Fully deterministic·Provably feasible·Auditable
The optimization engine for problems too big and too personal for conventional solvers — solved orders of magnitude faster, the instant the world moves. One engine, proven in finance and expanding across real-time operations.
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No background assumed. Every specialist term on this site is defined on the glossary page.
Some decisions have three awkward properties at the same time. There are far too many possible answers to check by hand. The answer has to obey strict rules. And it has to arrive before a particular moment, or it is worthless — however good it would have been.
Two real examples. A wealth manager runs fifty thousand individual investment accounts. Every night, before the market opens, each one needs its own list of what to buy and sell — respecting that client's tax position, restrictions and risk limits. Miss the open and the trades don't happen. Separately, an electricity grid operator has thousands of batteries spread across a region. Every few seconds, each one needs a new instruction as power prices move. The grid does not wait; miss the moment and the opportunity is gone.
These two look nothing alike. Underneath they are the same problem: search an enormous number of options, obey every rule, and finish on time.
PRISM is the software that does that. It returns an answer that breaks none of the rules, is as close to the best available as makes any practical difference, arrives inside the deadline, and comes with a record of how it was reached — so an auditor or regulator can check the decision later. Run it twice on the same inputs and you get exactly the same answer.
The honest short version. Existing tools already solve these problems well at small scale. They struggle when the number of accounts, assets or devices gets large and a hard deadline applies. That gap is the only thing we sell into — and where we don't win, we publish that too.
The deepest, money-grade proof is in finance — direct indexing and real-time portfolio decisioning, on real data, losing cases kept in. The same core extends to any high-stakes decision that must be re-solved correctly, on time, the instant the world moves.
Personalized, tax-aware portfolios across thousands of accounts — deterministic, auditable, and fast at fleet scale, with the tail reported to the percentile. The deepest evidence base on the site.
Optimal rebalancing plus full risk attribution inside a hard latency budget — at universe sizes where standard optimizers stall.
Re-optimize battery & distributed-energy dispatch the instant prices or forecasts move — within the grid control-tick, changing only the few intervals worth changing.
Beyond the three above, the same engine is expanding across real-time operations — telecom & satellite resource allocation, AI/HPC cluster scheduling, and pricing & budget allocation — with molecular candidate selection on the research roadmap. Earlier-stage work is under NDA.
Every figure here traces to a recorded run on real data — with losing cases kept in, not cherry-picked. The peer-reviewable write-up is arXiv:2606.23367; the evaluation artifacts are public on GitHub; the provenance of each number is on the research page.
The answer arrives inside the deadline that matters — fast where scale demands it, feasible and auditable every time. One engine, the same contract across every domain.
Built for the books where scale is the problem — hundreds of thousands of accounts, or universes in the tens of thousands of names, answered inside the window you actually operate in. Per-lane speed figures are being re-measured under a contention guard before republication.
Audit-ready delivery with explicit, documented execution paths. Deterministic, content-hashed, re-derivable — every trade traces to your constraints.
HTTPS API. Slots into OMS/EMS, grid control loops, custodian APIs, and risk models. Deploy in your VPC, on-prem, or air-gapped — no per-seat solver license.
75,257 real assets on the proof lane and a 100,004-asset structured suite. Evidence spans head-to-head, routed scale, and backtest surfaces.
Across grids, trading desks, and personalized books, the world moves on a clock you don't control. Exact solvers find a beautiful answer — long after the moment to act has passed. Simpler methods keep up but leave value, or feasibility, on the table.
PRISM lives in that gap: a feasible, near-optimal, fully auditable answer inside the deadline — the same engine, whether the window is a grid control-tick or an overnight book.
8-week paid pilot on your data — you get a benchmark report on your real problem and reference pricing for production. You set the pass/fail metric before we start; every losing case is shown.
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