CalypsoAI vs Weights & Biases Weave
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/calypsoai-vs-wb-weaveCalypsoAI
Adaptive AI security for enterprise GenAI.
CalypsoAI is an AI security company founded in 2018 with co-headquarters in San Mateo, California and Dublin, Ireland. The platform provides runtime security for enterprise GenAI — scanning prompts and responses for prompt injection, data leakage, and policy violations — with adaptive policies that evolve with new attack patterns. The company has announced plans to grow its Dublin team to 100 employees.
Weights & Biases Weave
Deliver AI with confidence.
Weights & Biases (W&B) is a San Francisco-based MLOps and LLMOps platform founded in 2017. Weave is W&B's product layer purpose-built for LLM observability, evaluation, and governance. It provides automatic tracing of LLM calls (inputs, outputs, latency, cost), evaluation pipelines with human and automated scoring, dataset versioning, and guardrails to block prompt attacks and harmful outputs. Weave integrates with major LLM providers including OpenAI, Anthropic, Google Gemini, and frameworks such as LangChain and LlamaIndex. For AI compliance, W&B runs EU AI Act-focused webinar series demonstrating how Weave can generate compliance dossiers for high-risk AI systems, providing audit trails and evidence generation. The platform holds SOC 2 Type II certification. Enterprise tier includes SSO, RBAC, and private cloud deployment. W&B has raised $305M total and was valued at $1.25B in 2023.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: None documented in common.
- Only CalypsoAI covers: EU AI Act, GDPR Art. 22, ISO/IEC 42001
- Shared capabilities: 5 of 10 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | CalypsoAI | Weights & Biases Weave |
|---|---|---|
| Founded | 2018 | 2017 |
| Headquarters | San Mateo, United States | San Francisco, United States |
| Employees | 51-200 | 201-500 |
| Funding | Series A-1 (undisclosed recent) | Multi-round, $305M total raised across 6 rounds. Most recent: $50M equity round (August 2023) led by Daniel Gross and Nat Friedman at $1.25B valuation. |
| Pricing | Enterprise only. | Free tier available for individuals. Team tier at published per-seat pricing. Enterprise tier (SSO, RBAC, private cloud) is contact sales. See https://wandb.ai/site/pricing for current tiers. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | CalypsoAI | Weights & Biases Weave |
|---|---|---|
| EU AI Act | Full | — |
| GDPR Art. 22 | Partial | — |
| ISO/IEC 42001 | Partial | — |
Capabilities
| Capability | CalypsoAI | Weights & Biases Weave |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | — |
| Explainability | ✓ | ✓ |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | — |
| Regulatory Intelligence | ✓ | — |
| Risk Assessment Workflow | ✓ | — |
Industries served
CalypsoAI
- Financial Services
- Healthcare
- Defense & National Security
- Retail & E-commerce
- SaaS & Technology
Weights & Biases Weave
- Financial Services
- Healthcare
- Defense & National Security
- SaaS & Technology
Integrations
CalypsoAI
- AWS SageMaker
- OpenAI API
- Anthropic API
Weights & Biases Weave
- OpenAI API
- Anthropic API
- Weights & Biases
Get quotes from both
Want a side-by-side proposal? Send a single structured request to CalypsoAI and Weights & Biases Weave and each will reply with scope, pricing, and timelines. You'll see exactly what we share before submitting.
Vendors pay a flat per-lead fee when they receive a qualified request. That fee does not influence what you see on this page. Details.
Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.