About
PALabs is a team of software engineers. We take products from specification to deployment: backend, frontend, firmware and language-model integrations.
How we work
Every larger project starts with a specification: requirements, scenarios and design decisions are written down before the code. Then tests, reproducible container deployments and clear boundaries between layers. We use language models where they bring measurable value, and we always check them against data.
By the numbers
- projects in the team’s experience
- 18
- systems in production
- 4
- areas of work
- 4
- years of projects
- 3
Timeline
- 2024
First AI products
An omnichannel AI agent platform for customer service and automatic recognition of bills of materials in customer files.
- 2025
School, iOS and embedded
A school digital currency in daily use, a prompt generator for teachers, an iOS app for capturing ideas by voice, a messenger integration and the start of work on a smart-home platform.
- 2026
Production systems and research
A school ERP and a sales-team PWA in production, an olympiad platform with AI classification, a Rust/WASM data anonymiser, a voice agent for cold calls, and a research project with a language model trained on the human genome.
Stack
Languages
- TypeScript
- Python
- C
- Rust
- Swift
- SQL
Web
- Next.js
- React
- Astro
- NestJS
- Tailwind CSS
- Playwright
Backend & data
- FastAPI
- Django
- PostgreSQL
- Prisma
- Redis
- Celery
- Temporal
AI / ML
- Claude API
- OpenAI API
- RAG
- ChromaDB
- PyTorch
- MCP
Embedded
- ESP-IDF
- ESP32
- FreeRTOS
Infrastructure
- Docker
- GitHub Actions
- Caddy
- nginx
- Supabase
- OpenSpec