Highlighter provides a documented GraphQL API and Python SDK for secure enterprise integration. It connects with platforms including Power BI, Azure Data Factory, SAP and SharePoint, supporting data ingestion, export and custom workflow automation.

Highlighter is the Enterprise Perception System, combining human expertise and AI to interpret real-world operational data. Beyond AI inference, it provides an integrated developer framework that enables engineering teams to build, extend and operationalise bespoke enterprise solutions. Key capabilities include:

• Python SDK and GraphQL API for developing reusable, schema-aware agents aligned with enterprise governance.
• Governed AI workflows supporting training, evaluation, version control and production deployment.
• Event-driven connectors for platforms including HTTP, UiPath and email, enabling automated workflows and third-party integrations.
• Extensible Python-based agents, actions and LLM tools with structured pipeline schemas for enterprise-scale deployment.

Highlighter is delivered as a browser-based SaaS platform and requires no local installation. Users only need a modern web browser and a reliable internet connection. For enterprise deployments, Highlighter also supports hybrid and edge architectures with standard API connectivity.

Highlighter protects data through encryption, role-based access, audit logging and ISO 27001-aligned security controls. These measures help organisations maintain privacy, control access and preserve traceability across enterprise AI workflows.

Highlighter supports edge deployment for low- and no-connectivity environments. Organisations can continue capturing data, running AI inference and completing human review while offline. Once connectivity is restored, results automatically synchronise with the central platform.

Highlighter maintains data quality and model performance through governed AI workflows and continuous evaluation. Schema management, version-controlled annotation workflows and model evaluation dashboards compare performance across releases using metrics such as precision, recall and mean Average Precision (mAP). Human oversight validates AI outputs in real time or asynchronously, creating continuous feedback loops and transparent performance monitoring.

Highlighter integrates with existing enterprise systems through standard APIs and enterprise connectors. It connects with platforms such as Power BI, SharePoint and SAP, enabling organisations to extend existing workflows with minimal disruption.

Highlighter is designed to scale as enterprise requirements evolve. Its modular, interoperable architecture supports new data sources, including image, audio, text and video, alongside custom AI agents, large language models and bespoke machine learning models across virtually any workflow or use case. As a vendor-agnostic platform, Highlighter integrates with existing enterprise systems, allowing organisations to adopt new technologies without becoming locked into a single vendor or ecosystem.

Highlighter supports edge, cloud and hybrid deployments to meet different operational and security requirements. Organisations can optimise performance, scalability and data sovereignty by selecting the deployment model best suited to their environment.

Highlighter processes imagery, video, LiDAR, IoT telemetry and text within a single operational environment. Highlighter delivers real-time operational insights regardless of data source or media type.

Highlighter stores data securely within your nominated geographic region on AWS. For Australian customers, the standard deployment region is Asia Pacific (Sydney). Raw media, structured outputs and system metadata are encrypted both in transit and at rest, supporting ISO 27001 certification and enterprise AI governance.