The zeros Ontology

Your Business Operating System

Think of it as your company's master blueprint — a living map that defines what your organization is, how it runs, and what truly matters. It pulls together critical assets from scattered systems, aligning them under your rules, definitions, and priorities.

This isn't a dashboard you check. It's infrastructure that works while you sleep — spotting inconsistencies, flagging anomalies, surfacing opportunities in real-time. When something needs attention, it either alerts the right people or kicks off a kinetic action — a predefined response that executes automatically.

Example: Sage detects an emerging supply chain delay based on patterns from past disruptions — and either notifies procurement or triggers your backup vendor protocol. No human had to notice. No meeting required.

CRM ERP Email Billing

Ontology Your data. Your rules. Your definitions.

🔔 Alerts

⚡ Actions

💡 Insights

The Context Gap

ChatGPT is available to everyone. So is Claude. So is Gemini. Your competitors have the same AI you do.

The difference isn't the model — it's the context. AI can answer general questions all day. But it can't answer "Why is OUR billing slow?" or "How did we fix this last time?" or "What's the blast radius of changing this process?"

That requires YOUR data, YOUR history, YOUR relationships. No amount of prompt engineering fixes this. The model is the last 10%. Context is the 90% that makes it work.

MySQL

Excel

CRM

ERP

Sheets

APIs

zeros is the context.

We build your business ontology — a knowledge graph that maps your entities, relationships, workflows, and rules. This is the enterprise knowledge that AI needs to actually help.

Self-learning: The more you use it, the smarter it gets — finding relationships and gaps, expanding the knowledge graph while you sleep. This process builds institutional knowledge that never walks out the door.

Once mapped, you can talk to your business. Ask questions, get real answers. But that's just proof the ontology works. The real value: AI agents that finally understand your domain.

A simplified view — real ontologies grow to thousands of nodes and millions of relationships

How It Works

Three steps to intelligence. One leap to automation.

Connect

We establish read-only connections to your databases, APIs, and SaaS tools. Your data stays where it is — PII is sanitized before analysis.

Map the Ontology

We build your business ontology — a knowledge graph that maps how your data, processes, code, and systems relate to each other.

Ask

Query your business in plain English. Get answers backed by real data, with full transparency into the source.

AI Walks the Ontology

Always on. Always learning. Always finding.

This is where it gets powerful. AI continuously traverses your knowledge graph — discovering gaps in your data, building new connections, surfacing opportunities you didn't know to ask about. Not a chatbot waiting for questions. An analyst that never sleeps.

→ Finds missing relationships before they become problems
→ Surfaces patterns across disconnected systems
→ Builds institutional knowledge automatically
→ Presents opportunities, not just answers

See the Complete Onboarding Journey →

Built for the mid-market

$50M–$500M companies with decades of operational complexity. Data spread across systems that don't talk to each other. Institutional knowledge trapped in people's heads. A board asking "what's our AI strategy?"

If your competitive advantage is domain expertise — not software — and you're feeling the pressure to figure out AI before your competitors do, we should talk.

Fractional CAIO + Platform

Starting at $25,000/month

$300K/year for executive AI leadership AND a self-learning platform. Plus ~$500-1,000/mo pass-through for LLM inference and infrastructure.

You're hiring a fractional Chief AI Officer—me—plus a dedicated AI system embedded in your data. For roughly the cost of one senior AI engineer, you get both strategic guidance and the platform that executes it.

→ Strategic AI leadership from 25 years experience
→ Full business ontology build
→ Connect all your systems (read-only, PII sanitized)
→ AI agents that understand your domain
→ 30-90 days to first intelligence

What this would cost separately:

Full-time CAIO

$350K-$500K+

Senior AI Engineer

$250K-$400K

Knowledge Graph Consulting

$100K-$500K upfront

zeros: $300K/year — CAIO + platform + ongoing delivery

Let's Talk

Common Questions

Why isn't there a cheaper self-serve option?

Because it wouldn't work. A bare-bones knowledge graph without deep ontology mapping and strategic guidance produces hallucinated or shallow results—wasting your time and killing momentum. The value is in the partnership from day one, not a self-serve tool you'll abandon in three months. A $5K/month "AI platform" delivers generic answers, misses your institutional context, and gathers dust within six months.

What does "fractional CAIO" actually mean?

You get a Chief AI Officer on retainer without the $350K+ salary. I bring 25 years of systems experience to your AI strategy—understanding your business, mapping what matters, ensuring the platform evolves with you. It's not advisory-only: I personally ensure zeros delivers value, not just advice.

What if we already have an AI team?

zeros amplifies them. Your team can build on top of the ontology instead of spending months on data plumbing. The knowledge graph becomes shared infrastructure that makes everyone's AI projects work better. I've seen internal AI teams spin for quarters trying to build what zeros delivers in weeks.

How can you serve multiple clients as a fractional CAIO?

Because I use zeros. The same platform I'm selling to you runs my own practice — tracking client stories, decisions, code changes, and institutional knowledge across every engagement. When I context-switch between clients, zeros catches me up in seconds instead of hours. It's not just a product I sell; it's how I work. The fractional model only scales because the knowledge layer does the heavy lifting.

Off-the-shelf AI gives you off-the-shelf answers.