Capabilities
What we build
Technical depth across AI/ML, systems architecture, and product engineering. We take on complex problems that require expertise across multiple domains.
AI/ML Implementation
From proof-of-concept to production-grade AI systems.
We build machine learning pipelines that survive contact with the real world. Model training, inference optimization, MLOps infrastructure, and the unglamorous work of making AI systems reliable at scale.
- Custom model development and fine-tuning
- Production ML pipeline architecture
- MLOps and model monitoring systems
- Inference optimization and edge deployment
- RAG systems and LLM integration
Systems Architecture
Infrastructure that scales without drama.
Distributed systems, data pipelines, and backend architecture designed for the load you'll have in two years, not the load you have today. We think about failure modes so you don't have to.
- Distributed systems design
- Event-driven architecture
- Data pipeline engineering
- Cloud infrastructure (AWS, GCP, Azure)
- Performance optimization and scaling
Product Engineering
Full-stack development with product sense.
We build complete products, not just features. From database schema to user interface, with attention to the details that separate tools people tolerate from tools people love.
- Full-stack application development
- API design and implementation
- Frontend architecture (React, Next.js)
- Mobile development
- DevOps and CI/CD pipelines
How we work
Flexible engagement models designed around your needs, not our billing preferences.
Project-Based
Defined scope, fixed timeline. Best for discrete technical challenges with clear deliverables.
Embedded Teams
We integrate with your team for extended periods. Best for complex, evolving projects that need sustained expertise.
Advisory
Strategic technical guidance and architecture review. Best for teams that need expertise without execution.