
The whole trip. In one place.
Public trips you can find by where you are. Private trips for the people you already trust. An AI that already knows the group — food, views, budget, the weather — and can write the day.
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.
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
React, Next.js, mobile, cloud, system architecture, DevOps, and design — as a dedicated developer or a full team.
What we build
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.
Selected work
Most client work stays off this page. These are the write-ups we can walk through in detail.

Public trips you can find by where you are. Private trips for the people you already trust. An AI that already knows the group — food, views, budget, the weather — and can write the day.

Sevenco is a chauffeur marketplace for people who already own the car. We built the rider app, the driver app, and the backend that requests a verified chauffeur, follows them in, and closes the trip.
Client feedback
Clear calls, usable increments, and a system the in-house team could keep changing.
“AonHive brought structure to a difficult product problem and kept every technical decision connected to the operating reality.”
“The team made trade-offs visible early, delivered working increments, and left us with a system our engineers could understand and own.”
“They treated AI as a product decision, not a demo—measuring usefulness, failure paths, and human oversight from the start.”
Technology capability
We work across product, mobile, cloud, data, and AI ecosystems—selecting technology for fit, longevity, security, and operating clarity.
Product interfaces, content systems, APIs, and enterprise applications designed to evolve.
Native and cross-platform products shaped around devices, interrupted journeys, and dependable releases.
Cloud foundations, managed services, and backend systems selected around ownership and operating reality.
Relational, document, and vector databases that keep operational and retrieval data trustworthy and usable.
Evaluated model capabilities and accountable workflows built around a defined human or business decision.
Technology names and marks identify engineering capability only. They do not imply certification, partnership, or endorsement.
How we work
Frame names the bet. Shape makes it tappable. Deliver puts it in production. Evolve hands you the keys.
Name the outcome, users, limits, and what would make this the wrong project. You leave with a brief you could take elsewhere.
Turn uncertainty into screens, a data model, and a first slice you can tap or click.
Ship production increments with CI/CD, observability, and store or web release as part of the work — not a phase after "dev is done."
Watch what people actually do. Fix the sharp edges. Transfer repo, runbooks, and cloud access so the next change is yours.
What you can check
Skip the pitch deck. Look for written decisions, running increments, agreed quality bars, and a repo your people can change.
Risks, architecture choices, and "we are not doing X" are written in language the whole team can read.
A preview URL, a TestFlight or Play build, or a dashboard with real data. Not a slide about progress.
Latency budgets, accessibility checks, and release gates are agreed before polish week.
Types, tests, environments, and docs ship with the product so renaming a field does not require a vendor ticket.
Latest from AonHive
Field notes on product, engineering, and applied intelligence—plus verified news from the company.
Explore Blog & NewsA practical way to connect product behavior, system constraints, observability, and ownership before launch turns hidden assumptions into production work.
Move AI work beyond impressive examples by defining the decision, representative cases, failure boundaries, and human oversight before scaling the workflow.
A preview of the standard AonHive intends to use for company updates: specific changes, useful context, responsible attribution, and no manufactured momentum.
Start a project
Product, who will use it, and the date that matters. We'll reply with the questions that would change the first phase.