From free exploration to enterprise-grade GxP compliance — flexible combinations of subscriptions and credit packs
for individual research, team collaboration, and private deployment.
Billed monthly, includes a monthly credit allowance plus the engines and features for that tier
One-time purchase, credits never expire, stack on top of any subscription
Different operations cost different credits; a Pro plan's 2,000 credits run ~130+ standard virtual experiments
| Operation | Description | Credits |
|---|---|---|
| Experiment runs | ||
Virtual experiment run Single prediction on a standard engine |
Base physics-model prediction with uncertainty quantification | 15 |
DOE experiment design Bayesian experiment design |
Auto-search for the optimal experiment parameter set | 30 |
Parameter optimization Bayesian optimization convergence |
Global optimum search plus local refinement | 40 |
PINN run Physics-informed neural-net engine |
Deep-learning + physics-constrained hybrid modeling | 50 |
| Analysis & reporting | ||
Literature search Real Crossref / PubMed academic search |
Each search request, with DOI traceability | 3 |
Experiment comparison Cross-comparison of result sets |
Compare parameters and metrics across experiments | 5 |
F2 factor calculation Dissolution-curve similarity |
Pharma dissolution-curve similarity assessment | 8 |
IVIVC analysis In-vitro/in-vivo correlation |
In-vitro/in-vivo correlation modeling & prediction | 12 |
Parameter sweep Batch parameter-space exploration |
Gridded parameter sweep with visualization | 20 |
Report generation Standard-format research report |
Auto-generate abstract/methods/results report | 20 |
Knowledge graph Experiment-relation graph build |
Cross-project knowledge association & graph visualization | 25 |
CTD report Regulatory submission format |
CTD-format registration submission material | 35 |
| Collaboration | ||
Result sharing Shareable result link |
Generate a shareable experiment-result page | 2 |
Data sovereignty + cost advantage + math-backed verification — three reasons to switch
Enterprise tier $1,188/yr vs Benchling ~$5,000/yr
Your data belongs to you; deployable in your region
GP surrogate + calibrated 95% intervals — generic AI tools only narrate, they don't quantify uncertainty
| Dimension | Benchling (traditional ELN) | SwarmLabs |
|---|---|---|
| Enterprise price | ~$5,000/seat/yr | $1,188/seat/yr |
| Data hosting | Foreign-hosted | Sovereign / regional deployment |
| Data-residency compliance | Restricted | Compliant (GDPR, PIPL, etc.) |
| V&V credibility | None | ASME-benchmarked |
| XAI explainability | None | SHAP-style parameter attribution |
| WebGPU visualization | WebGL | WebGPU real-time compute |
| Language support | Added in 2026 | Native multilingual |
| AI-ethics & compliance | Not stated | GDPR / PIPL aligned |
Common questions about credits, subscriptions, and payments
15 credits, and one PINN run costs 50 credits.
¥599/seat/mo, settled by actual member count. It includes unlimited base credits, a team collaboration space, knowledge graph, and API access.
Adding or removing members is prorated for the current period. For teams of 10+ or custom seat arrangements, contact sales for volume discounts.
Sign up and get 50 credits daily — no credit card required. Start your first virtual experiments now.
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