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AI vision systems: detection, perception, and the model behind them.

Practical advisory on computer-vision strategy — where it works, where it doesn't, and the architecture decisions that make a vision system worth deploying. Informed directly by the research programme at Dynamis Labs.

Dynamis Advisory — Vision provides decision-grade counsel on computer-vision systems for Australian enterprises: image and video integrity review, deepfake and synthetic-media detection, bespoke CV feasibility, perception for physical environments, and provenance via C2PA. Independent of vendors (Google Cloud Vision, AWS Rekognition, Hive, Reality Defender) and informed directly by the OrthoPairGTL research programme at Dynamis Labs.

  1. Vision
  2. Integration
  3. Architecture
  4. Governance

Workstreams

Where Vision counsel earns its place.

Four shapes of work, each grounded in research the team can defend. Pick the one closest to the problem — or describe a different one and we’ll tell you whether it’s tractable.

Image & video integrity review

Where deepfake, face-reenactment and diffusion-class synthetic media is a live risk — broadcasters, insurers, regulators — we review the detection posture, the evaluation methodology, and what a defensible "we checked" looks like in writing.

Bespoke computer-vision feasibility

A scoped study to establish whether a perception, classification, segmentation or re-identification task is tractable on your data, your operating constraints and your budget — with a written go / no-go either way.

Perception for physical environments

Counsel for vision systems that have to work in real conditions: variable lighting, motion, partial occlusion, edge inference. The decisions live here; the build runs through Dynamis Labs.

Synthetic-media risk & provenance

Provenance pipelines, watermarking strategy, and the boundary between detection (after the fact) and provenance (before the fact). Useful when "is this real" needs an answer the company can stand on.

Where the work moves from advisory to delivery, it lives with Dynamis Labs. Vision counsel is where the question gets asked — and answered — before anyone trains a model.

Engagement shape (Briefing, Review, Fractional) lives on the Advisory overview.

Common questions

FAQs

Here are some of our most frequently asked questions. Can't find what you're looking for? Reach out to our support team.

What is a deepfake, and what is the current state of detection?
A deepfake is synthetic image or video media generated by a neural network — most often face-reenactment, lip-sync, or full-frame diffusion. Detection has shifted from per-pixel forensics to representation-based methods: spatio-temporal contrastive learning on frozen self-supervised backbones (DINOv3, SigLIP) is now the strongest line, generalising across compression and unseen generators.
How long is a Vision Briefing or Review?
Briefing — one week, fixed fee, on a single decision question (e.g. should we adopt a vendor detection API?). Review — three to six weeks, full pass on the vision posture: incumbent systems, evaluation methodology, regulatory exposure, and a written remediation plan. Engagement shape is on the Advisory overview.
Are you independent of vision-system vendors?
Yes. Dynamis does not resell licences for or take referral fees from any vision-API vendor (Google Cloud Vision, AWS Rekognition, Hive, Reality Defender, Truepic). When the right answer is "use the vendor", we say so; when the right answer is "build your own", Dynamis Labs runs that build. The advisory line is independent.
Do you build vision systems, or just advise?
Advisory writes the decisions. Implementation lives at Dynamis Labs, where the standing OrthoPairGTL programme builds production-grade computer-vision systems on a frozen DINOv3 backbone with LoRA fine-tuning. The advisory engagement decides whether to build, what to evaluate against, and how to govern the result; Labs ships it.
What is C2PA and where does it fit?
C2PA is the Coalition for Content Provenance and Authenticity — an open standard for cryptographically signing the origin and edit history of an image, video or audio file. Provenance (before-the-fact) and detection (after-the-fact) are complementary; vision counsel typically recommends both, with C2PA carrying the legal weight.

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