Engineering that pays for itself

The problem

Teams lose hours to copy-paste between systems, manual data entry, and reconciliation no one wants to own.

What we deliver

Event-driven pipelines that extract, validate, and route data between your tools — with humans looped in only on the exceptions that actually need judgment.

Example

For an accounting firm: an incoming invoice triggers an AI extraction step that pulls line items, formats them QuickBooks-ready, and posts any low-confidence exceptions to Slack for a human to approve.

The tech

• Python
• FastAPI
• n8n
• Power Automate
• OpenAI / Anthropic APIs
• pgvector

The problem

Spreadsheets and off-the-shelf SaaS stop fitting once your process gets specific — so the workarounds become the job.

What we deliver

Production web apps, internal dashboards, and admin tooling built to your workflow: typed end-to-end, observable, and handed over with docs — not a black box.

Example

A CRM built specifically for an accounting firm — client lifecycle, document requests, deadline tracking, and engagement status in one place instead of five disconnected tools.

The tech

• Next.js
• TypeScript
• Node
• FastAPI
• Neon
• Vercel
• Docker

The problem

A slow, generic, or hard-to-edit site quietly costs you credibility and leads with every visit.

What we deliver

Production marketing sites and web platforms — responsive, accessible (WCAG 2.2 AA), SEO-sound, and fast on real devices — with a stack your team can maintain.

Example

Production sites shipped across restaurant, healthcare, accounting/CA, retail, and technology — each tuned to its audience and conversion goal.

The tech

• Next.js
• TypeScript
• Tailwind
• Vercel
• Neon

The problem

Generic AI output is close-but-wrong for specialized work, and off-the-shelf APIs alone rarely hit the bar.

What we deliver

Fine-tuned and custom models — training, evaluation, and deployment — with an MLOps pipeline so quality is measured, not guessed.

Example

An image-to-image model that turns a rough product sketch into clean, on-brand e-commerce product visuals — ready for a catalog.

The tech

• PyTorch
• TensorFlow
• Hugging Face
• LangChain
• MLflow
• Ray

The problem

Chatbots that hallucinate or can’t cite a source erode trust faster than having no bot at all.

What we deliver

Retrieval-augmented (RAG) assistants grounded in your documents, with citations, guardrails, and analytics — deployed and hosted, not handed over as a demo.

Example

A data-backed support assistant that answers from a client’s own knowledge base, links the source passage, and escalates cleanly when it isn’t confident.

The tech

• LangChain
• pgvector
• OpenAI / Anthropic APIs
• FastAPI
• AWS
• Docker