Also framed as avoiding vendor lock-in, an open government data capability, or a government-owned data platform.

This is the acquisition side of a question this hub covers more broadly in What Is Government-Owned AI for Defense. That page makes the case for owning the reasoning layer; this one is narrower and more practical: when the choice is between a commercial data platform and a government-owned alternative, what actually decides it, and what does the law already require.

The decision is often made backwards. A platform is selected because it demonstrates well, and the questions that matter most, who owns the data rights, how the agency exits, whether upgrades can be competed, surface only years later when the leverage is gone. The point of evaluating a government-owned alternative is to make those the first questions, not the last.

Key takeaways

• What it is: a capability where the government keeps control of its data, the logic, and the exit, instead of renting that control inside a single vendor's platform.
• Why it matters now: federal law already prefers open, modular systems specifically to enable competition and avoid vendor lock-in; it is a statutory default, not a preference.
• The rights question: who owns the data and software is set by contract data-rights terms, and unmarked deliverables default to the broadest government rights.
• What to require: open interfaces, portability, government-held data rights, and a tested exit, not just working features.
• The payoff: a capability the agency can recompete, move, and evolve on its own terms, rather than one it cannot leave.

How Agencies End Up Locked In

Lock-in is rarely a decision; it is an accumulation. An agency adopts a platform for a specific need, loads its data in the vendor's proprietary format, builds workflows around the vendor's model, and trains its people on the vendor's interface. None of those steps feels like surrendering control. Together they mean that years later, the cost and risk of leaving are so high that the agency effectively cannot, and the vendor holds maximum leverage over every upgrade and renewal.

The mechanism is well understood in defense acquisition: when a single provider owns the proprietary data and interfaces needed to change or extend a system, the government cannot compete the upgrade, and the incumbent sets the terms. That is the condition modular, open approaches exist to prevent, and it is why the government's own policy treats the ability to recompete as a capability to be preserved from the start, not recovered later.

For a data platform the stakes are higher than for most systems, because the asset at risk is the agency's own data and the understanding built on top of it. If the only usable copy of that understanding lives in a format the agency does not control, lock-in is not an inconvenience; it is a loss of control over a strategic asset. A government-owned alternative is the structural answer: keep the data and the logic in open, owned form so leaving is always possible, which is also what keeps the incumbent honest.

What the Law Already Requires: MOSA and Open Systems

Agencies do not have to argue the case for openness from scratch, because Congress already made it. Federal law requires defense acquisition programs to use a Modular Open Systems Approach (MOSA) "to the maximum extent practicable," to enable incremental development and "enhance competition, innovation, and interoperability" (10 U.S.C. § 4401). This is a statutory default, extended by later law to all defense acquisition programs, not a best practice an agency may opt into.

The purpose is explicit. The Department of Defense frames MOSA as the preferred method for building systems with modular components that can be independently upgraded or replaced, precisely to avoid vendor lock-in and enable competition for upgrades across the lifecycle (DoD Office of the CTO, MOSA Implementation Guidebook, 2025). Open interfaces and sufficient data rights are not nice-to-haves in that framing; they are the mechanism that keeps the government able to compete the next increment.

A government-owned alternative to a commercial data platform is the data-and-reasoning expression of the same principle the law already mandates for systems: open interfaces, modular components, and enough government control to recompete and reuse. Evaluating one is not going out on a limb; it is applying the statutory default to the data layer.

Who Actually Owns the Data and Software: The Rights Question

Ownership of a data capability is decided less by the sales conversation than by the data-rights terms in the contract. Defense acquisition defines standard categories of government license rights in software and documentation, and which one applies determines what the government can do without the vendor's permission (DFARS 252.227-7014):

• Unlimited rights. The government can use, modify, and release the software without restriction. This applies to software developed exclusively with government funds, among other cases.
• Government purpose rights. The government may use and share the software for any government purpose, including competing follow-on work, for a negotiated period (five years by default) after which it converts to unlimited rights. This is the mixed-funding middle ground.
• Restricted rights. The narrowest category, for software developed exclusively at private expense; the government's ability to share or recompete is limited unless it negotiates more.

