Orchid
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Introducing orchid01

The private LLM,
purpose-built for hedge funds.

The state-of-the-art large language model built for finance — with a native set of cutting-edge capabilities for accuracy, compliance, and quantitative work. Hosted privately for your firm.

Schedule a call→Read the docs

Today, hedge funds use AI
without owning it.

Consumer LLMs know nothing about your positions, your process, or your edge. Every session starts from zero, every prompt leaves your perimeter, and none of the model's improvements come back to you.

The winners run private, firm-specific AI inside their perimeter — refined against their own data and workflows. Improvement that compounds for them, not the market.

The product

One infrastructure. Two ways to deploy.

Both powered by orchid01 — the same private, finance-native inference layer.

For developers and quant teams · API

orchid01 API

A finance-native inference endpoint that drops into the tooling your team already uses — the OpenAI and Anthropic SDKs, Cursor, Claude Code, Codex, VS Code. A single configuration change, no migration.

backtest.py
python · 3.12
1# point your existing client at orchid01
2from openai import OpenAI
3 
4client = OpenAI(
5    base_url="https://api.orchid.ac/v1",
6    api_key="sk-orchid-...",
7)
8 
9resp = client.chat.completions.create(
10    model="orchid01",
11    messages=[{"role": "user", "content": prompt}],
12)
13▍
  • Drop-in compatible with OpenAI & Anthropic SDKs
  • Works in Cursor, Claude Code, Codex, VS Code
  • Plugs into existing notebooks & pipelines
  • Private inference instance per firm
All-in-one research environment · ★ Platform

Orchid Platform

A unified environment for investment teams. Document-grounded analysis, automated workflows, live dashboards, and proprietary model integration — in a single institutional-grade platform.

orchid · platform
▣Chat
GROUNDED
⟳Automations
5 ACTIVE
▤Dashboard
LIVE
⌬Models
4 CONNECTED
  • Document-grounded chat
  • Scheduled & event-triggered automations
  • Real-time research dashboards
  • Native integration of your models & feeds

Everything a research team needs,
in one model.

One coherent system across the research workflow.

i

Idea generation

Validate theses against filings, transcripts, and your own research — every figure verified.

✓revenue verified10-K · p.42
✓margin verifiedQ3 earnings
⚠guidance — not in source
ii

Signal research

Construct, version and backtest signals natively against your models and feeds.

signalbacktest
iii

Quantitative workflows

Run end-to-end quant pipelines — from data prep to attribution — in a single environment.

// pipeline.py
load → clean → features
→ backtest → attribute
sharpe 1.62
iv

Portfolio monitoring & construction

Track exposures, headroom and material developments. Construct and rebalance with grounded reasoning.

position A
4.2×
position B
2.1×
position C
5.1×
v

Advanced coding

Production-grade code generation tuned for research and trading infrastructure.

// strategy.py
def rebalance(book, signal):
target = optimize(book, signal)
return diff(book, target)
vi

Compliance

Zero retention, audit trail to your infra, private deployment — by design, not as an afterthought.

✓zero retention
✓audit trail
✓private deploy
✓encrypted
vii

Trained on your data

Improvements refined against your firm's workflows and documents. The lift stays exclusively yours.

Let's talk

Ready to give your fund a private LLM?

Thirty-minute call. We'll walk through the platform, discuss how comparable institutions are deploying orchid01, and assess fit with your investment process and compliance requirements.

Schedule a call→cal.com/orchidai/30min