Our forward deployed engineers work inside your firm to build AI agents and trading systems your risk team will sign off. For banks, hedge funds, proprietary trading firms and fund administrators across APAC.
Most AI pilots go round in circles and never go live. We take yours through review and into production.
Services
We find where AI pays off in your firm and what it will cost to run.
What you get
Typically two to three weeks.
We build custom AI agents and trading systems, in code you own.
What you get
Six to eight weeks for a first agent.
Fixed scope, fixed fee.
Once it is live, we keep it running and accurate, whether we built it or you did.
What you get
Optional, after go-live.
Monthly retainer.
Already built something?
If you have a pilot that works but isn’t live, we start from what you built. We harden it, take it through your risk review, deploy it to your cloud or on-premises, and set up monitoring.
Funding in Singapore
The Singapore MAS AI Pathfinder scheme pays half the cost of eligible AI deployments, up to S$200,000 per project. We’ll help you check whether yours qualifies. Eligibility is set by MAS; confirm before applying.
How we work
The largest AI labs embed engineers in global institutions. Collyer does the same for financial firms across APAC.
A first deployment
Two to three weeks
After a 30 minute call, we sit with your desks and pick the first project together.
A sponsor, and time with the people who do the work today.
A scoped plan and a fixed fee for the build.
Six to eight weeks
Our engineers work at your desks and in your systems, and test what they build on your real cases.
Access to the systems involved, and a named contact in your team.
A working system, with test results on your own cases.
At go-live
We take it through your risk review, deploy it, and train your team to run it.
Sign-off from your team, and the people who will run it day to day.
A live system, and a team that can run it without us.
In practice
The kind of work we take on for banks, hedge funds, proprietary trading firms and fund administrators.
We design and build a time-series database that serves reference data for any asset class at low latency, so every desk and system reads from one fast source.
Hedge funds · Proprietary trading firms · Banks
An agent checks refreshed client documents against your policy and lists what is missing or out of date, citing the page behind each finding.
Banks · Digital banks · Insurers
An agent sorts each break by likely cause, attaches the evidence and routes it to the right team, so analysts start with the facts in hand.
Fund administrators · Hedge funds · Proprietary trading firms
A complete working agent, run on made-up data, showing the access controls, approval step, decision log and test results a risk team asks for. Not a client engagement.
Security and data
We work inside your systems, and your data does not leave them.
Insights
Costs and funding
[Publish date] · 9 min read
MAS regulation and AI
[Publish date] · 7 min read
Agent deployment engineering
[Publish date] · 6 min read
Free download
The 2026 edition, as a PDF.
We send one email with the PDF and don't add you to a list.
Contact
An agent, a trading system, or a pilot that needs to go live: tell us where things stand. An engineer replies, not a sales team.
Thirty minutes with an engineer. No slides.
An engineer will reply.