U
Unify context without centralizing everything
GIC creates a shared foundation of meaning, relationships, evidence and criteria that different solutions can use.
Corporate
Govern and connect your AI ecosystem on a shared foundation
For organizations already running copilots, vertical platforms, agents and automations, GenInContext provides a shared layer of knowledge, context and judgment that reduces fragmentation and lets domains share the same organizational reality.
The challenge is no longer adopting AI: it's avoiding a new wave of fragmentation
As use cases grow, so do duplicated sources, prompts, rules, connectors, vendors and criteria.
C
Keep control of the cognitive asset
The knowledge and logic you build stay under the organization's control, not locked into a single agent builder or LLM.
D
Expand domain by domain
Sales, support, operations, compliance, engineering or procurement can grow on a shared governed foundation.
Works alongside your stack and existing investments
GenInContext complements the corporate ecosystem through open integration.
GIC as a shared layer
The Knowledge Foundation can be used by agent platforms, applications and workflows. Certain activation capabilities can be exposed through APIs, endpoints and MCP to integrate into existing architectures.
Knowledge Foundation
- Cognitive Digital Twin
- Graphs, metadata, evidence
- Ontologies and schemas
- Versioning and provenance
AI Specialists
- Governed context
- Contextual interpretation
- Domain specialists
- External capabilities
Solutions & Actions
- Assistants and workflows
- Recommendations and agents
- Human-in-the-Loop
- Authorized actions
No structural dependence on a closed architecture
Corporate sovereignty also means keeping the ability to evolve and replace components.
L
LLM independence
Models selectable by policy, cost, latency, language and criticality.
K
Portable knowledge
Ontologies, schemas, graphs and evidence as an organizational asset.
↔
Open integrations
APIs, connectors, events and MCP depending on the architecture.
G
Shared governance
Common permissions, evidence, oversight and traceability across domains.
Corporate use cases
The value lies in reusing a shared foundation, not in building a different chatbot for each department.
S
Technical knowledge and support
Assistants and agents that retrieve evidence, interpret context and justify results.
O
Proposal and document generation
Assisted creation with governed rules, technical data, templates and evidence.
P
Operations and processes
Automations with deterministic tools, human validation and traceability.
Q
Compliance and quality
Lookup of requirements, procedures, evidence and validity control.
P
Procurement and supply chain
Shared context on suppliers, contracts, policies and operations.
E
Engineering and R&D
Technical knowledge, requirements, experimental results and decision traceability.
Featured experience
M
Corporate
Mitsubishi Electric — commercial proposals
Using technical and documentary knowledge to assist proposal generation while preserving the domain's structure and context.
Frequently asked questions
Does GenInContext replace our current AI platforms?
No. It is designed to work alongside existing copilots, agent builders, vertical solutions, applications, data and automations, providing a shared foundation of knowledge, context and governance.
How does it reduce lock-in?
It separates the cognitive asset from any single model or platform, allowing components to be integrated or replaced while keeping knowledge, evidence and organizational logic under the company's control.
Can our team evolve the Cognitive Digital Twin?
Yes. Knowledge, ontologies, schemas, rules and evidence can be expanded domain by domain, with governance and validation by the organization's experts.
Can GIC provide context to our own agent platform?
Yes. The Knowledge Foundation and certain activation capabilities can be exposed through APIs, endpoints and MCP so that external agents and applications can use them.
Ask the assistant
Connect GIC to an AI ecosystem that already exists
If you already use copilots, agent builders, vertical platforms or automation, ask how GIC can fit in without replacing them.
Have a different question?
Already have AI deployed, but context is still fragmented?
We can analyze where a shared foundation of knowledge and context would add the most continuity and governance.