TL;DR
We build AI products that work in production. OpenAI, Anthropic, Gemini. Fixed price from $8,000. Ships in 15 days.
What Is an AI MVP
An AI MVP is a product where artificial intelligence is the core feature, not a bolt-on addition. It is not a ChatGPT wrapper or a simple API call with a frontend. Real AI products need production pipelines, error handling, rate limiting, caching, and fallback strategies. They need to handle edge cases gracefully and deliver consistent results at scale. We build AI MVPs that are ready for real users from day one, with the infrastructure to grow as your product gains traction.
Key Insight
Demo AI is easy. Production AI needs error handling, rate limiting, caching, and fallbacks. We build all of it.
What We Build
AI Chatbots
Customer support bots, internal assistants, and conversational interfaces powered by large language models.
Voice Agents
Voice-enabled AI agents for customer service, transcription, and real-time audio processing.
Document AI
PDF ingestion, OCR, vector search, and conversational document interfaces for enterprise workflows.
Recommendation Engines
Personalized content, product, and search recommendations powered by machine learning models.
AI SaaS
Full SaaS products with AI features built in. Authentication, billing, and AI pipeline included.
AI Providers We Work With
We match the right model to each use case for the best balance of cost, speed, and output quality.
Why AI MVPs Fail and How We Avoid It
Overbuilding
Most AI MVPs try to do too much at once. We identify the single AI feature that delivers the most value and build around it. You can always add more capabilities later.
Wrong Model Choice
GPT-4 is not always the answer. We match the right model to your use case, balancing cost, speed, and output quality. Sometimes a smaller model performs better for your specific task.
No Production Pipeline
Demo AI is easy. Production AI needs error handling, rate limiting, caching, and fallbacks. We build all of it so your product works reliably under real-world conditions.
Ignoring Latency
Users will not wait 30 seconds for a response. We optimize inference pipelines for real-world response times with streaming, caching, and efficient prompt engineering.
Watch Out
Choosing GPT-4 for everything is the most expensive mistake in AI development. We match the right model to each use case.
Case Studies
Screenplayer.ai
AI voice and script analysis for the entertainment industry. $20,000+ MRR.
AskDocs
Document AI with vector search and chat. Enterprise-grade PDF ingestion and conversational interface.
ValidateMySaaS
AI-powered SaaS idea validation with market analysis and competitor research.
Pro Tip
Every AI product above was architected, built, and deployed by our team. No wrappers, no templates. Custom AI pipelines built for each use case.
Ready to build an AI product?
Tell us your AI idea. We'll architect it, build it, and ship it to production in 15 days.
Start a ProjectProcess
Discovery
We analyze your AI idea, define the scope, and identify the core AI capabilities your product needs.
AI Architecture
We select the right models, design the data pipeline, and plan the infrastructure for production-grade AI.
Development
Full-stack engineering with AI integrations. Frontend, backend, model pipelines, and error handling included.
Testing
End-to-end testing of AI outputs, edge cases, and performance. We ship reliable AI, not brittle demos.
Launch
Deployment to production with monitoring, logging, and cost tracking for AI API usage.
Pricing
Every AI MVP Includes
- ✓AI model selection and integration
- ✓Production pipeline with error handling
- ✓Rate limiting and caching
- ✓Frontend, backend, and database
- ✓Cloud deployment with monitoring
- ✓API cost tracking dashboard
- ✓Full source code handoff
FAQs
Which AI models do you use?
OpenAI GPT-4, Anthropic Claude, Google Gemini, Hugging Face models, and Whisper. We match the model to the use case for the best balance of cost, speed, and quality.
Can you build with my existing AI infrastructure?
Yes. We integrate with existing APIs, vector databases, and ML pipelines. Whether you use Pinecone, Weaviate, or a custom setup, we work with what you already have.
How do you handle AI costs in production?
We optimize for cost from day one. Caching, model selection, and rate limiting keep API costs predictable. We also implement usage tracking so you always know exactly what you are spending.
Testimonials
“They came up with great ideas that we didn't even think of. They're not only great executors, but great partners.”
George Kosturos
Co-Founder, Screenplayer.ai
“Manoj and his team are skilled and dedicated professionals especially with respect to building AI applications. Highly recommend their services.”
Amrutha
Marketing Manager
“The work delivered was exactly what we needed. Excited to integrate it into MyZone AI Chatbots.”
Shimecki
Founder, MyZone AI
Ready to build an AI product?
Tell us your AI idea. We'll architect it, build it, and ship it to production in 15 days.
Start a Project