
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Scale records 616,915 monthly visits with +12.5% month-over-month growth and Contact for Pricing pricing. TypeSafe AI - Jev records 6,148,688 monthly visits with -36.4% growth and Paid pricing.
The data, evaluations and systems behind AI that has to be right.
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | scale.com | typesafe.ai |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 616.92K (616,915) | 6.15M (6,148,688) |
| MoM Traffic Delta | +68.69K (+12.5%) | -3.51M (-36.4%) |
| Primary Market & Share | 🇺🇸 United States (44.2%) | 🇺🇸 United States (26.4%) |
| Direct Visits / mo | 191.41K | 3.14M |
| User Rating | 4.7 | 4.2 |
| 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.

Machine-native AI that returns typed, calibrated decisions for software automation
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.

Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.

Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
SpecialistOffers access to diverse foundational models through one API, but lacks specialized typed decision scoring and confidence metrics.
SpecialistOffers access to diverse foundational models through one API, but lacks specialized typed decision scoring and confidence metrics.
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.

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.

Free / Open-sourceProvides an open-source framework for building agent workflows, but requires manual implementation of calibrated decision-scoring logic.

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

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.

SpecialistAggregates hundreds of AI models through a single endpoint, but does not specialize in typed, probability-scored software decisions.

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.