Two details matter for an evaluator. First, these rights are negotiated and marked, so they are a decision made during acquisition, not a default to discover afterward. Second, the regulation presumes in the government's favor on omission: software or documentation delivered without restrictive markings is presumed delivered with unlimited rights. The practical lesson is that data rights are leverage best used early, and a government-owned alternative is one structured so the government holds the rights it needs to move, modify, and recompete, rather than one where restricted rights quietly foreclose the exit.

Commercial Platform vs. Government-Owned Alternative

Bottom line: a commercial platform optimizes for fast adoption inside the vendor's environment; a government-owned alternative optimizes for control, portability, and the ability to recompete. The features may look similar in a demo; the difference shows up at renewal, migration, and upgrade.

Consideration	Typical commercial data platform	Government-owned alternative
Control of the data	Held in the vendor's proprietary format	Kept in open, government-controlled form
Data and software rights	Often licensed, limited	Government-held rights sufficient to use, modify, recompete
Interfaces	Frequently proprietary	Open, modular, documented (the MOSA principle)
Upgrades	Competed only within the vendor	Competable across providers
Exit and portability	Costly; often impractical	A tested, designed-in capability
Relationship to existing systems	Often a platform to migrate onto	Complements systems of record; no rip-and-replace
Where value accrues over time	To the incumbent's leverage	To the government's freedom of action

The takeaway is not that commercial technology has no place; much of it is excellent, and a government-owned alternative often incorporates commercial components. It is that the ownership and exit terms, not the feature list, are what an agency is really choosing between, and those terms should be evaluated as rigorously as the capability itself.

Government-Owned Alternatives vs. Related Terms

These terms cluster around the same idea and are easy to conflate. They are distinct. The table separates them.

Term	What it is	Relationship to a government-owned alternative
Open-source software	Software whose source is publicly available and modifiable	One way to achieve openness, but not required; a government-owned alternative is defined by control and rights, not by license model
GOTS (government off-the-shelf)	Software the government owns and can reuse across programs	A deployment and ownership model a government-owned alternative can take; see government-owned AI
Open standards / MOSA	Modular design using widely supported, documented interfaces	The architectural mechanism that makes portability and recompetition real, required by statute for defense programs
Data rights	The contractual license categories governing government use of software and data	The legal mechanism that determines whether the government can actually exit and recompete

What Breaks a Government-Owned Alternative

• Open in name only. A capability advertised as open but delivered with restricted rights or undocumented interfaces is not portable, whatever the label says.
• Rights decided late. If data-rights categories are not negotiated and marked during acquisition, the exit may be foreclosed before anyone checks.
• Proprietary data formats. If the ready, linked data lives only in a vendor's model, the government has not actually kept its data.
• Untested exit. An exit that exists on paper but has never been exercised is an assumption, not a capability.
• Rip-and-replace framing. An "alternative" that demands migrating everything onto a new platform reproduces the lock-in it claims to solve.
• Confusing open-source with owned. Using open-source components does not by itself give the government the rights and control that define ownership.

How to Evaluate the Exit: Portability and Lock-In Tests

The comparison explains why control and portability matter; the checklist is what to require in an evaluation, framed around the exit because that is where lock-in hides.

1. Government-held data rights. The contract grants rights sufficient to use, modify, and recompete the capability, negotiated and marked during acquisition.
2. Open, documented interfaces. Modular interfaces meet the MOSA standard, so components can be competed and replaced.
3. Data in open, owned form. The agency's data and the understanding built on it stay in a format the government controls, not a proprietary model.
4. Demonstrated portability. The capability can move across environments and providers, shown in practice, not asserted.
5. A tested exit. There is an exercised path to leave or recompete, not just a contractual clause.
6. Complements existing systems. It reasons over data where it lives rather than demanding a migration that rebuilds the lock-in.
7. Recompetable upgrades. Follow-on work and upgrades can be competed, not sole-sourced to the incumbent by default.

