Persistent Scientific Intelligence

A infraestrutura onde investigações científicas persistem, verificam-se e continuam.

A CSI transforma questões científicas abertas em uma máquina persistente de investigação: quest → evidência real → hipóteses competidoras → previsões falsificáveis → experimento computacional → verificação determinística → atualização bayesiana → próximo melhor passo.

01
QUEST
02
EVIDENCE
03
HYPOTHESES
04
PREDICT
05
EXPERIMENT
06
VERIFY
07
REFLECT
closed-loop scientific intelligence — o ciclo reinicia com o Research State atualizado

The unit of work is a scientific campaign

Scientific Intelligence is infrastructure for investigation. Its fundamental object is not a chat, a prompt or an answer — it is the persistent scientific campaign: a research program that survives sessions, models and years, carrying its own state, history and evidence.

  • A campaign holds its research state: what is known, unknown and contested.
  • Evidence enters with provenance; hypotheses carry falsification criteria.
  • Predictions are registered before outcomes and resolve against reality.
  • Experiments are deterministic where required — seeds, hashes and traces included.
  • Verification closes the loop; results converge into reproducible publications.

Rigor by construction

Provenance

Every claim traces back to its source, method and lineage — nothing enters the record anonymously.

Reproducibility

Results are replayable by default: seeds, input and output hashes, and independent re-runs.

Uncertainty

Calibration is measured, not asserted — stated confidence is scored against observed outcomes.

Falsification

Hypotheses are designed to be testable, and are actively attacked before they are believed.

Verification

Predictions resolve as verified, refuted or inconclusive — including null and negative results.

Auditability

The full chain — question to publication — remains inspectable, permanently.

Open research

Investigations published as open research are readable by anyone — the complete scientific bundle, no credentials required. Negative and null findings are part of the record.

Browse open research →

Measured, then reported

The platform is applied to itself: calibration, reliability and reproducibility methodology are benchmarked continuously and reported with their methodology visible — including where the platform is wrong.

Read the benchmarks →

Confidential by default

Research is private by default. Campaigns become public only when explicitly published as open research — visibility is a deliberate act, and private or institutional data is never exposed inadvertently.

Security & privacy →

Built for institutions

From a single researcher to universities, laboratories, corporations and governments: access programs scale with the work, with per-campaign budgets and stop conditions.

Access programs & pricing → · Documentation → · Architecture →

The platform is open to guests

Sign in with your Camile AI account to open the workspace — or read open research without credentials.