Patented. Cloud-native. No new hardware.
Connect your cameras today. Receive decision-grade data tomorrow.
No hardware shipped. No software installed. No model retraining required. FYMA's patented engine connects to your existing cameras and processes everything in the cloud - delivering 97–99% accuracy out of the box, built entirely on proprietary datasets. You can be up and running in as little as half a day.
The Zero-Install Architecture
Nothing to ship.
Nothing to install.
Most computer vision vendors ship edge devices, require on-premise GPU servers, or ask you to upgrade your cameras. FYMA does none of this.
We connect directly to your existing RTSP camera streams and process everything in the cloud. No hardware leaves our office. No software touches your infrastructure. There is genuinely nothing to install.
We process camera feeds at low fps to reduce bandwidth when needed, use highly efficient TensorRT-optimised models that only run when there's actual movement, automatically scale GPU resources to match real-time demand, and store only compact structured metadata - the result of five years of continuous optimisation that allows us to scale efficiently.
Step
What happens
1. RTSP stream ingestion
Your existing IP cameras - any make, any age - send their feed to FYMA's cloud
2. Privacy by design
Our AI models are trained to detect people by body - legs, torso, arms - never faces. Video is immediately discarded; only anonymised metadata is retained
3. Object detection & classification
People, vehicles, equipment, zones - detected and classified in real time
4. Behavioural analytics
Raw detections become structured, queryable metrics
5. Time-series aggregation
Raw detections become structured, queryable metrics
6. Outputs
Dashboards, real-time alerts, API exports, portfolio benchmarking
We store anonymised metadata, never identifiable footage. Our models were never trained on faces - video is discarded immediately after processing.
No facial recognition. No biometric data. Ever.
Why Cloud-Native Changes Everything
The questions every technical buyer asks - answered.
FYMA's architecture is engineered to minimise bandwidth consumption. We downsample streams before processing, extract only the metadata we need, and discard the video. The bandwidth footprint is a fraction of what most people expect - and significantly less than shipping raw footage to a recording server, which most camera setups already do.
Patented Technology
Built over five years.
Patented in the US.
FYMA's computer vision engine is protected by a US patent, with an EU patent in progress. Our proprietary technology stack - spanning stream ingestion, real-time obfuscation, multi-model inference, and time-series analytics - represents years of focused R&D by a data science team based in Estonia, recognised by NVIDIA as a DeepStream technology partner.
This is not a wrapper on an open-source model. It is a purpose-built, end-to-end system designed for one thing: turning any camera into a continuous, privacy-compliant data sensor at enterprise scale.
US patent granted; EU patent in progress
NVIDIA technology partnership (DeepStream + Triton)
Data science centre: Tallinn, Estonia
Headquarters: London, UK
Out-of-the-Box Accuracy
97–99% accuracy.
No custom model training required.
Most computer vision platforms need weeks of labelling, annotation, and model retraining for every new client environment. FYMA's models work out of the box - no per-client retraining required.
Our models are built entirely on proprietary datasets, developed and refined over five years across hundreds of environments - shopping centres, offices, gyms, car parks, transport hubs, and urban spaces. This isn't a thin layer on top of open-source models. It's a purpose-built detection engine trained on our own data that achieves 97–99% verified accuracy without being retrained for your site, your lighting, or your camera angle. Where a genuinely novel detection requirement arises, we can train and deploy a new custom detector - but that's the exception, not the starting point.
This is not a marketing claim. FYMA has been independently benchmarked against industry-leading OEM camera manufacturers - the kind of companies whose names you'd recognise from any enterprise security spec sheet - and has outperformed them every time.
Why? Legacy camera OEMs built their analytics for security - isolated event triggers and incident detection. FYMA was built from day one for continuous operational monitoring: sustained accuracy, every hour, every day, across every camera in a portfolio. That's a fundamentally different engineering challenge, and we've solved it.
97–99% Verified detection accuracy, out of the box
Independently benchmarked against leading OEM camera analytics - outperformed every time
No per-client retraining required - deploy in as little as half a day
500fps on NVIDIA T4 GPU for a single video stream
Three Ways to Process
Live, recorded, or streamed - one platform handles all three.
FYMA isn't limited to a single processing mode. Depending on what your operation needs, the platform supports three distinct approaches - all feeding into the same dashboards, the same API, and the same analytics.
1. Deep insights
Most clients don't need live data - they need high-quality, reliable analytics. FYMA processes video into structured data and automatically deletes the footage once processing completes successfully. A short buffer is maintained purely to safeguard against processing errors - ensuring zero data loss - before being purged. This is the most common mode because it delivers the same depth of insight without requiring a persistent live connection.
2. Live processing
For environments where real-time data matters - live occupancy monitoring, queue alerts, capacity management - FYMA processes camera streams in real time, delivering instant analytics and triggering alerts as events happen.
3. Post-processing
Where live camera connections aren't possible - temporary sites, retrospective analysis, or pre-recorded footage from events - you can send us video files directly. We process them through the same engine and return the same structured data and dashboard access as any other mode.
Same engine. Same accuracy. Same dashboards.
The only difference is how the video reaches us.
Scale Across Portfolios
One platform. Every site. Comparable data.
FYMA isn't built for a single-building pilot that never scales. It's built for portfolio operators who need consistent, comparable metrics across dozens or hundreds of sites.
With hundreds of thousands of hours of video data processed across commercial real estate portfolios in the UK, Europe, and North America, FYMA delivers normalised benchmarking data that lets you compare performance across locations, track trends over time, and make strategic capital allocation decisions backed by real evidence.
Because every camera runs through the same cloud engine with the same models, your data is consistent by default - no calibration differences between sites, no sensor drift, no hardware variation.
Hundreds of thousands of hours of video data processed
Portfolio benchmarking - normalised metrics across all sites
Consistent models - same engine, same accuracy, everywhere
Integration & Security
Connects to anything.
Secured by design.
FYMA integrates with any IP camera that outputs an RTSP stream - regardless of manufacturer, age, or resolution. There is no approved hardware list. If it's an IP camera, it works.
For data consumers, FYMA provides a full REST API secured with OAuth 2.0 Client Credentials authentication, with comprehensive documentation for server-to-server integration.
Works with any IP camera (no approved hardware list)
API authentication: OAuth 2.0 Client Credentials
GDPR-compliant from day one - privacy-by-design, not privacy-by-retrofit
HTTPS enforcement, token expiration management, SSL validation
Documentation: Getting started guide + full API reference
Rapid Custom Detectors
Need something new?
It doesn't take months.
While FYMA's core models cover the vast majority of detection requirements out of the box, we can train and deploy custom detectors for specific objects or scenarios from a small set of representative images - typically within 24–48 hours. This is not a six-month professional services engagement. It's a capability built into the platform.
See what your cameras
already know.
Most buildings already have the infrastructure.
They just don't have FYMA connected to it yet.