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Keysha AI

(4.5)

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FreePaid Plan - Custom

Platform:

Web

Best for:

Monitor, evaluate, and secure AI model behavior in real time

Free Trial:

Not Available

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AIChief Verdict
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AIChief Rating

(4.5)

Visit Keysha AI

Keysha AI is a real-time observability and monitoring platform for AI applications. Its primary goal is to bring transparency, reliability, and control to machine learning models running in production. Whether you're using a large language model, recommendation engine, or custom ML pipeline, Keysha AI tracks everything that matters—accuracy, bias, safety, performance, and compliance.

Features

(4.5)

Accessibility

(4.5)

Compatibility

(4.5)

User Friendliness

(4.6)

Updated November 26, 2025

What is Keysha AI?

Keysha AI is a real-time observability and monitoring platform for AI applications. Its primary goal is to bring transparency, reliability, and control to machine learning models running in production. Whether you're using a large language model, recommendation engine, or custom ML pipeline, Keysha AI tracks everything that matters�accuracy, bias, safety, performance, and compliance.

Built with enterprise use in mind, Keysha offers continuous audits, automatic alerts for model drift, hallucination detection, and even PII monitoring to help businesses meet global privacy laws. It plugs easily into existing stacks, supports both LLMs and traditional models, and works across cloud platforms. At its core, Keysha enables teams to ship AI faster without sacrificing safety or explainability.

Keysha AI Review Summary
Performance Score
A+
Content/Output
Transparent & Insightful
Interface
Developer-Centric & Visual
AI Technology
  • Anomaly Detection
  • LLM Monitoring
  • PII Scanning
  • Bias Detection
  • Data Drift Tracking
Purpose of Tool
Monitor, evaluate, and secure AI model behavior in real time
Compatibility
Web Platform; APIs & SDKs for Cloud & On-Prem
Pricing
Free Trial + Paid Plans (Custom Enterprise Tiers Available)

Who is Best for Using Keysha AI?

  • AI/ML Engineers: Working in production environments who need to debug models and detect drift in real time.
  • Data Science Teams: Responsible for ensuring fairness, performance, and explainability of AI models at scale.
  • Compliance & Risk Officers: Need tools to trace PII exposure and generate audit logs for regulatory needs.
  • Tech Startups: Deploying LLM-based apps and need to manage hallucinations, latency, and token usage dynamically.
  • Healthcare, Finance, Legal Sectors: Where AI must be safe, auditable, and fully compliant with global data laws.
Keysha AI Key Features
Hallucination Detection
LLM Usage Monitoring
Real-Time Drift Alerts
Fairness & Bias Evaluation
Prompt & Output Tracing
Personally Identifiable Info (PII) Detection
Compliance Dashboard
Usage Analytics & Cost Insights
Audit Logging
SDKs for Fast Integration

Is Keysha AI Free?

Keysha AI offers a Free Trial with access to core monitoring features, suitable for early testing or small-scale deployments. Paid plans scale based on usage volume, number of models, and enterprise features.

Keysha AI Pricing Plans

  • Free Trial: Full access to key observability tools, ideal for testing LLM integrations and basic usage tracking. Limited monitoring volume per month, no credit card required.
  • Custom Enterprise Plans: Unlimited model integrations, advanced privacy controls (e.g., PII, GDPR, SOC2-ready), audit-ready logs & compliance modules, scalable usage monitoring & cost controls, dedicated support & onboarding, SSO & custom roles.

Keysha AI Pros & Cons

Pros
Offers real-time visibility into AI models� safety and accuracy
Helps detect hallucinations and mitigate bias automatically
Supports compliance efforts with privacy & audit tools
Developer-friendly APIs and clean, intuitive UI
Great for LLM observability at scale
Cons
Requires initial setup and data integration effort
No fixed pricing listed publicly�may not suit small teams
Advanced tools best suited for enterprise-scale deployments
Heavy focus on technical users, not business-first UX
Alerts may require tuning to reduce noise

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FAQs

<strong>What models does Keysha AI support?</strong>

Keysha AI supports large language models (LLMs), foundation models, and traditional ML pipelines deployed in production.

<strong>How does Keysha AI detect hallucinations?</strong>

It compares model outputs to input intent and knowledge sources, flagging responses that appear false, biased, or off-topic.

<strong>Can I use Keysha AI for regulatory compliance?</strong>

Yes, Keysha AI provides detailed audit logs, PII detection, and metrics that support GDPR, SOC2, and HIPAA compliance initiatives.

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