Applied AI studio

AI that watches, labels and verifies.

Monitor.Label.Detect.Verify.

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.

24/7
Continuous monitoring pipelines
3
Deploy modes · cloud · hybrid · on-prem
2wks
Between working demos
100%
Code, models & data owned by you
Capabilities

Six disciplines, one team.

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.

01

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.

BroadcastSocial videoAlerts
02

Data labeling & annotation

Model-assisted labeling for video, image, audio and text. Active learning sends humans only the hard cases, and QA workflows keep label quality measurable.

Pre-labelingActive learningQA
03

Deepfake & synthetic media detection

Detect manipulated faces, cloned voices and AI-generated images. Explainable scores and heatmaps show reviewers why something was flagged, not just that it was.

Face swapVoice cloneProvenance
04

Speech & language AI

Transcription, translation and analysis, including low-resource languages. We fine-tune on your domain audio, so accuracy improves with every correction.

ASR fine-tuningMultilingualNLP
05

Document & knowledge AI

Retrieval over contracts, regulations and case files. Answers come in plain language with citations, and knowledge bases stay current as the source material changes.

RAGSemantic searchCitations
06

Private & sovereign AI

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.

vLLMGPU sizingHybrid
Solutions

Built once, tailored every time.

We start from proven solution blueprints, then shape each one around your data, your rules and your review workflow.

monitor / channel-07 / live
LIVE · ANALYSING
Rule match · Hate speech20:14:07High
Undisclosed sponsorship20:09:51Review

Media monitoring & compliance

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.

Rules you controlCategories, severities and alert routing are configured in the UI, not hard-coded.
Chain of custodyOriginals are hash-sealed and kept in write-once storage, ready for evidence export.
Team reviewComments, statuses, case files and an audit trail of every decision.
verify / upload_2291.mp4
AuthenticityLikely manipulated · 94%
Face boundary artefactsStrong
Lip-sync / audio mismatchStrong
C2PA provenanceMissing

Deepfake & synthetic media detection

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.

Video, image & voiceFace-swap, lip-sync, generated-image and cloned-voice detectors run in one pass.
Explainable reportsHeatmaps, per-signal scores and a plain-language summary a reviewer can defend.
Stays currentDetectors are retrained as new generators appear, with regular evaluation against fresh samples.
label / batch-148 / frame 0412
vehicle · 0.97
person · 0.92
needs review
Pre-labeled by model8,240 itemsAuto
Sent to human review612 itemsQueue

Labeling studio

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.

Every modalityBoxes, polygons, video tracks, audio segments, transcripts and text classes.
Active learning loopUncertain items go to people first, so each hour of labeling improves the model most.
Measurable qualityConsensus, gold-set checks and reviewer agreement tracked per batch.
Process

From idea to production, in steps you can see.

Fixed scope, fixed price and a working demo every two weeks. You always know what you're paying for and where the project stands.

01

Discover

1–2 weeks

We map your data, workflow and constraints, then return a written plan with sizing and running-cost estimates.

02

Prototype

2–4 weeks

We prove the AI on your real samples and measure accuracy before anyone commits to a full build.

03

Build

8–12 weeks

We build security, roles, review tools and integrations, with signed acceptance at every milestone.

04

Run & improve

Ongoing

Handover, training and warranty, then optional support while the models keep learning from your corrections.

Industries

Where we make an impact.

Our solutions are for teams whose work depends on reviewing large amounts of media or text accurately and defensibly.

Regulators & public sector Monitor

Broadcast compliance, election coverage and evidence preparation.

Media & newsrooms Verify

Source verification, archive search and synthetic media screening.

Trust & safety Detect

Content moderation queues, policy classifiers and escalation tooling.

Legal & compliance Search

eDiscovery, regulatory knowledge bases and case file assistants.

Banking & identity Verify

Liveness checks, deepfake defence for KYC and voice-fraud detection.

AI & research teams Label

Training data pipelines, evaluation sets and annotation at scale.

Technology

Open where it counts, frontier where it helps.

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.

PerceptionSee and hear
WhisperVision-language modelsObject detection & trackingOCRDeepfake detectors
ReasoningUnderstand and decide
Open LLMs on vLLMFrontier LLM APIsEmbeddingsRAG & rerankers
ProductWhere people work
ReactTypeScriptNestJSPython / FastAPIPostgreSQL + pgvector
InfrastructureRun it anywhere
Google CloudAWSOn-prem GPUsKubernetesTerraformCI/CD
Responsible by default

AI that informs. People decide.

Our systems do the first pass, and accountable people make the call. Every design decision supports that.

  • Human in the loopFindings are suggestions. Reviewers confirm, dismiss and explain.
  • Explainable outputQuotes, frames, heatmaps and sources, never a bare score.
  • Data stays yoursYour region, your keys, or fully on premises.
  • Full audit trailEvery view, edit and export is logged and attributable.
  • Secure accessTwo-factor sign-in, SSO and role-based permissions.
  • No lock-inSource code, weights and infrastructure are transferred to you.
Let's build

Too much to watch, label or verify by hand?

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.