Aisel is building for one of psychiatry’s least visible capacity problems: clinicians can spend valuable time reconstructing patient histories, reviewing referrals and completing documentation instead of seeing more patients. The company has built a psychiatry-specific AI platform designed to carry that administrative workload across the full consultation journey, from intake and preparation to clinical notes and follow-up.
The company has raised €1.7 million in pre-seed funding led by Caesar Ventures, with participation from Nordic Web Ventures, LifeX and AngelInvest, alongside existing investors Rockstart and EIFO. The new capital will support Aisel’s entry into the UK and expand its clinical and engineering teams as it works with psychiatrists across Northern Europe.
Aisel is led by co-founder and CEO Augusta Klingsten Peytz and co-founder and Chief Product Officer Christian Houen. Augusto Klingsten Peytz’s route into mental-health technology began after experiencing healthcare pressure personally and later working in mental-health investing. The company has since built its product alongside practicing psychiatrists, with the stated goal of reducing waiting times by giving scarce clinical specialists more time for judgment and patient care.
Its technology goes further than an AI scribe. Aisel can prepare clinicians before appointments by pulling together years of referrals, notes and intake data, then structure information during the consultation and draft records for review afterward. It also supports adaptive intake, source-linked document generation, billing codes and EHR synchronization, while keeping clinician review at decision points.
That distinction matters in psychiatry, where the problem is rarely just writing faster. Clinicians need context spread across long records, repeated visits and complex documentation. Aisel is betting that the more valuable AI system is the one that helps preserve that context throughout the patient journey.
The next test is whether removing enough administrative friction can translate into something healthcare systems urgently need: more psychiatric capacity without asking clinicians to work longer hours.
