Falcon is introducing Falcon Private AI: a full line of hardware built to run real AI models entirely on a trader’s own machines, with no need to sent data anywhere else. Three machines, one piece of software, and no part of it depending on a network connection staying up.
Two completely new systems and a bolt on upgrade for existing trading computers. This new line is built for a specific job: giving a trader or a firm a model capable enough to review a trade journal, read a statement, or draft strategy code, without that file ever leaving the desk it started on.
What we're releasing
Falcon AI Desk (model I-10) starts at $7,343: a desktop built around graphics-card memory that scales with the card, from 16GB on a single RTX 5070 Ti up to 64GB on dual RTX 5090.
Falcon AI Book (model MI-12) starts at $3,984: the same idea in a trading laptop, 12GB of AI memory on the 16-inch build, 24GB on the 18-inch, no connection required once the model is loaded.
Falcon AI Enclave (model E-1) starts at $6,390: one fixed configuration, 128GB of unified memory, built to be shared infrastructure for a desk or an entire firm rather than a single owner’s machine.
All three ship with Falcon Terminal, software Falcon wrote, pre-installed, with the tools traders actually use already built in: reviewing a trade journal, reading a broker statement, writing an indicator, checking a trade against saved rules, searching local documents, and one tool that reaches the internet on purpose, switched off by default. Every machine ships in 7 to 10 business days.
Why this exists
All our traders have spent countless hours tweaking, refining, and developing their strategies and indicators. Public and paid for AI systems running on third party systems explicitly state they train their models on the context you provide.This means you’re giving all those hours away to the next person, often your competition, for free.
Further, a federal judge ordered a major AI vendor to preserve chat data users had already deleted in May 2025. In January 2026, a different judge went further: twenty million real conversations, drawn at random, ordered produced to opposing counsel. One vendor tells its own users, in writing, not to type anything confidential. Verizon’s 2026 Data Breach Investigations Report puts third-party involvement at 48% of breaches, up from 30% the year before.
None of that requires an attacker. A trade journal, a broker statement, an unpublished strategy: once a file like that leaves the machine it was created on, what happens to it next is decided by people who have never heard of the trader who typed it.
Falcon Private AI is not a policy promise. There is no account, no server, and no third party subpoena risk. The only person these models give data to is you, the owner of the machine.
What is actually different here
Virtually every other AI option on the market is a subscription to someone else’s server. Falcon Private AI is hardware, purchased once, that keeps working even if your internet goes down. AI memory, not a monthly seat, is the number that decides what it can do: 8 to 14B for fast everyday use, 14 to 32B for writing real strategy code and reasoning through a full statement, 120B-class on Falcon AI Enclave for full transcripts and dense filings.
This also is not one machine trying to do everything. AI Book covers the trader who wants a fast, private assistant with nothing to plug in. AI Desk covers the one writing and testing strategy code. Falcon AI Enclave covers a trader or firm that would rather keep the AI workload off the trading system and buy a distinct machine with top of the line research potential.
Where to start
Read the buyer’s guide to local AI → explains AI memory, parameters, speed, cost, and privacy before spending anything.
See everything Falcon Terminal does → walks through the built-in tools and the privacy toggle in detail.
Read why private AI matters, for a trader and for a firm → covers the case for both an individual desk and a shared firm deployment.
Compare the full lineup, attribute for attribute → puts AI Desk, AI Book, and Falcon AI Enclave side by side.
FAQ
Do I need all three machines?
No. Most individual traders need exactly one: AI Book for everyday review and explanation, AI Desk if the work includes writing strategy code. Falcon AI Enclave is for a firm sharing one machine across several desks, not something a single trader buys alongside an AI Desk or AI Book.
Can I add Falcon Private AI to a trading computer I already own?
Falcon AI Desk, AI Book, and Falcon AI Enclave are their own machines. To add Private AI to your current workflows, we recommend getting an Enclave to operate as an independent compute system. Older trading systems running Falcon Terminal can pair with a Falcon AI Enclave on the same network to use its larger models.
Does this replace my existing trading computer?
Not necessarily. Falcon Private AI is built for AI work specifically: reviewing your history, explaining a document, writing an indicator. Nothing about it requires replacing a trading computer that is already handling execution and charting well.
Is there a subscription?
No. Every Falcon Private AI machine is a one-time purchase. There is no monthly fee and no usage cap on the models it ships with.
How is this different from just running an open-source AI tool on a fast PC myself?
Nothing stops a capable builder from doing that. Falcon Private AI ships with Falcon Terminal already installed, tuned to the specific hardware, with the trading-specific tools already built and working the day it arrives. There is no setup, no necessary hardware upgrades, no prompt-writing to learn, and no command line to touch.
When can I order one?
Now. Every machine in the lineup ships in 7 to 10 business days. —
Explore the Lineup
Or call 1-800-557-7142 (a real conversation with a technician, not a form).
