Nimbus

The Missing Layer

Beyond systems of record

Traditional systems capture what happened. Nimbus captures why it was allowed to happen. The Context Graph is a living, evolving ontology of your business - every decision trace, exception, and precedent becomes searchable, auditable, and actionable.

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01

Decision Traces

Every decision is captured at commit time - what inputs were gathered, which policies applied, what exceptions were granted, and why. The reasoning becomes first-class data.

02

Living Business Ontology

Your complete business reality mapped as interconnected knowledge - products, markets, competitors, team, and strategy all connected and queryable.

03

Searchable Precedent

Exceptions become precedent. Similar cases are surfaced automatically. Institutional knowledge that used to die in Slack threads now compounds over time.

04

Workflow Enablement

Workflows automatically unlock based on data completeness. The system knows what context is required and guides you to enable powerful capabilities.

Live Visualization

Your business, connected

Explore how entities, decisions, and workflows form an interconnected knowledge graph. Drag to pan, scroll to zoom, and hover to explore.

The Gap in Enterprise AI

What systems of record don't capture

Agents are shipping into real workflows - contract review, quote-to-cash, support resolution - and teams are hitting a wall that governance alone can't solve.

Exception Logic

"We always give healthcare companies an extra 10% because their procurement cycles are brutal." That's not in the CRM. It's tribal knowledge passed down through onboarding and side conversations.

Precedent from Past Decisions

"We structured a similar deal for Company X last quarter - we should be consistent." No system links those two deals or records why the structure was chosen.

Cross-System Synthesis

The support lead checks customer ARR in Salesforce, sees escalations in Zendesk, reads a Slack thread flagging churn risk, and decides to escalate. That synthesis happens in their head. The ticket just says "escalated to Tier 3."

Approval Chains Outside Systems

A VP approves a discount on a Zoom call or in a Slack DM. The opportunity record shows the final price. It doesn't show who approved the deviation or why.

Neural-Symbolic Foundation

How the Context Graph works

Nimbus operates in the orchestration path - the execution flow where decisions are made. This is where we capture what other systems miss.

1

Context Capture

As workflows execute, every input gathered across systems, every policy evaluated, every exception route invoked is recorded as a structured trace.

2

Graph Formation

Decision traces naturally form a graph - entities your business cares about connected by decision events and "why" links that explain causality.

3

Precedent Search

When similar situations arise, the graph surfaces relevant precedent automatically. "We handled this case last quarter - here's what we decided and why."

4

Continuous Learning

Every automated decision adds another trace. Every human override enriches the graph. The system compounds into an institutional memory that gets smarter with every workflow you run.

Enterprise Intelligence

What becomes possible

The Context Graph enables capabilities that don't exist in most enterprises today - because the reasoning connecting data to action was never treated as data in the first place.

Audit & Debug Autonomy

Replay any decision. See exactly what context was gathered, what rules were evaluated, who approved what, and why.

100%
Decision Audit
Complete
Replay Accuracy
Built-in
Compliance

Exception to Precedent

Turn one-off exceptions into searchable precedent. Stop re-learning the same edge case every quarter.

95%
Knowledge Retention
<200ms
Lookup Time
Cross-system
Coverage

Near-Zero Decision Latency

Tighten the gap between something happening in the world and your organization responding intelligently to it.

Minutes
Response Time
70%+
Automation Rate
Always available
Human Override

Real-World Impact

Context Graph in action

See how the Context Graph transforms decision-making across the enterprise.

SaaS

Renewal Agent with Full Context

Challenge

Renewal agent proposes a discount that exceeds policy limits

Solution

Agent pulls SEV-1 incidents from PagerDuty, escalations from Zendesk, and prior renewal where VP approved similar exception. Routes to Finance with full context.

Outcome

Finance approves in minutes, not days. The decision trace becomes precedent for future renewals.

15min
Decision Time
5 systems
Context Gathered
Searchable
Precedent Created
Enterprise Sales

Deal Desk Automation

Challenge

Complex deal structures require manual review and often repeat past patterns

Solution

Context Graph surfaces similar deals from the past, shows how they were structured, who approved what, and the outcomes.

Outcome

Deal desk operates at 3x velocity with better consistency and full audit trail.

3x
Velocity
94%
Consistency
Always
Audit Ready
Financial Services

Compliance Intelligence

Challenge

Regulatory requirements span multiple systems with no single view of how policies are applied

Solution

Every policy evaluation and exception is captured with full lineage. Compliance can query: "Show me all cases where we deviated from policy X."

Outcome

Audit prep reduced from weeks to hours. Regulators can see exactly how decisions were made.

-85%
Audit Prep
<1s
Query Response
Complete
Lineage
"Context Graphs will redefine how companies compete. Nimbus turns every workflow into compounding decision memory that collapses decision latency and makes execution scale like software."
CTO, Nimbus Intelligence

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