Orbem

AI-powered MRI imaging
Last updated:
January 27, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Food & Ag
About the company
Orbem builds AI-powered, industrialised MRI systems that pull “inside” signals from biological materials, turning scans into actionable data for food and (increasingly) health use cases. The company’s flagship deployments include poultry and food-quality applications where non-invasive inspection can cut waste and improve transparency. Orbem was founded in 2019 and describes a team of more than 170 people. In January 2026, Orbem announced a €55.5m Series B to scale globally.
Locations and presence
Orbem lists offices in Munich and Houston. Roles are commonly advertised as hybrid, with relocation support offered for moves into the main hubs.
Palpable Score
71.4
/ 100
Orbem is unusually strong on pay and benefits transparency for a deep-tech scale-up, and the hiring process is clearly explained in plain language. The score is held back by early-career access being present but not dominant across the open roles, plus mixed third-party interview sentiment and limited verifiable promotion pathways.
Pillar 1: Early-career access

Score

12.1
/ 20
  • The company keeps a real early-career door open via Working Student and intern pathways, including explicit “Working Student/Intern” routing in the open-application flow.
  • Orbem’s public hiring mix still leans heavily toward experienced specialists (for example senior engineering and team-lead roles), which narrows true 0–3 year access in core technical tracks.
  • The company has some junior-labelled operations hiring in the ecosystem (for example junior supply chain style roles appear in external listings), but these are not consistently visible as a recurring junior cohort on the main careers surface.
Pillar 2: Hiring fairness and transparency

Score

13.8
/ 20
  • The company publishes a step-by-step process: an introductory call, a role-specific challenge, and an interview day that includes culture and team conversations.
  • Orbem’s process includes a “challenge” stage, and third-party interview logs show assessments and tests appear regularly, which can increase candidate burden depending on role.
  • The company shares that compensation is discussed during the introductory call, but not every role page makes the full timeline and evaluation criteria equally easy to predict from the outside.
Pillar 3: Learning and support

Score

15.3
/ 20
  • The company offers a defined annual Learning and Development budget (with country-specific amounts), which is a practical support lever for early-career growth.
  • Orbem explicitly frames cross-team transitions as a development option, which can help juniors move toward better-fit tracks without needing to leave the company.
  • The company describes autonomy and support culturally, but role pages do not consistently spell out onboarding ramps, mentoring cadence, or level-based progression milestones.
Pillar 4: Pay fairness and stability

Score

17.8
/ 20
  • The company posts fixed salary ranges and stock option ranges on multiple roles (for example, a senior mechatronics integration role includes a salary band and a separate stock-options band).
  • Orbem backs pay with concrete benefits that reduce early-career fragility, including relocation budgets, public transport support in Germany, and paid leave policies by region.
  • The company’s transparency is strongest in Germany-based listings, and benefits vary by location, so comparability across regions is not fully uniform.
Pillar 5: Early-career outcomes

Score

12.4
/ 20
  • The company has a strong employee-review snapshot on major platforms with high overall ratings and “would recommend” levels, suggesting healthy retention sentiment in the current sample.
  • Orbem also has at least one review from a working-student profile that flags promotion difficulty, which is a useful caution for early-career candidates who want predictable leveling.
  • The company shows repeat signals of early-career participation via LinkedIn role categories like “Intern” and “Graduate,” but public sources still don’t provide clean, trackable junior-to-mid promotion timelines or 12–24 month retention metrics.
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