H Company

Action-focused AI models
Last updated:
January 24, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
H Company builds “agentic AI” systems aimed at automating multi-step work inside enterprise workflows, alongside in-house research on computer-use agents and model families. Public company profiles describe H Company as Paris-based, with additional presence in London and New York. H Company’s own site positions the company around an integrated stack of platform infrastructure, agents, and models. Public hiring pages show a team scaling quickly, with most roles concentrated in engineering and research.
Locations and presence
H Company is headquartered in Paris, with hiring signals that include London and New York City. Public job listings also show a heavy in-office expectation for many roles, with some roles explicitly set as Paris-only.
Palpable Score
51.0
/ 100
H Company has a real entry point through final-year “Graduation Internship” roles, but most open hiring is aimed at experienced engineers and senior operators. Hiring transparency and learning signals exist in pockets, yet salary clarity and early-career outcomes data are thin in public sources, which holds the score down.
Pillar 1: Early-career access

Score

9.5
/ 20
  • The company listed multiple “Graduation/Final year” internships in the research lab, explicitly framed as internships rather than disguised junior full-time roles.
  • H Company’s main open roles list skews senior, including engineering roles that call for multi-year experience and titles like Staff Engineer and Senior Software Engineer.
  • The company includes a broad “Spontaneous Application” route, but the public description is too general to count as a reliable 0–3 years access path.
Pillar 2: Hiring fairness and transparency

Score

11.5
/ 20
  • The company publishes basic application expectations on internship listings, including that a resume is required while a cover letter is optional.
  • H Company sets clear location constraints on early-career listings, including “No remote work” and Paris as the stated location for the graduation internships.
  • The company provides some role-clarity signals in job descriptions, such as stating expected office cadence for hybrid roles and the likely travel cadence between offices, but the wider process steps are not clearly published in accessible sources.
Pillar 3: Learning and support

Score

11.0
/ 20
  • The company frames early-career learning through team exposure in the research internship description, naming Models, Data Research, and Agent teams as possible placements.
  • H Company positions the engineering internship inside a Product Engineering Team responsible for operating and implementing Agents and Inference platforms, which is work that typically builds practical “production” skills fast.
  • The company talks about “openness, learning, and collaboration” in role pages, but there is little public detail on onboarding, mentorship, or review cadence that a new grad could rely on.
Pillar 4: Pay fairness and stability

Score

10.2
/ 20
  • The company does not specify salary on the graduation internship listings, which makes it hard for early-career candidates to assess fairness up front.
  • H Company describes pay at a high level in some job descriptions using phrases like “competitive salary” and also references equity in employee feedback.
  • The company does not consistently publish salary ranges across roles in accessible postings, so pay transparency remains uneven even when roles are clearly scoped.
Pillar 5: Early-career outcomes

Score

8.8
/ 20
  • The company has very limited public outcomes data, with only a small number of employee reviews available, which restricts confidence on promotion and retention patterns for juniors.
  • H Company’s available employee feedback includes strong positives about team quality and compensation, paired with a “very fast pace” downside that can affect early-career sustainability depending on manager and team.
  • The company has public signals of repeat hiring (multiple roles across research, engineering, and go-to-market), but there is no published early-career progression story or junior cohort track record to score higher.
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