UnlikelyAI

Neurosymbolic AI decision engine
Last updated:
January 28, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
UnlikelyAI builds AI for decisions that are too high-stakes to get wrong, with a product pitch focused on accuracy, explainability, and trust. The company talks publicly about a “neuro-symbolic” approach that blends language models with more structured reasoning methods. UnlikelyAI markets solutions into regulated workflows across accounting, financial services, and insurance. UnlikelyAI also says the company raised a $20m seed round and plans to grow the team as the product scales.
Locations and presence
UnlikelyAI is London-based, with an office near Holborn and a hybrid model that includes one day a week in the office. The company says UnlikelyAI hires internationally and supports UK Skilled Worker visa sponsorship and relocation.
Palpable Score
62.0
/ 100
UnlikelyAI looks candidate-friendly for early-career applicants on process and support, with a clearly explained hiring flow, feedback intent, and a real benefits package. The main constraint is volume and level: the publicly visible roles skew senior, so graduates have fewer “first job” entry points than at startups that repeatedly hire 0–2 year roles.
Pillar 1: Early-career access

Score

7.0
/ 20
  • The company’s publicly listed openings include roles like Principal Product Manager, which are not accessible to most new grads.
  • UnlikelyAI advertises a Customer Success and Sales Executive role that appears under “entry level” on LinkedIn, giving at least one non-technical entry route.
  • The company does not show recurring “Junior”, “Associate”, internship, or 0–2 years engineering/applied science roles in the current visible job mix.
Pillar 2: Hiring fairness and transparency

Score

17.0
/ 20
  • The company publishes a four-stage process (recruiter screen, take-home challenge, technical full loop, final chat) so candidates know what they’re signing up for.
  • UnlikelyAI says successful applicants receive a preparation email outlining each stage, which reduces guesswork for early-career candidates.
  • The company states an aim to provide interview feedback to all candidates, but does not publish time expectations for the take-home task or salary ranges in the public materials.
Pillar 3: Learning and support

Score

15.0
/ 20
  • The company states UnlikelyAI runs regular knowledge-sharing sessions and supports continuous learning as part of written culture.
  • UnlikelyAI lists a dedicated L&D budget and also describes reading groups and encouragement to attend industry events.
  • The company includes a founder final-stage chat and highlights close interaction with senior technical leaders, but does not publish a structured onboarding plan or early-career progression framework.
Pillar 4: Pay fairness and stability

Score

13.0
/ 20
  • The company offers 25 days annual leave plus bank holidays and the option to purchase additional days, which is a strong stability signal for a startup.
  • UnlikelyAI lists an EMI share option scheme, private medical insurance, pension, and enhanced parental or maternity leave.
  • The company does not publish salary bands or leveling guidance, so pay fairness is harder to judge upfront for early-career applicants.
Pillar 5: Early-career outcomes

Score

10.0
/ 20
  • The company publishes employee testimonials that include multi-year tenure (for example, a software engineer describing over two and a half years at UnlikelyAI).
  • UnlikelyAI’s team spotlights describe people joining and quickly making visible impact (for example, a front-end-focused engineer highlighted as joining three months prior and shipping initiatives).
  • The company has limited public, measurable early-career outcome data like promotion timelines, intern-to-full-time conversion, or repeat junior hiring over time, which caps confidence in progression outcomes.
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