Consolidated
One context layer across tools
Connect knowledge, workflow state, and reasoning across existing tools. Bring selected content into GraphLogic only where it supports the work.
Context Graph
See how your
business connects.
GraphLogic connects goals, people, systems, documents, decisions, and reasoning in a shared context layer. Use existing systems, query supported sources in place, and preserve the source trail behind every answer.
Let's Connect
ONE QUESTION · EVERY SHAPE OF DATA
Ask: Which customers had an incident last quarter where the remediation cited our data-retention policy?
Entity
Northwind Mutual · Tier-1 customer, EU region
Process
Incident #4-118 · remediation workflow, closed in April
Document
Retention Policy §4.2 · the exact clause the fix cited
Reasoning
Remediation decision · who approved it, and why
Every result carries its source
Provenance: full
The problem
Business questions cross system boundaries.
A customer issue may involve an account record, a service ticket, a policy, and a past decision. The work is not finding one record; it is connecting the relationships between them.
Connections take work
Teams spend time matching records and reconciling context across systems before they can answer a shared question.
No memory of "when"
Current records do not always show what was known when a decision was made. Without captured history, its original basis can be difficult to reconstruct.
Sources are hard to trace
Reviewers need to see where a figure or claim came from. Reconstructing that trail takes time when source references are missing.
How it works
The context layer for people and AI.
The context graph links knowledge shapes, source references, history, and reasoning so teams can ask business questions that cross system boundaries.
01
Every shape of knowledge, one graph
Business entities, documents, semantic search, workflow state, and reasoning share one logical model. Relationships connect information inside GraphLogic with live context from supported external sources.
Capability: a multi-shape substrate under one logical schema.02
Time is built in, not bolted on
The graph tracks when information applied and when it was recorded. Captured history lets teams review the information available at an earlier decision point.
Capability: bi-temporal history with point-in-time replay.03
Trace information to its source
Provenance relationships connect facts and conclusions to the records, documents, and reasoning steps behind them, giving reviewers a source trail they can inspect.
Capability: source relationships linking information and reasoning.04
Memory that knows the difference
Retrieve knowledge according to the question being asked: related entities, recent events, established procedures, or prior reasoning that should shape the next decision.
Capability: typed memory kinds with purpose-built retrieval strategies.
ONE SUBSTRATE · FIVE SHAPES
EntitiesCustomers, systems, products
DocumentsPolicies, contracts, reports
VectorsSemantic search, native
ProcessLive workflow state
ReasoningDecisions and their why
Time + provenance across all five
One logical model connects information across these five forms.
What it means for you
A reasoning layer over the systems you already use.
Start with the sources and relationships needed for one business question. Extend the context layer as additional use cases emerge.
Trusted answers
Visible source references
Follow a result back to its linked source and reasoning so your team can verify it before acting.
Time travel
Defend past decisions
Review the history captured in GraphLogic to understand the evidence available when a decision was made.
AI-ready
Business context for AI
Give AI relationships, source references, and recorded history it can use under reviewable reasoning.
Ready to connect the dots?
Bring a question that spans systems. We'll map the information, relationships, and reasoning needed to answer it.
Let's Connect