The screening throws away the physics that matters.
The industry standard for large-scale contingency screening trades away reactive power and voltage fidelity — exactly the physics that matter most under today’s load growth and IBR penetration.

Sentinel turns the State Estimator case your control room already has into recovery-validated contingency intelligence — so operators and planners finally see the same grid.
The tools that screen the grid for contingencies were built around tradeoffs the system can no longer afford. Three of them show up every shift.
The industry standard for large-scale contingency screening trades away reactive power and voltage fidelity — exactly the physics that matter most under today’s load growth and IBR penetration.
Even full analysis run against a model snapshot is only as good as the model. The live system’s actual dispatch, topology, and load present a different risk profile than any forecast predicts.
Legacy tools require manually maintained *.con definitions that expire the moment topology changes or equipment returns. Topology changes happen continuously. The lists don’t keep up.
Data centers, EV adoption, and industrial electrification are driving load curves the system was not built to serve. New generation — much of it variable and geographically distributed — is connecting faster than planning models can absorb.
Reliability standards require operators to demonstrate thorough contingency analysis. Regulators increasingly expect operators to show their work — not just that contingencies were screened, but that the screening was comprehensive and the methodology sound.
The limitations of DC approximation are not new knowledge. What has changed is that those limitations now produce consequences visible to operators, planners, and regulators. The question is no longer whether better analysis is desirable — it is whether it is achievable at operational scale.
Scale or physical fidelity — never both. Raptrix Core removes the tradeoff that defined contingency analysis for a generation.
We close the physics gap — planning to real time — so operations, outage coordination, and reliability teams work from the same high-fidelity view of the grid.
The physics engine every product runs on — commercial value sits in the solver and real-time orchestration, not in locking your models.
Trust is earned where wrong answers have consequences. Raptrix is built for the deliberate timeline this market requires.
This is a long sales cycle by startup standards. It is the right cycle for this market, and Raptrix is building for it.
In a market where wrong answers have consequences, trust comes from transparency — not proprietary lock-in.
Public converters for PSS/E, CIM, and PSLF turn your existing models into .rpf — unlimited size, MPL 2.0, on GitHub. Keep your stack; add planning-grade physics where it matters.
Works with major EMS vendors via standard file push. Every modern EMS already exports the solved SE case on a timer or button press — no vendor negotiations to get started.
Every .rpf file carries the network state, contingency provenance, and a deterministic fingerprint so teams and auditors can verify how a result was produced.
Studio and open converters stay free of model-size lock-in. The commercial path is the high-performance solver and real-time operational intelligence that run on top.
Sentinel ingests the case your EMS already exports on a default 5-minute cadence (configurable 5–15). Exhaustive N-1 on the live case. Simultaneous N-2 from the defined common-mode list. Sequential N-1-1 on by default. Recovery-validated against LTE / Normal windows. From tens of thousands of “what-ifs” it surfaces the small number of unrecoverable scenarios — each with an auditable certificate.
Every step is automated. Every filter is auditable. Every output is a canonical .rpf your planners can replay.
RAW, PSLF, or native State Estimator exports — no rip-and-replace.
N-1-1 default after intervening recovery. Simultaneous N-2 is the defined common-mode list.
Strict Q-limit enforcement and PV-PQ switching. No FDNR shortcuts.
Q-limits enforced. Greedy reserve dispatch + switched-shunt recovery (on by default). Only unrecoverable cases are surfaced.
Every filtering decision is grounded in defensible physics.
One file carries the operating state forward into planning. Every cycle also writes SAL.
Open converters for PSS/E, CIM, and PSLF feed the same self-describing .rpf interchange — so you keep your stack and still get planning-grade handoff from the live operating state.

AI data centers and other large, electronically coupled loads behave nothing like traditional demand. Sentinel treats them as first-class citizens — so operators and planners get a defensible, physics-based view of system risk without waiting on EMS vendor roadmaps.
Modeled natively at the bus, not assumed away with a generic load.
Rapid ramp and load-reduction schemes carried with the operating point in .rpf.
First-class in N-1, defined N-2, and profile-armed VRT.
IBR-tagged screening. FACTS/PST carried in .rpf; NR device control is not claimed.
VRT / large-load arming from load profiles.
Every operating state Sentinel evaluates ships with the computational-load profile attached — seasonal envelopes, buildout ramps, voltage guardrails, and reduction schemes.
When dynamics data is available, first-swing stability screening runs on the same solved operating point used for contingency analysis. Large-load rejection scenarios are supported today; inverter-centric models are expanding.

Planning-grade studies for candidate locations and POI/POW decisions — defensible diligence delivered on the same full-AC engine that powers Sentinel and Forge.
Candidate-site screening and full-AC diligence aligned to your approval process.
Interconnection and withdrawal studies at planning-grade fidelity with auditable outputs.
Raptrix began in 2013 as Kestrel when founder Matthew Musto, a power-systems engineer with 22 years as Principal Engineer at NYISO, set out to solve contingency analysis the right way — full Newton-Raphson physics with no shortcuts. He spent those years inside the control room until April 3, 2026, when he left to build Raptrix full-time.
This is not a software company that discovered a grid problem. It is a practitioner who understood the problem from the inside — now leading a growing team shipping the only modern platform that pairs a high-performance C++ solver with real-time contingency analysis (Sentinel) and short-term planning (Forge) on one physics engine.
Full-AC Newton-Raphson with strict Q-limit enforcement and intelligent PV-PQ switching — non-negotiable.
Automation that augments operator judgment — never replaces it.
On-prem (RHEL certified), air-gapped, or cloud. No vendor lock-in.

Bring a recent State Estimator export. We will run exhaustive N-1 + defined N-2 with LTE / Normal-window recovery and walk through the results with your team — no slide-deck theater.
A pilot engagement on your system — no workflow change, no day-one commitment to act on outputs. Just the chance to see what you have been unable to see.
Our open-source I/O layer creates natural interoperability. We are not trying to displace your platform — we are trying to make it better.
Engagement, validation, and co-authorship of the conversation about what rigorous contingency analysis should look like.
info@raptrixpower.com · Founder direct: matthew.musto@raptrixpower.com · github.com/RaptrixPowerFlow