Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% month-over-month growth and Freemium, Contact for Pricing, Free pricing. Proof&Trust records 0 monthly visits with 0% growth and Paid tiers pricing.
Track, evaluate, and ship AI models and agents in one connected environment.
Score every vendor, tier every risk, and prove it to your NIS2 auditor
| Dimension / Metric | | |
|---|---|---|
| Official Domain | wandb.ai | proofandtrust.com |
| Pricing Model | Freemium, Contact for Pricing, Free | Paid tiers |
| Monthly Visits | 315.62K (315,624) | 0 (0) |
| MoM Traffic Delta | -1.28M (-80.2%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (32.2%) | 🌐 Global (—) |
| Direct Visits / mo | 230.88K | 0 |
| User Rating | 4.7 | 4.4 |
| Supported Platforms | Website | Website |
Track, evaluate, and ship AI models and agents in one connected environment.
Log metrics, losses, and media from training runs and compare them side by side in interactive charts to spot what actually improves your model.
Run automated hyperparameter sweeps and visualize parameter importance so you can converge on better configurations faster.
Version datasets and model artifacts, track lineage, and promote models through a registry from training to production.
Build, log, and evaluate LLM prompts and applications, with tracing and evaluation tools grouped under an LLMOps workflow.
Score every vendor, tier every risk, and prove it to your NIS2 auditor
Connects contracts, vendor masters and document stores, then verifies the authenticity, validity and scope of certificates, attestations, SBOMs, pen-test reports and policies.
Scores each artifact on completeness, recency, source trust and control coverage, then rolls the results into a continuously recalculated vendor risk index.
Auto-classifies vendors into critical, important and baseline tiers by dependency, concentration and evidence quality, re-tiering the moment evidence changes.
Produces cited, exportable evidence trails mapped to all ten NIS2 Article 21(2) measures, plus Article 23 incident-notification drafting with 24-hour early-warning timing.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceDetect, humanize and verify AI content in one place
Free / Open-sourceDetect, humanize and verify AI content in one place
Free / Open-sourceAI detector that highlights evidence, not just a score
Free / Open-sourceAI detector that highlights evidence, not just a score
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
See your enterprise the way attackers do — observe, understand, signal, and respond at AI speed
See your enterprise the way attackers do — observe, understand, signal, and respond at AI speed
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
AI-driven privacy and security apps for phones, desktops and servers
AI-driven privacy and security apps for phones, desktops and servers
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Free / Open-sourceAI-native trade compliance, screening and HTS classification in one platform
Free / Open-sourceAI-native trade compliance, screening and HTS classification in one platform
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
