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Custom AI Software & Products

From AI idea to shipped product.

When off-the-shelf agents aren't enough, we design and build custom AI software: internal copilots, search over your company data (RAG), AI features in your product, and the web and mobile apps around them.

  • RAG & copilots
  • Web & mobile apps
  • IT & cloud optimisation
copilot · internal_kb
live
  1. query "refund policy for annual plans?"
  2. retrieve(top_k=5) → policy.pdf, faq.md
  3. answer.ground(sources) → 2 citations
  4. Answer returned with sources
  5. feedback → logged for evaluation
Data: Stays in your cloudEvals: Continuous

Quick answer

What is custom AI software development?

Custom AI software development means building AI features and products around your own data and processes: internal copilots that answer from company documents (RAG), AI features inside your app, multi-agent systems, and the web, mobile and cloud software around them. It's used when off-the-shelf tools don't fit.

Last reviewed · Dexorn Technologies

Key facts

  • RAG copilots that cite their sources
  • Model-agnostic architecture (OpenAI, Claude, Gemini and others)
  • Full-stack web and mobile engineering
  • Evaluation, security and access control built in

The job it does

Three jobs, done reliably

Copilots, RAG search, AI-powered web and mobile apps, built end to end.

Search your company's knowledge

Copilots that answer from your documents, tickets and databases, with sources cited.

AI inside your product

Add AI features to your app, from smart search to automated workflows and assistants.

Full product engineering

Web apps, mobile apps, APIs and cloud: the software around the AI, built properly.

Before and after

What changes for your team

Comparison of the process before and after a Dexorn agent
 TodayWith a Dexorn agent
Finding answersSearching drives and asking colleaguesAsk once, get a cited answer
AI roadmapExperiments that never shipProduction features with monitoring
Software spendUnused licences and cloud wasteOptimised with IT asset management
Vendor lock-inOne model, one vendorModel-agnostic architecture

How it works

Architecture, in plain terms

  1. 01

    Your data

    Docs, databases, tickets, APIs

  2. 02

    Retrieval

    Indexing, embeddings and access control

  3. 03

    AI layer

    LLMs, agents, evaluations and guardrails

  4. 04

    Product

    Web, mobile, Slack/Teams or API

Use cases

Where teams use it

Support teams

Agent-assist copilots that draft replies from your knowledge base.

Operations

Predictive analytics and maintenance alerts.

Startups

AI MVPs, from prototype to production.

IT & finance

Software licence optimisation and cloud cost reviews (ITAM).

Beyond AI

Also part of custom engagements

Software engineering

  • Web applications (Next.js, React)
  • Mobile apps (iOS, Android, React Native, Flutter)
  • APIs and integrations
  • Cloud migration and DevOps
  • Legacy system modernisation

IT asset & cloud optimisation

  • Software asset management (SAM)
  • Licence reviews and compliance
  • Audit defence support
  • Cloud cost optimisation (FinOps)
  • Vendor and renewal optimisation
Pilot offer

One agent, one use case, live in 2–4 weeks.

A fixed-scope pilot on your real data. You see results before deciding on a wider rollout. Every pilot includes:

  • Discovery and solution architecture
  • Data readiness assessment
  • Working prototype on your data
  • Evaluation plan and success metrics
  • Security and access-control design
  • Roadmap to production

Start with a free AI audit

Tell us what you want to automate. An engineer replies within one business day.

e.g. “We miss 30% of calls after 7pm” or “Our team types invoice data into Tally by hand.”

We never share your details. NDA on request.

Works with

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Azure
  • AWS
  • Next.js / React
  • React Native / Flutter
  • PostgreSQL / MongoDB

FAQ

Questions we get asked

Do you only build AI, or the whole app?

The whole thing: web and mobile apps, APIs, integrations, cloud and DevOps. AI is usually one part of a larger product.

Which model do you use?

Whichever fits the job on quality, cost, latency and data rules. We design systems so you can switch models later.

Do you still offer IT Asset Management services?

Yes. Software asset management, licence reviews, audit support and cloud cost optimisation are part of our custom engagements.

Free AI audit

Find out where AI pays off in your business.

A 30-minute call with our engineers. We map your processes, pick the first agent worth building and tell you honestly if AI isn't the answer.

No slides. No obligation. Replies within one business day.