What we build
Blackdown works where model outputs meet commercially consequential decisions. We combine energy-market context, deterministic engineering and explicit human control.
AI-assisted drafting and analysis for renewable origination, with economics reconciled against pricing logic the desk already trusts.
GoO and REGO inventory matching across registries, vintages and delivery periods, with decisions and supporting evidence prepared for review.
Deterministic optimisation and governed decision support for batteries operating across wholesale, reserve and balancing markets.
Multi-step trading and operations workflows separated into model reasoning, deterministic calculation, controlled execution and named human approval.
How we deliver
The delivery method depends on the workflow, but the operating principles remain consistent: agree the authoritative data and calculations, define where a model can reason, preserve established authority and evaluate the result against evidence the desk already recognises.
Define the workflow, evidence base, principal risks and measurable outcome.
Agree the architecture, system boundaries, control model and evaluation plan before build.
Deliver working software against clear milestones, reviewed by the people who will operate it.
Assess performance against representative historical data and existing pricing or control logic.
Deploy the system, document the controls and transfer enough knowledge for the client team to operate it.
Models can interpret contracts, compare alternatives and prepare decisions. Deterministic services remain authoritative for controlled calculations, while binding actions pass through the organisation's established permissions and approval process.