services
Zero to one. Strategy, design and build.
We take AI-native products from first idea to running system, across fintech systems, operational platforms and agentic AI. One team for strategy, design and engineering, accountable from the first decision to the live product.
our approach
One team, from first idea to running system.
We work with founders and enterprises ready to take a product from idea to running system. AI-native means the intelligence is in how we build, not only in what we ship.
Strategy decides what to build before code is written. Design makes complex, rule-heavy products feel simple. Engineering ships them to production. The three are one loop, not three handoffs, so nothing is lost between the plan and the product.
Every build runs on the same delivery platform the studio uses on all of its own work, tracking cost, quality and behaviour across the lifecycle. You see what we see. Security and compliance are designed in from day one, not added when an auditor asks.
- 01
strategy
AI product strategy
Find where AI earns its place, map the business before the interface, and commit to an architecture and a roadmap worth executing.
- 02
design
AI product design
Information architecture, product experience and interface design that make complex, rule-heavy products feel simple, validated with real users before investment.
- 03
build
AI product development
Production-grade engineering, AI-native systems where they earn their place, and observability built in, shipped on our in-house delivery intelligence platform.
work
Built from zero to one.
ChaiDEX
Agentic AI yield infrastructure for ChaiDEX
Wallet, exchange, and smart contracts as one non-custodial product, across chains.
Clove.Trade
Perpetuals exchange and order book for Clove.Trade
A hybrid exchange where speed meets custody: vaults, spot, perps, algorithmic orders and governed agent access.
SirGiving
Giving marketplace for SirGiving
Discovery, campaigns, rewards and staff workflows, all in one giving platform for donors and nonprofits.
start here
Tell us what should exist.
Bring the process that is too important to leave manual and too specific for generic SaaS. We will map where AI belongs, where it does not, and what software should exist around it.