Got an idea for a novel software solution but aren’t sure how to build it? You supply the vision, and we’ll provide all of the expertise and support needed to bring it to life.
From initial discovery and system design to development, testing, and deployment, we handle the full software lifecycle. Our engineers focus on building systems that remain maintainable and extensible as your product evolves.
We apply functional programming principles to eliminate entire classes of bugs, improve security, and ensure predictable system behavior. This approach enables us to deliver software that is easier to reason about, test, and scale.
Learn more about Functional Programming Consulting
Our DevOps and infrastructure services focus on automation, reproducibility, and reliability. We design deployment pipelines and infrastructure that reduce operational risk and ensure consistent environments from development to production.
Explore DevOps Consulting
We build user interfaces that prioritize clarity, performance, and usability. Our frontend work aligns tightly with backend architecture to deliver seamless, responsive experiences for your users.
Looking for software that adapts, predicts outcomes, or uncovers insights from your data? We design and integrate machine learning systems that evolve alongside your business needs.
Platonic.Systems is our go-to developer partner when we need to solve complex and complicated use cases. They truly add a tremendous amount of value during use case development and proof of concept iterations that have helped us advance with our computer vision and machine learning opportunities.
We design systems that deliver value years after launch. Objective architecture decisions, transparent development, full IP ownership, and software designed for growth and compliance.
We choose technologies for reliability and sustainability — not trends. Haskell for backends, Nix/NixOS for infrastructure, PureScript and Elm for frontends, Python and Julia for ML.
Whether you need full-cycle development, architectural guidance, or specialized engineering expertise, we deliver custom consulting tailored to your exact requirements.
Complex systems where correctness matters. R&D projects, financial software, blockchain systems, machine learning pipelines, compiler and language tooling, and anything involving formal verification. We like problems that are technically demanding — "we've tried everything" is a good starting point for a conversation.
Initial consultation (free, 30 minutes) to understand your needs. If there's a fit, we propose a discovery or proof-of-concept phase to validate the approach. From there: iterative development with regular check-ins, then handoff with documentation and optional ongoing support.
You get complete source code, documentation, and knowledge transfer. We train your team on the codebase. Optional maintenance retainers are available if you want ongoing support, but our goal is to deliver software you can own and extend independently.
We work iteratively, so requirements can evolve without derailing the project. That said, we'll push back if a change undermines technical soundness. Honest guidance is part of the service & mdash; we'd rather have a difficult conversation than deliver fragile software.
Haskell for backend systems, PureScript and Elm for frontends, Nix for infrastructure, Python and Julia for ML/data work. We use functional programming across the stack. See our Haskell consulting and NixOS consulting pages for specifics.
Functional programming expertise and a correctness-first approach. We're a small, senior team — no junior developers learning on your project. Our clients include Anduril, Mercury, Tweag, and Condé Nast. We specialize in problems that other shops can't or won't take on.
Architecture design, full-stack development, DevOps and infrastructure, machine learning systems, formal verification, and technical training. Scope depends on what you need — sometimes that's a complete system build, sometimes it's architectural guidance for your existing team.
Fewer bugs (type systems catch errors at compile time), easier testing (pure functions are trivially testable), better maintainability (explicit data flow, no hidden state mutations), and more confident refactoring. The tradeoffs are a steeper learning curve and smaller talent pool — but the long-term ROI is significant.
Schedule a free consultation . We'll discuss your project, technical constraints, and goals. No commitment required — sometimes the best outcome is pointing you in a different direction.
Startups that need senior expertise without full-time headcount. Enterprises modernizing legacy systems or adopting new technologies. Anyone with a hard problem and a deadline. If your existing approach isn't working, let's talk.
