PineXQ
Provable computing for the real world
Every computation tracked. Every result reproducible. Every audit trail built in. PineXQ is the platform for teams who need to prove — not just claim — that their data processing is reliable.
The Problem
Can you prove how your results were produced?
Data pipelines break silently. Models get retrained without documentation. Someone changes a parameter and forgets to tell the team. When the regulator asks "show me exactly how this number was computed" — most organizations scramble.
PineXQ makes this question trivial to answer. Every computation is a tracked, versioned, reproducible record — not a script someone ran on a laptop.
Three Pillars
Provable computing, not just reproducible
Reproducibility is table stakes. PineXQ goes further: every result carries its own proof of how it was produced.
Complete data lineage for every computation. Every input, output, parameter, and code version is tracked — you always know exactly how a result was produced.
An immutable ledger records all actions. Re-execute any computation with identical results. No ambiguity, no "it worked on my machine."
Share results with built-in proof. Auditors, regulators, and collaborators can verify computations independently — reducing compliance overhead to minutes, not weeks.
How It Works
From function to auditable pipeline
Write a processing step in any language, deploy it as a container, chain it into workflows. PineXQ handles versioning, execution, data management, and lineage tracking automatically.
Containerized functions with declared parameters, inputs, and outputs. Write in any language, deploy as Docker containers. Each step is a versioned, testable unit of computation.
Chain processing steps into pipelines via a no-code visual editor. Connect data sources, set variables, build reusable workflows — from simple ETL to complex quantum-classical hybrid computations.
Every file is managed with full metadata — ownership, creation date, MIME type, and the job that produced it. Files are protected from accidental deletion by tracking usage across all jobs.
Every computation is a tracked job with a defined lifecycle — from creation through execution to completion. Full state management, error handling, and sub-job support for complex pipelines.
Your Way In
Portal, SDK, or API — your choice
Visual interface for managing jobs, exploring workflows, uploading data, and monitoring execution — no code required.
Full programmatic access via PyPI. Manage jobs, workflows, tags, and data at scale. Ideal for batch operations and CI/CD integration.
Command-line tools and a public REST API for automation and integration with any language or platform. Configure via pinexq.toml.
Deployment
Your infrastructure, your rules
PineXQ is cloud-agnostic and privacy-first. Computation and storage are deliberately separated — deploy on-premise, in your cloud, or use our managed SaaS. No vendor lock-in, no data leaving your perimeter unless you decide it should.
Available as SaaS subscription or perpetual license. Starts small, scales without reconfiguration.
Quantum-Ready
Classical today, quantum-enhanced tomorrow
PineXQ can orchestrate quantum-classical hybrid workflows — chain classical processing steps with quantum hardware backends from partners like IQM and IBM. The same lineage tracking, the same reproducibility guarantees, across both paradigms.
This is not a future promise. The architecture is live. Quantum backends are available as an additional offering for teams ready to integrate quantum computation into their workflows.
Ready to make your computations provable?
Talk to us about PineXQ — SaaS, on-premise, or perpetual license.