Personalized scientific computing
An AI Research Assistant that helps you understand the evidence, shape the science, and build a simulation environment of your own.
For academic research & corporate R&D
01 / Your AI Research Assistant
Use natural language as the liaison between your scientific intent and the code. PF brings the conversation into your simulation workflow—with evidence you can inspect and changes you control.
Recorded r34 SaaS walkthrough · Narrated · English captions
Actual r34 interface and retained equation-override test evidence, with scripted AI responses and real numerical execution. Storage setup is shown.
“Trace the receiver-mode assumptions behind this result. Help me test a different model in my own simulation stack.”
An illustrative research prompt
Explore the assistant guideAsk about a completed run. Examine its inputs, numerical arrays, plots, logs and permitted scientific source.
Develop a private Python layer with an explanation and a code diff you can review.
Execute baseline and candidate stacks, then inspect numerical comparisons and reference checks.
Explicitly activate a passing layer and use your ordered stack in new simulations.
02 / Your proprietary subsystem
Go beyond a fixed configuration. Compose modular enhancements that override permitted scientific Python implementations for your research, while the shared installation remains intact.
Illustrative stack organization · Select a layer to explore
Propose and test a different scientific implementation, such as a receiver-mode assumption. Private source overlays can change permitted equations and behavior as well as numerical settings.
03 / Research under your control
Build a research environment around your institution’s requirements. Private layer ownership, BYOK and optional BYOS give you distinct controls over access, credentials and retained evidence.
Connect your own credentials for OpenAI, compatible endpoints, DeepSeek, Google Gemini or Anthropic / Claude. Keep provider billing on your own account.
Connect an S3-compatible destination or an outbound NAS / folder connector. Retain large inputs, results and evidence in the location your research requires.
PF retains authorization, conversations, layer records and trusted hashes. Selected evidence goes to your configured AI provider. Understand the data boundaries
04 / Inside the simulation
Gauge-wave fields, convergence and a numerical photon link.
Published orbital inputs, propagated trajectories and a matched model comparison.
Compare exact quantum-state predictions with simulated measurement estimates.
Generated with r34 numerical solvers. Every gallery study includes its configuration or reproduction bundle, method and interpretation.
A connected research workbench
Connect specialist models to a research question. Keep each study’s inputs, assumptions and numerical evidence visible as you develop your own private workflow.
Propagate published orbital elements at current UTC times and connect predicted trajectories to photon timing, visibility and quantum-link models.
Explore satellite researchCompare local quantum simulations, state reconstruction and compatible companion studies through the implemented scientific integration routes.
Explore the integrationsSatellite tracking uses periodically refreshed orbit predictions. Gallery examples are recorded numerical studies, with their configurations and interpretation available.
05 / An inspectable scientific foundation
Connect curated scientific references, explicit numerical checks and optional scientific integrations. Follow the assumptions and methods behind a result as you develop your own approach.
Explore the scientific foundationPlus 454 successful subtests. Scripted AI responses, controlled storage endpoints and real local numerical execution.
Read the validation scope