Cerebro for enterprise LLMs
Your LLM just got an upgrade.Cerebro gives it business context.
The semantic layer that connects your LLM to the systems, relationships, and rules that run your business.
Trusted by organizations including
Your model of choice
7+
Years building AI inside the U.S. DoD & Intelligence Community
1,000+
Enterprise software implementations
1 of 78
Selected as 1 of 78 companies by the DoD to build AI at national scale
The semantic layer
Cerebro sits between the models and the systems of record.
Your team keeps working in the frontier model they prefer. Cerebro supplies the business context: the ontology, relationships, rules, policy, and lineage that connect an answer to the record behind it.
Frontier enterprise LLMs
Nothing new to learn.
Ask in the model your team already uses.
Cerebro semantic layer
The business context your model cannot create on its own.
A governed semantic layer turns the relationships, rules, policy, and lineage in your systems into context the selected model can use.
Ontology + graph
Entities & concepts
Semantic reasoning
Rules & relationships
Lineage + policy
Evidence & constraints
Systems of record
SAP
Workday
NetSuite
Salesforce
Custom stores
Enterprise data
No migration project required.
How reasoning happens
Keep the same model.Change what it can understand.
A living graph of your enterprise—not another prompt dump. Cerebro maps the entities, relationships, and policies in your systems onto a shared ontology. The selected model reasons over the relevant subgraph, with sources, hops, constraints, and the records used retained with the response.
Connect
Cerebro reads entities, relationships, and policies from enterprise systems while data stays at rest.
Normalize
Equivalent business concepts map to a shared ontology so they mean the same thing everywhere.
Reason
The model walks only the relevant subgraph. Semantic Reasoning Units measure the completed work—not bulk tokens.
Prove
Every response ships with lineage: sources, hops, constraints, and the exact records used.
Cyberhill AI Factory results
Better context changes the work.Faster execution. More accurate results. Lower cost.
Lower observed cost per query
LLM alone
$4.89
Cerebro + LLMs
$0.98
AI Factory result
processing
AI Factory result
accuracy
Faster
Relevant context, not repeated data
Cerebro resolves the relationships and business rules the question needs before the model responds.
More accurate
Governed context and constraints
The selected model reasons over the relevant semantic subgraph, with policy and enterprise meaning applied.
Lower cost
Reasoning, not bulk tokens
Cerebro measures completed contextualization, retrieval, and reasoning rather than repeated data sent on every request.
Consumption aligned to value
Pay for completed reasoning.Not raw token traffic.
30–50%
average reduction in downstream token spend
What changes with Cerebro
Cerebro makes your enterprise LLM operational.
See what changes when Cerebro becomes the semantic layer behind your LLM.
| Decision point | LLM alone | Cerebro + LLMs |
|---|---|---|
| Business context | Repeated in prompts and attachments | Governed once in a reusable semantic layer |
| Authoritative data | Context is copied or uploaded | Source systems remain the source of truth |
| Reasoning path | No retained source-to-answer path | Every answer includes sources, hops, constraints, and exact records |
| Hallucinations | Expected when business context is incomplete | Eliminated by governed context and a full reasoning path |
| Consumption | Bulk tokens carry raw context on every call | SRUs measure completed semantic reasoning |
| What you own | Model access and prompt logic | Your ontology, enterprise graph, and AI IP |
Cyberhill builds the semantic layer that models how your business works, connects it to the enterprise LLM your team chooses, and supports consumption-based use as teams apply it.
Book a CallEnterprise control
Your data stays yours.So does the AI IP.
Data stays where it lives
Cerebro connects to authorized systems without a forced data migration or a new ingestion project.
Own the AI IP we build together
The ontology and enterprise graph built for your organization remain your intellectual property—not a rental.
Your AI Team
A Complete Enterprise AI
Engineering Team
Every Cerebro engagement includes the specialist disciplines required to engineer governed business context for the LLM your team chooses.
Focused Cerebro + LLMs engagement
7
days to governed business
context for your LLM
Connect your LLM to the way your business works.
Cyberhill maps the systems, entities, relationships, rules, and policies that matter; engineers the ontology; and connects it to the enterprise model your team chooses.
Map the business context
Identify the authorized systems, entities, relationships, policies, and evidence the selected LLM needs to understand.
Engineer the ontology
Cyberhill formalizes those concepts and relationships into the governed semantic layer behind the model.
Connect the chosen LLM
Cerebro connects the semantic layer to the enterprise model your team chooses while authoritative data remains at rest.
Use governed business context
Teams work through the model they already use, with answers informed by relevant business context and a retained reasoning path.
FAQ
Cerebro + LLMs — Frequently Asked Questions
Cerebro + LLMs is a descriptive name for using Cerebro's semantic layer with the frontier model your team already prefers. Cerebro supplies governed business context, semantic reasoning, and answer lineage; the selected LLM remains the user-facing model.
Cerebro + LLMs
Give your LLM the business context it needs.
Tell us where your model needs a governed understanding of the business. We’ll show you how Cerebro connects the systems, relationships, and rules behind it.
Book a Cerebro + LLMs session
Schedule a 30-minute session with our AI team to discuss the business context, systems, and enterprise model your team wants to support.
Book a Call