Software for startups and enterprises

AonHive builds
custom software
for startups and enterprises.

We design and build mobile apps, web platforms, ERP systems, and cloud-backed software. Hire a dedicated developer, scale to a team, or hand us the full build.

  • React
  • Next.js
  • TypeScript
  • Node.js
  • .NET
  • Angular
  • Vue.js
  • Java
  • Python
  • PHP
  • React Native
  • Flutter
  • Kotlin / Android
  • Swift / iOS
  • Supabase
  • Firebase
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • PostgreSQL
  • MongoDB
  • MySQL
  • Redis
  • Pinecone
  • OpenAI
  • Anthropic Claude
  • n8n
  • LangChain
Engineering stackWeb · Mobile · Cloud · Database · AI

Rotating sphere of technologies AonHive uses, including React, Angular, Vue.js, Java, Python, PHP, Next.js, React Native, Kotlin, Swift, AWS, Azure, Google Cloud, Docker, Kubernetes, Supabase, PostgreSQL, Pinecone, OpenAI, Claude, n8n, and LangChain.

Hire developers

The engineer you need, matched to your stack.

React, Next.js, mobile, cloud, system architecture, DevOps, and design — as a dedicated developer or a full team.

What we build

Eleven practices across mobile, web, ERP systems, cloud, and AI.

Open a practice to see who it fits, what we ship, and the stack we use. The same engineers stay on the thread from the first decision through release.

  1. 01Product engineeringTurn an uncertain product bet into a store-ready or production web system.
  2. 02Web apps and dashboardsBuild enterprise web apps and operational dashboards people can run a business from.
  3. 03ERP systemsMake the business run in one system the team actually uses.
  4. 04Mobile app developmentShip Android and iOS apps people can trust in motion.
  5. 05Automotive infotainment systemsBuild in-vehicle software that stays usable while the car is moving.
  6. 06AI integrationPut useful intelligence into the software you already run.
  7. 07DevOps servicesMake release, environments, and operations a product capability.
  8. 08Cloud modernizationReduce the drag hidden inside critical systems.
  9. 09Data platformsMake trusted information usable where decisions happen.
  10. 10High-performance systemsEngineer the path where latency and reliability matter.
  11. 11Experience engineeringMake difficult work feel clear, fast, and considered.

Applied AI

AI that closes leads, routes orders, and clears invoices — not just chatbots.

See how multi-agent workflows, RAG, and automation fit into the systems your business already runs — including MCP servers for Claude, ChatGPT, and Gemini.

Explore AI solutions
Lead responseMinutes, not days
ERP ordersExtracted and validated automatically
Human oversightBuilt into every workflow

Selected work

A few systems we can show in public.

Most client work stays off this page. These are the write-ups we can walk through in detail.

Client feedback

The review that counts is the one after people use it.

Clear calls, usable increments, and a system the in-house team could keep changing.

Clutch

The team made trade-offs visible early, delivered working increments, and left us with a system our engineers could understand and own.

Technology directorPlatform modernization
Direct

They treated AI as a product decision, not a demo—measuring usefulness, failure paths, and human oversight from the start.

Product founderApplied AI workflow

Technology capability

Technology chosen for fit, longevity, and ownership.

We work across product, mobile, cloud, data, and AI ecosystems—selecting technology for fit, longevity, security, and operating clarity.

Web

Product interfaces, content systems, APIs, and enterprise applications designed to evolve.

  • React
  • Next.js
  • Node.js
  • .NET
  • TypeScript
  • Angular
  • Vue.js
  • Java

Mobile

Native and cross-platform products shaped around devices, interrupted journeys, and dependable releases.

  • React Native
  • Flutter
  • Kotlin / Android
  • Swift / iOS

Cloud

Cloud foundations, managed services, and backend systems selected around ownership and operating reality.

  • Supabase
  • Firebase
  • Google Cloud
  • AWS
  • Microsoft Azure
  • Docker

Database

Relational, document, and vector databases that keep operational and retrieval data trustworthy and usable.

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • pgvector
  • Pinecone
  • Qdrant

AI

Evaluated model capabilities and accountable workflows built around a defined human or business decision.

  • OpenAI
  • Anthropic Claude
  • n8n
  • LangChain

Technology names and marks identify engineering capability only. They do not imply certification, partnership, or endorsement.

How we work

Guesswork comes out in stages, not in a big-bang reveal.

Frame names the bet. Shape makes it tappable. Deliver puts it in production. Evolve hands you the keys.

  1. 01

    Frame

    Name the outcome, users, limits, and what would make this the wrong project. You leave with a brief you could take elsewhere.

  2. 02

    Shape

    Turn uncertainty into screens, a data model, and a first slice you can tap or click.

  3. 03

    Deliver

    Ship production increments with CI/CD, observability, and store or web release as part of the work — not a phase after "dev is done."

  4. 04

    Evolve

    Watch what people actually do. Fix the sharp edges. Transfer repo, runbooks, and cloud access so the next change is yours.

AonHive delivery platform

Five modules that keep delivery connected.

Discover, architect, build, intelligence, and operate — linked so product intent, technical decisions, and operations do not drift apart.

Explore the platform
  1. 01DiscoverClarity before commitment
  2. 02ArchitectConstraints made explicit
  3. 03BuildWorking software, frequently
  4. 04IntelligenceUseful, measured, governable
  5. 05OperateConfidence after launch

What you can check

Four signals you can verify while the work is happening.

Skip the pitch deck. Look for written decisions, running increments, agreed quality bars, and a repo your people can change.

  1. 01
    Engagement signal

    Decisions stay on paper

    Risks, architecture choices, and "we are not doing X" are written in language the whole team can read.

  2. 02
    Engagement signal

    Something runs every cycle

    A preview URL, a TestFlight or Play build, or a dashboard with real data. Not a slide about progress.

  3. 03
    Engagement signal

    Quality has a number

    Latency budgets, accessibility checks, and release gates are agreed before polish week.

  4. 04
    Engagement signal

    Your people can change it

    Types, tests, environments, and docs ship with the product so renaming a field does not require a vendor ticket.

Latest from AonHive

Practical thinking and company updates.

Field notes on product, engineering, and applied intelligence—plus verified news from the company.

Explore Blog & News

Careers at AonHive

For people who care how the whole system works.

We value precise thinking, generous collaboration, and the craft required to leave products stronger than we found them.

View careers

Start a project

Send the version you'd tell a colleague.

Product, who will use it, and the date that matters. We'll reply with the questions that would change the first phase.