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IronbridgeAI

Custom AI Web App Development

Custom AI web app development, from first prototype to production.

Custom AI web app development from Ironbridge AI Advisory is a build service for companies that need software shaped to their own workflow, with AI as part of how it works. Our senior team handles discovery, design, engineering, launch and ongoing upkeep for one flat monthly fee, month to month, and you own the code and the data. If you are still weighing build against buy, read our custom AI applications guide first.

View straight up from underneath the Iron Bridge's ironwork

What we deliver

A production application, not a demo. Each build includes these six parts.

Product design

Screens and flows designed around the people who will use the app, in your brand, with no third-party logos in front of your team or clients.

Frontend and backend

A React and TypeScript interface on a real database with authentication, roles and permissions from the first version.

The AI layer

Retrieval over your documents, agents that take actions, and routing of each task to the model that handles it best for the cost.

Integrations

Two-way connections to tools such as Microsoft 365, Google Workspace, Salesforce, HubSpot, Slack, Stripe and QuickBooks, or anything with an API.

Security and testing

Access rules enforced in the database, defenses against prompt injection and data leakage, automated tests and a review before launch.

Monitoring and upkeep

Errors, AI responses and costs are logged. We fix what breaks and keep shipping changes after launch as part of the fee.

How the engagement runs

Short cycles with you in the room, so you react to working software instead of documents.

  1. 1

    Discovery

    We map the workflow with the people who do it and agree on the one job the first version must do well.

  2. 2

    Clickable prototype

    Real screens on real data, early. You find out what is wrong with the idea while it is still cheap to change.

  3. 3

    Build in rounds

    Features ship in short rounds. Users give feedback on each round and it shapes the next one.

  4. 4

    Data migration

    Records, files and history moved from the old system and verified, so nothing is lost at cutover.

  5. 5

    Launch

    Production deployment on your domain with monitoring, backups and access controls in place.

  6. 6

    Operate and extend

    We maintain the app, watch how it is used and build the next features from a ranked list we review with you.

Types of apps we build

Internal tools and customer-facing products.

Custom CRMs and revenue portals
Pipelines, quote builders, renewal tracking and activity logs built to your sales motion, with AI filing emails and calls to the right deal.
Client portals
Branded self-service portals with documents, recordings, AI recaps and account history.
Internal tools
Admin panels, approval workflows, inventory trackers and operations control centers.
AI dashboards
Live reporting across systems with plain-English questions over your data and alerts when something changes.
Knowledge base platforms
Search across company documents, procedures and training material, with cited answers.
Data processing tools
Intake, validation, transformation and export under your business rules, with AI reading the unstructured parts.

How we ship quickly without cutting corners

AI-assisted engineering

Our engineers use AI coding tools to produce and revise code faster, with a senior person reviewing what goes to production.

A stack your future engineers will know

React, TypeScript, Tailwind, Supabase and other widely used tools. Nothing proprietary to us.

Feedback in rounds

One of our CRM builds for a sales team shipped in weekly rounds of feedback from the reps who used it. That rhythm is how we work by default.

Verified migrations

For one client portal we moved 214 recordings and 504 files and checked each one byte for byte before the old platform was retired.

What you own

The code

The repository is yours, in an account registered to your company.

The data

Your database and files sit in your own cloud accounts under your access rules.

No per-seat pricing

Adding users does not change what you pay us. The fee covers the team, not the headcount using the app.

A clean exit

The engagement is month to month. If you move on, you keep everything and we hand over documentation.

What a finished build looks like

  • An application in production on your domain, used daily by the team it was built for
  • Old data migrated and verified, and the system it replaced switched off
  • AI features that are logged, tested and measured, not a black box
  • Code, data and accounts owned by you

Questions we get asked

What does custom AI web app development include?

With Ironbridge it includes discovery, product design, frontend and backend engineering, the AI layer, integrations, security review, data migration, launch and ongoing upkeep. One senior team does all of it for a flat monthly fee.

How long does it take to build a custom AI web app?

A clickable prototype comes early in the engagement, and a production version of a single workflow follows in rounds. The total depends on integrations, data migration and security requirements, which we size during discovery.

What tech stack do you use?

Typically React, TypeScript, Tailwind and Supabase, deployed on a mainstream cloud host, with models from OpenAI, Anthropic, Google or open-source providers behind a gateway so a provider can be swapped.

Do we own the app and the source code?

Yes. You own the code, the data and the infrastructure, and there is no per-seat pricing or license to us.

Can you replace a system we already use, like a CRM?

Yes. We have replaced a Salesforce setup with a purpose-built revenue portal and retired a paid community platform with a client portal, including full data migration. Our case studies page describes both.

How much does custom AI web app development cost?

One flat monthly fee, month to month, scoped on a strategy call against what you want built. There is no large upfront project fee and no separate maintenance contract.

What happens after the app launches?

We keep running it: monitoring, fixes, model updates and new features from a ranked list. Most apps change the most in the months after real users start working in them.

Last reviewed by the Ironbridge AI Advisory team.

Ready to build your custom app?

Book a strategy call, tell us what you need, and we will show you what a first prototype would cover.