EvalMy.AI records 0 monthly visits with 0% month-over-month growth and Freemium pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.
Automated AI-answer verification via one API call
The data, evaluations and systems behind AI that has to be right.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | evalmy.ai | scale.com |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 0 (0) | 616.92K (616,915) |
| MoM Traffic Delta | 0 (0%) | +68.69K (+12.5%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (44.2%) |
| Direct Visits / mo | 0 | 191.41K |
| User Rating | 4.3 | 4.7 |
| Supported Platforms | Website | Website |
Automated AI-answer verification via one API call
A single balanced metric that combines completeness, correctness and contradiction checks, so an answer is graded on more than surface similarity.
Call the evaluation endpoint from any language or workflow and incorporate answer verification into development and CI/CD processes.
Import the evalmyai client, pass expected/actual answer pairs and receive a structured evaluation result directly inside your Python code.
Out-of-the-box validation plus tunable semantic-scoring settings let testers adjust strictness based on their risk profile.
The data, evaluations and systems behind AI that has to be right.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
Web search API and crawler built for AI agents
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes
Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
Search foundation built from embeddings, rerankers, and reader APIs
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
