EthosPowerAIDelivery
From a single automation to a whole self-hosted platform. Built on open foundations, on your infrastructure — yours to keep, not rent.
Automations
Stop doing it by hand
Repetitive, manual work between systems that don't talk to each other — tool-to-tool sync, document workflows, approval and handoff chains, data pipelines, notifications, and bridges to legacy systems.
What this looks like in practice
A field engineer's battery discharge-test reports — voltage, temperature, and discharge current across up to 54 battery blocks — captured by voice through a privacy-first AI agent running on the company's own server.
AI Agents
A tireless digital teammate
Customer support agents, data processing agents, workflow agents that orchestrate multi-step processes, knowledge-base agents, research assistants, and drafting or triage agents — grounded in your data, not a generic chatbot. Built on LangChain/LangGraph, Claude, OpenAI, or Ollama, with Qdrant or ChromaDB for retrieval.
What this looks like in practice
An energy-sector company was losing leads to manual follow-up. I built a multi-touchpoint capture system that checks the ERP/CRM for an existing match on email, company, or phone before scoring a lead — deduping merges into the original record, while genuinely new contacts trigger a three-email welcome sequence behind human approval gates.
Websites & Web-Apps
Your public presence, or a tool your team logs into
Marketing websites with built-in AI — chat, semantic search, automated content pipelines, edge deployment (this site is the proof) — and internal tools: dashboards, customer and partner portals, booking and intake apps, data-entry and approval apps, AI-assisted apps. Built on Next.js 15, Payload CMS, the Vercel AI SDK, and Cloudflare Workers. You own the code.
What this looks like in practice
eBatt.ai grew from spreadsheets, through Django web apps, into an AI-native battery-quoting engine. It puts the methods I've used since 1987 designing standby DC power systems into a production tool — designed and built with a highly customised agentic workflow on a current, production-grade stack.
Platforms
The whole system, end-to-end
Data capture, an AI processing layer, a knowledge store, operational records, automation and follow-up, and self-hosted infrastructure — architected and built as one system, not a collection of point tools. Scoped to your system, discovery-first.
What this looks like in practice
An engineering consultancy held decades of reports and design documents, and wanted its people to search that archive with AI — without exposing proprietary knowledge to cloud models or anyone outside the firm. I built a self-hosted RAG knowledge base with enterprise document management, end-to-end encryption, and complete data sovereignty.
All prices in USD (converted from NZD), exclusive of GST. Advisory rate: $130/hr.
Not sure which of these fits?
Every engagement starts with a conversation, not a quote. I'll tell you honestly if a smaller automation solves it before I pitch you a platform.