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Custom AI Application

A full application — frontend, backend, database and AI layer — built around a specific need.

Sometimes the right answer isn't a workflow layered onto your existing systems — it's a purpose-built application people use directly. We design and build full-stack AI applications: a real product with a frontend, a backend, a database and an AI layer that understands, reasons and acts, integrated with whatever systems it needs to work with.

The workflow

Not every AI need fits inside an existing tool. Sometimes the right solution is a new, purpose-built application — a portal, an internal tool, a customer-facing product — with an AI layer as a core part of it, not bolted on afterward. Building that well means the application architecture and the AI reasoning have to be designed together from the start.

How the application's AI layer understands, reasons and acts inside the product

Where it fits

Illustrative applications across common business functions — not a list of confirmed client deployments.

Internal tools for teams with a specific, repeated needCustomer-facing AI-powered productsPurpose-built dashboards with an AI reasoning layerPortals that combine data from several existing systemsAI-assisted internal review or approval applicationsProducts that didn't have an off-the-shelf tool to fit them
From manual to measurable.

Before

  • No existing tool does the specific job needed
  • AI bolted onto a spreadsheet or generic tool as a workaround
  • Data scattered across ad hoc files and tools
  • No dedicated interface for the people who need one
  • Hard to extend or maintain over time
→

After

  • A purpose-built application with the AI layer designed in from the start
  • A proper frontend, backend and database, not a workaround
  • Data structured and owned inside the application
  • An interface built for exactly how the team works
  • A maintainable product that can be extended as needs grow

How we deliver it

01

Discover & Scope

We define who uses the application, what it needs to do, and where the AI layer creates the core value.

02

Design

We design the user experience and the system architecture together, so the AI layer is built into the product, not added on afterward.

03

Build

We build the full stack — frontend, backend, database and AI layer — and connect it to the systems it needs to work with.

04

Test & Launch

We test against real usage and edge cases, then launch with monitoring and tracing in place from day one.

05

Support & Iterate

We support the application in production and extend it as usage and requirements evolve.

Technology choices

The specific tools and frameworks we use to build and run this — selected per project, not fixed to one vendor.

Frontend

ReactNext.jsResponsive, accessible UI

Backend

Node.jsPythonREST / API layer

Database

PostgreSQLVector databases for retrieval

AI layer

LangChainLangGraphCommercial, open-source or private model APIs

Integrations

Your existing systems via API, webhook or connector

What changes for your team?

A product built for exactly the job at hand
AI reasoning integrated into the experience, not bolted on
A proper data layer instead of scattered files and tools
An interface designed for the people who use it
Full audit trail of what the AI did and why
A maintainable foundation that can grow with your needs

These are value dimensions we design for, not guaranteed figures. Any metric shown elsewhere is illustrative unless labelled as based on client or project data.

This is a real application, not a prototype — a proper frontend, backend, database and AI layer, built and supported the way production software is.

Works with your systems

Your existing systems via APISalesforceMicrosoft 365Custom internal toolsSSO / identity providers

Configured for your business

We configure this solution around the way your organisation already operates.

User roles and permissionsBusiness rules and logicBranding and interfaceIntegrations with your systemsHosting environment

Technology that fits your environment.

We combine modern AI frameworks such as LangChain, LangGraph, LlamaIndex, PydanticAI and agent frameworks with FastAPI, vector databases, guardrails and evaluation tooling, alongside enterprise platforms including Appian, Camunda, Power Apps, Power Automate, n8n and Zapier to build production-ready AI solutions.

AI frameworks & agents
LangChain, LangGraph, LlamaIndex, PydanticAI, Agent frameworks
Engineering & AI infrastructure
FastAPI, Vector databases, Evaluation tooling, Python, Open models
Governance & guardrails
AI governance, Guardrails, Evaluation, Monitoring, Human review
Enterprise platforms
Appian, Camunda, Power Apps, Power Automate
Automation platforms
n8n, Zapier

Talk through your process.

We'll come prepared with ideas for where we can help.

Scope a custom AI application