AI-powered apps that create real business value
We build production-ready AI applications - from intelligent search to generative features - that users actually want to use. No demos, no experiments. Just working software.
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Most AI projects never make it to production
The gap between a ChatGPT wrapper and a product people pay for is wider than most teams expect.
Demo-to-production gap
Impressive demos that fall apart under real user load, edge cases, and actual production data. Looks great, ships never.
Hallucination & reliability
AI outputs that are confident and wrong. No guardrails, no fallbacks, no way to know when the model is making things up.
Cost spirals out of control
Token costs that made sense in testing exploding at scale. No caching, no optimization, no budget ceiling built in.
No AI expertise on team
Engineering teams that know how to call an API but not how to pick the right model, fine-tune prompts, or evaluate quality.
Production AI apps, not just prototypes
End-to-end AI development with the guardrails, evaluation, and infrastructure real products need.
LLM Integration
OpenAI, Anthropic, Gemini, and open-source models integrated and evaluated for your specific use case.
RAG & Semantic Search
Retrieval-augmented generation with vector databases so your AI always works with your actual data.
Guardrails & Safety
Output validation, content filtering, fallback logic, and human-in-the-loop for high-stakes decisions.
Streaming & Real-Time
Streamed AI responses that feel instant, with proper loading states and graceful error handling.
Evaluation & Monitoring
Track quality, latency, and cost per generation. Catch regressions before users do.
Multi-Modal Support
Text, images, audio, and documents - AI that handles the full range of content your users throw at it.
How we ship AI products
A disciplined process that gets AI from idea to production with confidence.
Use Case Definition
Define the AI use case, success metrics, and evaluation criteria. Choose the right model and architecture before writing code.
Prototype & Evaluate
Build a working prototype with real data and evaluate quality systematically. Iterate on prompts, models, and retrieval.
Build & Harden
Productionize the prototype with proper error handling, cost controls, caching, and monitoring.
Ship & Improve
Deploy with feature flags, collect user feedback, and continuously improve model performance and cost efficiency.
AI app development pricing
From proof of concept to full production system.
AI Feature
Add AI to your existing product
- Single AI feature
- LLM integration
- Prompt engineering
- Basic guardrails
- Cost monitoring
- Documentation
- 30 days support
AI Product
Full AI-native application
- Full AI application
- RAG & vector search
- Streaming UI
- Evaluation framework
- Cost optimization
- Admin controls
- 90 days support
AI Platform
Enterprise-grade AI infrastructure
- Multi-model architecture
- Fine-tuning & RLHF
- Self-hosted options
- Advanced observability
- Compliance & audit logs
- Dedicated AI engineer
- 12 months support
Ready to ship your AI application?
Tell us what you want to build and we'll scope out a plan to get it to production.