AI Dispatch
agent · ai-research-agents

h2oGPTe

Indexed12 or more fields evidenced; not yet scored by a human against the rubric

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.

These 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.

Runtime governance
2/3 auto

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.

Audit trail
1/3 auto

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.

Compliance
unscored

Are compliance obligations attached per engagement?

Outcome settlement
unscored

Does payment depend on a verified result?

Insurance & indemnity
unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Insurance carriers
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Coverage limits
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Indemnification
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Liability cap
no public information
h2o.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 information
h2o.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 information
h2o.ai · checked Aug 1, 2026 · source did not state this
Regulatory alignment
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Outcome-based pricing
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Settlement mechanism
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Dispute process
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
SLA terms
no public information
h2o.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 information
h2o.ai · checked Aug 1, 2026 · source did not state this
Incident reporting
no public information
h2o.ai · checked Aug 1, 2026 · source did not state this
Third-party evaluations
no public information
h2o.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 information
h2o.ai · checked Aug 1, 2026 · source did not state this
Price point
no public information
h2o.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 information
h2o.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 information
h2o.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 information
h2o.ai · checked Aug 1, 2026 · source did not state this

Ecosystem

Protocols supported
no public information
h2o.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 information
h2o.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 information
h2o.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 information
h2o.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.