Enterprise Superintelligence · maiabrain.com
The Only True Enterprise Superintelligence.
Your answer already exists. It is sitting in four systems that cannot see each other, and the only thing that joins them is a person with a spreadsheet.
-
Over 10 TB
Of your own material held in active memory. Against a one million token ceiling elsewhere
-
2.5×
The task success of a frontier model working alone. At around a thirtieth of the inference cost
-
99%
Accuracy, with the reasoning attached to every answer. Provable, not probabilistic
-
14 days
From decision to live, in three phases. Production from day 9
Where the cost is today
The expensive work in your business is assembling the picture.
-
Somebody has to choose which million words to look at.
That choice is made before the analysis starts, by a person who does not yet know where the answer is. It is the step that hides the thing you were looking for.
-
The contradiction between two systems is invisible to both of them.
Nothing that works a department at a time will ever find it. Finance and operations each have a number, and neither has the pair.
-
An output that might be wrong has to be read by a person.
That person is the cost your business case forgot, and it grows with volume. The saving disappears at exactly the point the work gets big enough to matter.
The idea
MAIA is how a company reasons about itself.
MAIA BRAIN is a neurosymbolic AI system: a hive mind for the company. People, models and software act as one intelligence, inside the procedures you set.
-
Everything you work in is part of it.
Finance, customers, procurement, inventory, sales, controlling, manufacturing, people, projects, governance and the books. They are not applications joined to an intelligence. They are surfaces of one.
-
Work reaches it in any form.
You type, or you speak. A file arrives. Another system sends something. MAIA reads what turns up in the form it turns up in, and keeps hold of where it came from.
-
It acts, inside the rules.
Inside a procedure you have set, MAIA does the work rather than proposing it: buying, scheduling, reconciling, drafting, replying. The grant is set by you, and only you change it.
-
It does not bring a vocabulary. It uses yours.
Nobody is trained to ask questions in a vendor's language. Your words, your structure, your approval hierarchy, read as written rather than as a paraphrase.
Why MAIA BRAIN
Five differences, and none of them is a feature.
-
01 Deterministic, not probabilistic
The same question gets the same answer twice, with the rule that produced it. Work you can sign, and an audit trail that exists before the auditor asks.
-
02 It learns your business. It never trains on your data.
It gets more useful every month as it learns how you work, and none of it leaves to improve a shared model. What it learns is yours, and portable.
-
03 A fraction of the cost
2.5 times the task success of a frontier model working alone, at around a thirtieth of the inference cost. You stop rationing which data the AI is allowed to look at.
-
04 Institution-sized memory
Over 10 TB against a one million token ceiling elsewhere. The only AI that holds your whole organisation's data while it does the work.
-
05 The AI itself, not software wired to one
One system reasoning across every function, prepared around your rules and your infrastructure, on your premises if you want it. Not a vendor per department.
Every other enterprise AI sits beside your organisation. MAIA BRAIN sits inside it.
What we do
MAIA BRAIN builds solutions for businesses and organisations.
Every offering is prepared around you. Not configured for you. That is what the architecture makes possible, and it is the part a competitor cannot answer.
-
One intelligence across departments
Finance, legal, procurement, HR and logistics under one reasoning engine.
-
Plain-language querying
Ask the business a question in ordinary English and get a traceable answer.
-
Cross-system analysis
Correlate data held in systems that cannot see each other.
-
Anomaly detection and compliance monitoring
Real-time alerts, automated regulatory tracking, audit logs.
-
Workflow automation
Actions triggered by data conditions, inside the rules.
-
Document and record intelligence
Reading a large, densely cross-referenced body of records and answering against it.
-
Automated and executive reporting
Scheduled reporting, board packs, strategic decision support.
-
And five more, including a bespoke AI ERP
See the whole offering menu.
The record
One measured deployment, and what it settles.
-
1,620
documents read
Documents read, with 1,620 of 1,620 checksums matched
-
278,768
facts admitted
Admitted facts derived from them
-
1 ms
median response
Median response across 61 timed capabilities
-
52
of them answered under the threshold
Of 61, answered in under 1.5 seconds
Figures from the MAIA BRAIN technical brief, Section I. The same construction has been carried over a repository of 10.4 million source lines, from which the analyser admitted 2.31 million schemes.
A legal document estate of 1,620 documents, reconciled object by object before a single question was asked. No object without a record, no record without an object, no size mismatch, no empty file.
Then 278,768 facts derived from it, each one carrying the page it came from. The fortnight of somebody emailing four departments does not happen.
What changes on day one
From decision to live in 14 days.
Three phases, with read-only access throughout the initial stages. No disruption to existing systems, and a full audit trail from day one.
-
01
Foundation and connectivity, days 1 to 4
Secure encrypted connection to your systems. Read-only credentials prepared at database level. Schema mapping, and the first definition of your policy and rules library.
-
02
Validation and testing, days 5 to 8
Data quality checks across every connected source. Your own experts validate the reasoning. Performance benchmarking, then user acceptance with your business stakeholders.
-
03
Production, from day 9
Role-based access control live. Human confirmation required for write operations. Full audit logging and kill-switch active. Team training and onboarding.
The next step
Bring us one task that takes too long.
Pick something your team does every week that is slow because the answer sits across four systems. We will show you what MAIA reads, what it concludes and under what authority it acted. No preparation needed beyond the task itself. One meeting.