LangTest records 4,478 monthly visits with +1.6% month-over-month growth and Paid, Contact for Pricing pricing. mpathic AI records 6,774 monthly visits with -8.6% growth and Contact for Pricing pricing.
Red-team and evaluate AI agents before they reach production
Clinician-led AI safety evaluation and psychosocial risk benchmarking
| Dimension / Metric | | |
|---|---|---|
| Official Domain | synergetics.ai | mpathic.ai |
| Pricing Model | Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 4.48K (4,478) | 6.77K (6,774) |
| MoM Traffic Delta | +70 (+1.6%) | -635 (-8.6%) |
| Primary Market & Share | 🇺🇸 United States (65.1%) | 🇺🇸 United States (97.7%) |
| Direct Visits / mo | 1.79K | 3.26K |
| User Rating | 4.3 | 4.3 |
| Supported Platforms | Website | Website |
Red-team and evaluate AI agents before they reach production
Adversarial evaluation of agents to surface unsafe, non-compliant or unreliable behaviour before they run against real users and real money.
Measure and track how much fine-tuning private models with LangTrain improves accuracy for your specific domain.
Verify that agent responses are repeatable and reliable enough for regulated workflows such as clinical, lending or claims decisions.
Evaluate agents that work across text, voice, vision and other modalities rather than text alone.
Clinician-led AI safety evaluation and psychosocial risk benchmarking
Licensed clinicians evaluate model responses in high-risk psychosocial scenarios, scoring detection, interpretation and response quality against a clinical standard.
Public, methodology-documented benchmarks for suicide risk, eating disorders and misinformation, usable to audit current and future model versions.
Structured adversarial testing designed to surface unsafe behavior in sensitive mental-health and wellbeing interactions before release.
Clinician-authored evaluation frameworks that define what harm looks like, so internal teams can apply a consistent standard at scale.
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceHIPAA-compliant AI workspace for healthcare and behavioral health
Free / Open-sourceHIPAA-compliant AI workspace for healthcare and behavioral health
Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming
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
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Automated QA, simulation and observability for voice and chat AI agents
Measure, predict and prevent heart disease with data
Measure, predict and prevent heart disease with data
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding
Free / Open-sourceEnterprise platform for building, evaluating and shipping AI agents
Free / Open-sourceEvaluate every frontier model against your own workflows
Free / Open-sourceEvaluate every frontier model against your own workflows
Free / Open-sourceThe security layer for voice and chat agents: test, red-team, and monitor every call
Free / Open-sourceThe security layer for voice and chat agents: test, red-team, and monitor every call
