Performance you can measure, trust, and improve.
Most organisations deploy AI before they can meaningfully understand how it is performing. The Keido Evaluation Engine (KEE) changes that by giving you a clear, accountable view of what your AI is doing and not through technical dashboards, but through practical operational signals.
KEE doesn’t just measure performance.
It reveals what to fix, where to optimise, and how to scale safely.
Why optimisation matters
Across industries: mining, logistics, financial services, healthcare, government... optimisation is the difference between systems that merely function and systems that perform.
Optimisation ensures that complex operations run efficiently and predictably, even under constraints. It improves scheduling, resource allocation, responsiveness, and reliability. And when applied to AI, it transforms models from static tools into adaptive, high-performing capabilities.
The same principles that keep large-scale operations aligned, efficient, and resilient are the foundation of KEE.
KEE brings optimisation into everyday AI performance, so your systems stay sharp, consistent, and aligned as data and demand evolve.
Track the signals that matter
To run AI responsibly, you need clarity, not complexity.
KEE evaluates performance across four operational dimensions that map directly to trust, adoption, and workflow impact:
- Speed - How quickly the system responds, shaping user adoption and workflow efficiency
- Accuracy - Whether results are correct and relevant, critical for high-stakes decisions
- Coverage - How complete the information is and ensuring nothing important is missed
- Reliability - A single, balanced indicator that reflects performance across different conditions
These aren’t abstract metrics. They are confidence signals designed so your teams can quickly see what’s working, what’s shifting, and where intervention is needed.
Continuous, intelligent improvement
KEE is not a static dashboard.
It is an optimisation engine that adapts as your environment changes.
It tracks performance over time, surfaces emerging changes, and points to areas where optimisation will have the most impact. This enables your AI systems to become:
- more predictable
- more efficient
- more scalable
- more resilient
Your teams spend less time firefighting and more time delivering value.
Designed for clarity, governance, and improvement
KEE equips your organisation with tools that make performance understandable and actionable:
- Real-time monitoring
- Configurable alerts and anomaly detection
- Multi-model and multi-dataset evaluation at scale
- Trend and pattern analysis for targeted optimisation
This creates a single, coherent layer of accountability, giving leaders confidence that AI is performing as intended, and giving teams the insights they need to improve it.
Built to match your scale and complexity
As organisations grow, variability grows with them, more data, more models, more edge cases, more risk.
KEE keeps your AI aligned with:
- operational expectations
- governance and compliance requirements
- real-world constraints
- organisational priorities
Your data stays clean.
Your systems stay efficient.
Your operations stay predictable.
Your decisions stay informed.
KEE keeps your AI within guardrails, giving your organisation the freedom to move fast.
