The Platform

The AI platform connecting models, tools and workflows.

Infera connects AI models with organisational knowledge, applications and tools, giving teams a flexible foundation for building useful AI experiences and workflows. Choose the components and deployment approach that fit the task.

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Model Connectivity

Choose the Models That Fit Your Needs.

Infera can connect to selected cloud-hosted AI models or models deployed in a private environment. Different models and deployment approaches can serve different workloads.

Cloud-hostedExternal providers Private / localYour infrastructure

Your teamsPrompts, files & tools

Model routing

Cloud-hosted External provider

Cloud AI modelsSelected external providers

Private / local Organisation-controlled

Private AI modelsPrivate cloud or local hosting

Cloud model connection. Connect to selected external AI models when their capabilities suit the task.

Private model connection. Connect to AI models running within a private cloud or locally managed infrastructure.

Architecture

One Platform. Connected Components.

Infera connects people, connected devices, knowledge, models and business systems needed to turn AI into a practical business capability. This is a typical deployment — components and connections can differ depending on your requirements.

Typical deployment Inside your environment

UsersTeams and knowledge workers

IoT & Smart DevicesSensors, equipment and edge data

AI WorkspaceThe shared interface for people and connected devices to work with AI Core interface

Agents & WorkflowsCoordinate tasks and business processes

Knowledge & RAGRetrieve relevant information from approved sources

Tools & IntegrationsConnect to APIs, MCP tools and existing systems

Models & RoutingSelect suitable AI models for different tasks — private and local models, or selected external models PrivateLocalCloud

Your systems

DocumentsDatabasesAPIsApplications

Deployment InfrastructureCloud, private cloud or on-premise — depending on configuration Cloud Private cloud On-premise

Responsible AI

Responsible AI Is Built Into the Way You Work

Deploying AI is not only about choosing a model. Organisations also need to consider what information AI can access, how it responds, which actions it can take and when people must remain in control.

Access & Permissions

Control who can use AI capabilities and which connected information or tools they can access.

AI Guardrails

Apply appropriate safeguards to help manage harmful requests, unsuitable outputs and attempts to misuse AI.

Grounded Responses

Use approved knowledge sources and retrieval to help responses stay relevant to organisational information. Where supported, provide source references and make gaps in evidence visible.

Model & Tool Controls

Choose appropriate models and limit connected tools and actions according to the task and risk.

Human Oversight

Keep people involved in sensitive decisions and require approval before consequential or disruptive actions where appropriate.

Monitoring & Review

Use available logging, monitoring and review processes to examine AI activity and improve operational controls.

How It Works

From Business Problem to AI Solution

Understand

Start with the business problem, objective and desired outcome.

Connect

Identify the relevant data, knowledge, systems and business processes.

Build

Configure the appropriate models, RAG, agents, skills, tools and workflows.

Integrate

Connect AI to the organisation’s existing systems and infrastructure.

Deploy

Run the solution in the environment that best fits your organisation’s requirements.

Operate

Monitor, maintain, optimise and continuously improve the AI solution.

Bring AI into the work that matters.

Start with the work you want to improve, the systems you already use and how your organisation wants to govern AI. We can help shape the right approach.

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