Multi-model chat
Change the model while keeping the conversation and its source-backed workspace context together.
Explore Y2 ChatContext as a Service for real-world intelligence
Turn changing signals into context people and AI can reuse
Context as a Service delivers the relevant, source-backed state of a topic to a person, model, or agent on demand. Y2 builds it from intelligence feeds, recurring research, private project evidence, and an ontology that preserves entities, relationships, time, and provenance.
Here, Context as a Service means a real-world intelligence context layer. It is not Containers as a Service, Content as a Service, or a claim that Y2 owns the third-party material cited in a workspace.
The context loop
A current answer is useful. Reusable context compounds.
Y2 keeps the source trail and connected facts around an answer, so the next workflow can start from prior evidence instead of rebuilding the same search.
- 01
Observe changing evidence
Research external signals and private project material around a defined operating question.
- 02
Resolve identity and time
Distinguish the people, organizations, places, incidents, and moments that the evidence describes.
- 03
Connect the source trail
Preserve relationships, observations, citations, and provenance through an ontology-backed graph.
- 04
Reason with bounded context
Give a person or model the evidence relevant to the operating question without flattening its sources.
- 05
Deliver it to the workflow
Move reports and structured context into the UI, email, SMS, audio, webhooks, MCP, or API.
- 06
Compound prior work
Carry prior evidence into later chats, reports, projects, automations, and API workflows.
Product proof
Change the model. Keep the context.
Multi-model access is only the interface. The durable advantage is the evidence, graph, operating question, and prior work that can move with it.
Evidence-backed signals
Turn emerging changes into decision-support signals connected to their entities, incidents, and sources. Review consequential results before acting.
See use casesKnowledge graphs and ontology
Preserve identity, relationships, provenance, and time so a brief becomes reusable context instead of a dead end.
Read the graph API docsAn AI workspace and context API
Organize private project evidence, run recurring work, and deliver results through MCP, API, or webhooks.
Explore ProjectsAvailability
What Y2 provides today—and what remains limited
| Status | Capability | Boundary |
|---|---|---|
| Available now | Profiles, Chat, Projects, graphs, signals, delivery, API, MCP, and webhooks | Access and limits follow the active workspace plan. |
| Eligible plans | Automations and new API credentials | Automations and new API keys require Pro or Elite. |
| Private beta | Y2 Global Knowledge retrieval | Production availability is limited to approved private-beta workspaces. |
| Product direction | Broader reuse of authorized workspace context | Direction, not a promise of timing or availability. |
Explore the evidence
See the product contracts behind the category language.
Build on context, not another blank prompt
Start with a question in Chat, turn it into recurring research, and deliver the result to your team or agent stack.