Paid.ai

Billing infrastructure for AI agents
Last updated:
January 27, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
Paid.ai builds billing and margin infrastructure for AI-agent businesses, covering usage tracking, agent cost attribution, and “results-based” billing workflows. The product messaging focuses on pricing models that fit agentic software rather than seat-based SaaS billing. Public materials highlight SDK-based integrations (Node, Python, Go, Ruby) and enterprise assurances like an SLA and support coverage. Press coverage also reports substantial early funding rounds tied to bringing the product out of stealth.
Locations and presence
Paid.ai lists London as headquarters, with a published London address on the company’s public profile. The company also describes a globally distributed team across regions rather than a single-office setup.
Palpable Score
23.4
/ 100
Paid.ai has strong product and investor visibility, but offers very little public hiring information that an early-career candidate can use to assess access, fairness, or support. Most pillars are capped by missing evidence: few visible job listings, no published interview process, no pay ranges, and no early-career outcome data.
Pillar 1: Early-career access

Score

3.2
/ 20
  • The company does not publish a careers page or a list of open roles on the main website navigation, which limits entry-level access signals.
  • Paid.ai does not show internships, apprenticeships, or “0–2 years” roles in public-facing materials that a graduate could reliably apply to.
  • The company’s privacy policy references submitting a resume online or applying via LinkedIn, but without role postings, early-career entry points remain hard to find.
Pillar 2: Hiring fairness and transparency

Score

6.7
/ 20
  • The company does not publicly outline interview stages, expected timelines, or assessment formats for candidates.
  • Paid.ai’s privacy policy sets expectations that candidate data may be collected via an online application or LinkedIn, which is a basic transparency signal.
  • The company does not publish role scorecards, take-home boundaries, or what “good” looks like for typical functions, which matters more for first-time applicants.
Pillar 3: Learning and support

Score

4.5
/ 20
  • The company does not publicly describe onboarding, mentoring, pairing, or manager 1:1 routines for new hires.
  • Paid.ai’s public “About” content focuses on mission and founder backgrounds rather than how junior employees are coached day-to-day.
  • The company provides extensive product documentation for users, but there’s no equivalent public signal of internal learning support for early-career employees.
Pillar 4: Pay fairness and stability

Score

6.0
/ 20
  • The company does not publish salary ranges or benefits details in a public jobs hub, which caps pay-fairness confidence for early-career candidates.
  • Paid.ai positions itself as enterprise-grade with support commitments like an SLA, which often correlates with more stable operating discipline, but compensation specifics are still missing.
  • The company does not publish equity basics or compensation philosophy that would help juniors compare offers.
Pillar 5: Early-career outcomes

Score

3.0
/ 20
  • The company does not publish early-career outcomes such as promotion examples, levelling, or internal mobility stories.
  • Paid.ai has limited third-party employee outcome evidence available publicly, including minimal review and interview feedback footprint on major platforms.
  • The company’s public presence and funding news signal growth, but retention and junior progression cannot be verified without role history or alumni outcomes.
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