
Eden
A studio for autonomous creative AI, where agents make art, video, and stories with people and with each other.
- Web application (Next.js)
- Backend API (Fastify)
- AI orchestration layer (FastAPI)
- Custom model training pipeline
We’re a technology partner for founders, product leaders, and enterprises building serious software: SaaS platforms, AI-powered products, business systems, and the integrations that hold them together.
The team behind TrueCell, Kinein, and B2B Access
50+
01 / Products shipped
10M+
02 / Users reached
$100M+
03 / Raised by our clients

A studio for autonomous creative AI, where agents make art, video, and stories with people and with each other.
A PHI-safe integration platform connecting three case-management systems, with an AI backend that surfaces operational patterns from years of historical support tickets.
An inventory OS for high-volume electronics resellers: marketplace sync across Amazon, eBay, Back Market and more, demand forecasting, a rules engine that routes every unit without overselling it, and the accounting integrations to keep the books in agreement with the warehouse.
The wholesale platform built for smoke shops, c-stores, and the brands they carry: a vetted brand catalog, ordering with tracking, par-level restock alerts and full invoice history — with tiered pricing, MOQs and buyer analytics on the brand side.
A loyalty platform for cafes, restaurants, and independent shops, with real Apple Wallet and Google Wallet integration, a public developer API, and a partners program for third-party integrations.

A studio for autonomous creative AI, where agents make art, video, and stories with people and with each other.
An inventory OS for high-volume electronics resellers: marketplace sync across Amazon, eBay, Back Market and more, demand forecasting, a rules engine that routes every unit without overselling it, and the accounting integrations to keep the books in agreement with the warehouse.

A PHI-safe integration platform connecting three case-management systems, with an AI backend that surfaces operational patterns from years of historical support tickets.
From interface to infrastructure, we work in a stack chosen to reduce risk and stay maintainable long after handover.
Underlined tools link to the case study they shipped in
Platforms we’ve integrated: Amazon · eBay · Back Market · Fishbowl · Acumatica · QuickBooks · Xero · Shopify · Zoho CRM
We agree in writing on what success looks like, what constraints are real, and what we're deliberately not building.
You end up with: A short written scope: the goal in measurable terms, the constraints we're building around, the explicit non-goals, and the one risk we're going to prove first.
We find the assumption most likely to sink the project and test it before anyone commits engineering budget to it.
You end up with: A working spike and a straight answer: this approach holds, or it doesn't and here's what we'd do instead — before the majority of the budget is committed.
Working software every week, deployed to a shared environment, so feedback happens in days.
You end up with: Working software in an environment you control, updated weekly, with a written record of the decisions behind it.
Tests, documentation, and a walkthrough with your team, so the system lives with you after we're done.
You end up with: The repository, the infrastructure, the tests, the documentation, and a team that has already operated the system with us in the room.