GPT-trainer
16 fields evidenced · 39 with no public information. Every value below links to the document it came from and the date we checked it.
15 of those 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
4 of those are flagged for review: our own check found language in the cited source that may address the field. An editor has not adjudicated them yet.
Also appears in
Trust gap
How this is scoredAre scope, spend, and authority enforced while the agent runs?
Publishes "Configurable escalation criteria" and "Adjustable working hours to ensure transfers only happen when human agents are available" — operational limits on handoff timing, not enforcement of agent scope, spend or authority at run time.
How this gap gets closed →Is there a tamper-evident record of what it actually did?
States operators can "Monitor engagement, review transcripts, extract data, raise real-time alerts, and escalate to human agents." Interaction records are reviewable, but nothing claims tamper-evidence, hash-chaining or immutability.
How this gap gets closed →Are compliance obligations attached per engagement?
States it "is fully compliant with SOC II, ISO 27001, and GDPR." Self-declared on the vendor page with no certificate, auditor name, report date or scope published, so it cannot be scored above 1.
How this gap gets closed →Does payment depend on a verified result?
The page evidences only a free entry tier and enterprise contracts; no payment term on the page is linked to a verified outcome.
How this gap gets closed →Can the deployment be insured, and is the customer indemnified?
No public evidence found. No cover, carrier, limit or customer indemnity appears on the page checked; the page offers a DPA and SLA, neither of which is insurance or indemnity.
How this gap gets closed →Assurance
- Insurance available
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Insurance carriers
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Coverage limits
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Indemnification
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Liability cap
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Audit trail
“Monitor engagement, review transcripts, extract data, raise real-time alerts , and escalate to human agents as needed.”
gpt-trainer.com · checked Aug 11, 2026- Tamper-evident log
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Explainability
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Runtime governance
“Configurable escalation criteria to fine tune when human attention is needed Adjustable working hours to ensure transfers only happen when human agent is present”
gpt-trainer.com · checked Aug 11, 2026- Permission scopes
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Compliance certifications
- States SOC 2, ISO 27001 and GDPR compliance (self-declared; no certificate, auditor or report date published)
“GPT-trainer is fully compliant with SOC II, ISO 27001, and GDPR .”
gpt-trainer.com · checked Aug 11, 2026 - Regulatory alignment
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Outcome-based pricing
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Settlement mechanism
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Dispute process
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- SLA terms
- 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
gpt-trainer.com · checked Aug 11, 2026 - Evaluation coverage
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
Agency
- Autonomy level
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Human oversight
“Tell your AI agent when to transfer the call to a human rep.”
gpt-trainer.com · checked Aug 11, 2026- Goal complexity
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Action space
“Equip your AI agents with ability to take actions . Incorporate MCP servers and function calls to pull real-time data on-demand or perform common tasks like calendar booking autonomously.”
gpt-trainer.com · checked Aug 11, 2026- Operating environment
“Delivered across phone calls, email, SMS, web chat, and social media.”
gpt-trainer.com · checked Aug 11, 2026- Initiative
“Automatic Follow-Up Your calls are not single events. Choose templated follow-up workflows for your AI agent to proactively reach back out to customers with intent and full knowledge of all previous interactions.”
gpt-trainer.com · checked Aug 11, 2026
Safety
- Safety evaluations
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Red teaming
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Safety policy
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Usage restrictions
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Model or system card
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Incident reporting
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Third-party evaluations
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Data handling
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
Practicality
- Pricing model
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Price point
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Availability
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Deployment options
“Custom LLMs and fine tuned models available via dedicated hosting options.”
gpt-trainer.com · checked Aug 11, 2026- Integrations
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Supported regions
“We offer dedicated servers for clients in the EU”
gpt-trainer.com · checked Aug 11, 2026- Support model
“We offer dedicated servers for clients in the EU, as well as SLA and DPA for enterprise clients.”
gpt-trainer.com · checked Aug 11, 2026
Foundation models
- Base models
“Supports a wide selection of LLMs . Choose from OpenAI, Anthropic, Google, Mistral, and DeepSeek.”
gpt-trainer.com · checked Aug 11, 2026- Model provider
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Model swappable
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Open weights
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Fine-tuning
“Upload training data effortlessly to fine-tune the AI’s knowledge.”
gpt-trainer.com · checked Aug 11, 2026- Context window
- 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
gpt-trainer.com · checked Aug 11, 2026
Ecosystem
- Protocols supported
“Incorporate MCP servers and function calls to pull real-time data on-demand”
gpt-trainer.com · checked Aug 11, 2026- Tool use
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Multi-agent
“Multi-Agent Architecture Orchestrated by an AI supervisor with intent-based routing for domain specialization. Background agents monitor interactions in real-time to extract key information, assign labels, and alert human operators when appropriate.”
gpt-trainer.com · checked Aug 11, 2026- API access
“API Support Work directly with our API and build custom connectors to your business systems.”
gpt-trainer.com · checked Aug 11, 2026- Open source
- 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
gpt-trainer.com · checked Aug 11, 2026 - Marketplace presence
- 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
gpt-trainer.com · checked Aug 11, 2026
Impact
- User base
“Over 1000 companies use our tools to better their business.”
gpt-trainer.com · checked Aug 11, 2026- Deployment scale
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Target sectors
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- High-risk domains
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this
- Documented incidents
- no public informationgpt-trainer.com · checked Aug 11, 2026 · source did not state this