SuperLabs: Validated Insights, Without the Guesswork.
Turn any question into reproducible, evidence-based answers—powered by autonomous AI agents.
Turn any question into reproducible, evidence-based answers—powered by autonomous AI agents.
A claims-and-evidence graph that links Questions → Hypotheses → Datasets → Protocols → Results → Claims, with semantic + symbolic search and preserved institutional memory.
Express studies in a DSL; containerized, versioned runs with deterministic seeds, compute tags, stop rules, and environment snapshots for true reproducibility.
A “Research Guild” of roles (Clarifier, Scout, Hypothesizer, Methodologist, Experimentalist, Replicator, Critic, Synthesizer, etc.) plans, debates, and escalates to consensus.
Provenance ledger (hashed inputs/code/outputs), bias & safety gates, audit trails, RBAC/privacy controls, and explicit Epistemic Status labels (Exploratory → Replicated).
Provenance, safety checks, and reproducibility by default—so decisions are grounded in proof.
Research Orchestrator
SuperLabs assembles a protocol and a team of specialized agents to plan, debate, and execute experiments-as-code. Results come back with provenance and explicit epistemic status.
See the Orchestrator in Action
Publication & Sync
Share outcomes as Research Cards, Decision Dossiers, or Repro Packs, then push context, hashes, and status into your tools via APIs/webhooks with optional human review.
Explore CRM & Case SyncLifecycle & Improvement
Adversarial review and replication harden quality; environment snapshots and one-click reruns make improvements fast—and verifiable—across the research lifecycle.
Get Visual QA Insights
SuperLabs connects to data lakes, warehouses, ELNs/LIMS, document stores, wikis, CRMs, and messaging/meeting suites—so evidence, lineage, and audit trails flow across systems with zero copy-paste and optional write-back.
Browse IntegrationsContinuous ingestion from documents, data lakes, and the web.
From warehouses and ELNs/LIMS to CRMs, wikis, and chat.
Every Research Card and protocol step is hashed, versioned, and auditable.
Hands-on help across time zones.
Every step is hashed and versioned—nothing opaque.
Clear labels (Exploratory → Validated → Replicated) on every claim.
Agents red-team sources and assumptions before results ship.
Granular roles, review trails, and air-gapped workflows when required.
SuperLabs turns messy data into traceable, bias-checked results with explicit epistemic status, ready to ship to your tools.
SuperLabsSuperLabs is the evidence OS for research-driven teams—harmonizing sources, running reproducible protocols, labeling epistemic status, and syncing validated outcomes back to the tools you already use.