Production-grade AI and secure delivery, engineered.
Kiberon Labs takes teams from prototype to production. We architect AI systems, automate the work people shouldn't be doing, and embed security into every pipeline we touch.
Two disciplines, one standard of rigor.
Whether the problem is intelligence or infrastructure, we bring the same discipline: secure, measurable, and built to last in production.
Artificial Intelligence
From architecture to enablement , we design, migrate, and harden AI systems that hold up in production.
- AI Solution Architecture
- Process Migration
- Optimization & Security Hardening
- Enterprise Scale Migrations
- +3 more services
DevSecOps
Engineering, security, and operations as one discipline , pipelines, infrastructure, and forward-deployed support.
- Solution Engineering
- CI/CD Optimization & Support
- Auditing Support
- Cloud Migration & On-Prem Support
- +2 more services
Ruthless about what matters. Indifferent to what doesn't.
Architecture first
We design the whole system before writing production code , models, data, security, and the evaluation that proves it works.
Security is not a phase
Threat modeling, hardening, and policy gates are built into every engagement from day one, not bolted on at the end.
Measured outcomes
Cost, latency, reliability, and risk , we instrument what matters so improvements are provable, not anecdotal.
We leave you stronger
Documentation, enablement, and knowledge transfer mean your team owns the system long after we're gone.
Good systems need people who care how they behave in production.
If that sounds like your kind of work, choose a role and apply on LinkedIn.
Explore the openingsProducts built in the open.
Part of Kiberon Labs' commitment to open source: the tools we build for our own work, given back to the community.
Agentic Engineering E-Book
Design notes for an open-source software dark factory.
An in-progress e-book documenting how Kiberon Labs is designing an open-source software dark factory for agentic engineering. It is published openly as the work evolves, for teams that want to study the operating model, architecture, and decisions behind this system.
- E-book
- Agentic engineering
- Dark factory
Graph Grammar
Declarative graph transformation and rewriting.
Graph Grammar is a set of tools for rewriting graphs with declarative grammar rules. It finds and acts on structure through subgraph pattern matching, and chains rules together with a rudimentary goal-planning system to move a graph toward a target state. It's general-purpose. Converting AI workflows is one thing it's good at, but the same rules apply to anything you can model as a graph.
- Graph rewriting
- Pattern matching
- Goal planning
Behave Graph
Visual scripting for TypeScript automations.
Behave Graph brings node-based visual scripting to TypeScript. Model automations as behavior graphs and run them anywhere with a dependency-free core engine, design and debug them in a React-based visual editor, or author them right inside your codebase with the VS Code extension. Embeddable into any system, it turns event-driven logic into graphs your whole team can read, edit, and reason about.
- Visual scripting
- Behavior graphs
- Embeddable engine
Notes from the lab.
Have a system to build, secure, or scale?
Tell us what you're working on. We'll tell you honestly whether and how we can help.