Companies that trust Connecthink
AI doesn’t fail for lack of models. It fails for lack of context.
GenInContext gives every assistant, agent and automation your organization’s governed knowledge, evidence and judgment.
Governed knowledge
A shared, reusable and traceable foundation that preserves meaning, relationships, evidence, provenance and organizational judgment.
Applicable context
Every query, agent or workflow receives the relevant, authorized evidence, criteria and context it needs for its task.
Controlled operation
People, agents and systems use that foundation with permissions, traceability, oversight and different levels of autonomy depending on the case.
Scaling
New domains, agents, processes and consumers reusing the foundation.
- Building applied AI since
- 2016
- Organizations that trust us
- 24
- Governed AI pieces on one shared base
- 4
- Deployment modes: cloud, hybrid and on-premises
- 3
Four pieces. One base.
One cognitive foundation, adapted to different sectors and maturity levels
Public sector
Scale public-sector AI without multiplying silos: regulations, procedures, case files, evidence, permissions and criteria on a cross-cutting knowledge infrastructure.
Corporate
For organizations already running copilots, vertical platforms, agents and automations: a shared layer of knowledge, context and judgment.
SMEs
Launch assistants and automations without building a complex stack from scratch, leaving a reusable foundation for future use cases.
Real projects, not just talk.
Public sector · JusticeAI that assists legal professionals
Assisting legal professionals with case files, case law and evidence, with explainability and human oversight.
CorporateSales proposals built on technical knowledge
Generating and supporting commercial proposals based on governed technical and documentary knowledge.
Industry · R&DA Cognitive Digital Twin in manufacturing
Cognitive Digital Twin and human-AI collaboration in liquid probiotic manufacturing.
- Where you decide
- Cloud, hybrid or on-premises, according to your organization’s requirements.
- No model lock-in
- The model provider is chosen, and can be changed.
- Fits what you already have
- APIs and MCP to coexist with your current ecosystem.
- Auditable, with people in the loop
- Audit-ready and Human-in-the-Loop: you decide which decisions go through a person.
Let’s talk about your case.
We can assess how GenInContext fits with your systems, your agent platforms or a new solution.