Product Engineering for
SaaS & AI Systems
We design and build product foundations that scale — supporting users, revenue, and AI systems in real production.
What We Mean by Product Engineering
Product engineering is not just feature delivery. It’s the discipline of building systems that support real users, evolving requirements, revenue models, and automation — without collapsing under growth.
Core Capabilities
Everything you need to ship a production-grade SaaS product.
Product Foundations
- Multi-tenant architecture
- Authentication & RBAC
- Subscription billing (Stripe)
- User & organization settings
- Admin dashboards
Engineering & Architecture
- Backend & API design
- Async workflows & background jobs
- Database modeling & migrations
- Observability & error handling
- Scalable system boundaries
AI-Ready by Design
- Clean boundaries for AI agents
- Event-driven workflows
- Safe automation integration
- Model-agnostic architecture
- Production-first AI thinking
Our Tech Stack
We use modern, battle-tested technologies to ensure your product is scalable, maintainable, and fast.
Frontend
JavaScript
TypeScript
Vue.js
Nuxt.js
Vite
Vuetify
Tailwind
Backend
Node.js
Bun
Nest.js
Nitro
Express
gRPC
GraphQL
Socket.io
Database
PostgreSQL
MongoDB
Redis
Firebase
Supabase
Cloud & DevOps
AWS
GCP
Docker
Kubernetes
Nginx
Traefik
Elasticsearch
Sentry
AI Models
OpenAI
Gemini
Anthropic Claude
Mistral
DeepSeek
Gemma
MidJourney
Minimax
AI Tools
LangChain
LlamaIndex
Hugging Face
Ollama
Google AI Studio
OpenRouter
Pinecone
Weaviate
Chroma
MediaPipe
Cohere
Replicate
Integrations
Stripe
PayPal
Paddle
HubSpot
Salesforce
ActiveCampaign
Mailchimp
Brevo
Segment
Mixpanel
Google Analytics
Intercom
Zendesk
Slack
Notion
Airtable
Zapier
n8n
Twilio
SendGrid
Auth0
Okta
Shopify
Woo
Contentful
Sanity
Cloudinary
Jira
Atlassian
Trello
Zoho
Why Product Engineering
Matters for AI
Most AI initiatives fail not because of models, but because the underlying product systems are fragile.
AI agents require reliable data, predictable workflows, clear permissions, and observable behavior — all of which depend on solid product engineering.
"We build the engine and the chassis that allow your AI to actually drive business value."
How We Work
New Products
From MVP to early user traction and into a full-scale, production-ready platform.
Existing Products
Architecture reviews, strategic refactoring, and scaling your existing systems safely.
Long-term Partnership
Deep alignment with your team for ongoing product and platform ownership.
Good Fit
- SaaS founders pre or post PMF
- Teams adding AI to real products
- Companies replacing fragile systems
Not a Fit
- One-off landing pages
- “Just add ChatGPT” requests
- Fixed-scope feature factories
Elevate Your Software Delivery
From product engineering to AI automation, we provide the expertise you need to scale your SaaS operations and deliver exceptional value.