ADETechnologies

We build AI-powered products that ship.

AI strategy, intelligent automation, and production-grade mobile products for startups and growing teams.

From prototype to production — RAG, AI agents, React Native, Swift, and the infrastructure behind them.

Most teams know they should use AI. Few can take it to production.

Companies get stuck between a promising prototype and a system users can trust. ADE Technologies is the bridge from idea to architecture to build to production — strategy and engineering in the same engagement.

  1. 01

    Idea

    A real business problem, not a demo request.

  2. 02

    Architecture

    Data, models, and product constraints first.

  3. 03

    Build

    Production code with measurable milestones.

  4. 04

    Production

    Shipped, observed, and ready for users.

Where teams typically stall

  • Identifying valuable use cases
  • Integrating AI into existing products
  • Moving prototypes into production
  • Reliability and hallucinations
  • Data architecture
  • Mobile integration
  • Automation that holds up
  • Maintaining AI systems

Three ways to start

Clear commercial offers — not a capability laundry list. Each one includes strategy, engineering, and a path to production.

01

AI Product Sprint

Problem

You have an AI idea, but it is not yet clear whether it should be built — or how.

Solution

A focused engagement that tests the use case, architecture, and first working slice before you commit to a full build.

Deliverables

  • Use-case discovery
  • Technical architecture
  • Rapid prototype
  • LLM / provider evaluation
  • RAG architecture
  • Feasibility assessment
  • Production roadmap

Outcome. Move from idea to a validated working product direction.

Start a Product Sprint

02

AI Automation & Agents

Problem

Repetitive workflows and operational bottlenecks are eating time that should go to the product.

Solution

Intelligent systems that retrieve knowledge, take bounded actions, and keep a human in the loop where it matters.

Deliverables

  • AI agents
  • Internal copilots
  • Workflow automation
  • Document intelligence
  • Knowledge retrieval
  • API integrations
  • Human-in-the-loop workflows

Outcome. Reduce repetitive work and create intelligent operational systems.

Talk Automation

03

Mobile + AI Engineering

Problem

The prototype works in a demo. Production mobile — auth, payments, offline, release — is a different product.

Solution

Production-grade iOS and React Native applications with AI features designed as part of the product, not bolted on.

Deliverables

  • React Native / Expo
  • Swift / SwiftUI
  • TypeScript
  • Backend / API integration
  • AI feature integration
  • Realtime systems
  • Auth, payments, deployment

Outcome. Production-ready applications rather than prototypes that never ship.

Discuss a Mobile Build

Case studies from shipped systems

Real products only. BawoSocial is a founder-built mobile platform — documented here from the engineering record, not from invented metrics.

Flagship · Mobile + backend

BawoSocial

Community groups, events, realtime chat, and tiered access — built from zero to an on-device beta.

Founder-built product · ADE Technologies

  1. Challenge

    Stand up a full social platform — community groups, events, realtime chat, and premium access — as a production mobile product, not a clickable prototype.

  2. Approach

    Founder-led product engineering: architecture, client, and release workflow owned in one place. React Native and Expo for iOS and Android, with TypeScript and a custom design system.

  3. System

    Supabase (PostgreSQL) for data, realtime sync, Edge Functions, and row-level security. Offline-first caching for events and tickets. Stripe for subscriptions. EAS for CI/CD and OTA updates.

  4. Result

    A beta social platform in testers’ hands. No fabricated user or revenue numbers — the work is the architecture, the shipping path, and the product itself.

  • React Native
  • Expo
  • TypeScript
  • Supabase
  • PostgreSQL
  • Edge Functions
  • Realtime
  • Offline-first
  • Auth / RLS
  • Stripe
  • EAS / OTA

Additional client work is under NDA. Ask for private samples on a call.

A short path from problem to production

No theater. Four stages, visually connected, so you always know what we are doing and what comes next.

  1. 01Discover

    Understand the business problem and determine where AI actually creates value.

  2. 02Design

    Define product requirements, architecture, data flows, and technical approach.

  3. 03Build

    Develop the production system with rapid iteration and measurable milestones.

  4. 04Ship

    Deploy, monitor, test, improve, and prepare the system for real users.

Founder-led on purpose

Strategy without execution is a document.
Engineering without product thinking is expensive code.
ADE combines both.

You work with the person who builds

Clients work directly with an experienced product engineer — not a handoff chain of sales, project management, and a rotating bench.

Strategy that survives contact with code

Recommendations are constrained by data, latency, evals, and release reality. If it cannot ship, it is not the plan.

Mobile and AI in the same studio

RAG and agents matter only if they live inside a product people can open. ADE covers the model layer and the iOS / React Native surface.

Alex builds the work himself.

ADE Technologies is a founder-led studio. Alex is a product-focused software engineer with 5+ years shipping mobile and full-stack systems — then applying the same production bar to AI features.

The career history is available for people who want it. This page is about the studio: strategy, architecture, and products that reach real users.

View Engineering Background

Experience across

  • Mobile engineering
  • iOS
  • React Native
  • Product architecture
  • Healthcare technology
  • Consumer products
  • Logistics
  • AI-powered applications

Company names and dates live on the engineering background page and in Sanity — they are not restated here as a résumé.

Tools we actually use

A restrained stack — not a logo wall. Listed only where the repository already supports the work.

AI

  • LLMs
  • RAG
  • AI agents
  • Gemini
  • OpenAI
  • Prompt / context engineering

Mobile

  • React Native
  • Expo
  • Swift
  • SwiftUI
  • TypeScript
  • StoreKit / HealthKit

Backend & data

  • Node.js
  • PostgreSQL
  • Supabase
  • Firebase
  • REST / GraphQL
  • Stripe

Infrastructure & delivery

  • Git
  • CI/CD
  • Fastlane
  • EAS / OTA
  • Expo
  • Xcode

How we think about shipping AI

All insights

Have an AI product or workflow worth building?

Let's figure out what should be built, what shouldn't, and the fastest path to production.

Book a Strategy Call

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Tell us about your project

Practice lead

Alex

Founder · ADE Technologies

alex@adetechnologies.dev

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Short notes on shipping AI in production. No spam.