Part of our custom software development series.
What AI is best for
- LLM-powered features (chat, search, summarization)
- Retrieval-augmented generation (RAG) over your own data
- AI chatbots and support assistants
- Workflow and document automation
- Predictive models and recommendations
What we build with AI
- AI features inside SaaS and web apps
- Internal AI tools that cut manual work
- Chatbots grounded in your knowledge base (RAG)
- Automations that connect AI to your systems
When to choose AI
Choose custom AI development when a generic tool can’t use your data or fit your workflow — for example, an assistant grounded in your own documents (RAG), or automation wired into your systems. Start with a focused, high-value use case (an MVP) to prove ROI before expanding. Most AI features are built on a Python or Node backend with an LLM API.
Cost, timeline and how we work
A AI project follows the same ranges as any custom build — roughly $25,000–$150,000+ over 6–20 weeks. Estimate yours with the cost calculator and timeline estimator. We scope, design, build in sprints, and you own the code — see our software development service and the complete guide to custom software.
FAQ
What can AI developers build?
LLM-powered features (chat, search, summarization), RAG assistants grounded in your data, chatbots, predictive models, and automation wired into your systems.
What is RAG?
Retrieval-augmented generation – grounding an LLM in your own documents/data so answers are accurate and specific to your business.
How much does AI development cost?
Like other custom builds, typically $25,000-$150,000+ depending on scope. Start with a focused MVP to prove ROI – see our MVP guide and cost calculator.
Do I own the AI features you build?
Yes – you own the code and IP. The underlying LLM may be a third-party API, but the integration and product are yours.