Custom AI Development for Products and Internal Tools

When off-the-shelf AI tools cannot do the job, we build it. Lean Discovery Group is a software development company that designs and ships custom AI applications, AI features inside your product, and internal tools built on production-grade infrastructure.

Product team reviewing a custom AI application on a tablet and laptop
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Driving Success with Technological Expertise

Why Choose Lean Discovery Group?

We are a software development firm first, not a prompt shop. Every automation starts with mapping how the work actually gets done today, gets built on production-grade infrastructure, and ships with monitoring, documentation, and a team that maintains it. You own the code, the workflows, and the data, and we never take your IP.

What Is Custom AI Development?

Custom AI development means building software around AI models for your specific data, users, and workflows, rather than adapting your business to a generic tool. It covers AI-powered web and mobile apps, AI features inside existing products, internal tools, and the integrations that connect them.

Custom AI Development Services

We combine product strategy, UX design, and engineering, so what we build is not only technically sound but something your users actually adopt.

AI-Powered Web and Mobile Apps

New products with AI at the core, from intelligent recommendation flows to assistants that guide users through complex decisions.

AI Features for Existing Products

Add search, summarization, recommendations, or copilots to software you already run, without rebuilding it.

Internal AI Tools

Purpose-built tools for your team: quoting assistants, underwriting helpers, proposal generators, and knowledge search over your own documents.

AI Integrations and APIs

Connect AI models to your databases, CRM, and legacy systems with secure, well-documented APIs your team can maintain.

Retrieval and Knowledge Systems

Retrieval-augmented generation (RAG) that grounds AI answers in your data, with source citations and access controls.

Prototypes and MVPs

Validate an AI product idea quickly with a working prototype, using the lean discovery process our firm is named for.

Our Development Process

  1. Discovery. We define users, jobs to be done, success metrics, and the data the AI will rely on.
  2. Design. We prototype the experience and test it with real users before heavy engineering begins.
  3. Build. Agile development in short sprints, with regular demos so you see progress every step of the way.
  4. Evaluate. We measure AI output quality against real examples and tune it before launch.
  5. Launch and support. Deployment, monitoring, documentation, and ongoing improvements after go-live.

Built on Proven Product Experience

Before AI, our team designed and built products like AngleHealth's self-serve insurance enrollment tool, which generates accurate quotes from complex pricing factors, and an intelligent plan recommendation quiz for Agile Health Insurance featured on HealthInsurance.com. That same discipline around accuracy, compliance, and user experience now goes into every AI product we build.

Technology

We build with Anthropic Claude, OpenAI, and Google Gemini models, vector databases for retrieval, and modern stacks including React, Next.js, Node.js, and Python, plus no-code platforms like Bubble when speed matters more than flexibility. You own all code and IP.

Related Services

Explore our full range of AI automation services, including AI agent development and AI consulting.

Selected work

Bankably

Agile Health Insurance

After My Event

AngleHealth

CustomerDiscovery

Glue Up

Cofounderslab

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FAQs

How much does custom AI development cost?

Custom projects start at $10,000. Price depends on scope, number of integrations, and how much evaluation and compliance work the AI needs. We give you a fixed scope and estimate after discovery.

Should we build custom AI or buy an existing tool?

Buy when a tool already fits 80 percent of your needs. Build when AI is part of your competitive advantage, when your data or workflow is unusual, or when off-the-shelf tools cannot meet your security requirements.

Who owns the code and the AI models?

You own all code, prompts, and configuration we create. Model weights belong to the model providers, but your application is portable between providers.

Can you add AI to our existing application?

Yes. Many projects add AI features to software a client already runs. We review your architecture first and integrate without disrupting what works.