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Research

Ground Contact.

Every Based AI™ answer is a claim with a path back to its evidence. This method is the standard for every model and finetune we release.

A model response is useful when its reasoning can be inspected, its sources checked and its uncertainty measured. Ground Contact makes that inspection part of every answer.

Our models do not claim certainty. The system is designed so errors surface quickly, claims can be audited and well-supported answers hold up against evidence. When the system cannot show how it reached an answer, the answer is marked provisional.

A single thread of light descending from a glowing point to a dark plane, touching the ground

Four steps.

01

Claim

Each output is stated as a claim that can be checked.

02

Source

Each claim links back to the material that supports it.

03

Test

Outputs are scored against task-specific harnesses before release.

04

Revise

Errors are identified quickly and corrected openly. Every answer remains open to revision.

What we measure.

We treat truth-seeking as an engineering problem with measurable outcomes. Six metrics apply to every model and finetune before it joins the roster.

Source-trace accuracy

Does each answer cite the material it came from?

Claim-support rate

What share of claims are supported by their cited sources?

Calibration error

Does stated confidence match observed accuracy?

Refusal quality

Does the model decline the right requests for the right reasons?

Factual accuracy

Are stated facts correct against the expert record?

Reasoning consistency

Does the reasoning hold when the question is asked again?

Thesis / 01

Truth, by design.

Truth by design is an engineering constraint. Data selection, training, interfaces and the release process are built so that verifying an answer is easier than accepting it.

Thesis / 02

Epistemic sovereignty.

The person using the model remains the final judge. Every answer shows its sources, its uncertainty and its reasoning, so the user can test it before relying on it.

Etymology

Base
Foundation, ground, contact with reality.
D
Data, derived signal, distributed verification.
Based
Grounded in data. Reasoned from first principles.

V — Access

Build with Based AI.

API access, custom builds and finetunes start with a short request. Tell us what you are building and a member of our team will reply.