Trust, Security and Transparency
Phi Technologies helps organizations use AI with their own documents and workflows while keeping control over data storage, deployment, permissions, costs, and answer traceability.
PhiSuite can be configured around the customer’s infrastructure, risk profile, and internal governance requirements. The deployment model is selected before implementation, so data location and operational responsibility are clear from the start.
PhiSuite components can be deployed inside the customer’s own infrastructure for organizations that require maximum internal control over sensitive data and systems.
A dedicated private cloud environment can provide infrastructure flexibility while keeping documents, indexes, workflows, and access rules isolated.
For organizations that do not want to operate AI infrastructure directly, PhiTech can manage the technical environment according to the agreed setup.
Customer documents, uploaded files, private workflows, and internal knowledge bases are used to provide the configured service: document search, grounded answers, workflow automation, agent execution, and related functionality inside the selected environment.
Customer data is not used to train public or shared AI models unless this is explicitly agreed in a separate written arrangement. If external AI model providers are used, the model routing and data handling setup should be discussed before deployment.
PhiSuite supports controlled access patterns so that users only work with the documents, projects, agents, prompts, and tool configurations they are authorized to use.
PhiSuite can store structured records for agent workflows, including the executed agent, workflow steps, generated results, tool calls, timestamps, and token usage information. This supports review, troubleshooting, quality assurance, and internal governance.
Teams can understand which agent or workflow was used, what steps were executed, and what output was produced.
Token usage and execution details can help teams monitor usage patterns, improve workflows, and understand cost drivers.
PhiBox uses retrieval-augmented generation. Before an answer is generated, the system searches the connected document indexes and retrieves relevant passages from the organization’s own knowledge base.
Phi Technologies separates the main cost drivers so customers can understand what is included, what is optional, and which costs may vary depending on model usage, hosting, and integrations.
Implementation, configuration, document indexing, workflow design, and integration planning.
Servers, storage, GPU resources, backup capacity, hosting, or customer-owned infrastructure.
External AI model costs may vary based on input tokens, output tokens, embeddings, images, or provider pricing.
Monitoring, updates, support, workflow improvements, and ongoing technical maintenance.
Phi Technologies can discuss hosting location, infrastructure ownership, backup strategy, operational responsibility, and provider selection before deployment. The goal is to make infrastructure choices transparent and aligned with the customer’s security, compliance, and operational requirements.
Talk to Phi Technologies about deployment requirements, data governance, infrastructure options, and secure AI workflows for your organization.
Request a security and transparency consultation
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