What You Get
End-to-end engineering from architecture through production
Full-stack: React, Swift, Python, Rust, TypeScript
AI: LLM/RAG, Computer Vision, NLP, Predictive Analytics
Infrastructure: Terraform, CDK, CI/CD
Testing, monitoring, security hardening included
Technical Capabilities
Production-tested technologies across the full stack
AI / ML
- LLM/RAG pipelines
- Computer Vision
- NLP & Document Intelligence
- Predictive Analytics
Full-Stack Development
- React & Next.js
- Python & Rust
- TypeScript & Swift
- REST & GraphQL APIs
Data Engineering
- Snowflake & BigQuery
- Medallion Architecture
- ETL/ELT Pipelines
- Real-time Streaming
Infrastructure & DevOps
- Terraform & CDK
- CI/CD Pipelines
- Docker & ECS/Fargate
- Security Hardening
How We Work
A proven process from discovery to delivery
Discovery
Understand your business, data landscape, and goals. Free 30-min call to start.
Assessment
Technical deep dive into your current stack, gaps, and opportunities. Deliver a roadmap.
Build
Embedded team ships production code. Weekly demos, daily standups if needed.
Operate
We don't throw code over the wall. Monitoring, maintenance, and iteration included.
Frequently Asked Questions
What AI technologies do you work with?
We work with LLMs, RAG pipelines, computer vision, NLP, LiDAR processing, predictive analytics, and document intelligence. We choose the right tool for the problem — not the most hyped technology.
Can you build a complete product from scratch?
Yes. We handle the full lifecycle: architecture design, backend/frontend development, AI/ML integration, infrastructure provisioning, CI/CD, testing, monitoring, and production deployment. Our client case studies page shows examples of complete products we have shipped.
What does your testing approach look like?
Testing is not an afterthought. We build comprehensive test suites from day one — unit, integration, and end-to-end. Our civic infrastructure project has 2,000+ automated tests. Our client projects have 17,800+ tests. We also include monitoring, alerting, and security hardening as standard.
Do you work with existing codebases or only greenfield?
Both. We are equally comfortable building from scratch or improving existing systems. We have migrated monoliths to microservices, modernized legacy data pipelines, and integrated AI capabilities into existing products.
What cloud platforms do you support?
Primarily AWS (our deepest expertise — Lambda, ECS, SageMaker, CDK) and GCP (BigQuery, Cloud Run). We also work with Azure when required. All infrastructure is defined as code using Terraform or CDK.