Evaluating a capability? The seven tests above are the backbone of a lock-in and portability evaluation you can score any offering against. Bring them to a scoping call and we will walk each one against your environment: request a technical walkthrough.

How Torch.AI Delivers a Government-Owned Alternative

Torch.AI builds reasoning infrastructure the customer can own and govern, offered as a government-owned (GOTS) deployment when a mission requires it. ORCUS ingests and normalizes fragmented, multi-source data in place, NEXUS reads the unstructured content, and HALO resolves and fuses it into a usable picture, all while the data and the logic stay in open, government-controlled form rather than a proprietary model. Because it complements systems of record instead of replacing them, adopting it does not create the migration lock-in a government-owned alternative is meant to avoid. You can see how this is packaged as a capability on the Torch.AI software page.

The design goal is freedom of action: the data stays portable, the interfaces are open, and the capability is one the customer can govern, move, and recompete rather than one it cannot leave. This is the systems of record versus systems of reason distinction at the center of Torch.AI's approach: the reasoning layer sits on top of the customer's authoritative systems and keeps them intact and interoperable, so the government retains control of the strategic asset, its data and the understanding built on it. Whether a given deployment is government-owned (GOTS) or commercial (COTS) depends on the system the customer installs and purchases; when the question is specifically how to avoid lock-in, the government-owned model is the one to evaluate against the tests above.

Torch.AI's approach is built for the conditions this page describes: open interfaces, government-held control of the data and reasoning, no rip-and-replace, and a capability the agency can recompete and evolve on its own terms.

For evaluators weighing a government-owned alternative, see how Torch.AI delivers owned, portable data reasoning on the software page, or request a technical walkthrough and we will run the portability and lock-in tests against your own environment.

Sources

• 10 U.S.C. § 4401, Requirement for modular open system approach in major defense acquisition programs; definitions, law.cornell.edu - the statutory requirement to use a modular open systems approach to enhance competition, innovation, and interoperability.
• DoD Office of the Chief Technology Officer, MOSA Implementation Guidebook (2025), cto.mil - MOSA as the DoD-preferred method for open systems, explicitly to avoid vendor lock-in and enable competition for upgrades.
• DFARS 252.227-7014, Rights in Other Than Commercial Computer Software and Other Than Commercial Computer Software Documentation, acquisition.gov - the standard government license-rights categories, and the presumption of unlimited rights for unmarked deliverables.

Frequently Asked Questions

What is a government-owned alternative to a commercial data platform? It is a data and reasoning capability where the government keeps control of its data, the logic operating on it, and the ability to move or recompete the capability, rather than renting that control inside a single vendor's proprietary platform. The defining difference is who controls the exit, not who wrote the code.

Does the law require open, non-locked-in systems? Largely, yes. Federal law requires defense acquisition programs to use a Modular Open Systems Approach to the maximum extent practicable, specifically to enable competition and avoid vendor lock-in (10 U.S.C. § 4401). Evaluating a government-owned alternative applies that statutory default to the data layer.

Who owns the data and software in a government capability? It is determined by the data-rights category negotiated in the contract: unlimited, government purpose, or restricted rights (DFARS 252.227-7014). Notably, deliverables provided without restrictive markings are presumed delivered with unlimited rights, so rights are a decision to make deliberately during acquisition.

Is a government-owned alternative the same as open-source software? No. Open-source is one way to achieve openness, but a government-owned alternative is defined by control and data rights, not by license model. A capability can use commercial or open-source components and still be government-owned in the sense that matters: the government controls the data, the logic, and the exit.

Does choosing a government-owned alternative mean replacing existing systems? It should not. A sound alternative reasons over data where it lives and complements systems of record, rather than forcing a rip-and-replace migration, because a migration-heavy "alternative" just rebuilds the lock-in it is supposed to prevent.

How do I evaluate lock-in before committing? Evaluate the exit, not just the features: government-held data rights, open and documented interfaces, data kept in owned form, demonstrated portability, and a tested path to recompete. The portability and lock-in tests above are a scoring framework you can apply to any offering.