agents, RAG, automation and MLOps — deployed on your servers, in the cloud you pick, or both. Production-grade, auditable, and under your control.
> you send a request — > we reply with a full plan & costs — > contract is B2B. No lock-in.
$ systemctl status commitments.target — active
to a working pilot on your real data
to a full implementation plan & cost estimate — free
of the code we build and your data — yours at handover
vendor lock-in — everything runs and stays on your servers
{ SERVICES }
What we build for you
From a first AI use case to a governed production platform — one senior team across strategy and implementation.
Business & AI analysis
We research your processes, find where AI delivers measurable gains, and give you a detailed map — before you spend your money on anything.
AI agents & RAG
Custom agents on LLM, computer-vision and generative models, retrieval-augmented apps over your documents — real workflows, not chat demos.
MLOps & pipelines
Cloud-native or self-hosted ML pipelines, evaluation, versioning and monitoring — so your AI stays reproducible and auditable after launch.
Local AI hardware
Sizing, selection and assembly of GPU servers tailored to your AI workloads — full data sovereignty, no per-token cloud bills, on-site support.
Process automation
Modern AI layered onto your existing tools — ERP, CRM, email, ticketing. Repetitive work becomes an agent pipeline you supervise. Human-in-the-loop by design.
Governed AI
AI used responsibly: access boundaries, logging, reviewable decisions and data residency. We define governance that fits your company size — not enterprise theater.
{ HOW WE WORK }
From your request to production — on a short leash
Send a development request, get a complete implementation plan with costs. Happy? We sign a B2B contract and ship.
Discovery
day 0–1You describe the problem. We assess the project, ask clarifying questions and give you an answer on implementation.
Plan & quote
up to 5 daysFull implementation plan: architecture, milestones, timeline, transparent costs. Free of charge.
Pilot
from 2 weeksA working pilot on your real data. Value proven before any full-rollout decision is made.
Production
B2B contractRollout with monitoring and SLA — local, cloud or hybrid. Handover includes everything.
At every step the code we write and your data belong to you. Leave anytime, taking it all. The AI models are open-source or from leading providers (Anthropic, OpenAI) — you use them under their licenses, on your hardware or in your cloud.
{ THE ENTRY POINTS }
Start wherever you are
Three ways in — each one ends with something working and owned by you, not a slide deck.
01 / analyze
AI opportunity scan
A working session plus a short sprint on your data: use cases ranked by ROI, effort and risk — with a build/don't-build verdict on each.
02 / pilot
Pilot on your data
We build one high-value workflow live on your real data — an agent, a RAG app, a vision pipeline — evaluated and auditable from the start.
03 / build
Full production build
End-to-end system under a B2B contract: infra (local GPU, cloud or hybrid), models, integrations, MLOps, docs and your team trained to run it.
{ TEAM }
Senior engineers, one discipline: applied AI
Years of hands-on work in software engineering, hardware build-out and AI systems — LLMs, computer vision and generative models in production, not in demos. We bridge strategy and implementation so you move from experimentation to measurable, reliable outcomes.
{ TALK TO US }
Start a conversation. Not a demo.
Tell us what you run, what you have tried, and what you need next. We answer with a full implementation plan and costs — or an honest no, fast.
build@localaifor.com$ next step after the plan → B2B contract → build.
$ reply time: within 2 business days.