Invisible Technologies records 1,364,520 monthly visits with +64.4% month-over-month growth and Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
Enterprise AI infrastructure where software and expert humans work together
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | inv.tech | openlayer.com |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 1.36M (1,364,520) | 48.42K (48,415) |
| MoM Traffic Delta | +534.28K (+64.4%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇺🇸 United States (17.8%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 877.84K | 25.94K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
Enterprise AI infrastructure where software and expert humans work together
Produces research-grade datasets, including multilingual and domain-specific evaluation data, backed by a large vetted expert network.
Runs AI systems through realistic task scenarios with custom criteria covering accuracy, safety, tone and domain fit, comparing models side by side.
Builds governed agents that handle multi-step work, use tools and write code, with versioning, per-customer separation and full audit trails.
Maps how work actually flows through an organisation, then automates steps gradually, routing to AI or humans as needed.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Strong human-in-the-loop data annotation and validation services, but offers less customizable end-to-end autonomous agent software.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Combines agentic workflows and custom language models for content, but lacks generalized enterprise operational workflow outsourcing.
SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceSelf-driving agent platform you run in your own cloud
Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.
Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
