Answerable by Design: The AI Decision Engine Behind CANDID8.AI

AI-native recruitment: a decision engine you can see, question, and stop.

PORTFOLIO PROJECT_

CANDID8.AI helps decide who gets a shot at a job, so we built its decision engine to be answerable: every call it makes can be seen, explained, and overridden.

CLIENT_

CANDID8.AI

An AI-native recruitment platform matching candidates to roles on skills, experience and capability. Founder: Faisal Saleem.

CATEGORY_

Artificial Intelligence

THE TEQUE CHALLENGE


Hiring AI sits close to someone's livelihood, and the EU AI Act treats it as high-risk. "It works in the demo" was never going to be enough. CANDID8.AI needed a decision engine it could stand behind when a customer, a candidate, or a regulator asks why someone was ranked where they were. That meant treating observability, explainability and control as first-class parts of the build, not things bolted on after the model worked.

WHAT WE DID


We built the engine to a simple test: before you trust an AI decision, you should be able to see it, prove it, and stop it. See it: every model call is traced end to end, so you can watch the real path a decision took rather than a reconstruction. Prove it: any match can be replayed from its actual inputs, a dedicated explanation step puts the strengths and gaps behind each ranking into plain language, and a nightly build-blocking evaluation catches quality drift before it reaches a candidate. Stop it: the recruiter is always the decision-maker, the AI ranks and explains but never hires or rejects on its own, and per-pipeline kill switches can take any part of it offline mid-flight. The data itself is de-identified before it reaches a model, stored securely, and never sold or shared. The result is a system that is bounded and inspectable by design, not a black box.

THE OUTCOME_

A production AI decision engine CANDID8.AI can operate with confidence: every decision watchable, a nightly gate that catches drift before it reaches a candidate, and a recruiter who stays firmly in control.

Read the full technical teardown →

TESTIMONIAL_

“”
When you're building AI that helps decide who gets a shot at a job, the thing that keeps you up at night is being wrong about someone. Get it wrong and it isn't a bug, it's a real person who didn't get a fair look. Teque understood that from the first conversation. They built us something I can see inside, question, and stop if I need to. That is the difference between dreading this technology and being proud of what we've built.- Faisal Saleem, Founder, CANDID8.AI
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