# EvalMy.AI vs Scale 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. | Metric | [EvalMy.AI](https://openaitools.app/tool/evalmy-ai) | [Scale](https://openaitools.app/tool/scale) | | :--- | :--- | :--- | | Website URL | https://evalmy.ai | https://scale.com | | Categories | AI Testing, AI Answer, AI API, Large Language Models (LLMs) | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent | | Pricing Model | Freemium | Contact for Pricing | | Monthly Visits | 0 | 616,915 | | MoM Growth Rate | 0% | +12.5% | | Primary Market | Global | United States | | Direct Visits | 0 | 191,408 | | Review Score | 4.3 | 4.7 | | Saved Count | 0 | 3 | | Supported Platforms | Website | Website | ## EvalMy.AI EvalMy.AI is a cloud-based testing tool created by the data-science team at Profinit for teams that ship LLM and retrieval-augmented-generation (RAG) features. Instead of grading answers by hand, you send a pair of expected and actual answers to the service and get back a scored verdict. The score is produced by the C3-Score, a qualitative metric that decomposes a good answer into three concerns: completeness (nothing important is missing), correctness (no extra or fabricated facts, i.e. no hallucinations) and contradiction (no logical inconsistency inside the answer). The product is designed to be embedded rather than used as a standalone dashboard. A REST API lets you call the evaluation endpoint from any language or pipeline, and an official Python client lets you evaluate pairs directly inside your code. Because the checks run as plain API calls, they can be triggered automatically on every deploy, fitting naturally into CI/CD and popular ML tooling such as LangChain. Configuration options let testers tune semantic-score parameters to match different risk profiles. The service is offered as a SaaS that scales with the number of models, question sets and test frequency you throw at it. Pricing is token-based: new adopters get a large free token allowance to explore the product, and additional usage is sold in small recharge packs. **Pricing & Plans:** Freemium, token-based. Early adopters receive 10 million free tokens to evaluate the service, and additional capacity is sold as a recharge pack of 1 million tokens for 5 USD. No mandatory subscription is shown on the pricing page. - **C3-Score evaluation:** A single balanced metric that combines completeness, correctness and contradiction checks, so an answer is graded on more than surface similarity. - **REST API integration:** Call the evaluation endpoint from any language or workflow and incorporate answer verification into development and CI/CD processes. - **Python client library:** Import the evalmyai client, pass expected/actual answer pairs and receive a structured evaluation result directly inside your Python code. - **Configurable Sem-Score parameters:** Out-of-the-box validation plus tunable semantic-scoring settings let testers adjust strictness based on their risk profile. - **Cloud SaaS scalability:** Capacity scales up or down with the number of models, question-set size and testing frequency, without infrastructure to manage. **Strengths:** Focuses on meaning and factual accuracy rather than string matching, catching subtle issues such as a single flipped word.; API-first design and a Python library make it easy to automate inside existing pipelines.; Granular C3-Score breakdown shows whether problems come from missing facts, hallucinations or contradictions.; Generous free token allowance for trying the service at no cost. **Limitations:** You must supply a reference (expected) answer for each test case, which can be laborious to author.; Evaluation depends on external API calls, so it is not an offline or fully self-hosted option.; Pricing is expressed in tokens, which may be less intuitive to forecast than per-seat plans. [Profile (Markdown)](https://openaitools.app/tool/evalmy-ai.md) ## Scale Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders. The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations. Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production. **Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. - **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require. - **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers. - **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome. - **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations. - **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in. **Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability. **Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead. [Profile (Markdown)](https://openaitools.app/tool/scale.md) ## Frequently Asked Questions ### How do EvalMy.AI and Scale compare in monthly traffic? EvalMy.AI has 0 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? EvalMy.AI has a month-over-month growth rate of 0%; Scale has +12.5%. ### How does pricing compare? EvalMy.AI: Freemium. Freemium, token-based. Early adopters receive 10 million free tokens to evaluate the service, and additional capacity is sold as a recharge pack of 1 million tokens for 5 USD. No mandatory subscription is shown on the pricing page. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) | | 2 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) | | 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) | | 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) | | 5 | [AI or Not](https://openaitools.app/tool/ai-or-not) | 375,863 | +12.3% | Freemium, Contact for Pricing | Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes | [.md](https://openaitools.app/tool/ai-or-not.md) | | 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) | | 7 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Search foundation built from embeddings, rerankers, and reader APIs | [.md](https://openaitools.app/tool/jina-ai.md) | | 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) | | 9 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) | | 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) | --- Source: https://openaitools.app/compare/evalmy-ai-vs-scale More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)