Test. Verify. Improve AI.
AI Evaluation & Quality Engineering for Agents and AI Systems
AI can produce the right answer and still do the wrong thing. UpCheckAI evaluates complete AI workflows, from intent and reasoning to tool use, actions, safety, and outcomes, combining automated evaluation with human judgment to find failures and turn them into permanent regression tests.
AI Systems Are Shipping Faster Than They Are Being Tested
Most teams find out an agent fails at a task when a customer hits it, not before.
AI systems ship faster than they're tested
Live on the strength of a demo, not a test suite.
A passing demo isn't a working system
Sounds correct while using the wrong tool or breaking policy.
Failures reach users before they reach you
The first sign of a regression is a user complaint.
See AI Reliability Testing in Action
Watch a run, get evaluated, and become a regression test.
AI Reliability Across English & Swahili
The same system, checked in every language its users speak.
Same task, English
“I want to return my order. Am I eligible for a refund?”
- Intent understood
- Policy understanding
- Tool selection
- Task completed
Agent verified eligibility, then issued the refund correctly.
Multilingual evaluation isn't just checking whether a model can translate. It checks whether the AI can perform the same job reliably in each language it's used in.
Built Around How AI Agents Actually Fail
Pick a scenario to see the checks we run.
One Evaluation Engine, However You Reach the Agent
Nine stages, from defining success to catching regressions.
Define
Turn policies into measurable criteria.
Generate
Build test cases from real and adversarial scenarios.
Simulate
Run the system through real workflows.
Evaluate
Score with checks, judges, and metrics.
Verify
Experts review ambiguous or high-stakes cases.
Diagnose
Cluster failures by root cause.
Improve
Turn failures into fixes.
Regress
Save every failure as a permanent test.
Monitor
Re-run the suite as the system changes.
↻ Loops back to Define
Agent v1
94% reliability
Agent v2
78% reliability
Regression caught automatically
Know Why a Result Passed or Failed
Every verdict points to evidence, labeled by how sure we are.
Observed
Directly seen: a tool call, a response, a page state.
Inferred
A judge's reasoned conclusion from available evidence.
Not Available
Can't be seen. We say so, instead of guessing.
“An empty tool-call list does not automatically mean the agent made no tool call. If the integration cannot see tool calls, UpCheckAI says so.”
AI Quality Can't Be Global If Evaluation Isn't
Works in English but fails in Swahili? Not reliable globally.
Native English & Swahili Evaluators
Judge understanding, not just translation.
Cultural & Contextual Review
Checks local norms and terminology, not just grammar.
Regional Safety Judgment
Catches what a generic safety filter misses.
Deep Domain Familiarity
Knows the real workflows of the markets served.
Evaluating AI systems worldwide, from East Africa
2
Languages Evaluated
5
East African Countries
24/7
Multilingual Coverage
Frequently Asked Questions
Who is UpCheckAI for?
Teams shipping an AI agent or AI-powered app who need evidence before release, not just a demo that worked once.
How is this different from a model benchmark?
Benchmarks score a model in isolation. We evaluate the full system: prompt, retrieval, tools, and workflow.
How do we get started?
Share your system, we build a test suite around it, run evaluation, and hand you an evidence-backed report and regression suite. We connect through whatever access you can give us — API, browser, or your own SDK.
Do we need a finished product to start?
No. We evaluate systems at any stage, from prototype to production.
How is our system data handled?
Access and data are scoped to the engagement under a clear agreement. We retain no more than necessary.
See Your Agent's Reliability Score.
Get an evidence-backed evaluation of how your AI actually performs.
Evidence-backed reports