Why Xybern
The problem
The problem is real and unsolved.
There is no production-grade mandatory enforcement layer for enterprise AI. Every major AI deployment in a regulated organisation has this gap. You are working on the first system that closes it.
Research
Research goes directly into production.
The xybern-reasoning-7B model we published is the same model running as xybern-reasoning-v1 in the enforcement pipeline. There is no gap between research and product here.
Stakes
Your work runs in the most sensitive AI environments.
Financial services firms, legal teams, regulated enterprises. The stakes are real. The enforcement decisions your code makes protect real money, real client relationships and real regulatory obligations.
Ownership
Small team. Full ownership.
The team is small by design. Every person owns a substantial part of the system. No handoffs, no tickets that disappear into a backlog. You see the thing you built running in production.
Open roles
ML Engineer
Works on xybern-reasoning-v1, the model that makes enforcement decisions inside the pipeline at every Stage 03 evaluation.
Reasoning & AgentsResearch Scientist
Advances the theoretical foundations of deterministic AI enforcement, the research that goes directly into the production verification engine.
LLM ReliabilitySenior Full-Stack Engineer
Builds the enforcement dashboard, the agent identity system, the provenance vault UI and the platform infrastructure that makes the pipeline visible to enterprise teams.
AI WorkspaceProduct Designer
Designs the interfaces through which CTOs, CISOs and compliance teams interact with enforcement decisions, trust scores and audit evidence.
Enterprise UXGTM Strategy & Sales
Brings mandatory AI enforcement into financial services and legal firms in the UK and MENA, the markets where the enforcement argument is most urgent.
Legal & FinanceSolutions Architect
Works directly with enterprise customers to deploy the enforcement pipeline into their AI stack, from first API call to full production deployment.
Enterprise AIDon't see a perfect fit?
We are always looking for exceptional people building towards the same future. If that is you, we want to hear from you.
What you are joining
Xybern is a mandatory execution pathway, not a monitoring tool, not a guardrail, not a governance dashboard. It is the system that sits directly inside the execution path. Every AI action your organisation proposes must pass through 5 stages before it can run: Intercept, Identify, Evaluate, Decide, Record. None of these stages are optional. None can be bypassed. The enforcement decision is made in under 50ms. The record is permanent.
01
Intercept
Action captured before production
02
Identify
Agent identity verified
03
Evaluate
Context and policies assessed
04
Decide
Authorise or block
05
Record
Immutable provenance entry
Every AI action must complete all 5 stages. There is no path around the pipeline.
