Comparison
Kinetic vs building it yourself
A custom build gives you complete control and a codebase you maintain for as long as the application lives. Kinetic is a platform you build on: you still design the portal and the process, but the plumbing underneath comes with it. Build from scratch when the software is the product. Build on Kinetic when it serves the business.
Reviewed Written by Kinetic Data. Statements about other products link to the public source we used, with the date we read it. How we compare
Kinetic and building it yourself, row by row
Every comparison on this site uses these rows, in this order. Where building it yourself matches Kinetic or goes further, the table says so. Numbers in brackets point to the sources at the end of the page.
| Criterion | Kinetic | Building it yourself |
|---|---|---|
| Where the records live | In the systems you already run. ERP, HR, ITSM and case systems keep the records; Kinetic reads from them and writes to them. | Wherever you design it. Many custom apps add a database of their own, which then has to be kept in step with the ERP or HR system. |
| What you build on it | Portals, forms and apps; the workflows behind them; and the connections to existing systems. One platform covers all three. | Similar to Kinetic Anything your team can staff. Each application usually brings its own workflow code and its own integrations. |
| How AI helps you build | An AI assistant creates and edits forms, portals and workflows through Kinetic's MCP server, which is generally available. | Partly similar AI coding assistants write much of the code. Your team still owns every line: review, security fixes and upkeep. |
| How a running process behaves | The workflow runs the same way every time. AI is a step inside it (classify, extract, recommend, summarize), not the thing deciding the route. | However your code says. Retries and approval history are yours to write, and so is the status page. |
| AI model choice | Anthropic Claude, Amazon Bedrock, Azure OpenAI, self-hosted or open models, or any model that supports MCP. Kinetic ships no model of its own. | Similar to Kinetic Any model your team can call. |
| AI agents in the process | Agents can create records and start workflows through MCP and the APIs, within the user's permissions. Native agent work exchange is in development. | Whatever you build. Each agent connection is custom work. |
| Where it can run | Kinetic-hosted cloud, a customer-managed install, or an air-gapped network. | Similar to Kinetic Anywhere your team can run it, air-gapped networks included. |
| Government deployment and sign-in | Deployed in DoD IL5 environments, for example at Army INSCOM. CAC/PIV sign-in, SSO through SAML and OIDC, and 20+ years serving defense and intelligence. | Your team builds CAC/PIV sign-in and assembles the accreditation evidence, then does it again for the next application. |
| Licensing model | No per-user fees. Consumption-based, with a free Community Edition. | Different approach No platform license. The cost is engineering time and hosting for as long as the application lives. |
| Connecting to other systems | Connectors, APIs and MCP. If a system has an OpenAPI spec, Kinetic can connect to it. | Written per system and per application, and updated by your team when an API changes. |
What building it yourself does well
- Control. You decide the architecture and the release schedule, and nobody else's roadmap gets in the way.
- Fit for genuinely unusual software. When the application is the product you sell, owning every line is the point.
- Faster first drafts than ever. AI coding assistants mean a small team can stand up a working prototype in days.
- No vendor dependency for the application itself, which matters to teams that have been burned by a platform sunset.
Where Kinetic is different
You still build. You stop rebuilding the plumbing.
Build vs buy is usually framed as two options: write it or license someone’s finished product. There’s a third. Buy the systems of record and a platform to build on, then build the part that’s specific to you.
Most business applications share the same plumbing. A request form. An approval that depends on cost center. A call to the HR system and another to the service desk. A status page so nobody has to email to ask. On a custom build, every team writes that again. On Kinetic, the second application reuses what the first one built, and the new work is the part that is actually new.
AI makes the first version cheap. It doesn’t make the tenth year cheap.
An AI assistant can draft a working portal in an afternoon, with or without Kinetic. The difference is what you’re left owning. A generated codebase still needs security patches and framework upgrades. It needs fixing when a vendor changes an API. And it needs someone who understands it after its author has moved on. On Kinetic, AI drafts forms, portals and workflows through the MCP server, a person reviews them, and the platform underneath is ours to maintain.
There is some outside evidence on this. An MIT NANDA study, reported by Fortune in August 2025, found that AI tools bought from vendors succeeded about two-thirds of the time, against about one-third for internal builds.[1] It is one study, so read it as a signal rather than a rule.
Government requirements come with it
CAC/PIV sign-in, SSO through SAML or OIDC, customer-managed and air-gapped deployment are part of Kinetic. On a custom build they are work items, often the slowest ones, and they come back with every new application.
When a custom build is the better answer
If the software is what you sell, build it yourself. Internal tools platforms such as Retool make a similar “it’s not either-or” argument for back-office apps.[2] Kinetic is aimed at a different job: portals for clients and residents, and processes that cross several systems of record.
Which to choose
Choose building it yourself when
- The application is what you sell, or the core of how you compete.
- You have a product team that will own it for years, not a project team that moves on.
- The requirements don't fit forms, workflows and connections to other systems.
Choose Kinetic when
- The application is a portal, a request process or a case flow that touches several systems of record.
- You expect to build a second and third application, and want them to reuse the first one's forms, connections and approval rules.
- You need CAC/PIV sign-in, SSO and air-gapped deployment without building them per project.
- You want AI to draft the build through MCP and leave you with something your operations team can change.
USDA National Information Technology Center
Proof of concept in 4 days
NITC put a self-service provisioning catalog in front of vSphere, Active Directory and its cloud platforms on Kinetic. Its proof of concept was built and demonstrated in four days; the previous solution took more than a year to get started. Server provisioning went from three weeks to 30 minutes.
Read the USDA case studyFrequently asked questions
Answered by Kinetic Data. Last updated .
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Isn't Kinetic just another way of buying instead of building?
No, you still build. The portal, the process and the decisions in it are yours, designed for how your organization works. What you buy is the part every application needs and nobody gets credit for, such as sign-in and the workflow engine.
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AI can write the code now. Why buy a platform?
Because writing the code was never most of the cost. Each custom application still needs security reviews and upgrades, plus someone on call when an integration breaks. On Kinetic, AI drafts the build through MCP, and the platform underneath is maintained by us.
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Can we still write code on Kinetic?
Yes. Developers work against the Kinetic APIs, write custom front ends where they want one, and connect anything with an OpenAPI spec. The developer pages and docs.kineticdata.com cover the details.
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What does Kinetic cost compared with a build?
Kinetic is consumption-based with no per-user fees, and the Community Edition is free to try. Dollar figures depend on usage, so we don't publish them. In a working session we can map one process and compare it with your build estimate.
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What if we outgrow Kinetic?
Your records were never in Kinetic to begin with. They stay in the systems Kinetic connects to, so leaving doesn't mean migrating a data store.
Sources
Vendor claims and analyst placements are reported as the vendor announced them; we did not read the analyst reports. Product names are trademarks of their owners and are used only to identify products. This comparison was accurate as of October 19, 2026. If something here is out of date, tell us and we will correct it.
- [1] Fortune (August 18, 2025). MIT report: 95% of generative AI pilots at companies are failing (opens in a new tab) . Accessed .
- [2] Retool. Build vs buy guide for internal tools (opens in a new tab) . Accessed .
Bring one process. Leave with a plan to build it.
Two hours with our team, at no cost. Bring one process that crosses your systems. We map it with you, show what Kinetic would build, and send you a written plan afterward.