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

A ChatGPT subscription isn't an AI strategy.

LLMs are commodity. Context is the product.

Build a self-learning knowledge graph that makes AI actually work for your business. Institutional knowledge and AI agents in 30-90 days.

Let's Talk See How It Works

Connects to your existing systems

REST APIs + more

This is what AI looks like when it actually knows your business.

zeros intelligence
Ask anything: |

Cross-referenced from CRM, ERP, billing, support tickets, and pipeline data. In seconds.

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.

owes hired for assigned created by reports to billed to approved LTV contributes cost center contact payment processed sent channel margin risk impacts forecasts trend Customer Project Invoice Employee Manager Revenue Email Payment Risk Forecast

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

Built for Real Businesses

Node, PHP, .NET, Python — legacy databases, modern APIs, custom ERPs, duct tape and prayers. If your stack is "whatever we've built over the years," we speak your language.

No rip-and-replace. No 6-month implementation. We work with what you have.

Node.js / TS
PHP 7.x / 8.x
MySQL / Postgres
.NET / Python
Legacy ERP
Custom CRM
We work with all of it

You can't automate chaos.

Everyone wants AI agents and automation. But you can't automate what you don't understand. zeros is stage zero — the foundation that makes everything else possible.

1
Connect
Your systems finally talk to each other
2
Understand
See patterns you couldn't see before
3
Capture
Business rules become institutional memory
4
Automate
Now AI agents can actually help

Most companies are stuck at zero, dreaming of step four.
Understand your business today with on-demand intelligence.
Know exactly how to automate tomorrow.

How It Works

Three steps to intelligence. One leap to automation.

1

Connect

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

2

Map the Ontology

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

3

Ask

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

4

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.

AI is moving fast. Your competitors are figuring this out right now. The question isn't whether to start — it's whether you'll be ready when it matters.

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.

Marc Ohmann

Marc Ohmann

Your Fractional Chief AI Officer

25 years building and maintaining business systems. I've watched AI go from science fiction to board meeting agenda item — and I've seen most companies paralyzed by it.

zeros isn't software — it's hiring me as your fractional CAIO, plus a dedicated AI system embedded in your data. For roughly the cost of one senior AI engineer, you get both strategic AI leadership AND the platform that executes it. Why "zeros"?

When you work with zeros, you're working with me. I answer the emails, I understand your systems, I map your ontology, and I ensure the platform evolves with your business.

Let's Talk

15 minutes. No pitch deck. Just your questions, answered.

We'll respond within 24 hours. No spam, ever.