Decision Intelligence for teams who need answers, not another stack to integrate.
We started Ontio after watching too many smart teams drown in fragmented data.
Mid-market companies, the ones doing $50M to $5B in revenue, are stuck in an impossible middle: too big for spreadsheets, too lean for a massive data team.
So they assemble the modern data stack: warehouses, BI tools, ML platforms, observability layers. Multiple vendors, years of integration, millions spent and still, when leadership asks, "Why did churn spike last quarter?" the answer takes days or weeks.
We saw this firsthand while building Data, AI, and ML platforms inside companies that already had modern infrastructure and talented analysts. The issue was never a lack of tools. The issue was that the tools couldn't reason.
They could query and visualize data, but they couldn't connect signals across systems, understand context, and explain what's happening, why it matters, and what to do next.
That's why we built Ontio.
Your data should answer questions: not ask you for another sprint of wiring.
From raw data to a defensible answer in minutes — not months. See a live walkthrough of a real decision loop.
Watch full demo →A petabyte you can't ask questions of in plain language is a liability, not an asset.
Black-box AI is unacceptable for decisions that matter. The reasoning trail is part of the product, not an afterthought.
When every system defines "customer" or "revenue" differently, no dashboard can save you. Alignment starts with definitions.
Role-based access, lineage, audit trails, and tenant isolation aren't checkboxes we added late. They're how we built the platform from day one.
The companies between 100 and 5,000 employees are the engine of the economy. They shouldn't have to choose between Excel and a $2.5M integration project.
We'd rather take an extra second to ground a response in your governed business model than generate a confident hallucination.
We're a small team that ships.
We don't believe in 18-month implementations or six-figure professional services engagements before a customer sees value. Our pilot model is intentionally lightweight: a single domain, a single high-stakes decision loop, co-developed success criteria, measurable KPIs. Most customers see their first reasoned answer in their first session.
We don't believe in lock-in.
Your systems of record stay where they are. The business model we build with you—the definitions, relationships, and rules—is yours. Your deployment is your choice.
Our platform is customizable to your needs.
Integrations, business definitions, workflows, and governance rules are configured around how you operate—not a generic template your team has to work around.
We don't believe in opaque AI.
Every output is auditable. Every decision is defensible. Every reasoning trail is yours to inspect.
Ontio reasons across your existing systems: PostgreSQL, your CRM, your document stores, your product telemetry.
Most AI tools find correlations and call them insights. Ontio is built on causal reasoning frameworks that distinguish what's actually driving an outcome from what merely co-occurs with it. That's the difference between a guess and a decision.
Enterprise platforms are too heavy. Self-serve BI tools are too shallow. Ontio is the first Decision Intelligence platform purpose-built for mid-market complexity: where the data is real, the budget is finite, and the stakes are growing.
Every recommendation Ontio surfaces comes with the full reasoning chain: which data, which logic, which assumptions. Your team can defend any decision in a board meeting, an audit, or a customer escalation.
Ontio is built for mid-market enterprises, typically 100 to 5,000 employees, $50M to $5B in revenue, operating in industries where decisions have consequences. Financial services. Healthcare. SaaS. Industrials. Retail and CPG. Any business where leaders are accountable for outcomes they can't currently explain.
We work best with leaders who are:
Tired of dashboards that describe the past but never explain it
Frustrated that their AI investments still require an analyst in the loop
Wary of black-box recommendations they can't defend to a board, auditor, or regulator
Done waiting two years and $2.5M to get a unified view of their own business
If that sounds familiar, we should talk.