Enterprise Reasoning Intelligence
An intelligence that knows your enterprise.
Atlas is KOREV's reasoning engine: an intelligence specialized and contextualized on the organization's knowledge and processes, so that agents can understand before they act.
Data and models are distributed according to their sensitivity. External connections and provider terms are defined with the organization.
Where it fits in the architecture
- Evidence — agents and orchestration
- PRISM — control and approval
- Atlas — Enterprise LLM and reasoning
Atlas turns your enterprise's knowledge into operational intelligence.
The problem
A general-purpose model does not understand your enterprise's real context.
Public general-purpose models perform well within their general scope, but they know nothing of your internal procedures, your business vocabulary, your regulatory reference frameworks, or the history of your judgment calls. For some enterprise processes where analysis requires a specific understanding of the organization, a generic LLM is not enough on its own.
- 01Missing context: general-purpose models know neither your internal procedures nor the history of your operational judgment calls.
- 02Specific vocabulary: the semantic, contractual, and regulatory subtleties of your sector escape generic models.
- 03Dormant assets: the organization's documents and reference frameworks remain passive archives instead of feeding an active intelligence.
- 04External dependencies: routinely sending sensitive data to remote public APIs creates critical dependencies and weakens control over the data.
Use
What Atlas brings to your operations.
Atlas turns your organization's knowledge and processes into a shared reasoning engine that powers your agents and secures your analyses.
Understand the business context
Interpret the case files, procedures, internal reference frameworks, and rules specific to your organization to place each task in its operational reality.
Reason over your knowledge
Draw on the relevant parts of your information assets to analyze a situation, connect facts, and prepare a reasoned conclusion.
Power Evidence agents
Provide a shared cognitive foundation to all specialized agents so they share the same understanding of the enterprise before acting.
Business outcome
What the organization gains with Atlas.
- Domain intelligence shared by all the Evidence agents deployed across your processes
- Less reliance on context manually and laboriously re-injected into every prompt
- The organization's own procedures, rules, and vocabulary taken into account directly
- Your enterprise assets preserved within controlled infrastructure, with no transfer to public models
- The option of an on-premises deployment in your infrastructure, with no mandatory dependency on a remote API
- A clear architecture: Atlas understands the enterprise, Evidence organizes the agents, and PRISM secures what is critical
How it works
The enterprise intelligence loop: from data to reasoning.
Atlas combines general deductive capabilities with enterprise contextualization. It powers Evidence agents and improves through expert-verified feedback in governed cycles.
Step 01 / 05
Enterprise assets
Documents, procedures, rules, history
Distinctions
What Atlas is — and what it is not.
Four key distinctions to pin down exactly what kind of technology Atlas is, in the face of recurring misconceptions.
Not a database
A database or data lake stores information; Atlas is the cognitive engine that draws on it to interpret, contextualize, and reason.
Not a simple RAG system
Contextual retrieval can be part of the architecture, but it does not define Atlas: the model has deductive capabilities suited to business processes.
Not a raw absorption of your data
Specialization is governed: KOREV does not claim to blindly inject all of the organization's raw data into the model's neural parameters.
Not uncontrolled self-evolution
Atlas does not train itself on its own in production. Every model adaptation is a human-supervised operation, evaluated and kept separate from day-to-day operations.
Architecture
Atlas understands, Evidence operates, PRISM secures what is critical.
Atlas is KOREV AI's language model and reasoning engine: it gives Evidence agents an understanding of the enterprise context before any action. Evidence orchestrates the workflows and organizes human review. PRISM steps in conditionally on critical flows to cross-check several independent models and suspend processing if the validation criteria are not met.
Evidence organizes the workflow and interacts with Atlas for context and reasoning. After the criticality assessment, processing either follows the standard path or branches to PRISM when critical control is required. The result then returns to Evidence.
Routing by process and policy
The workflow can classify processing by its sensitivity and the applicable policy in order to adjust the level of control.
Direct processing
Searches, information summaries, and routine analyses run directly, without systematically triggering multi-model control.
Result · Sources · Required approvals
Deliverables are returned to the operational workspace with their justifications and the configured human review points.
Atlas
Enterprise Reasoning Intelligence
The reasoning engine that gives agents the context, knowledge, and business understanding needed for the work.
- Human oversight
- Sources & trace
- Governance
- Data control
Capabilities
Capabilities of the Atlas reasoning engine.
Enterprise reasoning & language
Logical deduction, semantic analysis, and structuring capabilities suited to sensitive professional use.
Multi-source contextualization
Coordinated use of internal documents, procedures, reference frameworks, and business databases to inform each task.
Shared cognitive foundation for agents
Gives Evidence agents the context and rules they need to interpret case files and prepare deliverables.
Controlled specialization
Targeted adaptation on enterprise knowledge, without claiming to inject all of the data raw into the parameters.
Governed continuous improvement
Periodic integration of expert feedback and approved judgment calls in supervised adaptation cycles, with no unchecked self-evolution.
Deployment on sovereign infrastructure
Can run as close as possible to the data (dedicated European cloud, hybrid environment, or local server), keeping data flows sealed off.
Version management and traceability
Rigorous registry of model versions, adaptation dates, and the corpora used for each deployment.
Evidence & PRISM interoperability
Natively powers Evidence operational agents and can be brought into the cross-checking frameworks arbitrated by PRISM.
Control of external dependencies
Can run locally on suitable models, allowing operation without any imposed reliance on third-party remote APIs.
Governance
Governance of knowledge and models.
Atlas governance aims to keep every adaptation step and every use of a corpus traceable, auditable, and strictly controlled.
Regulatory compliance depends on the context, the system, its use, and the organization's role. KOREV provides technical governance capabilities; on its own, it does not constitute a legal certification of compliance.
- Registry of model versions and logging of deployed adaptations
- Documentary sources, internal corpora, and reference frameworks identified and timestamped
- Traceability of the context, sources, and operations used during processing
- Mandatory human oversight for the approval and integration of any new corpus
- Strict separation between production inference and adaptation cycles
- Strictly no unsupervised self-training on production data
Deployment
Deploy Atlas as close as possible to your data.
The model and its reasoning engine run in the technical and legal environment that fits your confidentiality requirements.
Dedicated European cloud
Hosting under European jurisdiction, an isolated and secured environment, and a quick start for your first use cases.
Hybrid architecture
Atlas and sensitive data hosted in your private infrastructure; a filtered gateway to external services according to the defined policies.
On-premises / private infrastructure
Model, knowledge, and data confined to your local infrastructure (dedicated local server such as MSI, private cluster), with no mandatory dependency on a remote API.
Use cases
Where specialized enterprise intelligence makes the difference.
Industry & engineering
- Industrial sites and segregated plants
- Proprietary technical knowledge and patents
- Quality documentation and maintenance procedures
Healthcare & research
- Medical records and sensitive health data
- Clinical protocols and scientific corpora
- Hospital environments with data isolation
Finance & risk
- Credit policies and lending committees
- Traceability requirements for calculations and scores
- Compliance and anti-fraud procedures
Legal & public sector
- Professional secrecy and strict confidentiality
- Document collections and internal case law
- Deployment within a sovereign administrative perimeter
An intelligence that knows your enterprise.
Let's discuss your context, your business reference frameworks, and your sovereignty requirements to configure Atlas at the heart of your operations.
KOREV — AI that shows its work.