Security from the start.
Scoped access, protected data, and controls shaped around your system’s risks.
Our security approachYour engineering partner
AI moves fast.
Confidence is built.
We build dependable AI agents and applications, and evaluate the systems your users rely on.
What we do
Three ways forward.
Build something new, strengthen what you have, or evaluate your AI.
Autonomy. With accountability.
AI agents connected to your tools, grounded in your data, and built with clear permissions and human oversight.
Build a production agentBuilt into the engagement
- Scoped tools and permissions
- Human approval for consequential actions
- Tracing, recovery, and cost controls
What you leave with
A working agent, an evaluation baseline, and an operational handover.
The Geria standard
Care in every layer.
Designed for people.
Clear journeys and accessible interfaces that make complex work feel straightforward.
Application developmentEvidence before release.
Representative tests, visible failures, and clear criteria for what ships.
AI evaluationsEvals as a service
Understand your AI.
Before you release it.
Test the tasks that matter, investigate failures, and compare changes against a repeatable baseline.
Explore AI evaluationsIllustrative evaluation
A clear view of readiness.
Answer groundednessMeets criteria
Tool permissionsMeets criteria
Adversarial inputsNeeds review
How we work
A clear path to launch.
An agreed scope, working increments, and a considered handover. You can follow the decisions and shape the work as it develops.
Our approachBefore we begin.
A few questions you might have.
I built my app with AI. Can you help get it production-ready?
Yes. We can start with your existing codebase, review the architecture and user experience, then identify security, reliability, and maintainability gaps. You get a clear scope before we begin the work of addressing them.
Can we work with you on evaluations alone?
Absolutely. Evals as a service is a standalone engagement. We can evaluate an existing agent or AI application, build a test baseline, and help your team understand and prioritise the findings.
What does “production-ready” mean in practice?
It means meeting release criteria agreed for your specific system: security controls, representative testing, a considered user experience, observability, recovery planning, and clear operational ownership. The criteria depend on the use case and risk; no system is risk-free.
Let’s build with confidence.
Tell us about your idea or the system you want to improve.