Giskard vs Maxim AI

Giskard

Evaluation

Maxim AI

Evaluation

Tagline

Giskard

Continuous AI red teaming platform that stress-tests LLM agents for vulnerabilities before they hit production.

Maxim AI

End-to-end evaluation, simulation, and observability platform for shipping production-grade AI agents.

Pricing

Giskard

Freemium· Open-source free tier; Giskard Hub enterprise pricing on request

Maxim AI

Freemium· Developer: Free · Professional: $29 /seat /month · Business: $49 /seat /month · Enterprise: Custom

Lowest paid tier

Giskard

—

Maxim AI

$29 /seat /month · Professional

captured 2026-08-11

Free trial

Giskard

Yes

Maxim AI

Yes

API

Giskard

Yes

Maxim AI

Yes

Platforms

Giskard

apiweb

Maxim AI

api

Open source

Giskard

Yes · Apache-2.0

Maxim AI

Not listed

GitHub stars

Giskard

5,846

checked 2026-09-29

Maxim AI

—

Last GitHub push

Giskard

2026-09-29

Maxim AI

—

First commit

Giskard

2022-03

Maxim AI

—

Company

Giskard

Giskard AI

Maxim AI

H3 Labs Inc

Model used

Giskard

Multi-model

Maxim AI

Multi-model

Best for

Giskard

Pick Giskard if you are shipping a customer-facing LLM agent into a regulated industry and need a defensible pre-launch security and quality sign-off.

Maxim AI

Pick Maxim AI if you are scaling LLM agents to production and need prompt management, agent simulation, evals, and observability stitched together with enterprise controls.

Not for

Giskard

Skip it if you are a solo dev prototyping with a small model and just want quick eval scripts rather than an enterprise red-teaming program.

Maxim AI

Skip it if you are a solo dev prototyping with one model and only need lightweight tracing a single-purpose tool like Langfuse will be lower friction.

Editorial score

Giskard

8.2 / 10

Maxim AI

7.1 / 10

Use cases

Giskard

llm-red-teamingagent-security-testinghallucination-detectionprompt-injection-testingcompliance-evaluation

Maxim AI

agent-evaluationllm-observabilityprompt-managementagent-simulationci-cd-evalsllm-gateway

Pros

Giskard

• Covers the full red-team loop: detect, qualify, remediate, verify
• Serious compliance posture (SOC 2 Type II, HIPAA, GDPR, on-prem)
• Open-source Python library for solo/dev use
• Enterprise logos in finance, retail, and automotive
• Black-box testing works without access to model internals

Maxim AI

• Covers experimentation, simulation, eval, and observability in one platform
• Framework-agnostic with SDKs in Python, TypeScript, Java, and Go
• Enterprise-grade compliance (SOC 2, ISO 27001, HIPAA, GDPR) plus in-VPC option
• Low-code UI lets PMs and designers contribute alongside engineers
• Bundled Bifrost LLM gateway adds routing and cost controls

Cons

Giskard

• Hub pricing is contact-sales with no public tiers
• Enterprise framing is heavy for small teams or prototypes
• Vulnerability reports depend on human qualification workflow

Maxim AI

• Crowded eval/observability space (LangSmith, Braintrust, Arize, Langfuse)
• Public pricing details are thin beyond the free tier
• Breadth can feel overwhelming for small teams just needing simple tracing

Website

Giskard

www.giskard.ai

Maxim AI

getmaxim.ai

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.