Applied AI consulting
bryantidea is a boutique consultancy. We design, build, and hand over custom AI software — engineered for your data, your tools, and your constraints. Our deepest work is in film and post-production; the same engineering runs data centers, forecasts weather and markets, and predicts the properties of molecules. You own what we build.
Different industries, one common problem: an AI capability that has to work on real data, inside a real system, under a real deadline.
Artist-facing tools for the shot work itself — roto, cleanup, restoration, likeness — plus technical due diligence on vendor AI claims and AI features built into products the industry already uses.
Scheduling, load balancing, and thermal control learned from your own telemetry — with the safety envelopes, fallbacks, and audit trail an operations team needs before it hands over control.
Weather models, market and risk models, and pharmaceutical work from molecular property prediction to mass-spec analysis — with the evaluation harnesses that tell you honestly whether a prediction is worth acting on.
Our largest practice. Three areas where the work is repetitive, deadline-bound, and worth engineering properly. Every engagement ends with software your team owns and can maintain.
The highest-volume, lowest-joy work in the building — accelerated without taking control away from the artist.
Typically delivered asComp-integrated plugins, a training pipeline on your own footage, and documentation.
Archive and acquisition problems solved to a spec a colourist will actually accept, at the volume a facility actually runs.
Typically delivered asA batch processing service on your farm, with QC reporting and per-title tuning.
De-aging, beauty, and face replacement built on documented consent and a clear chain of rights — the part that decides whether the work can ship at all.
Typically delivered asA production pipeline plus the consent records and audit trail your legal team will ask for.
The same engineering — real data, measured honestly, handed over working — applied outside the industry. These are systems we have designed and built.
Workload placement and cooling control learned from your own telemetry, inside safety envelopes your operations team sets and can override at any time.
Typically delivered asA control service in your environment with simulation, shadow-mode evaluation, and hard fallbacks.
Learned forecasting models trained on observation and reanalysis data, scored against the baselines your field already trusts.
Typically delivered asTrained models, an inference service, and a scoring harness you can rerun as data arrives.
Quantitative forecasting built with the discipline the domain demands — walk-forward testing, honest baselines, and a clear account of what the model does not know.
Typically delivered asResearch code, a backtesting harness, and a production inference path your team controls.
Work at both ends of the bench: predicting what a molecule will do before anyone makes it, and getting answers out of instrument data that would otherwise be curated by hand.
Typically delivered asTrained models, a prediction or analysis service, and a held-out validation set your chemists can check us against.
The same four steps whether the subject is a shot, a server room, or a forecast — software that can't clear review can't ship.
We start with your footage, your telemetry, or your historical data — and the people who will use the thing — then agree a fixed scope. Not an open-ended research project with a monthly invoice.
Models are trained on data you own or license, with the provenance of every asset recorded before training begins.
Quality, latency, and safety metrics are defined up front, against baselines your field already trusts. Likeness work starts with documented consent and a defined scope of use; control systems run in shadow mode before they touch anything.
You get the source, the weights, the training pipeline, and the documentation. Your team can retrain, extend, and maintain it without us — and we're happy to stay on if you'd rather we did.
We're not selling a black box with a subscription attached. We build it, we hand it over, and it belongs to you.
bryantidea is led by an engineer who builds AI systems for teams that have to ship them.
bryantidea is a consultancy founded by Andrew Bryant, a mathematician and software engineer with deep experience in applied machine learning, generative AI, and media technology.
Andrew has worked across research, prototyping, and productization — building the pipelines, evaluation, and infrastructure that turn a promising model into something a working team can depend on. That work has covered visual effects and post-production, data center load and thermal management, weather prediction, quantitative market models, and pharmaceutical research from molecular property prediction to mass spectrometry.
bryantidea points that experience wherever the problem is concrete: software built for the people who use it, honest about what today's models can and can't do, and delivered so you can maintain it yourself.
Tell us about the show, the system, or the model you're trying to trust.
Send a short note about your company, the work you're trying to make possible, and the dates you're up against. We'll reply with a couple of options: a quick call, a focused workshop, or a scoped pilot on your own data.
Silicon Valley, CA · Remote and on-site
