Multi-provider RFQ
Puts the same request to several liquidity providers, ranks the responses within your exposure, and brings back the best price for sign-off.
Best priceEmmie reads what your desk asks for in plain language, weighs it against your limits and mandates, executes it inside the systems you already run, and seals a record you can stand behind. A decision you can trace, not an answer you have to trust.
Nobody trades on what the AI says. They trade on what it does, and what it can prove.
Most tools get judged on how well they talk. On a desk where a wrong move costs real money, what counts is the action itself and the record behind it. That is the part we built Emmie to get right.
The operational AI behind the desk, in motion.
Not a copilot that drafts and waits. Emmie completes the task end to end, inside your controls.
Puts the same request to several liquidity providers, ranks the responses within your exposure, and brings back the best price for sign-off.
Best priceReconciles the terms of a trade, surfaces any mismatch, and holds for a human decision before a booking exists.
Human-in-the-loopReads the break, finds the cause, drafts the correction, and clears it before a delay turns into a fail.
Exception triageTurns a chat or an email into a clean, validated trade record, without anyone re-keying a single field.
No re-keyingHandles client enquiries and indications of interest at any hour, with answers that stay consistent and on-policy.
Always onDigitises inbound requests and pulls the information your team needs, inside the messaging tools they already use.
Real-timeEvery instruction travels the same route. There is no version of the path that reaches execution without passing the checks, and none that ends without a record.
Emmie interprets the instruction from email, chat or an enterprise platform, across languages and fields, and works out what is actually being asked.
Free text becomes structured, unambiguous parameters: instrument, size, side, counterparties, value date.
The request is measured against your exposure limits, trading mandates and approval rules. Anything outside them stops here.
The decision is carried out directly in your live systems, no new application on the desk.
Every step is written to a timestamped, immutable record: what happened, when, on whose authority, and why.
The difference is not tone or model size. It is whether the system can be trusted to act, and held to account afterwards.
| Dimension | Conversational AI | Operational AI, Emmie |
|---|---|---|
| Output | Text and suggestions | A completed action in your systems |
| Rules | Unaware of your limits | Bound by limits, mandates, approvals |
| Wrong answers | Can be confidently wrong | Verified against your data first |
| Evidence | You reconstruct what happened | A sealed, timestamped record |
Emmie is made for desks that cannot accept automation they cannot account for.
Reference material for teams weighing AI that acts, not just answers.
The line between a system that suggests and a system that acts, and what it takes to cross it safely.
A working definition, the four properties that make it usable on a desk, and where it fits in your stack.
Thirty minutes. Bring the manual task that eats your desk's day and watch it run end to end, sealed.
Built in Geneva by Terranoha, for teams in capital markets, energy and commodities.