02 / Service
AI Native
Development
Products designed from the ground up with AI at the core. Not added as an afterthought. Built in from the start.
Intelligence at the Core
AI isn't a feature. It's the foundation. Every architectural decision considers how intelligence flows through your product.
Performance That Feels Right
Real-time inference, optimized models, and smart caching. Your AI features feel responsive and natural to use.
Responsible by Design
Guardrails, monitoring, and safety built in from day one. AI that's both powerful and trustworthy.
Built to Evolve
Models change fast. Your architecture is designed to adapt, upgrade, and improve without major rebuilds.
Full-stack AI
capabilities
We handle everything from model selection to production deployment. LLMs, embeddings, vector stores, inference optimization. The complete AI stack, ready for real users.
What We Build
AI products for
real-world use
Production AI systems that work for real users, with real data, handling real edge cases. Not just impressive demos.
AI Copilots & Assistants
Intelligent assistants that understand context, learn from usage, and genuinely help users accomplish their goals.
Intelligent Automation
Workflows that adapt. Systems that handle complexity and edge cases without constant human intervention.
Generative Applications
Products that create. Content, code, images, insights. Generative AI that adds real value.
Knowledge Systems
Turn your data into accessible intelligence. Search, Q&A, insights. Making information actionable.
Technology
Modern AI stack
We use the right tools for each situation. Provider-agnostic, future-ready, and always focused on production reliability.
LLM Providers
- OpenAI
- Anthropic
- Open Source
Vector Stores
- Pinecone
- Weaviate
- Qdrant
- pgvector
Frameworks
- LangChain
- LlamaIndex
- Vercel AI SDK
Infrastructure
- Modal
- Replicate
- AWS Bedrock
- Hugging Face
FAQ
AI questions
answered
What's the difference between AI Native and AI Integration
AI Native means building products from the ground up with AI at the core. Every feature and workflow designed with intelligence in mind. AI Integration adds AI capabilities to existing products. Both are valuable, but they're fundamentally different approaches.
Which LLM providers do you work with
All of them. We're provider-agnostic and often use multiple models in a single product. GPT-4 for reasoning, Claude for analysis, open-source for cost-sensitive operations. We choose what's right for each use case.
How do you manage AI costs
Cost optimization is built into our architecture. Smart caching, model selection based on task complexity, batch processing where appropriate. We've helped clients reduce AI costs by 70% through thoughtful design.
What about accuracy and reliability
We design systems with guardrails, validation, and confidence scoring. RAG architectures ground responses in your data. Monitoring catches issues early. AI reliability is something we take seriously.
Can you work with our proprietary data
Absolutely. We build systems that keep your data secure. Private deployments, encrypted pipelines, SOC 2 compliance. Your data stays yours and never trains public models unless you want it to.
Let's build something
intelligent
We'd love to hear about your AI product. What you're building, what's possible, and how we might help make it happen.