Our proprietary AI Operating Model runs as a seven-step journey

Flexible, high-quality research you can trust

Go from any question to a reproducible, evidence-based answer—with clear provenance and seamless hand-offs to the tools you already use.

Fast to start

Connect sources in hours—not weeks. Templates and protocol starter kits get your first Research Card live quickly.

Reproducible by default

Agents run versioned protocols (experiments-as-code) and label epistemic status (Exploratory → Validated → Replicated) so results are audit-ready every time.

Integrates everywhere

70+ connectors to warehouses, ELNs/LIMS, docs, BI, and chat. Push results + context back with optional write-back.

250,000+

Evidence items processed / month

Continuous ingestion from documents, data lakes, and the web.

70+

Connectors*

From warehouses and ELNs/LIMS to CRMs, wikis, and chat.

100%

Provenance coverage

Every Research Card and protocol step is hashed, versioned, and auditable.

24/7

Support

Hands-on help across time zones.

Shareable Evidence Portals for Non-Technical Stakeholders

No training required. Send a single link and let clients review Research Cards, evidence, and decisions—complete with provenance and clear status.

  • One-link access with Magic Links and role-based permissions
  • Read-only Research Card views with status (Exploratory → Validated)
  • Provenance ledger & hash copy—every step is traceable
  • Attachments & evidence previews (docs, charts, datasets)
  • Comments, mentions, and approvals with audit trail

Agentic + Vertical AI (SuperLabs)

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.

Agentic Protocols

Ingest → harmonize → test → validate → publish—autonomous agents run the flow with scheduled runs and smart retries.

Evidence Ledger

One governed record that links question, data, code, decisions, and ownership—built for audit and hand-offs.

Natural-Language Research

Ask in plain English; SuperLabs assembles the method, executes the analysis, and returns visual, explainable results.

Cohorts & What-Ifs

Define study cohorts and simulate scenarios from any feature; compare outcomes before you commit.

Sandboxed Environments

Dev / stage / prod for protocols and features with promotion gates, data guards, and change diffs—safe iteration by design.

Provenance & Version Control

Immutable hashes for datasets, protocols, and findings; diff, roll back, and prove who changed what, when.

Our Thought Leadership

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.

SuperLabs gave us a single chain of evidence across research, data science, and product. In under two weeks we connected our sources, ran versioned protocols, and started sharing Research Cards with clients. Every result ships with provenance and epistemic status—so decisions are fast and defensible.

Director of Research — Helios Biotech

With SuperLabs, every result comes with receipts. We went from ad-hoc notebooks to versioned protocols in a week, and now product, research, and compliance review the same Research Cards with provenance and epistemic status. Re-runs take minutes, and sign-offs are finally about evidence—not opinions.

Head of Data Science — Aurora FinTech

Don’t Stop at “GPT Research.” Ship Auditable Answers with SuperLabs.

From agentic protocols to published results—provenance by default, clear status, and approvals built in.

Method, Not Just Output

Agents execute experiments-as-code with snapshots and stop-rules—methods are inspectable, not hidden.

Governance & Compliance

Provenance ledger, RBAC, approvals, and audit trails meet regulated workflows out of the box.

Vertical AI Adapters

Domain packs (schemas, rules, source lists) tune the multi-agent team—for example, Malaysia taxation (SST).

Evidence Portal

One-link, role-based portals for stakeholders to review Research Cards, comment, and sign off.

Operational Hand-Offs

APIs/webhooks + governed write-back push results—with context and hash—into BI/CRM/ELN (no copy-paste).

Monitoring & Calibration

Replication, drift checks, and promotion of best protocols keep answers reliable over time.

Why SuperLabs vs. GPT Deep Research - quick compare

Reproducible answers, not guesswork

SuperLabs turns messy data into traceable, bias-checked results with explicit epistemic status, ready to ship to your tools.