AI Companion
Direct models, managed platforms, routers, and private inference
Choose approved AI for a specific Inbox or through shared company policy. The governed AI Companion layer is included with every plan.
The Companion principle
Connect the service provider you choose to the Inboxes you authorise. Each Inbox determines what context may be shared, what operation is allowed, which limits and approvals apply, and what evidence must return. The provider supplies the capability. Your conditions retain control.
01
Business message
02
Inbox context and policy
03
Companion capability
04
Result back to Inbox
One pattern, many capabilities
AI is included in every plan. Payment and Identity are available specialist Companions. Delivery and Voice are coming soon.
Direct models, managed platforms, routers, and private inference
Choose approved AI for a specific Inbox or through shared company policy. The governed AI Companion layer is included with every plan.
Available now
Your approved payment service provider
Execute a permitted payment from a webchat conversation, through an authorised agent, or in response to a defined business action. Assign the provider to any authorised Inbox. Inbox policy controls who or what may initiate the payment, its purpose and amount, and the required limits and approvals. The outcome returns as a governed business message.
Your approved identity, access, account resolution, or lifecycle provider
Make the identity provider you choose available to any authorised Inbox. Verify identity, resolve an account, or control access to a personal Inbox while purpose, authority, consent, context, outcome, retention, and evidence remain governed.
Coming soon
Fulfilment, logistics, shipping, and delivery providers
Make an approved delivery provider available under Inbox-specific order, recipient, status, exception, and evidence conditions.
Voice and conversation providers
Govern voice interactions, channel consent, context, transcripts, actions, and evidence inside the relevant Inbox.
Four valid AI Companion patterns
DataInbox does not force model selection into one layer. The company decides where routing belongs for each operating context.
DataInbox selects one eligible provider endpoint for the task and receives its standardised result.
DataInbox selects an orchestration service that can choose an underlying model inside an approved boundary. euqai is one example of this category, not the category itself.
DataInbox invokes a cloud platform that exposes several approved model families through one managed control surface.
DataInbox invokes a local, dedicated, or privately hosted inference endpoint when data must stay inside a controlled environment.
Selection remains business policy
Data classification, consent, residency, endpoint, and permitted fields.
Task type, output schema, quality threshold, evidence, and review requirement.
Budget ceiling, rate limit, throughput, and high-volume handling.
Availability, timeout, retry, fallback order, and human escalation.
Configuration proof
This sanitised customer-service pattern demonstrates how message context, lookup requirements, AI instructions, and result handling can remain explicit. Sensitive prompt logic and customer details are not published.
Sanitised policy configuration
Real configuration pattern, customer details removed
Runtime decision trace
01Message context
Latest customer message and permitted known fields
02Deterministic gate
Order number and postcode policy must pass
03Required lookup
No status claim without a successful business-system result
04AI Companion
Drafts a short answer from approved result fields only
Governed result: the Companion output returns as a structured business message. Existing rules decide whether it may be sent, reviewed, retried, or rejected.
AI Companion directory
These pages support discovery and entity indexing. They describe stable architectural fit, not a promise about a specific model version. Connector availability depends on configuration, credentials, contract, region, and deployment.
Direct AI Companion
General-purpose reasoning, multimodal understanding, generation, and tool-enabled tasks.
View Companion profileDirect AI Companion
Reasoning, long-context analysis, generation, and tool-enabled tasks.
View Companion profileManaged AI Companion
Managed multimodal, generative, and model-serving capabilities in Google Cloud.
View Companion profileManaged multi-model Companion
Managed access to multiple model families through an AWS control surface.
View Companion profileDirect or privately deployed AI Companion
European generative AI capabilities with managed and deployment-flexible options.
View Companion profileOpen-weight AI Companion
Open-weight language-model capabilities deployed through infrastructure selected by the organisation.
View Companion profileDirect enterprise AI Companion
Enterprise generation, retrieval, embedding, and reranking capabilities.
View Companion profileDirect AI Companion
Language-model capabilities for analysis, generation, and long-context workloads.
View Companion profileModel ecosystem Companion
Access to open-model inference and deployment tooling across a broad model ecosystem.
View Companion profileMedia AI Companion
Image and media generation or transformation for approved creative workflows.
View Companion profileWeb-grounded AI Companion
Web-grounded search and answer capabilities for tasks that permit external research.
View Companion profileInference AI Companion
Hosted inference for supported model families where response speed is an important condition.
View Companion profile