About Qalana
What exactly is Qalana?+
Qalana is a hiring intelligence platform built on reasoning and trust. It scores candidates across six signals — Fit, Confidence, Transferability, Trust, Proof vs Inference, and Traceability — explains every score in plain language, and keeps a human in every decision loop. Qalana accelerates the hiring cycle by removing ambiguity, not by removing judgment.
Is this another ATS or AI recruitment tool?+
Qalana sits alongside your existing ATS and adds a structured intelligence layer on top — scoring, explaining, and tracing every signal. It does not replace your ATS. It does not replace your team. It gives both the depth they need to act with confidence.
What makes Qalana different from other hiring AI?+
Most tools give you a score. Qalana gives you a score, the reasoning behind it, the confidence level in that reasoning, and a permanent audit trail of every decision. The Override Protocol means every score can be challenged, escalated, and logged. Compliance is structural — not a configuration option. No black boxes.
Our organisation does not currently use an ATS. Can we still use Qalana?+
Absolutely — and you are in a better position than you may think. Organisations without an ATS often start with Qalana as their primary intelligence and workflow layer, building good practices from the ground up rather than retrofitting them onto an existing system. We will work with your current process — spreadsheets, email pipelines, or manual workflows — and design an activation path that works for where you are today, not where we assume you to be.
Can Qalana integrate with sourcing tools like GEM, LinkedIn Recruiter, or SeekOut?+
Yes. Qalana is built to sit alongside the sourcing tools your team already uses. GEM, LinkedIn Recruiter, SeekOut, and similar platforms feed candidate profiles into the pipeline — Qalana applies its intelligence layer on top. Native connector depth varies by tool; our team will confirm your specific integration path during onboarding.
What is RuneGrid?+
RuneGrid is our verification infrastructure layer. Candidates verify their employment history, certifications, and identity once — and carry that verified credential profile to every future organisation. Every person who moves through Qalana builds their RuneGrid trust signal automatically, without additional steps.
Intelligence and Compliance
What is Proof vs Inference scoring?+
Every signal entering a candidate's score is labeled at source. Stated — the candidate declared it on their profile. Inferred — Qalana derived it from context and pattern. Recruiters see exactly what they are trusting before they act on it. This labeling is architectural — it cannot be turned off or bypassed.
Can a recruiter override Qalana's scores?+
Yes — through the Override Protocol. The recruiter documents their reasoning, which triggers escalation to their reporting manager for review and decision. Every step — score, challenge, decision — is permanently logged. A challenge without documentation is not accepted. The mechanism is designed so that human judgment is exercised rigorously, not casually.
Does Qalana ever reject candidates automatically?+
Never. Qalana scores, surfaces signals, and flags anomalies. All decisions — shortlist, hold, reject — require explicit human action. No candidate is removed from consideration without a person making that call. This is structural, not configurable.
Is Qalana compliant with hiring and data regulations across regions?+
Qalana is designed to support your compliance obligations — privacy, bias mitigation, and human oversight are built into the architecture rather than configured per deployment. It is designed to align with the EU AI Act (Articles 10 data governance, 13 transparency, and 14 human oversight), India's Digital Personal Data Protection Act (DPDP) 2023, Canada's PIPEDA, US frameworks including EEOC guidance, NYC Local Law 144 on automated employment decision tools, and the Illinois AI Video Interview Act, as well as Singapore's PDPA and the UAE PDPL. Because the foundation is architectural, adapting to a new or changed regulation is typically a configuration and policy step, not a rebuild. Final compliance is confirmed per deployment with your legal team — Qalana provides the controls and the evidence trail; your organisation remains the data controller and decision-maker.
Is Qalana's AI trained on our candidate data?+
No. Your candidate data is never used to train any AI model. Qalana uses pre-trained foundation models with all candidate data processed in isolated, encrypted inference environments. Data residency is configurable by region — India, Canada, EU, US, Singapore, and UAE are all supported.
Getting Started
How quickly can we go live?+
Activation timelines are calibrated to your environment. For organisations with standard ATS configurations, we are typically live within 5 business days. For more complex environments — custom ATS builds, multi-region deployments, or legacy integration requirements — the activation window extends to 10 business days. In either case, scored intelligence on your first active roles is visible within 24 hours of going live.
What does the two-week pilot include?+
The pilot runs across 5–10 of your active roles over two weeks. It includes full six-signal scoring (Fit, Confidence, Transferability, Trust, Proof vs Inference, and Traceability), JD bias scan, AI content detection, resume consistency checking, ATS Profile Resurrection across your existing pipeline, and a complete intelligence report at the close. You keep the shortlists and the intelligence — regardless of what you decide at the end of the two weeks.