The open benchmark

Built on an open standard

TargetSpace Labs does not own the measurement science it applies. The methodology for evaluating personal and organizational world models — sealed prospective forecasting, explicit baselines, calibration gates, specificity controls — is defined and maintained as an open research standard at targetspace.org. This page explains how the two relate.

targetspace.org · open benchmark & research standard targetspace.ai · commercial implementation & pilot partners Pre-pilot · one protocol across both
The relationship

One standard, two roles

The open benchmark defines what counts as evidence of target-specific predictive skill. TargetSpace Labs applies that definition, under the same controls, for teams that need a managed evaluation of their own systems.

Open benchmark & research standard

targetspace.org

The public home of the TargetSpace benchmark: the paper, the evaluation protocol, the open-source harness, task and forecast schemas, and the governance process that decides how the standard evolves. It publishes the benchmark's pilot status openly — the project is pre-pilot, with no human-subject results claimed. It serves researchers, benchmark contributors, and anyone who wants to scrutinize, replicate, or extend the methodology.

Commercial implementation & pilot partner layer

TargetSpace Labs (targetspace.ai)

The commercial arm of the open TargetSpace benchmark. TargetSpace Labs runs managed prospective evaluations for companies and research labs — design, sealing, baselines, scoring, and a standardized TargetSpace Report — and operates the pilot partner program. It serves teams whose products claim to know, remember, or personalize, and who need that claim tested rather than asserted.

Same science, same discipline

The principles do not change when the work is commercial

Every TargetSpace Labs engagement inherits the open benchmark's controls in full. A commercial evaluation is the same evaluation — scoped to a partner's system rather than a public leaderboard.

Sealed prospective forecastingPredictions are timestamped, hashed, and committed before outcomes exist — no hindsight, no retrofitting.
R1 population prior & R2 own-routine baselinesSkill must exceed both population base rates and an explicit model of the target's own habits — the bar that separates modeling from routine and retrieval.
Calibration gatesStated probabilities must match observed frequencies. Overconfident luck fails the gate.
Wrong-target permutation specificityRe-scored against permuted targets, skill must collapse — evidence that the model is about this target and not a generic one.
Evidence ablationSkill is attributed to the observations that produced it, so every retained signal has to earn its place.
Minimum sufficient observationThe evaluation identifies the smallest observation footprint that preserves validated skill — what can be deleted without losing it.
The claims boundaryNo unsupported claims of understanding — a passing evaluation certifies calibrated, target-specific predictive skill, nothing richer.
Go to the source

Read the standard itself

The protocol, the paper, and the harness are public. Nothing in a commercial engagement depends on material you cannot inspect.

Protocol integrity

Commercial work never weakens the protocol

Commercial evaluations never weaken the protocol. Where a commercial constraint conflicts with the open protocol — a shortened observation window, a restricted baseline, an outcome that cannot be sealed as specified — the TargetSpace Report discloses the deviation explicitly, so readers can weigh the result against the standard rather than an approximation of it.