OYO AI

What the product is

OYO AI's No-Code / Low-Code Platform is a visual builder for internal tools, workflows and portals. It is aimed at operations teams and the business owners of a process, who build the tool themselves inside rules that IT defines one time. It is the "Build" product in a 5-product suite from OYO AI Inc, a company with a Houston, Texas address, and it shares a data model with the suite's automation, intelligence and ERP products.

What you build and how

The page frames the whole product around one problem: "Operational software dies in the backlog." Requirements get written, reprioritized and shipped a year late, and the process has moved on by then. The company's answer is that "the people who own a process build the tool for it, inside guardrails IT sets once."

The editor. You work on a canvas and compose forms, tables, charts and kanban boards from data-aware components, "with little to no code." The workspace shown on the page has sections for Home, Form Groups, Workflows, Contexts, Library, Users and Settings, and the sample builder screen is an intake form with text, select, date, table, upload and sign elements, plus Publish and Save Draft buttons. The sample form is a maintenance request with a request type, a priority and a site field.

The data layer. Every app "reads and writes the same governed data model as the rest of the platform." The company's pitch is no exports, no shadow spreadsheets and no brittle one-off integrations, with one source of truth shared across the business. The first of 4 build steps is to "point at your data or define new objects in the shared model," so you can start from data you already hold or create new objects.

Logic and automation. The platform covers approvals, notifications and multi-step logic that fire on any event. That is the part of the product a reader who arrives from the process-automation category will care about. The company's separate Business Process Automation product goes further: it describes turning manual, multi-step processes into automated flows, with approvals, hand-offs and exceptions handled "without the chase," and a record of every step. The sample approval flow runs from request received, to review and approve, to update record.

Governance. Permissions, data access and review gates are set by IT once, and every app inherits them. Reusable components let you save layouts, logic and styles as building blocks for the whole organization. Every change is versioned and logged, with one-click rollback and a full audit trail. For an IT team, this is the core of the offer: many builders, one set of rules.

Publishing. The fourth build step is "Publish to web and mobile with governance already applied." The page lists field data capture on mobile, online or off, as a use case.

What the end user gets. The four use cases the page names are operations portals ("one place for teams to run day-to-day work"), approval workflows that route requests, sign-offs and exceptions, field data capture, and customer portals that offer self-service on your own data.

The rest of the suite. The company sells 5 products on one shared data model: the no-code platform, process automation, process intelligence (finding bottlenecks and rework), a connected ERP, and an AI virtual consultant. Its modular ERP covers organization, products, inventory, warehouse, production and orders. The no-code platform page offers to "spin up a sandbox on your data and walk it through with you, live" as the way to see it.

Where it runs. The home page shows a row of technology names under "Built to work with your technology": Google Cloud, AWS, Microsoft Azure, Atlassian Jira, Azure DevOps, JetBrains YouTrack and Lonestar Agile. The pages do not say what the connection to each one consists of, and they name no connector library, API or code-export option.

The evidence from the pages

Pricing: the site publishes no prices. The way in is a demo, and the sandbox on your own data is part of it. Plan names, user limits, record limits and trial terms are not stated.

Company claims: the site calls OYO AI "the AI business & process intelligence platform" and says you can "build, run and understand your whole operation in one place." The home page quotes Gartner as finding that 87% of companies sit at low business intelligence and analytics maturity, which is the context for the intelligence products rather than a statement about the builder.

Use-case figures the company publishes on its home page:

• A textile manufacturing use case covering warehouse, production and costing, where every roll is costed on its own, with "0 edits after posting."
• A greenhouse management use case spanning planning, tasks, climate, harvest lots, sales and compliance, with a lot traced in 10 seconds in both directions.
• An IT project management use case with a 7-project portfolio measured on 20+ charts, 15 minutes to ranked opportunities and 45% potential identified.

Industries named are healthcare, hospitality, logistics, telecom and construction. The company also sells services: "Our team works alongside yours to assess processes, remove friction, and prepare your business for AI." There is a partner program, and the page has links to Privacy, Terms and Security pages. The pages do not state a compliance standard, hosting region or customer count, so a security review has to start from the Security page and a conversation with the company.

The versioning and audit claims are the concrete governance features: one-click rollback, a full audit trail, and every change logged. The company does not say how long history is kept.

Who it suits and who it does not

It suits an operations or IT team that has a backlog of small internal tools and wants the people who own each process to build their own, without opening a separate integration project for each one. The shared data model and inherited permissions are built for an organization with many builders, where IT wants to set access rules once. It also suits a company that wants approvals, a portal and field data capture, and eventually an ERP or analytics layer, from one vendor on one data model.

It is a poor match for a solo founder who needs a landing page or a quick MVP. There is no listed free plan or self-serve price, and the only call to action is booking a demo. A developer who wants to export code or self-host will not find either option on these pages. And a team that needs a named integration with a particular SaaS tool cannot confirm it from the site; the only named technologies are the cloud and project-tracking logos on the home page. Ask for those details in the demo.