Scale records 616,915 monthly visits with +12.5% month-over-month growth and Contact for Pricing pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.
The data, evaluations and systems behind AI that has to be right.
A memory and continual-learning engine that gives any AI agent persistent context
| Dimension / Metric | | |
|---|---|---|
| Official Domain | scale.com | supermemory.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 616.92K (616,915) | 156.58K (156,579) |
| MoM Traffic Delta | +68.69K (+12.5%) | -12.98K (-7.7%) |
| Primary Market & Share | 🇺🇸 United States (44.2%) | 🇺🇸 United States (46.2%) |
| Direct Visits / mo | 191.41K | 71.16K |
| User Rating | 4.7 | 4.5 |
| Supported Platforms | Website | Website |
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.
A memory and continual-learning engine that gives any AI agent persistent context
A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
SpecialistFocuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
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.
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.
Free / Open-sourceOne open-source AI gateway for 100+ LLM providers
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.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistThe universal context engine connecting agents to data, tools, and models
SpecialistOffers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions.
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.
SpecialistAI gateway, observability and guardrails for production LLM apps
Free / Open-sourceProvides open-source persistent user modelling for stateful agents, but focuses more on conversational psychology than universal vector graphs.
