Rapid AI MVP Development in Los Angeles
From idea to AI MVP in record time
Validate your product vision, wow early adopters and attract investors with a fully-functioning generative-AI web application built on Ruby on Rails — shipped in as little as 14 days for a predictable flat fee.
What Our Clients Say
We were a company in need of a website and contacted Los Angeles AI Apps for help. They helped us with our E-Commerce Store via a well-organized and easy to navigate site. The database was a big help to our company as sales for companies and schools are easily tracked. They are always available to help with problem solving and to help effectively manage our inventory.

4+
AI app concepts delivered
2 weeks
Average time-to-launch
$1k
Flat weekly rate
Why launch an AI MVP first?
Validate market demand
Ship early, gather real-world feedback, and confirm users will pay for your AI-powered solution before investing heavily.
Reduce development risk
A thin-slice AI MVP lets you iterate quickly while avoiding costly scope creep and tech bloat.
Attract investors faster
Demonstrate traction with a live AI product and data-backed usage metrics instead of a slide deck.
Own your IP
We build on open-source Rails and can self-host LLMs, so you keep full control of your source code & data.
Scale on demand
Our architecture runs cost-effectively on Hetzner or AWS today and scales horizontally when your user base explodes.
Leverage generative-AI expertise
We have deep experience with all of the latest developments in AI, including RAG, MCP, and new LLMs.
Concept
The Digital Press
A daily AI-powered newsletter that curates the most compelling stories—from Hacker News to Arxiv—via scheduled API pulls, semantic filters, LLM-driven curation & summaries, and final editor-in-chief publication—delivered with your morning coffee.
Built with

Want to learn more?
Check out our latest insights.
Our 4-week AI MVP Roadmap
-
1. Discovery & Scoping (Days 1-2)
Conduct an intensive workshop to identify your core AI use-case, map essential user journeys, and finalize a streamlined feature set.
-
2. Prototype & Model Integration (Days 3-7)
Quickly build a Rails-based prototype, set up your vector database, refine prompts, and validate your unique AI capabilities.
-
3. Private Beta (Weeks 2-3)
Onboard early adopters, gather feedback and analytics, reinforce security measures, and optimize model performance for speed and cost-efficiency.
-
4. Launch & Iterate (Week 4 +)
Deploy your MVP to production, provide detailed documentation and a robust CI/CD pipeline, and deliver impactful feature enhancements on a weekly basis.
Frequently Asked Questions
What exactly is an AI MVP?
Why do you use Ruby on Rails for AI applications?
Can I continue development after the MVP is live?
How do you keep operating costs low?
Ready to build your AI MVP?
Let’s turn your concept into a functioning AI application your users can love—and investors can rally behind—in just a few weeks.
Book a free consultation