Resistant AI

AI risk and fraud detection
Last updated:
January 29, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
Resistant AI builds fraud and financial crime detection software for financial services, with products covering document fraud detection and transaction monitoring. The company positions the work around stopping serial fraud, synthetic identities, money laundering, and other manipulation of automated decision systems. Resistant AI was founded in 2019 and is led by founder and CEO Martin Rehák, alongside a broader founding team with academic and security backgrounds. Resistant AI operates as a scale-up with venture backing and a multi-office footprint.
Locations and presence
Resistant AI is headquartered in Prague, with offices in London and New York. Roles are posted across these hubs, with a mix of onsite and hybrid expectations depending on team.
Palpable Score
58.6
/ 100
Resistant AI offers a few real early-career entry points by setting “2 years” experience bars on some roles and pairing that with strong team-culture signals. The score is held back by inconsistent hiring clarity in at least one reported interview experience and limited public proof of junior progression beyond small-sample reviews.
Pillar 1: Early-career access

Score

11.0
/ 20
  • The company lists roles that accept “at least 2 years” experience in customer-facing and engineering tracks, which is reachable for early-career applicants who already have a first job.
  • Resistant AI’s current open roles skew toward specialist profiles (solutions engineering, software engineering, field marketing), with no clear graduate or internship pipeline visible.
  • The company’s job volume looks modest at any one time, so early-career access depends heavily on timing rather than recurring junior intake.
Pillar 2: Hiring fairness and transparency

Score

11.3
/ 20
  • The company’s job ads are unusually explicit about practical basics like onsite location requirements, vacation allowance, sick days, and what the team will work on.
  • Resistant AI has a public interview account describing unclear role definition and budget uncertainty during the process, ending in a no-offer outcome after several weeks.
  • The company’s careers messaging promises “no ghosting” and “clear answers,” but public process detail like stages, take-home rules, and decision timelines is not laid out upfront.
Pillar 3: Learning and support

Score

13.0
/ 20
  • The company repeatedly frames roles as working alongside very experienced specialists, which is a strong setup for apprenticeship-style learning if managers invest the time.
  • Resistant AI has employee feedback praising a supportive People team, friendly colleagues, and transparency when priorities shift.
  • The company also has employee feedback calling out “unstructured” ways of working and limited growth opportunities, which can make early-career learning uneven across teams.
Pillar 4: Pay fairness and stability

Score

12.3
/ 20
  • The company offers stability basics in job ads such as 4–5 weeks of vacation, sick days, and flexible working hours with home office options.
  • Resistant AI does not publish salary ranges in the job ads reviewed here, which caps pay fairness signals for juniors comparing offers.
  • The company has limited public salary data (one role submission) plus a strong compensation rating snapshot, but the sample size is too small to treat as a reliable pay benchmark.
Pillar 5: Early-career outcomes

Score

11.0
/ 20
  • The company has strong overall employee sentiment in a small set of public reviews, including high recommendation rates and positive comments on culture and leadership.
  • Resistant AI’s LinkedIn footprint shows ongoing hiring across Prague, London, and New York, which supports repeat hiring as the company scales.
  • The company has at least one detailed candidate outcome describing a late-stage no-offer tied to unclear role need and budget, and the company does not publish early-career promotion or retention outcomes.
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