Service 03 — Custom AI Software Development
If it needs AI at its core, we build it end to end.
There's an idea you keep coming back to — on walks, in the shower, in a notes app full of half-sketches. It doesn't fit any template, and every agency you've asked wants to flatten it into one. We build it as you imagined it: OpenClaw, Google ADK, LangChain, and LLM pipelines at the core, full-stack engineering around it.
LLM-native architecture
OpenClaw, Google ADK, LangChain, and direct LLM APIs — chosen per problem, not per hype cycle, and designed in from the first diagram.
RAG & knowledge systems
Your documents, data, and history made retrievable and answerable — grounded responses with sources, not hallucinations.
AI agents & automations
Agents that don't just chat — they take actions across your tools, run workflows, and report back on what they did.
Full-stack delivery
Next.js frontends, FastAPI and Node backends, Postgres, deployments — the whole product, not just the model calls.
Production-grade engineering
Auth, roles, security, monitoring, and maintainability handled properly — AI products still have to survive real users.
From architecture to launch
We scope it, design it, build it, ship it, and maintain it — one team accountable for the whole journey.
Built by Cynthius — Alias
Alias: an AI companion platform, accepted into Google's Accelerator
Alias is a custom AI companion platform we engineered end to end — real-time AI characters, memory, and a full product around the models. It was selected for Google's Accelerator Program in Singapore. That's what we mean by custom AI software: not a chatbot widget, a product.
See more case studiesHow We Work
From “here's the idea” to shipped product
01
Understand
We dig into your industry, users, and the job the AI actually has to do — before choosing any tech.
02
Architect
Model choice, agent framework, data flows, and infrastructure — designed for your scale and budget.
03
Build & ship
Full-stack implementation in focused sprints, with working software you can touch every week.
04
Run & improve
Deployment, monitoring, and iteration — AI products get better with real usage, and we stay for that part.