Solutions · Service providers
Give your platform the intelligence layer your clients are asking for.
OMS, PMS, risk, fund admin, compliance and CRM providers are being asked for AI by every fund client. Orchid's private model drops into your stack as an API — finance-native, grounded in your clients' own data, and isolated per tenant — so you ship the feature without building the model.
Key use cases
A finance-native LLM over your data
Your platform already holds the data your clients rely on. Orchid sits on top of it as a retrieval and inference layer — answering from your documents and databases, not from what it learned about the world at large. The model speaks the language of finance because it was built to.
Natural language in, structured answers out
Your clients stop navigating menus and start asking questions — about a portfolio, a position, a filing, a covenant. Orchid retrieves the relevant context from your data and returns a sourced, defensible answer. The interface your clients have been asking for, without the risk of a model that invents what it doesn't know.
NLP use cases, shipped inside your platform
Summarization, comparison, extraction, classification, Q&A — the workflows your clients currently do by hand, now available as features in your UI. Orchid grounds each one in your data, cites the source, and declines when the answer isn't there. Your roadmap gets AI features; your clients get output they can trust.
A model that knows when it doesn't know
General models fabricate confidently when they lack information — in our testing, over 80% of the time on questions they can't answer. Ours declines. That is the difference between a feature your clients use and a liability your compliance team blocks. When the output is wrong in a tool funds rely on, you don't get a second chance.
Bring your platform.
Thirty minutes with your data model and a live client workflow. We will show you what the integration looks like and what comes back.