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 |
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| 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
What models does Keysha AI support?
Keysha AI supports large language models (LLMs), foundation models, and traditional ML pipelines deployed in production.
How does Keysha AI detect hallucinations?
It compares model outputs to input intent and knowledge sources, flagging responses that appear false, biased, or off-topic.
Can I use Keysha AI for regulatory compliance?
Yes, Keysha AI provides detailed audit logs, PII detection, and metrics that support GDPR, SOC2, and HIPAA compliance initiatives.
