JARLAI
The Company Brain
From meeting minutes
to organizational coherence layer.
Jarlai captures every meeting locally on an appliance within your premises. The Coherence Engine cross-references what has been said across meetings and flags any discrepancies.
The Coherence Engine
The graph thinks along.
Every meeting feeds statements into a typed knowledge graph. It performs cross-comparisons across meetings, teams, and weeks. As soon as statements collide or chain together into a risk, a finding is generated complete with quote, source, and timestamp.
The Foundation: Jarlai Meeting AI
Every word captured. Local. Live.
The Meeting AI transcribes physical and hybrid meetings in real time, directly on the device. Decisions, tasks, and statements are extracted from the conversation, fully verifiable against the original text at any time. These exact statements feed into the knowledge graph above.
Set up, plug in, and productive from day one. Speech recognition and the language model run entirely on the appliance, with no external interfaces in the processing pipeline.
Finding Types
What Jarlai detects.
Two meetings establish conflicting delivery dates for the same package.
Detected before ordering, not upon delivery.
A budget freeze cuts the testing phase, putting the go-live and customer commitment at risk.
Each statement is reasonable on its own. The chain of events creates the risk.
A decision in Project A quietly drives a work package in Project B.
Makes dependencies visible before they cause surprises.
Something was promised, but lacks an owner, a deadline, and tracking.
Closes the gap before it becomes a liability.
Everyone acts as if a decision has been made, yet it was never actually finalized in any meeting.
Prevents work based on flawed foundations.
Different prices, discounts, or payment terms are communicated to the same counterparty.
Protects margins and credibility during negotiations.
How it works
Five steps. A reliable memory.
The language model perceives, the graph thinks. Comparisons are performed using deterministic graph queries rather than freely generated responses: the same query on the same data always yields the exact same result. No hallucinations.
What is displayed as a finding depends on a user's role and their authorized access permissions. Non-authorized statements do not generate findings for that role.
Pricing & Appliance
One device. One flat rate. No surprises.
A dedicated on-premise device: speech recognition, language model, and knowledge graph run entirely on the appliance. The companion Jarlai app on your devices handles recording and display. Processing is performed exclusively local to the device.
- Basic, Pro, and Ultra editions, depending on meeting and processing volume
- Air-gap operation possible, including offline updates
- Hardware remains the property of Intaleon; the system scales as needed
You pay for capacity and features, not usage. We will determine which edition fits your volume in a brief consultation.
Data Sovereignty
Hardware-enforced. Not just promised.
Frequently Asked Questions
Before you have to ask.
Is the Coherence Engine already available?
It is currently in active development. We can already demonstrate two concrete use cases in a personal consultation. Availability and pricing will be determined as part of a pilot program with reference customers.
What happens to the hardware at the end of the contract?
Jarlai runs as a Hardware-as-a-Service solution. The appliance remains the property of Intaleon at all times and is returned at the end of the contract, much like a router from an internet service provider.
Does Jarlai also work completely offline?
Yes. Full air-gap operation is supported, including offline update packages for maintenance.
Are my data automatically backed up?
Currently, automated data backup is not included. We address this transparently in your tailored proposal so that you can factor it into your own backup strategy.
How quickly is Jarlai operational?
Plug & Play: position it, connect it to power, and be productive from day one without the need for an integration project.
Bring two meetings regarding the same project.
We will demonstrate in a conversation what a coherence layer reveals beyond that.
100% local AI · Zero Cloud · Plug and Play