AI-powered psychometric testing platform for unbiased candidate screening
Alva Labs builds a psychometric assessment platform that replaces manual CV screening with objective, science-backed evaluation. Their tech stack—BigQuery, dbt, dlt, Metabase, Lightdash on GCP—reveals a data-analytics-first architecture, which makes sense: the product is fundamentally a data science engine that converts candidate signals into hiring predictions. Current hiring is concentrated in data (2 roles) and sales (2 roles), suggesting they're scaling both the analytics backend and go-to-market motion simultaneously.
Alva Labs operates a SaaS platform for talent assessment, helping recruiters move beyond CVs to structured, bias-reduced candidate evaluation. The product combines psychometric science with machine learning to surface objective predictors of job success at scale. They serve mid-market and enterprise recruitment teams across Sweden and beyond. The company is 51–200 people, founded in 2017, and privately held. Core pain points they address include fragmented hiring tooling, inefficient screening processes, and high rates of misalignment in hiring decisions and post-hire retention.
BigQuery, dbt, dlt, Metabase, Lightdash, GCP, Cloud Run, Docker, Terraform, SQL, and Python—a modern data stack centered on Google Cloud.
Projects include hiring funnel dashboards, data pipeline development, experiment design, AI tools adoption, customer success strategy, and sales enablement toolkits.
Other companies in the same industry, closest in size