Systems built from principle to practice.
Praxiom Systems is a holding company for small, focused software products. Five products in market or in build, across AI tooling, healthcare operations, investing infrastructure, and CI.
Portfolio
3 products live · 2 in build
Marketplace
Greenlight Actions on the GitHub Marketplace
Open source
Open source via Amulya Labs
Structure
Independently held · No outside capital
Philosophy
Software should earn its place.
The name Praxiom combines two ideas we take seriously: praxis, the process of turning ideas into action, and axiom, a foundational principle that guides everything built upon it.
We believe strong software emerges from this combination. Clear principles provide direction. Rigorous execution proves their worth.
Praxis
Theory without practice is idle. We build software that works in the real world, tested against actual use cases and refined through genuine feedback.
Axiom
Every system rests on foundational truths. We identify the core principles that matter and build upward from there, without unnecessary complexity.
Operating principles
01
Reality before ideology
We start from the constraints underneath the problem: incentives, workflow, human behavior, operational limits, and evidence from use.
02
Systems over willpower
Good products reduce dependence on perfect attention. They create defaults, feedback loops, and structure that make better work easier.
03
Trust requires proof
Claims should be backed by shipped software, observable behavior, clear tradeoffs, or public work. Otherwise they stay modest.
Products
What we're building
Different domains, one pattern: high-friction workflows where better defaults and honest automation remove waste without hiding responsibility.
CodeAndSystem.ai
A desktop app for AI-allowed coding and system-design interviews. Screen capture, privacy mode, keyboard-first flow, structured technical answers.
- Audience
- Engineers preparing for senior and staff-level interviews.
- Outcome
- Practice under realistic constraints; produce structured answers, not improvised ones.
- Availability
- Paid · Free trial
getmyorg
A pre-built AI organization for Claude Code: repo scanning, specialist agents, team presets, workflow playbooks, guardrails, and free solo plus paid team tiers.
- Audience
- Engineering teams adopting Claude Code who want guardrails on day one.
- Outcome
- Skip months of agent and policy authoring; ship with a sane default org.
- Availability
- Free for solo · Paid team tiers
Margin for Care
An insurance-first practice operating system for mental-health clinicians, focused on denials, ERA reconciliation, appeals, credentialing, payer follow-up.
- Audience
- Solo and small group mental-health practices billing commercial insurance.
- Outcome
- Recover revenue currently lost to denials and unworked AR.
- Availability
- Design partners wanted
Systematic Investing Platform
Investing infrastructure with point-in-time data discipline, feature stores, model training, backtesting, execution, and observability.
- Audience
- Quantitative investors who need transparent, auditable infrastructure.
- Outcome
- A research-to-execution stack you can defend to an LP or auditor.
- Availability
- Private build · Contact for early access
Greenlight Actions
A GitHub App that gates expensive CI behind manual approval on pull requests. One-click install, one line of YAML.
- Audience
- Teams burning CI minutes on draft PRs and dependabot churn.
- Outcome
- Stop paying for compute on PRs nobody is reviewing yet.
- Availability
- Free on the GitHub Marketplace
Engagement
Working with us
Most products are built in-house and sold direct. For two of them — Margin for Care and the Systematic Investing Platform — we take a small number of design partners during build. Design partners get pricing held flat for the first year, weekly access to the team, and direct influence on the roadmap.
Write to us at contact@praxiomsystems.com
Public Work
Engineering in the open
Amulya Labs, the sister open-source lab, publishes practical FLOSS for AI-assisted development, CI infrastructure, build systems, and server operations.
Production-ready configuration for AI coding agents: reusable agents, shared command policy, and drop-in workflow patterns.
Fast, configurable replacement for actions/cache with local disk, S3-compatible, and Google Cloud Storage backends.
Deployment and lifecycle tooling for self-hosted GitHub Actions runners on Linux servers without a Kubernetes requirement.
Systemd-native Linux server maintenance tools for Docker cleanup, disk maintenance, backup reporting, and WAN failover.
Hands-on Bazel tutorial for polyglot builds, with a Go data pipeline and React economic indicators dashboard.
About
The company
Praxiom Systems LLC
Praxiom Systems is the parent company behind multiple commercial software products. We operate across different domains: AI agent governance, developer tools, healthcare operations, investing systems, CI infrastructure, and productivity-oriented workflow software.
Each product operates with its own identity, but shares a common foundation of engineering rigor and user-focused design.
Founder
Founded by a software engineer focused on systems, infrastructure, product quality, and practical software that earns long-term trust.
The work spans from low-level infrastructure to user-facing products, with a consistent emphasis on clarity, reliability, and genuine usefulness.