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Rated a top app development company on Clutch

Helping Executives and Founders Do
Better Business Today.

Twelve case studies in the archive, spanning connected hardware, multi-site infrastructure and the daily operations of a workforce.

TRUSTED BY
200+ BUSINESSES

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Clutch Top app development company

A demo vs. a working AI product?

Most AI pilots impress in a meeting and then stall. The gap is a lot of little things: clean data, the right model for the cost, an interface people trust, and a way to measure whether the answers are actually right.

We have built those pieces into our process, so AI lands inside your existing product or workflow, runs on your data, and keeps earning its place long after launch.

An O2SOFT engineer building an AI product

Six ways this work usually lands.

Every engagement is one of these, or a combination. Each has a defined starting point, so nothing begins with an open-ended research phase.

AI inside an existing product

The core build. Web, mobile and custom systems delivered by a team that owns the outcome, not just the ticket.

AI and automation

Practical AI work: the manual steps between your systems removed, and intelligence added to products already in production.

Modernisation and support

For systems that already run the business but are starting to hold it back. We move them without stopping the business.

AI inside an existing product

The core build. Web, mobile and custom systems delivered by a team that owns the outcome, not just the ticket.

AI and automation

Practical AI work: the manual steps between your systems removed, and intelligence added to products already in production.

Modernisation and support

For systems that already run the business but are starting to hold it back. We move them without stopping the business.

Who you actually work with.

A small team assigned to your project rather than a resource pool. You meet them in the workshop and they stay on the build, which is why we keep the group deliberately narrow.

Same people through the proof of concept and production. No handover to a delivery team you have never spoken to.

AI engineer
Model selection, prompting, evaluation, and the accuracy numbers you are shown
Backend engineer
Integration with your systems, APIs, permissions and the production path
Data engineer
Pipelines, cleaning and the retrieval layer the model reads from
Product designer
Where the output surfaces in the interface, and how a person overrides it
QA engineer
Regression on the non-AI parts, plus the evaluation set that catches drift
Delivery lead
Your single point of contact, in your time zone, accountable for the dates

Three gates, and you can stop at any of them.

No open-ended retainer to find out whether AI helps. Each phase ends with a decision point where walking away costs you nothing further.

Phase 1 · One day, free

Workshop and scope

We sit with the team that owns the process, find the one workflow worth attacking first, and check whether the data to support it exists.

  • Prioritised list of use cases
  • Data readiness check
  • Indicative cost and timeline
Gate: is there a case worth building
Phase 2 · Four to six weeks

Proof of concept

A working build on your data, measured against criteria we agreed before starting, so the result is a number and not an opinion.

  • Functioning prototype
  • Accuracy and cost per run
  • Production plan, or an honest no
Gate: does it clear the bar
Phase 3 · Eight weeks onward

Production and support

The prototype rebuilt properly: integrated, permissioned, monitored, documented and handed to whoever will own it.

  • Integration with live systems
  • Monitoring, logging, cost caps
  • Team training and handover
Gate: ongoing support, or you take it

Smart, automatic water disinfection, controlled from anywhere

Challenge
Disinfection units ran blind. Faults were found on site visits, days after they happened.
Solution
Connected hardware to a cloud platform with live dosing telemetry, thresholds and alerting.
Read the case study
Crystal hands sculpture

Worth a conversation, or worth skipping.

We would rather lose the project than take one that cannot work. Here is the honest split, based on the AI work we have actually delivered.

Bring us in when

  • A team spends hours every week moving the same data between systems by hand.
  • Your product already has users, and intelligence would make it measurably better rather than merely newer.
  • Support or operations volume is growing faster than you can hire for it.
  • You have documents, tickets, transcripts or logs sitting unused, and answers are buried in them.
  • A pilot was built, it worked in a demo, and nobody could get it into production.

Come back later when

  • The goal is to have AI rather than to fix something specific. We will help you find the specific thing first, in the workshop.
  • The data lives in three disconnected systems with no owner. That is a data engineering project, and it comes before the model.
  • The process being automated is not written down anywhere, because nothing can be automated that nobody can describe.
  • The output has to be right every single time with no human in the loop, in a regulated setting. We will say so rather than promise it.

