What we know · End to end

Six layers, one team, every line shipped.

Fair warning: this page is technical on purpose. You do not need to understand it. It exists so your technical friend can verify we are real. The short version: the same team designs, builds, launches, and runs everything. Nothing is outsourced.

Layer 01

AI & Machine Learning

Frontier-model engineering, retrieval pipelines, and the messy real-world plumbing that makes models useful in production.

Anthropic Claude, OpenAI, open-weight models (Llama, Qwen, Mistral)
RAG systems with vector stores, hybrid retrieval, re-ranking
Fine-tuning, LoRA adapters, instruction-tuning pipelines
Agent frameworks: LangChain, LlamaIndex, custom orchestration
Speech, vision, document AI: Whisper, Vision-LLMs, OCR pipelines
Eval harnesses, golden datasets, regression suites

Layer 02

Software Engineering

Type-safe, test-covered, production-grade codebases. We pick languages by suitability, not by fashion.

TypeScript / JavaScript across the full stack
Python for AI, data, and backend services
Go and Rust for performance-sensitive paths
Next.js, React, FastAPI, Django, Express, Node.js
GraphQL, REST, tRPC, gRPC
Test-driven development with Jest, Vitest, pytest

Layer 03

Data & Storage

Schemas designed for the questions you will ask later, not just the data you have today.

PostgreSQL, MySQL, SQLite at any scale
Redis, MongoDB, Supabase for hot paths
Vector databases: Pinecone, Weaviate, pgvector
Streaming: Kafka, Redpanda, change-data-capture
Data warehousing: BigQuery, Snowflake, ClickHouse
ETL and orchestration: Airflow, Dagster, dbt

Layer 04

Cloud & Infrastructure

Infra as code from day one. Pick the cheapest tier that works, scale only when traffic demands it.

AWS (Lambda, ECS, S3, RDS, Bedrock)
Vercel for edge-rendered frontends
GCP (Cloud Run, BigQuery, Vertex AI)
Cloudflare Workers, R2, D1
Docker, Kubernetes, Terraform
CI/CD with GitHub Actions, GitLab CI

Layer 05

Frontend & Design

Production interfaces with the polish of a brand site. 3D, motion, and accessibility treated as first-class.

React, Next.js App Router, Server Components
Tailwind CSS, CSS Modules, design tokens
Three.js, OGL, React Three Fiber, GLSL shaders
Framer Motion, GSAP, scroll-driven animation
Spline, Lottie, Lenis smooth scroll
WCAG 2.2 AA accessibility baked in

Layer 06

Operations & Observability

You ship the model; we keep it awake. Operators, monitoring, and a feedback loop into the build.

24/7 monitoring with Datadog, Grafana, Sentry
Model drift detection and retraining pipelines
Cost observability across LLM API spend and infra
Domain-expert annotation and gold-set curation
Incident response and post-mortem culture
Single point of contact, monthly system health report

Stack · Tools · Languages

Production-grade across the full stack. Picked by suitability, not fashion.

Python · TypeScript · JavaScript · Go · Rust · SQL · PyTorch · TensorFlow · Hugging Face · OpenAI · Anthropic Claude · LangChain · LlamaIndex · Ollama · Next.js · React · Node.js · FastAPI · Django · Express · AWS · Vercel · GCP · Cloudflare · PostgreSQL · Redis · Pinecone · MongoDB · Supabase · Docker · Kubernetes · GitHub Actions · Terraform · Three.js · OGL · Spline · GSAP · Framer Motion · Tailwind ·

Tooling is not the moat. The judgment of when to use which one, and the operators who keep it alive after launch, is.