AI Models & Trust Center
Model intelligence, access controls, and compliance evidence in one place.
TrustAIQ gives enterprise buyers, security teams, compliance officers, and AI governance stakeholders a clear view of supported AI models, account controls, deployment posture, and trust documentation.
Supported AI models
Latest providers, deployment modes, and buyer-fit signals
OpenAI
GPT-5.5, GPT-4o, o-series
Use cases: Multimodal workflows, agent tasks, enterprise apps
Capability: Fast multimodal + strong reasoning
Deployment: Hosted API
Residency: Regional controls by plan
API: Available
Anthropic
Claude Sonnet, Claude Opus
Use cases: Long-context analysis, policy review, writing
Capability: Deep reasoning + careful instruction following
Deployment: Hosted API
Residency: Enterprise controls
API: Available
Gemini family
Use cases: Search-grounded analysis, multimodal content
Capability: High context + broad media support
Deployment: Hosted API
Residency: Cloud-region aligned
API: Available
Meta
Llama family
Use cases: Self-hosted AI, private inference, custom tuning
Capability: Flexible open-weight deployment
Deployment: Hosted or self-hosted
Residency: Customer controlled
API: Provider dependent
Mistral
Mistral Large, Mixtral, open models
Use cases: EU-aligned AI, efficient inference, private apps
Capability: Strong speed-to-cost profile
Deployment: Hosted or self-hosted
Residency: EU-friendly options
API: Available
Open-source / self-hosted
Qwen, DeepSeek, Cohere, custom models
Use cases: Sovereign AI, restricted data, internal tooling
Capability: Configurable speed, cost, and control
Deployment: Self-hosted
Residency: Customer controlled
API: Custom gateway
| Provider | Best use cases | Speed vs reasoning | Deployment | Data residency | API |
|---|---|---|---|---|---|
OpenAI GPT-5.5, GPT-4o, o-series High enterprise readiness | Multimodal workflows, agent tasks, enterprise apps | Fast multimodal + strong reasoning | Hosted API | Regional controls by plan | Available |
Anthropic Claude Sonnet, Claude Opus High enterprise readiness | Long-context analysis, policy review, writing | Deep reasoning + careful instruction following | Hosted API | Enterprise controls | Available |
Gemini family High enterprise readiness | Search-grounded analysis, multimodal content | High context + broad media support | Hosted API | Cloud-region aligned | Available |
Meta Llama family Medium-high enterprise readiness | Self-hosted AI, private inference, custom tuning | Flexible open-weight deployment | Hosted or self-hosted | Customer controlled | Provider dependent |
Mistral Mistral Large, Mixtral, open models High enterprise readiness | EU-aligned AI, efficient inference, private apps | Strong speed-to-cost profile | Hosted or self-hosted | EU-friendly options | Available |
Open-source / self-hosted Qwen, DeepSeek, Cohere, custom models Varies enterprise readiness | Sovereign AI, restricted data, internal tooling | Configurable speed, cost, and control | Self-hosted | Customer controlled | Custom gateway |
Designed for model governance
Compare hosted and self-hosted model families by use case, context size, API posture, data residency, speed, and reasoning depth before teams standardize on an AI platform.
Individual access
Free
Models: Core hosted catalog
Usage: Light daily usage
Context: Standard
Individual higher-usage access
Pro
Models: Expanded hosted models
Usage: Higher monthly usage
Context: Extended
Security and governance teams
Enterprise
Models: Hosted + approved model catalog
Usage: Contracted throughput
Context: Large context workflows
Financial, healthcare, government
Regulated Enterprise
Models: Private and residency-aware deployments
Usage: Dedicated capacity
Context: Custom context policy
Security & Compliance
A trust portal for AI governance reviews
Give security, legal, procurement, and compliance stakeholders a modern portal for reviewing controls, model policies, risk evidence, and enterprise AI governance posture.
Portal documentation
Expandable evidence cards
Data handling practices+
Document how submitted content is processed, retained, redacted, routed, and converted into trust evidence across website, document, image, video, and text workflows.
Model training policies+
Separate customer-submitted content from model improvement workflows, show zero-retention options, and expose model-family analysis as probabilistic forensic classification.
Privacy commitments+
Publish clear policies for encryption, access controls, regional processing, tenant boundaries, data minimization, and customer-controlled deletion.
Incident response+
Maintain severity tiers, response ownership, notification timelines, evidence preservation, remediation tracking, and post-incident review procedures.
Vendor risk management+
Give procurement and compliance teams a single place to review subprocessors, model providers, deployment modes, retention posture, and audit documentation.