Private LLM infrastructure
for investment firms.
State-of-the-art, finance-native infrastructure that compounds your firm's edge instead of the market's. Every model your team uses, for a fraction of the cost, under your firm's control.
The problem
Most firms use AI without controlling any of it.
Licences pile up team by team, nobody can say what AI costs per desk, the models know nothing about your process, and every question you ask leaves the building.
Firms that control their AI keep the compounding: the cost, the rules and the work your analysts put in all stay with the firm.
Cost
Spend less on the AI you already pay for.
Orchid's inference engine sends every request to the most cost-effective model that meets your quality bar, so the work gets done for less without your team changing how they work.
60%
Lower model spend for firms on Claude, with no measurable loss in quality.
Up to 85%
Lower spend on everyday work, when your firm chooses the economy setting.
Per desk
Spend by team and by person, with the saving shown against what you would have paid.
Savings depend on the models your firm uses today. We measure them on your own usage before you commit.
The products
Every model, one gateway. Where your team works, on top.
The Gateway brings every model your firm uses under one set of rules, including our own finance-native model. Studio, Desktop and the Orchid add-on are where the work happens, all running through it.
Orchid Gateway
FoundationEvery model your firm uses, Claude, GPT and our own, behind one gateway. Each request goes to the model that does it best for the least, under one set of rules.
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Orchid Studio
CoreRuns in the browser and plugs into the whole firm: ask questions of your own documents, get work product back, and put the routine parts on a schedule.
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Orchid Desktop
CoreRuns on your laptop, with access to your files, code and data, for applications, visualizers, research code, strategies and signals.
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Orchid add-on
NewYour team keeps working in Claude. Orchid adds your firm's data, tools and rules behind it, and every answer opens in Studio with its sources.
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Why you can trust it with a decision
It shows its sources, and it will tell you when it doesn't know.
The reason firms hesitate is not capability, it is invention. Ours is built to answer from your documents, to decline a question it cannot answer honestly, and to keep its position when someone pushes back without new evidence.
Agreeability score
Tell a model it is wrong, without giving it a reason. This is how often it abandons a correct answer. Lower is better.
This matters the moment a portfolio manager disagrees with a conclusion. A model that folds tells you what you want to hear.
Fabrication on unknowable dates
Ask for a price on a recent date the model cannot have data for. This is how often it answers with a confidently wrong number instead of declining. Lower is better.
A backtest that quietly knows the outcome is worthless. Ours answers from what was knowable at the time, so time-series work holds up.
Questions it cannot know
Ask about a period it has no information on, and it says so.
Every general model we tested answered those questions anyway. Confidently, every single time, including about dates it could not possibly have data for. Ours declines almost all of them. In research, an honest refusal is worth more than a fluent guess.
Control
Your deployment, your data, your costs, your record.
This is the part your compliance officer cares about, and it is short.
A private deployment
Your firm gets its own instance. Your questions and documents are not pooled with anyone else's, and they are not used to train anything shared.
You decide what is kept
Storage is a setting, not a policy. Switch it off and nothing you send is retained; we keep only what is needed to bill and monitor the service.
You decide what it costs
Choose how much quality to trade for cost, or none at all, and see the spend of every team and every person.
You keep the record
Every question, answer and source can be written straight to a system you own, so your audit trail is yours even when we retain nothing.
Your engineers are welcome to take this apart line by line. The mechanics are on the Gateway page.
Solutions
Built for public and private markets, and the platforms that serve them.
Public markets →
Hedge funds, asset managers and wealth teams: earnings work, coverage and client-ready commentary.
Private markets →
Private equity and private credit: data rooms, covenants and LP-ready reporting.
Service providers →
OMS, PMS, risk, fund admin and compliance platforms: embed a finance-native, white-labeled AI layer your fund clients are already asking for.
Thirty minutes is enough to judge it.
Bring a name you are working on or a live process. We will walk you through the products, show how comparable firms are deploying it, and answer the compliance questions properly.