Real products. Real businesses. Real numbers.

Twelve case studies in the archive. These three show the range: connected hardware, multi-site infrastructure, and the daily operations of a workforce.

See all projects

Technology for the industries that keep business moving.

Each of these is backed by shipped work, not a capability claim. The client project is named on every card.

What we build on.

Chosen per project against cost, data residency and what your team can maintain after we leave, not by preference.

Models

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Open-weight models, self-hosted
  • Fine-tuned smaller models

Application layer

  • Python, FastAPI
  • Node.js, TypeScript
  • React, Next.js
  • React Native
  • REST and event-driven APIs

Data

  • PostgreSQL, pgvector
  • MongoDB
  • Pinecone, Qdrant
  • BigQuery, Snowflake
  • Redis, queues

Run and observe

  • AWS
  • Azure
  • Google Cloud
  • Docker, Kubernetes
  • CI/CD pipelines

What we build

  • Assistants and chatbots
  • Search and retrieval (RAG)
  • Document understanding
  • Forecasting and scoring
  • Workflow automation

Safety and evaluation

  • Evaluation harnesses
  • Guardrails and PII redaction
  • Human-in-the-loop review
  • Cost and usage monitoring
  • Drift alerts

Where your data cannot leave your own infrastructure, the whole stack runs inside it, including the model.

Launch Your Next AI Project with Top AI Developers

Get a free consultation with our engineering team. No commitment, no pressure, just expert advice on your next project.

Schedule a Free Consultation

Don't take our word for it.

★★★★★
5.0 rating from verified Clutch reviews
★★★★★

They truly went above and beyond everything that we asked of them. In many ways it felt like they had become members of the team as they worked with us through a rigorous testing process to ensure that the app worked seamlessly.

AF
Avery Faller
Co-founder & CTO, Roammeo
★★★★★

I cannot recommend O2SOFT enough. They have been fantastic to work with, reliable and very knowledgeable about the whole app building and submission process.

AT
Amelia Trumble
Founder & CEO, GoWhereTheyGo
★★★★★

A job well done. They are true professionals, quick to understand what is needed, think ahead, ask the right questions, respond quickly, and will do what it takes to ensure client satisfaction.

TT
Thorsten Trotzenberg
Founding Partner, 3Gen Inc.
★★★★★

A great team to work with. Very flexible and understanding. They always made themselves available and provided great ideas in solving the many problems we encountered during the course of the project. Highly recommended!

OF
Oladeji Famakinwa
Project Manager, Shoppi.ng
$10M
Revenue earned by client products
200+
Web & mobile products shipped
1M+
People using our builds every day

Everything You Need to Know

Can't find what you're looking for?

Web development, mobile app development, custom software development, and UI/UX design — plus the strategy and discovery work needed to make sure we're building the right thing before we build anything at all.

We spend a full day with your team to understand the business problem, map out the user journey, define scope and deliver a project plan with estimated cost and timeline. You walk away with a document you can use with any agency.

Retail, travel, real estate, education, hospitality and IoT. Each backed by shipped client work — see our case studies for the details.

We offer three models: dedicated team (monthly), fixed-price project (lump sum), and offshore delivery centre (headcount-based). The right one depends on scope certainty and timeline — we'll recommend during the first call.

Yes. We sign NDAs as standard practice before any detailed discussion. Just ask during the first conversation and we'll send ours or sign yours.

We send a summary of what we discussed, a rough scope estimate and a recommendation for the next step — usually a workshop or a detailed proposal. No pressure, no follow-up sequence.

What we are learning, written down.

Notes from delivery, not marketing posts. Read the blog

Have a product in mind?
Let's build it.

Whether you are starting from an idea or rescuing something already in flight, the first conversation is free and useful either way.

ISO 27001 Certified
AWS Partner
Google Reviews 4.9 ★ Rating
No sales sequence. One reply from the person who would scope the work.