Price the fear in the connection queue.
£100bn+ of clean energy and data centre infrastructure sits stranded behind grid connection queues. QueueQuant turns queue-delay uncertainty into bankable capital decisions.
We don't just find the expected case — we price the tail.
queue — mid-2026
firm connection date
in just a 6-month period
capital gated by the queue
A pricing problem, not a mapping problem.
Mapping tools tell you where the grid is constrained. They can't tell you what to do about it. Under TMO4+, Gate 2, and monthly reissued assessments, the queue is a moving target — and deterministic studies price a single future that never arrives. Developers sign non-firm connections blind to curtailment, or over-build firm capacity they'll never use. Either way, capital freezes.
The moving target
Connection assessments are reissued on a rolling basis. Last month's optimal decision is this month's stranded capex.
The curtailment blind spot
A fast non-firm connection can be curtailed 2% of the year — or 35%. Unpriced, that gap is the difference between a strong IRR and insolvency.
The capex paradox
Self-build HV, private wire, and co-located BESS bypass the queue — but demand large, hard-to-reverse capital commitments made under deep uncertainty.
Decision intelligence, not another static report.
QueueQuant fuses machine-learning forecasting across price, curtailment, and queue-timing risk with multi-stage stochastic mixed-integer optimisation under full recourse.
Co-Optimised Capital Sizing
Solves MW capacity, BESS duration, private wire, contestable ICP works, and backup generation together — to structurally minimise stranded capex under queue uncertainty.
Downside Tail Protection (CVaR)
Quantifies the 1-in-20 downside, protecting investment committees from catastrophic delays and unpriced curtailment volatility.
Switching-Boundary Intelligence
Pinpoints the exact inflection points where queue slip or curtailment flips the optimal pathway between Gate 2, Non-Firm, private wire, and off-grid.
Quantified Decision Alpha (VSS)
Evaluates counterfactuals and regret surfaces to uncover the hidden option value that deterministic studies overlook.
Three stages, from raw uncertainty to a definitive call.
Forecast
Multi-dimensional ML forecasting across price, curtailment, and queue-timing risk generates a probability-weighted scenario tree over the full asset horizon.
Optimise
A multi-stage stochastic MIP solver co-optimises structural decisions today against operational recourse across every scenario — sizing, dispatch, and pathway.
Decide
A Capex-versus-risk frontier, tail-risk metrics, and a single recommended pathway — recalculated whenever the network registers change.
Institutional-grade answers for the capital at stake.
Data Centres & Industrial Loads
Compress energisation timelines with hybrid private wire, BESS, and flexible grid sizing — without over-committing capital.
Clean Energy IPPs & Storage Developers
Co-optimise BESS duration and de-risk Gate 2 versus Non-Firm connection offers with priced curtailment exposure.
Energy Transition & Infrastructure Funds
Institutional-grade tail-risk (CVaR) underwriting and portfolio valuation, ready for the investment committee.
years of specialised expertise in stochastic mixed-integer programming, machine-learning forecasting, and energy systems — the foundation QueueQuant is built on. We turn that depth into rigorous, repeatable decision-intelligence software for the connection queue.
Selecting 2–3 partners with active Gate 2 / TMO4+ offers.
Selected clean energy IPPs, data centre developers, and infrastructure funds receive a complimentary, independent switching-boundary and tail-risk assessment under NDA — a first, concrete read on the capital you could be leaving on the table.