Fiddler AI vs Weights & Biases Weave
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.
https://aicompliancevendors.com/compare/fiddler-ai-vs-wb-weaveFiddler AI
AI observability and security for agentic and generative systems.
Fiddler AI is an AI observability and security platform founded in 2018 and headquartered in Palo Alto, California, by Krishna Gade, Amit Paka, and Manoj Cheenath. Fiddler focuses on production monitoring — drift, performance, fairness, explainability — and has extended into LLM observability and security for compound and agentic AI systems. Fiddler raised a $30M Series C in January 2026, bringing total funding to $100M.
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 Fiddler AI covers: Colorado AI Act, EU AI Act, GDPR Art. 22, ISO/IEC 42001, NIST AI RMF, NYC LL 144
- Shared capabilities: 5 of 9 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Fiddler AI | Weights & Biases Weave |
|---|---|---|
| Founded | 2018 | 2017 |
| Headquarters | Palo Alto, United States | San Francisco, United States |
| Employees | 51-200 | 201-500 |
| Funding | $100M total (Series C, January 2026) | 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 | Contact for pricing | 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 | Fiddler AI | Weights & Biases Weave |
|---|---|---|
| Colorado AI Act | Partial | — |
| EU AI Act | Partial | — |
| GDPR Art. 22 | Partial | — |
| ISO/IEC 42001 | Partial | — |
| NIST AI RMF | Partial | — |
| NYC LL 144 | Partial | — |
Capabilities
| Capability | Fiddler AI | Weights & Biases Weave |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | — |
| Explainability | ✓ | ✓ |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | — |
| Risk Assessment Workflow | ✓ | — |
Industries served
Fiddler AI
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- Retail & E-commerce
- SaaS & Technology
- Defense & National Security
Weights & Biases Weave
- Financial Services
- Healthcare
- Defense & National Security
- SaaS & Technology
Integrations
Fiddler AI
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Weights & Biases
- Okta
- OpenAI API
- Anthropic API
Weights & Biases Weave
- OpenAI API
- Anthropic API
- Weights & Biases
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.