Got Questions? We've Got Answers.

JETData.AI isn't just a database. It's database + workflow + API in one.

Your database stores data. That's it. To actually use that data in apps, automations, or AI tools, you still need to:

• Build APIs from scratch
• Write authentication and permission logic
• Create workflow engines for approvals, triggers, notifications
• Build file management on top of your DB
• Handle user roles and access control

JETData.AI gives you all of that out of the box. Your database is the foundation. JETData.AI is the entire building.

The AI part is easy. The backend is the hard part.

Before your AI solution can do anything useful, you need to build the infrastructure behind it:

• A database that keeps data and files together in one record
• REST APIs for your AI to read, write, and search data
• User authentication and role-based access so AI only sees what it should
• Workflow engine for approvals, triggers, and notifications
• Audit trail to track every change AI makes

That's 6 to 12+ months of backend development before your AI solution even starts working. With JETData.AI, all of that is ready on Day 1. You skip the infrastructure and go straight to building the solution.

The real question: Is your competitive advantage in building backend infrastructure, or in delivering AI solutions to your clients?

As secure as you want it to be, because you control where it lives.

• On-premise deployment: Your data never leaves your servers. Full stop.
• Role-based access control (RBAC): Control exactly who sees what, down to individual fields
• Session-based authentication: Secure API access with proper session management
• Audit trail: Track who created, updated, or viewed records
• No third-party data sharing: JETData.AI is the platform, not a data broker

For regulated industries: On-premise deployment means you meet data residency requirements without workarounds. Your compliance team will thank you.

Absolutely. That's actually the point.

JETData.AI is designed so that:

• Business users can create forms, set up workflows, and manage data without code
• Semi-technical users can use the API with simple tools (even AI assistants can write the integration code)
• Developers get a full-powered API to build custom apps fast

You don't need to be technical to start. And when you need custom apps, JETData.AI's API is so well-structured that even AI tools like ChatGPT can write working integration code from the documentation.

Compare it to the cost of not having it.

Consider what you're spending today on:

• Manual data entry and re-entry across systems
• Errors from spreadsheet-based processes
• Developer time building and maintaining custom backends
• Lost deals because you can't prototype solutions fast enough
• Compliance risks from uncontrolled data access

For partners: JETData.AI has a fixed platform price and you keep 100% of the revenue from solutions you build. No revenue share. No per-seat royalties. Your margins are yours.

The ROI question: If JETData.AI saves your team just 10 hours per week of manual work, what's that worth over a year?

JETData.AI doesn't replace your IT team. It gives them superpowers.

Your IT team is spending time on:

• Building and maintaining internal CRUD apps
• Writing APIs for every new request
• Managing user permissions across multiple systems
• Handling file storage and retrieval logic

With JETData.AI, they can skip the repetitive backend work and focus on what actually matters: building the unique logic and integrations that give your business a competitive edge.

Your data is always yours and always accessible.

• On-premise: You literally host it yourself. There is no lock-in.
• Standard API: Your data is accessible via standard REST APIs, so any system can read and write to it
• Export: You can pull all your data out via API at any time
• No proprietary formats: Data is stored in standard database structures

The flip side: The real lock-in risk is with SaaS tools that store your data on their cloud with their proprietary format. JETData.AI is the opposite of lock-in.

What failed: the platform, or the implementation?

Most "platform" failures are actually:

• Scope creep: Tried to solve everything at once instead of starting small
• No champion: Nobody owned the rollout internally
• Wrong tool: Used a tool designed for one thing and forced it to do another
• No support: Got a login and were left to figure it out

JETData.AI addresses these with:

• Free POC (Proof of Concept): See your actual use case working before you commit
• Certification program: Your team gets properly trained (5 progressive levels)
• Partner support: Hands-on help building your first solution
• Start small: Pick one painful process, automate it, prove the value, then expand

Complex processes are exactly what JETData.AI is built for.

JETData.AI handles:

• Parent-child relationships between data sets
• Multi-step approval workflows with conditions and triggers
• 37 different field types for capturing any kind of data
• Sub-records for nested, repeating data within a record
• Custom frontends: build exactly the UI your process needs, powered by JETData.AI's API

If your process is truly unique, that's actually an argument for JETData.AI, because you can build a custom solution on top of it without building the entire backend from scratch.

Small team? You don't need to be big to benefit. JETData.AI scales down to a single user managing a few forms. The partner program is designed so even solo consultants can build and sell solutions. Start with one problem, one form, one workflow.

Enterprise? JETData.AI is used by enterprises like Changi Airport and Autoliv. On-premise deployment means it fits into enterprise infrastructure. The API supports building full-scale applications, not just simple forms. Role-based access scales to hundreds of users with granular permissions.

Days to weeks, not months to years.

Compare that to building from scratch (6 to 12+ months) or implementing a traditional enterprise system (3 to 12 months + consulting fees).

The shortcut: Request a free Proof of Concept. See your solution working before you spend a single day on implementation.

Because you keep 100% of what you earn.

The business model: JETData.AI charges a fixed platform fee. You build solutions, you price them, you keep every dollar. No revenue share. No per-seat royalties. No surprise fees.

Yes. That's what the API is for.

JETData.AI has 50+ API methods across two versions:

• V2 (Static Key): Simple integrations, webhooks, backend-to-backend calls
• V3 (Session Auth): Full-featured, user-aware integrations for custom apps

Common integrations:

• Connect to your ERP, CRM, or accounting system via API
• Use JETData.AI as a backend for mobile apps or web portals
• Trigger actions in external systems when data changes in JETData.AI
• Pull data from external sources into JETData.AI for centralized management

AI isn't hype, but it does need clean, structured, accessible data to work. That's JETData.AI.

The problem with AI today isn't the AI. It's the data:

• Data is scattered across spreadsheets, emails, and disconnected systems
• No consistent API for AI to read and write data
• No permission controls for what AI can access
• No audit trail of what AI changed

JETData.AI solves the data infrastructure problem so AI can actually deliver value:

• Structured data in one place
• User-aware API with permissions (AI can only access what it should)
• Full audit trail of every change
• Consistent API that any AI tool can use