AI media monitoring
Ingest live streams and archives, transcribe, read on-screen text and flag what matters against your own rules, with real-time alerts and findings pinned to the second.
We design and build production AI for organisations that handle large volumes of video, audio and documents. It monitors media around the clock, builds high-quality training data, flags synthetic content and keeps every result traceable. Everything runs in your cloud or on your own hardware.
We combine perception models, language models and careful engineering. The result is AI your reviewers can trust, your auditors can follow and your IT team can run.
Ingest live streams and archives, transcribe, read on-screen text and flag what matters against your own rules, with real-time alerts and findings pinned to the second.
Model-assisted labeling for video, image, audio and text. Active learning sends humans only the hard cases, and QA workflows keep label quality measurable.
Detect manipulated faces, cloned voices and AI-generated images. Explainable scores and heatmaps show reviewers why something was flagged, not just that it was.
Transcription, translation and analysis, including low-resource languages. We fine-tune on your domain audio, so accuracy improves with every correction.
Retrieval over contracts, regulations and case files. Answers come in plain language with citations, and knowledge bases stay current as the source material changes.
Open models served on GPUs you control, with frontier models used only where they add value. We size the hardware, tune the cost and hand you the keys.
We start from proven solution blueprints, then shape each one around your data, your rules and your review workflow.
Hours of broadcast, streaming and social video are reduced to a short list of moments that need a human. Each one comes with the words, the frame and the rule it may break.
Before a video is trusted as evidence, published or used for identity checks, find out whether it is real. Our ensemble checks the picture, the voice and the file's history.
Training data is where AI projects succeed or stall. Models pre-label the easy cases, people handle the uncertain ones, and every label is versioned and scored for quality.
Fixed scope, fixed price and a working demo every two weeks. You always know what you're paying for and where the project stands.
We map your data, workflow and constraints, then return a written plan with sizing and running-cost estimates.
We prove the AI on your real samples and measure accuracy before anyone commits to a full build.
We build security, roles, review tools and integrations, with signed acceptance at every milestone.
Handover, training and warranty, then optional support while the models keep learning from your corrections.
Our solutions are for teams whose work depends on reviewing large amounts of media or text accurately and defensibly.
Broadcast compliance, election coverage and evidence preparation.
Source verification, archive search and synthetic media screening.
Content moderation queues, policy classifiers and escalation tooling.
eDiscovery, regulatory knowledge bases and case file assistants.
Liveness checks, deepfake defence for KYC and voice-fraud detection.
Training data pipelines, evaluation sets and annotation at scale.
We are model-agnostic by design. Every model sits behind one interface, so moving from a paid API to your own GPUs is a configuration change.
Our systems do the first pass, and accountable people make the call. Every design decision supports that.
Send us a sample and tell us how your team works today. We'll come back with a scoped plan, a timeline and honest cost estimates.