h2oGPTe
30 fields evidenced · 25 with no public information. Every value below links to the document it came from and the date we checked it.
30 of them are quoted but not yet interpreted: we hold the source sentence and the date we read it, but nobody has written the answer to the question yet. Those rows show the quote and say so rather than repeating it back as an answer. Why these exist
1 of those is flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated it yet.
Trust gap
How this is scoredThese scores are automated. A 1 or 2 counts how many fields this entry answers with a citation — not what those answers say. A 0 means every field for that dimension is recorded as undisclosed and none of the pages we captured mentions it. No one has scored this entry against the rubric yet.
Are scope, spend, and authority enforced while the agent runs?
Scored from 2 evidenced field(s): runtime_governance, permission_scopes. Automated score; capped at 2 pending review.
Counts Permission scopes and Runtime governance, each cited below.
Is there a tamper-evident record of what it actually did?
Scored from 1 evidenced field(s): audit_trail. Automated score; capped at 2 pending review.
Counts Audit trail, each cited below.
Are compliance obligations attached per engagement?
Does payment depend on a verified result?
Can the deployment be insured, and is the customer indemnified?
Assurance
- Insurance available
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Insurance carriers
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Coverage limits
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Indemnification
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Liability cap
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Audit trail
“Citation-based verification for transparent Retrieval Augmented Generation (RAG) State-of-the-art multimodal RAG with built-in citation support offers comprehensive traceability for AI-generated responses, with embedded document references that enhance transparency.”
h2o.ai · checked Aug 1, 2026- Tamper-evident log
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Explainability
“Transparent assessments with embedding and ML-driven evaluators Embedding-based metrics complemented with Natural Language Inference provide transparent, explainable and objective model assessments to enhance accountability and clarity.”
h2o.ai · checked Aug 1, 2026- Runtime governance
“Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries.”
h2o.ai · checked Aug 1, 2026- Permission scopes
“Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries.”
h2o.ai · checked Aug 1, 2026- Compliance certifications
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Regulatory alignment
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Outcome-based pricing
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Settlement mechanism
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Dispute process
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- SLA terms
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Evaluation coverage
“Robust testing through automated question generation Automated question generation facilitates comprehensive testing to identify model vulnerabilities and improve reliability.”
h2o.ai · checked Aug 1, 2026
Agency
- Autonomy level
“Autonomous agentic AI: execute multi-step workflows autonomously”
h2o.ai · checked Aug 1, 2026- Human oversight
“Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries.”
h2o.ai · checked Aug 1, 2026- Goal complexity
“h2oGPTe Agents bring true autonomy to your workflows, enabling LLMs to handle multi-step tasks like web research, data modeling, database access, and iterative code execution.”
h2o.ai · checked Aug 1, 2026- Action space
“h2oGPTe Agents can autonomously generate multi-page PDFs with charts, tables, and flowcharts based on real-time data—complete with source code for full transparency.”
h2o.ai · checked Aug 1, 2026- Operating environment
“h2oGPTe enables grounded query responses from secure, private data sources, including document repositories, knowledge bases, and databases”
h2o.ai · checked Aug 1, 2026- Initiative
“Autonomous agentic AI: execute multi-step workflows autonomously”
h2o.ai · checked Aug 1, 2026
Safety
- Safety evaluations
“Transparent assessments with embedding and ML-driven evaluators Embedding-based metrics complemented with Natural Language Inference provide transparent, explainable and objective model assessments to enhance accountability and clarity.”
h2o.ai · checked Aug 1, 2026- Red teaming
“Robust testing through automated question generation Automated question generation facilitates comprehensive testing to identify model vulnerabilities and improve reliability.”
h2o.ai · checked Aug 1, 2026- Safety policy
“Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries.”
h2o.ai · checked Aug 1, 2026- Usage restrictions
“Customizable guardrails for AI safety h2oGPTe’s Guardrails and PII controls offer fine-grained access management and scoped response restrictions, enabling precise control over input and output boundaries.”
h2o.ai · checked Aug 1, 2026- Model or system card
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Incident reporting
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Third-party evaluations
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Data handling
“Keep your data isolated and secure.”
h2o.ai · checked Aug 1, 2026
Practicality
- Pricing model
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Price point
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Availability
“If you're curious about what enterprise h2oGPT can do for your organization, get in touch with us. Fill out this form and we’ll have someone reach out with more information.”
h2o.ai · checked Aug 1, 2026- Deployment options
- no public information
Flagged for review — the source below contains language that may address this field. Not yet checked by an editor. How we check absences
h2o.ai · checked Aug 1, 2026 - Integrations
“app integrations”
h2o.ai · checked Aug 1, 2026- Supported regions
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Support model
“Enterprise Support ✓”
h2o.ai · checked Aug 1, 2026
Foundation models
- Base models
“Llama2-based models for chat and coding are very similar to GPT-4”
h2o.ai · checked Aug 1, 2026- Model provider
“H2O.ai created first Open Source AI for Enterprise”
h2o.ai · checked Aug 1, 2026- Model swappable
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Open weights
“Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models”
h2o.ai · checked Aug 1, 2026- Fine-tuning
“Fine-Tuning ✓”
h2o.ai · checked Aug 1, 2026- Context window
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
Ecosystem
- Protocols supported
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Tool use
“h2oGPTe Agents can autonomously generate multi-page PDFs with charts, tables, and flowcharts based on real-time data—complete with source code for full transparency.”
h2o.ai · checked Aug 1, 2026- Multi-agent
“The industry’s first multi-agent Generative AI platform”
h2o.ai · checked Aug 1, 2026- API access
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- Open source
“Openweight SLMs H2O Danube3: Lightweight, offline-capable small language models Openweight Vision-Language Models H2OVL Mississippi: OCR and Document AI with open multimodal models”
h2o.ai · checked Aug 1, 2026- Marketplace presence
“Ready-to-Use AI Apps H2O GenAI App Store: Prebuilt apps for industry-specific GenAI use cases”
h2o.ai · checked Aug 1, 2026
Impact
- User base
“Commonwealth Bank of Australia reduced scam losses by 70% using real-time GenAI and predictive AI from H2O.ai. LEARN MORE AT&T is transforming call center operations and cutting costs by 90% with H2O.ai’s GenAI.”
h2o.ai · checked Aug 1, 2026- Deployment scale
“10+ years of experience serving hundreds of Fortune 2000 companies”
h2o.ai · checked Aug 1, 2026- Target sectors
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
- High-risk domains
“ideal for audit-heavy sectors, ensuring each AI response is both accurate and verifiable.”
h2o.ai · checked Aug 1, 2026- Documented incidents
- no public informationh2o.ai · checked Aug 1, 2026 · source did not state this
Compared with
Side-by-side on the fields where h2oGPTe and the other entry are both on record and actually differ.