Near real-time classification and detections of signal structures without annotations.
Vixen Intelligence
Artificial Intelligence. Real Insight.
Choose an application.
Select one below to see what it can do.
01 / 09
Evolve integrals, not weights.
Build expressions, not weights. brahma-intelligence creates societies of bots all competing for survival evolving fundamental integrals that model your system on an atomic level. Draw inference from their interactions.
02 / 09
Our models are sentences, not black boxes.
Our models can be read, checked, and rejected. Peek under the hood and move away from reflex models in critical systems.
03 / 09
Live on the edge, not in the cloud.
No upload, no cloud queue, no third party. Just your data and your decision streams. Optimised for minimal footprint and compute, SIaR is built to run models live on the edge.
04 / 09
Quickly build detectors for your own targets of interest using brahma-intelligence.
Use brahma-intelligence, our proprietary machine learning framework, to quickly build a population of bots autonomously learning, competing, and working to better understand and detect your target(s).
05 / 09
Capture complexity with simple rule based models.
SIaR provides compute efficient rule based models that allow you to capture anomalies and/or targets of interest.
06 / 09
Run our models locally, offline, and securely.
SIaR is our proprietary library of models. Download and build your own datasets by running selected models on your local network and offline against your own data.
07 / 09
Fuzzy logic loves fuzzy data.
Put thresholds to bed. Apply super fast cutting edge fuzzy logic to capture insights.
08 / 09
Travel faster than sound.
Our acoustic signal models look to run 50x the speed of sound.
09 / 09
High performance computing ready.
A simple --parallel flag implements a parallel computation. SIaR is built to run on high performance computing clusters and can be deployed in parallel across multiple nodes.
01 / 14
IDent dynamics MCP. Go beyond automation.
02 / 14
Connect to your acoustic data streams.
Rapidly connect to your live data streams or data repos. Analyse and easily submit detector model building jobs to our AI engine. Deploy models for target detection across your streams in minutes and receive live notifications of detections.
03 / 14
OpenGL powered.
Our platform sits on a hardware accelerated OpenGL render engine. Easily navigate your data and view features and model responses in 3D. Update parameters and render in near real-time.
04 / 14
Quick Start. Drag and drop.
Quickly add individual files, folders or streams into your workspace. Easily merge and split files retaining all label and decision data integrity.
05 / 14
Machine learning: Setup and submit.
Ident gives you access to brahma. Simply setup and submit a signature to our ML engine.
06 / 14
Build & run models in near real-time.
Either build your own signal processing models on the platform using our domain specific language or allow brahma, our machine learning library to rapidly build and deploy models for you.
07 / 14
Monitor machine learning performance live.
Either build your own signal processing models on the platform using our domain specific language or allow brahma, our machine learning library to rapidly build and deploy models for you.
08 / 14
Powerful labelling tools.
Quickly add labels to existing datasets or create new ones. Spend time building and running models, not data wrangling.
09 / 14
Powerful labelling tools.
Import labels from CSV, Audacity, and others. Map columns once and reuse the import preset on every future file.
10 / 14
Labels
Timestamps and file metadata are automatically extracted and stored as label attributes. Custom templates can be created for your own formats.
11 / 14
Signal analysis tools.
Quickly highlight and analyse signal features in your data. This is especially useful for building signal processing models, but also for understanding your data and labelling it effectively.
12 / 14
Rapid model development.
Quickly build and optimise models based around signal processing as well as submitting signature detection model development to our proprietary acoustic focussed machine learning engine, brahma.
13 / 14
brahma: submit signatures of interest for rapid model development.
Build your own signal processing models or submit signatures of interest directly from our platform to brahma. Inspect your models directly on the platform and one-click deployment.
14 / 14
Machine learning: Access, rank and investigate/deploy your models.
Quickly benchmark, run, and deploy your models.