Future AGI AI Evaluation SDK vs Giskard
Future AGI AI Evaluation SDK
futureagi.com
Giskard
giskard.aiSide by side
| Figure | Future AGI AI Evaluation SDK | Giskard |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 4 |
| Spec score · AI Agent Evaluation Tools | 9.3 (#2) | 8.7 (#8) |
| Company | Future AGI Inc. is privately held and headquartered in San Francisco. | Giskard says it was founded in Europe in 2021 by co-founders with experience building AI systems at Dataiku and Thales. |
| Documentation depth | The docs include Python SDK references, a complete REST API reference, integration guides, cookbooks and an MCP server. | Documentation includes installation, checks, scans, API references, migration guidance, examples, a glossary and community Discord support. |
| Funding | Preqin reports a $1.6 million February 2025 pre-seed round co-led by Powerhouse Ventures and Snow Leopard Ventures. | Giskard says it raised a €1.5 million 2022 round led by Elaia with Bessemer and angel participation, followed by a €3 million European Commission investment in 2023. |
| Headquarters | San Francisco, California, United States; Bengaluru, Karnataka, India | Europe |
| Integrations | Future AGI documents integrations with OpenAI, LangChain, LlamaIndex and more than 30 frameworks. | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. |
| License | The public platform repository identifies the core as Apache License 2.0 and self-hostable. | The public giskard-oss repository is marked Apache-2.0 licensed. |
| Purpose | Future AGI describes itself as an open-source platform for simulating, evaluating, optimizing, monitoring, and protecting AI agents. | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. |
| Rating on G2 | 4.8 out of 5 from 12 reviews. | 0.0 out of 5 from 0 reviews |
| Rating on Gartner Peer Insights | 3.0 out of 5 from 1 rating. | 5.0 out of 5 from 3 reviews |
| Rating on Product Hunt | 4.9 out of 5 from 9 reviews. | 5.0 out of 5 from 2 reviews |
| Security | Future AGI states SOC 2 Type II, ISO 27001, GDPR, CCPA and HIPAA certification, with ISO 42001 in progress. | Giskard states that it offers EU or US data residency and isolation, role-based access controls, audit trails, identity-provider integration, and a zero-training policy. |
| Self-hosting | Future AGI says its Docker Compose self-hosted deployment keeps traces, datasets, evaluations, and model calls within the customer's network. | The paid offering supports on-premise, private-cloud and SaaS deployment options. |
| Support | The pricing page lists community support for Free and email support for Pay-as-you-go; Scale includes a Slack channel. | The Free plan includes community support and best-effort maintenance; the Enterprise plan lists dedicated support with SLAs and optional technical onboarding and consulting. |
| What it does | Future AGI is an AI reliability platform for simulating, evaluating, protecting, observing, optimizing and routing AI agents. | Giskard tests AI agents for security vulnerabilities, quality failures and compliance risks before and after deployment. |
Plans
Future AGI AI Evaluation SDK
- FreeFree
- FreeFree
- Pay-as-you-goFree
- Pay-as-you-goFree
- Boost$250 a month
- Boost$250 a month
- Scale$750 a month
- Scale$750 a month
- Enterprise$2,000 a month
- Enterprise$2,000 a month
Giskard
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
In their own words
Future AGI AI Evaluation SDK
Future AGI AI Evaluation SDK is an open-source platform for evaluating, simulating, optimizing, monitoring, and protecting AI agents. Its evaluation options include heuristic, code, LLM-as-judge, and agentic methods, with templates and CI/CD support. traceAI instrumentation converts LLM calls, tool use, retrieval, and chain steps into OpenTelemetry spans. Simulation supports text and voice tests using personas and scenarios; the Free plan includes 1M text simulation tokens and 60 voice minutes per month. The integrations page lists 79 integrations and SDK packages for Python, TypeScript, and Java, including OpenAI, Anthropic, Google GenAI, Vertex AI, AWS Bedrock, and Azure OpenAI. The Apache 2.0 platform offers Docker and SDK self-hosting options. Future AGI says Docker Compose self-hosting keeps traces, datasets, evaluations, and model calls within the customer's network. The platform is presented for startups and enterprise teams building and operating AI agents, with API, web, self-hosted, Linux, macOS, and Windows options. Free usage pauses at its cap; pay-as-you-go usage continues and may incur overage charges.
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.