Our AI principles · the whole Sprad platform

AI that gives people power back — not just employers speed.

AI is rewriting how people are hired, developed and managed. That rewrite can go two ways: machines that process people, or machines that work for both sides of the table. We’ve committed the whole platform — hiring, talent management, every agent we ship — to the second path.

People own their data.

Candidates and employees see, confirm and control what’s shared — across every Sprad product.

AI advises. Humans decide.

No Sprad agent rejects, hires, promotes or scores a person into a decision without a human owning it.

Every output is traceable.

If our AI rates something, you can open the evidence behind it — down to the transcript quote.

The fork in the road

AI done wrong. AI done right.

The technology is the same. The architecture decides whether it erodes trust or builds it. These are the patterns we refuse — and the ones we hold ourselves to.

AI done wrong

People as data points.

Black-box verdicts. A score appears, a person is out — nobody can explain why.
Surveillance as a feature. Camera scoring, gaze tracking, emotion analysis — trust replaced by watching.
Bias laundering. Human prejudice baked into training data, then sold as “objective AI” with a bias-free badge.
Data extraction. Profiles scraped and enriched behind people’s backs, locked into vendor silos.
Full automation of judgment. Machines making people-decisions no human owns or answers for.
AI done right — our commitments

People as owners.

Traceable by construction. Every AI rating links to the evidence behind it — readable, checkable, contestable.
Trust through conversation, not cameras. Audio-first. No video scoring, no gaze tracking, no emotion analysis — anywhere in the platform.
Bias-blind input. Identity signals are stripped before scoring — fairness as a mechanism you can inspect, not a marketing claim.
Consent before anything. No enrichment, no sharing, no storage without the person’s explicit, revocable yes.
Humans own every decision. Our AI prepares, structures and recommends. Hiring, rejecting, promoting — that signature stays human.
Five principles

Not values on a poster. Mechanisms in the product.

Every principle below is enforced by architecture, not goodwill — here’s what each one means, and how it’s built in.

01
People own their data

Candidates and employees hold their own profile — they see what’s in it, decide who gets access, and take it with them.

How it’s built inProfiles are candidate-owned by design: every shared data point is individually approved, corrections overwrite stale imports, and access can be revoked at any time.
02
Consent before anything

Nothing is collected, enriched or passed on without a clear, informed, revocable yes — consent is the product’s front door, not its fine print.

How it’s built inConsent lives inside an active relationship: people use their profile for their own career, so permission stays current instead of decaying into reminder-mail limbo.
03
Bias-blind by architecture

We don’t promise our models are free of bias — we remove the fuel. What the scoring never sees, it can never discriminate on.

How it’s built inGender, age, origin, appearance and names are stripped from the input before any evaluation runs — across interviews, screening and assessments. Audio-first, no camera analysis.
04
Every output traceable

An AI judgment you can’t inspect is a rumor with confidence. Every rating in Sprad can be opened, read and challenged.

How it’s built inScores are tied to transcript quotes and source evidence — reviewable by recruiters, defensible in front of DPOs and works councils, contestable by the person affected.
05
Humans decide

AI can make people-processes faster, fairer and more humane — but accountability can’t be automated. Someone must own every decision.

How it’s built inSprad agents prepare, structure and recommend — shortlists, summaries, drafts. Even at volume, nothing is auto-sent: recruiters confirm decisions (individually or as a reviewed batch) and can open any candidate’s full evidence before confirming. Every people-decision carries a human name.
Standards & red lines

What we hold. What we refuse.

Principles only count when they cost something. This is the concrete floor under ours — and the features we will not ship.

The floor we stand on
GDPR by default — data minimization, purpose binding and deletion rights built into every flow, not bolted on.
EU-hosted, ISO-certified server infrastructure — your data stays in Europe, on infrastructure that’s independently certified. (We say precisely what the certificate covers: the infrastructure.)
EU AI Act readiness — transparency notices, human oversight and documentation designed against the Act’s requirements for AI in employment.
Works-council-ready documentation — traceable scoring and consent trails your works council (Betriebsrat) and DPO can genuinely review, not marketing PDFs.
Enterprise & public-sector proven — running in production at organizations like Zalando, Dior and public-sector bodies like Mainzer Stadtwerke, where compliance review is the hardest in the market.
Features we refuse to build
No camera or emotion analysis. No video scoring, gaze tracking or face-based inference — the category’s public bias scandals speak for themselves.
No surveillance proctoring. Trust is built in the conversation, not by locking browsers and watching people’s eyes.
No hidden enrichment. We don’t buy, scrape or merge data about a person behind their back.
No fully automated rejections. Nobody is filtered out of a livelihood by a machine no one answers for.
No training on your people’s data without consent. Your data is yours; candidates’ data is theirs.
Honesty over badges: we’d rather tell you exactly what a certificate covers and what a model can’t do than decorate a footer. If a claim on this page ever stops being true, the feature goes — not the principle.

See the principles running in the product.

The fastest way to audit us: watch the AI work — traceable scores, consent screens, human approval gates and all.