The tools we ship with.
Our full AI-native technology stack — from foundation models and RAG orchestration to frontend, backend, and infrastructure. Every tool listed is battle-tested in production.
We integrate and orchestrate the leading foundation models — choosing the right model for each task, not defaulting to the biggest.
Google Gemini
Multimodal tasks and Google ecosystem integration
Meta Llama 3
Self-hosted and cost-optimized inference
Mistral
Efficient open-weight models for specialized tasks
Retrieval-augmented generation and agent orchestration — the backbone of production AI products.
Typed, tested backend services that serve AI features reliably at scale.
Node.js
Real-time services and JavaScript ecosystem integration
PostgreSQL
Primary relational database with JSON support
MongoDB
Flexible document storage for unstructured data
Modern, performant interfaces with streaming AI responses and thoughtful UX.
Next.js
SSR, SSG, and full-stack React framework
React Native
Cross-platform mobile applications
Cloud-native deployment with observability, CI/CD, and cost control.
AWS
EC2, Lambda, S3, and managed AI services
Vercel
Frontend deployment and edge functions
Docker
Containerized services and reproducible environments
GitHub Actions
CI/CD pipelines and automated testing
Traditional ML and specialized AI tooling alongside LLM systems.
PyTorch
Deep learning and custom model training
HuggingFace
Pre-trained models and transformers ecosystem
OpenCV
Computer vision and image processing
Need this stack applied to your product?
We choose tools based on your constraints — not our preferences.