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Exgentic vs Giskard

Exgentic

exgentic.ai

Giskard

giskard.ai

Side by side

FigureExgenticGiskard
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WebYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published04
Spec score · AI Agent Evaluation Tools7.8 (#17)8.7 (#8)
IntegrationsThe README documents API credentials for OpenAI and Anthropic models and support for Hugging Face models and Jobs.The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain.
LicenseThe framework is distributed under the Apache License 2.0.The public giskard-oss repository is marked Apache-2.0 licensed.
PurposeExgentic is an open agent leaderboard that evaluates general purpose AI agents across diverse domains.Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production.
SupportThe project directs users to open a GitHub issue for questions and support.The Free plan includes community support and best-effort maintenance; the Enterprise plan lists dedicated support with SLAs and optional technical onboarding and consulting.

Plans

Exgentic

No plans published.

Exgentic pricing →

Giskard

  • FreeFree
  • Open-sourceFree
  • EnterprisePriced on request
  • ProfessionalPriced on request

Giskard pricing →

In their own words

Exgentic

Exgentic has no write-up on Specifiction yet; its figures are above.

Visit exgentic.ai

Giskard

Giskard provides tools for assessing AI agents before production, with coverage for prompt injection, data disclosure, inappropriate content, hallucinations, contradictions, and omissions. Its Hub performs black-box testing of conversational text-to-text agents available through an API endpoint. An assessment produces a structured report with a deploy-or-fix verdict, ranked vulnerabilities, and functional scenarios; passing agents receive a Giskard Label. Giskard describes a remediation process in which its team qualifies findings, discusses severity, prioritizes issues, opens workflow tickets, and reruns tests to check fixes. Enterprise evaluation options include adversarial probes, domain-specific datasets, RAG quality metrics, customizable metrics, and human review interfaces. Deployment choices include on-premise, private cloud, and SaaS. Giskard lists EU or US data residency, access controls, audit trails, identity-provider integration, encryption, and a zero-training policy, alongside GDPR, SOC 2 Type II, and HIPAA compliance. The free plan includes a local open-source library, basic vulnerability scanning and RAG evaluation, community support, and best-effort maintenance.

Visit giskard.ai