The zeros Platform

Four layers that transform scattered business data into decisions that make you money. Not a dashboard you'll forget to check. Not a chatbot that hallucinates. Intelligence that understands your business and acts on what it finds.

Intelligence Layer Where the value lives
What You Experience
Five capabilities that answer your questions, remember your decisions, spot problems before they cost you money, and take action automatically.
Decision Memory Time Travel Kinetic Actions Pattern Learning Knowledge Flywheel
Reasoning Layer zeros handles this
How It Thinks
AI that understands context, follows your business rules, and improves based on what works. Not a generic model—one trained on your domain.
Language Models Governance Rules Learning Loop Audit Trail
Knowledge Layer zeros handles this
What It Knows
Your business relationships, your historical patterns, your decisions— structured so AI can actually use it, not just keyword-search through it.
Relationship Graph Semantic Search Entity Mapping Version History
Integration Layer Your systems
Where Your Data Lives
Salesforce, QuickBooks, NetSuite, SharePoint, your custom databases— we connect to what you already have. Read-only. Your data stays where it is.
CRM ERP Accounting Documents Email Custom DBs
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The Intelligence Layer

This is what you're paying for. Five capabilities that turn data into money.

01

Decision Memory

"Why did we decide that?"—answered instantly, forever.

Every significant decision gets captured with its rationale and context. When someone asks "why do we do it this way?", zeros traces the decision chain back to its origin—who decided, when, and why.

This isn't documentation nobody reads. It's institutional memory that surfaces exactly when relevant—before you contradict a past decision or repeat an expensive mistake.

How this makes you money
Stop re-litigating settled decisions. Onboard new people faster. Pass audits without scrambling for documentation.
🧠
Decision Trace
Live
> Why do we require dual approval for refunds over $500?
Policy established March 2024 after Q1 audit found 3 fraudulent refunds totaling $12K.
📍 Decision by CFO | Active since Mar 15
📎 Linked: Audit Report Q1-2024, Refund Policy v3
02

Time Travel

See any state at any point in time.

"What was this customer's status 6 months ago?" Most systems only tell you what's true now. zeros versions entity states over time, so you can query historical snapshots and understand how things evolved.

When something breaks, you can trace backwards. When trends emerge, you can see them forming. It's the difference between a snapshot and a movie of your business.

How this makes you money
Catch churn signals earlier. Understand what changed when revenue dipped. Stop asking "how did we get here?"
⏱️
State History
Building
> Show Acme Corp health trend
Jun: 0.85 (Healthy)
Sep: 0.62 (At Risk) ⚠️ Support tickets +3x
Dec: 0.41 (Critical) ⚠️ No CSM contact 47 days
📍 Trigger detected Sep 12: support_spike
03

Kinetic Actions

Data that acts, not just informs.

Most BI stops at "here's what's happening." zeros goes further: when a pattern is detected, it triggers actions automatically. Customer at risk? Start the re-engagement campaign. Inventory low? Create the purchase order.

Actions are native to the knowledge graph—when a threshold is crossed, the corresponding action fires with full context and audit trail. No human bottleneck for routine responses.

How this makes you money
React in minutes instead of days. Never miss a signal because someone forgot to check a dashboard. Scale your response without scaling headcount.
⚡
Trigger → Action
Live
> Exception detected in production
✓ Issue tracked: STORY-089
✓ Ticket created: assigned to dev team
✓ Alert sent to on-call
⚡ Triggered: exception_detected
🎯 Actions: track, ticket, alert
04

Pattern Learning

Your corrections become system intelligence.

When zeros proposes a connection and you confirm it, that's training data. After enough confirmations of "support spike → churn risk," zeros learns to recognize and flag that pattern automatically.

This is domain-specific machine learning without the ML team. Your business experts teach the system what patterns matter, and it learns to spot them at scale.

How this makes you money
Capture tribal knowledge before people leave. Scale expert judgment across the whole organization. Get smarter every day without additional effort.
🔄
Learning Loop
Live
> Pattern: "late_delivery" → "complaint"
Confirmed 7 times. Promoted to auto-detect.
📊 Confidence: 87% | 7 confirmations, 1 rejection
🔗 Now triggers: proactive_outreach
05

Knowledge Flywheel

Every deployment makes the next one smarter.

Patterns learned from one client (anonymized) improve the system for everyone. The "support spike → churn risk" pattern discovered in SaaS applies to services. The "delivery delay → complaint" pattern from logistics applies to e-commerce.

Each client benefits from collective intelligence without sharing proprietary data. This is network effects for business intelligence.

How this makes you money
Faster time-to-value. Start with proven patterns, not a blank slate. Benefit from lessons learned across industries.
🌀
Cross-Domain Learning
Building
> New client: Manufacturing, 50 employees
Suggested patterns from similar domains:
• Inventory management (Logistics)
• Quality incidents (Manufacturing)
• Supplier relationships (Supply Chain)
📊 12 patterns available | 72-91% confidence

The Model is Commodity. Context is the Product.

Everyone has access to GPT-4 and Claude. The model is the last 10%. Context is the 90% that makes AI useful for YOUR business.

zeros builds that context: structured knowledge about your domain, your processes, your decisions. These five capabilities are what transform generic AI into your competitive advantage.

See It Working

This isn't a roadmap deck. We use zeros to build zeros. Let us show you what enterprise intelligence looks like in practice.

How Onboarding Works Schedule a Demo