Context fragments
Each tool starts with a partial view. People repeat background, recover old decisions, and reconcile conflicting answers.
Enterprise operating context for AI
Enterprise AI needs context, control, and continuity.
Koinaxis is the commercial brand for State, the working name of a governed platform that helps people, AI agents, and applications work from the same facts, relationships, decisions, work, and sources.
Koinaxis
Facts
Decisions
Work
Sources
The product story
The model changes. The organization’s context should not disappear with it.
Teams are adding copilots and agents faster than they are building the context layer those systems need. Useful facts stay trapped in individual chats, applications, and model histories.
Memory lacks ownership
Conversation history is useful, but it is not an authoritative organizational record with clear access and source boundaries.
Governance arrives late
Without a shared layer, provenance, approvals, and operating limits get added separately to every AI application.
State, the working platform
One context layer. Multiple agents and applications.
State is the working name of the platform behind Koinaxis. It gives approved systems controlled access to shared context without tying the organization to one AI model or application.
- Represent facts, relationships, decisions, work, and supporting sources.
- Keep shared context outside any single model’s conversation history.
- Give different applications a consistent integration boundary.
InputsPeople, systems, documents, and approved agent observations
Context layerKoinaxis / State
AccessControlled use by approved systems
ApplicationsAI agents, operating workflows, and intelligence products
Enterprise governance
Context is only useful when people can trust how it got there.
The platform is designed around explicit records and controlled access, not an opaque pool of model memory.
Source-aware records
Facts and decisions can retain who asserted them and the source they came from.
Decisions stay distinct
Human decisions, system facts, relationships, and work remain separate record types.
Authenticated access
Access is authenticated, with authorization and project isolation designed into the service.
Model independence
Shared context lives outside the model, so an organization can change tools without abandoning its operating memory.
Applications shaped by State
One governed foundation. Different kinds of intelligence work.
State is not limited to one application. The same operating context can support focused work while keeping each domain’s evidence, decisions, responsibilities, and approval boundaries distinct.
In development
OIE
Opportunity Intelligence Engine
Turn scattered opportunities into governed decisions and work.
OIE is a developing intelligence application that uses State as its authoritative context. Its direction is to reconcile evidence, deadlines, work, and governed decisions around business opportunities while keeping approval-gated actions with a person.
OIE is a developing application, not a launched product. No commercial availability or customer adoption is being claimed.
CIEInternal workflow
Career Intelligence Engine
Keep the whole career pursuit connected.
CIE coordinates the evidence and work around a career search: roles, organizations, contacts, interviews, decisions, and the documents produced for each pursuit. It keeps the agents doing that work aligned to the same career record.
CIE is an internal operating workflow, not a launched standalone product.
SDIEProposed
Software Development Intelligence Engine
Carry delivery context across the software lifecycle.
SDIE is a proposed application for coordinating requirements, delivery decisions, evidence, testing, and handoffs across the people and AI agents involved in software work.
SDIE is proposed. No launch or commercial availability is being claimed.
For investors and design partners
A platform thesis grounded in a working system.
Koinaxis starts with a direct premise: enterprise AI needs durable context, explicit governance, and a consistent foundation independent of any one model. The underlying platform is working and in active development. The commercial model, pricing, and go-to-market plan are still being developed.
Built by Jim Applebee.
Enterprise architect and hands-on engineer with experience across shared platforms, regulated delivery, cloud systems, APIs, identity, and AI-assisted workflows. Koinaxis is being developed through Applebee.io.
Start with the working system
See the platform. Ask hard questions.
Request a product demonstration or a direct conversation about the product, enterprise use cases, governance model, and current stage.