Go from any question to a reproducible, evidence-based answer—with clear provenance and seamless hand-offs to the tools you already use.
Connect sources in hours—not weeks. Templates and protocol starter kits get your first Research Card live quickly.
Agents run versioned protocols (experiments-as-code) and label epistemic status (Exploratory → Validated → Replicated) so results are audit-ready every time.
70+ connectors to warehouses, ELNs/LIMS, docs, BI, and chat. Push results + context back with optional write-back.
Continuous 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.
No training required. Send a single link and let clients review Research Cards, evidence, and decisions—complete with provenance and clear status.
Agentic AI: A team of specialized research agents that plan, debate, run and critque studies.
Vertical AI: Domain adapters and method packs that encode sector-specific rules, schemas, and practices.
Ingest → harmonize → test → validate → publish—autonomous agents run the flow with scheduled runs and smart retries.
One governed record that links question, data, code, decisions, and ownership—built for audit and hand-offs.
Ask in plain English; SuperLabs assembles the method, executes the analysis, and returns visual, explainable results.
Define study cohorts and simulate scenarios from any feature; compare outcomes before you commit.
Dev / stage / prod for protocols and features with promotion gates, data guards, and change diffs—safe iteration by design.
Immutable hashes for datasets, protocols, and findings; diff, roll back, and prove who changed what, when.
We don’t just deploy AI—we define how research becomes reproducible, auditable insight. SuperLabs helps teams move from questions to validated answers with clear provenance.
Director of Research — Helios Biotech
Head of Data Science — Aurora FinTech
From agentic protocols to published results—provenance by default, clear status, and approvals built in.
Agents execute experiments-as-code with snapshots and stop-rules—methods are inspectable, not hidden.
Provenance ledger, RBAC, approvals, and audit trails meet regulated workflows out of the box.
Domain packs (schemas, rules, source lists) tune the multi-agent team—for example, Malaysia taxation (SST).
One-link, role-based portals for stakeholders to review Research Cards, comment, and sign off.
APIs/webhooks + governed write-back push results—with context and hash—into BI/CRM/ELN (no copy-paste).
Replication, drift checks, and promotion of best protocols keep answers reliable over time.
SuperLabs turns messy data into traceable, bias-checked results with explicit epistemic status, ready to ship to your tools.