$VANTA Asset

Applications

Vanta fits work that can be reduced to a deterministic statement with an economical verification path.

Selection ruleA large compute bill is not enough. The output, encoding, inputs, and acceptance relation must all be precise before value is committed.

Strong early candidates

01 / Batch

State transforms

Large deterministic batches whose compact state transition can be checked far more cheaply than replayed.

02 / Data

Commitment builds

Merkle roots, indexed summaries, and canonical encodings derived from publicly committed datasets.

03 / Models

Bounded inference

Fixed-model, fixed-precision inference where the model digest and arithmetic relation are committed in advance.

Admission questions

  1. Can two honest implementations produce the same encoded output?
  2. Can the verifier bind the exact program version and every relevant input?
  3. Is verification materially cheaper than executing the workload again?
  4. Can required output data remain available after its commitment settles?
  5. Is failure objectively attributable when collateral is involved?

Poor fits

Subjective creative judgments, changing external facts without an oracle, human moderation, legally ambiguous outcomes, and nondeterministic software do not become trustworthy merely because a hash or proof is attached. Vanta settles the relation a verifier implements; it cannot strengthen an underspecified claim.

Launch discipline

The first public workload should be intentionally narrow: one canonical implementation, one versioned verifier, published test vectors, bounded resource requirements, and enough observability to compare operator cost against verification cost. General-purpose claims come later.