SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.

Aikido Security records 757,491 monthly visits with +9.6% month-over-month growth and Freemium pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.
The data, evaluations and systems behind AI that has to be right.
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | aikido.dev | scale.com |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 757.49K (757,491) | 616.92K (616,915) |
| MoM Traffic Delta | +66.27K (+9.6%) |
| +68.69K (+12.5%) |
| Primary Market & Share | 🇺🇸 United States (25%) | 🇺🇸 United States (44.2%) |
|---|
| Direct Visits / mo | 303.71K | 191.41K |
|---|
| User Rating | 4.4 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

All-in-one AppSec platform that finds and auto-fixes vulnerabilities
SCA dependency scanning, SAST, AI code audit, secrets detection, license/SBOM generation, malware detection, and code quality in one pipeline.
AI filters false positives and generates fixes or pull requests, cutting triage time and shortening the path from finding to resolution.
CSPM for misconfigurations, IaC scanning, Kubernetes and container image scanning, VM insights, DSPM, and cloud attack-path mapping.
Continuous web/API testing, DAST, attack-surface mapping, and autonomous pentest agents that keep validating what is actually exploitable.
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.


SpecialistDeep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.


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.

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.
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.


Automates continuous red teaming and pull request security reviews using AI, but less focused on broad compliance frameworks.

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.
SpecialistConnects developers with verified human participants for RLHF and model evaluation studies instead of managed labeling.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistDeep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.
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.
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.
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.
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.
SpecialistConnects developers with verified human participants for RLHF and model evaluation studies instead of managed labeling.