Weights & Biases
NewAI developer platform for building GenAI applications and fine-tuning LLMs
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Weights & Biases ranks #6 of 61 in MLOps Platforms with an AI visibility score of 29.7 (SlateIndex, Nov 2, 2026).
- Weights & Biases is most visible on Google AI Mode (37) and least on Perplexity (25.4).
- AI engines name Weights & Biases in 23 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- g2.com is the source AI engines cite most in answers about Weights & Biases, with 17 citations.
About
Company details for Weights & Biases
Weights & Biases is an AI developer platform for building GenAI applications and fine-tuning LLMs. Its two products are W&B Weave and W&B Models. A client logs data with one line of code, and a server stores it, with Weave data in a ClickHouse database and Models data in a cloud-native database. It ranks #6 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 29.7 in the latest weekly run.
- Website
- wandb.ai
- Categories
- MLOps Platforms
- Company type
- Division of CoreWeave
- Funding
- $50M round led by Daniel Gross and Nat Friedman
- Deployment
- Data residency and isolated compute and storage are supported
- Compliance
- ISO/IEC 27001:2022, ISO/IEC 27017:2015, ISO/IEC 27018:2019, SOC 2 Type II
Read from g2.com, site.wandb.ai, wandb.ai, fourweekmba.com, hpcwire.com, tracxn.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name Weights & Biases
Which MLOps Platforms tools offer annual discounts?
Weights & Biases: Annual commitments can unlock volume discounts for Weave data ingestion, rather than a clearly stated blanket subscription discount.
Where can I sign up for an MLOps platform?
Weights & Biases (W&B)
Which MLOps platform offers a free trial?
Weights & Biases : Offers a 30-day free trial for its enterprise-level tiers (Enterprise, Dedicated, and Customer-managed SaaS configurations), alongside a robust free community tier for personal projects and…
What is the typical pricing model for MLOps Platforms software?
Common for: Collaboration-heavy tools like experiment tracking, model registries, and prompt/LLM observability platforms (e.g., Weights & Biases Pro tiers or team dashboards).[](https://panoply.io/tools/weights-and-…
Best MLOps platform for startups
For most startups, Weights & Biases (W&B) is the best managed MLOps starting point: it offers polished experiment tracking, strong framework integrations, collaboration features, and a usable free tier.
How do companies deploy and monitor machine learning models without a dedicated tool?
When companies lack dedicated MLOps platforms (like MLflow, Weights & Biases, or SageMaker), they fall back on standard software engineering practices, leveraging existing DevOps, cloud infrastructure, and logging tools.
Alternatives to the most popular MLOps platform
Weights & Biases (W&B) — The best polished, developer-first commercial alternative for experiment tracking, hyperparameter sweeps, and collaboration.
Which MLOps platform has transparent pricing?
Weights & Biases (W&B) (SaaS) — Widely known for public pricing for experiment tracking and LLM observability (Weave).
Products & features
What Weights & Biases sells
W&B Weave
Platform for building GenAI applications, with dynamic leaderboards and audio monitors added in January 2026.
W&B Models
Experiment tracking for model development, with Sweeps for hyperparameter optimization, Tables and Reports, and pinned runs and baseline comparisons added in January 2026.
Strengths engines cite
- Polished, developer-first experiment tracking
- Strong LLM observability and evaluation
- Hyperparameter optimization and sweeps
- Good collaboration features for teams
- Highly rated by users, about 4.5/5 on G2
Target market & buyers
Notable customers include Aleph Alpha, Cohere, Meta, MosaicML, NVIDIA, OpenAI, Toyota, Volkswagen.
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Series A | 2018 | $5M |
| Series C | 2021 | $100M |
| $50M round led by Daniel Gross and Nat Friedman | 2023 | $50M |
| Latest known round | Total raised |
|---|---|
| $50M round led by Daniel Gross and Nat Friedman | — |
Recent developments
- Sep 2026ProductArya self-improving research agent reaches general availability
The company's Arya self-improving research agent reached general availability and was demoed at AI Engineer (reported).
- Aug 2026CompanyFully Connected 2026 conference announced
The company announced Fully Connected 2026, a conference on 29 September to 1 October 2026 in San Francisco.
- Jun 2026ProductCoreWeave launches ARIA research agent for Weights & Biases
CoreWeave launched an ARIA research agent for Weights & Biases.
- May 2026PartnershipPartnership with Cranium AI on AI safety and security
Cranium AI and Weights & Biases announced a partnership on AI safety and security in model development.
- Apr 2026ProductRunloop launches benchmark platform with Weights & Biases integration
Runloop launched a benchmark orchestration platform with a Weights & Biases integration.
Competitive landscape
How Weights & Biases compares with its top three alternatives
Weights & Biases most often appears alongside MLflow, Amazon SageMaker AI, AWS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Weights & Biases | 29.7% | 7% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 53% · Neutral 26% · Mixed 21% of 47 engine answers that mention Weights & Biases
Praised for
- Polished, developer-first experiment tracking
- Strong LLM observability and evaluation
- Hyperparameter optimization and sweeps
- Good collaboration features for teams
- Highly rated by users, about 4.5/5 on G2
Criticised for
- Pricing is unclear and usage-based charges may apply
Cite as: SlateIndex, “Weights & Biases AI visibility profile”, https://slateindex.ai/brand/weights-biases, data of Nov 2, 2026. Licence: CC BY 4.0.