COMING SOON

Introducing the next generation of analytics tooling.

Developed to serve as our in-house analytics and threat detection platform, we are now preparing to bring our tech to the public.

We are developing the next generation of AI-assisted technology for analysing complex networks and multimodal data in real time, advancing our ability to detect emerging threat actors, harmful behaviours, and risks at scale.

Our AI-powered platform integrates every step of our process, from developing policy, defining threat indicators, ingesting and analysing data and outputting threat intelligence products in near-real time.

Building on a modular system designed to account for the full threat management cycle, we allow users to develop security strategies and compliant policy frameworks, set indicator-based thresholds for detection, investigate networks and behaviours, integrate with external and proprietary systems for alerting and enforcement action, and conduct reviews to update strategies, frameworks, and indicators.

We will offer this under a modular Software as a Service (SaaS) model, providing users with flexibility and scalability to fit their specific needs.

Please feel free to get in touch or sign up for our newsletter to stay up to date on our latest developments.

A complex, colorful network graph with nodes and connections in reds, greens, purples, and blues on a black background.

Features will include

  • Comprehensive tooling allowing users to define policy and flags, continuously ingest and analyse data, take action and continuously update policies and models to meet emerging threats and requirements.

  • The ability to combine multiple user-generated and Revontulet data streams for deep, tailored analysis.

  • Detection and analysis of content, transaction, communications, behavioural indicators and signals through computer vision, audio recognition and signal detection, using both pre-defined and customised recognition models.

  • Detection of malicious behaviour against pre-determined and evolving indicators identified through network analysis and behavioural markers. 

  • Generation and continuous upgrading of safety policy and strategy frameworks through Retrieval-Augmented Generation (RAG) enhanced LLMs, applying learning from both existing frameworks and detected behaviours and threats.

  • Outputting data, alerts, dashboards and reports to inform strategic action before harm occurs. 

Flowchart illustrating a data management process for security policy development. It includes stages such as policy and strategy development, indicator specification, data collection, platform ingestion, indicators assessment, action and integration, culminating in policy evaluation and updates.

Our Data

  • A black and white icon of a camera with a circular camera lens and a small viewfinder on top.

    The backbone of all Revontulet products and services is our comprehensive graph database covering threats emerging from harmful networks and behaviours.


  • A detailed sketch of a cat with its head turned to the side, drawn with a black pen on white paper.

    The Graph allows for deep analysis to understand how bad actors operate, and how the threats they pose online and offline evolves over time. It also allows us to measure this against set thresholds.


  • A black and white drawing of a cartoon deer standing on its hind legs with a big smile, holding a dandelion in its front hooves.

    By modelling complex networks and applying multidimensional AI based analysis to understand behaviours, assess threats, detect signals we can unveil intelligence and aid in action in near-real time.


  • Black and white logo with the words 'Instagram for Business' and a person illustration in a speech bubble.

    We built our data model from the ground-up to assist future development of early-warning and detection systems to assist clients in proactively taking action to detect risks and prevent harm.