Tennr

Medical document automation
Last updated:
February 4, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
Tennr sells an AI automation platform that turns messy inbound medical documentation (fax, portals, uploads) into payor-ready, structured intake workflows. The Tennr website positions the product around faster referral conversion, fewer denials, and reducing pre-visit operational work. Tennr also markets a healthcare-specific model (“RaeLM”) and states the system processes over 10M documents per month. Public coverage highlights Tennr as a document-intelligence healthcare startup that has raised institutional funding.
Locations and presence
Tennr lists an office address in New York City (275 7th Ave, Floor 21). Employee reviews also show roles based in Gurgaon, Haryana, alongside New York-based reviews, suggesting the company has at least some international hiring footprint.
Palpable Score
65.0
/ 100
Tennr looks like a fast-scaling startup with some real entry points (notably an Associate-track role) and credible signals on pay, benefits, and day-to-day learning through close leadership access. The score is held back by limited, early-career-specific outcome evidence (most review snippets are from people with less than one year) and patchy transparency across roles.
Pillar 1: Early-career access

Score

12.3
/ 20
  • The company lists at least one explicitly junior entry point with an “Associate Embedded Solutions Engineer” role rather than only senior titles.
  • Tennr shows a broad hiring mix on job boards, but many roles appear mid-to-senior (for example ML and product engineering), which narrows true 0–3 year access.
  • The company does not present a dedicated graduate or internship pipeline in the public careers materials, which caps volume-based scoring.

Pillar 2: Hiring fairness and transparency

Score

13.0
/ 20
  • The company runs hiring through a structured ATS posting flow (Ashby) and provides a centralized “See Open Roles” path from the careers page.
  • Tennr includes concrete compensation ranges in at least some public listings (example: a posted salary band for a Data Analyst role), which improves transparency.
  • The company has mixed interview sentiment on Glassdoor with a low “positive interview experience” share shown on the interview FAQ pages, which drags the fairness score even with some comments describing a smooth process.

Pillar 3: Learning and support

Score

14.0
/ 20
  • The company frames the Associate Embedded Solutions Engineer role around ramping on healthcare operations and learning Tennr’s platform, which is a strong “hands-on learning” signal for early-career hires.
  • Tennr highlights “promoting from within” on the careers page and positions growth as part of the benefits and opportunities package.
  • The company gets support-style signals in reviews that reference access to leadership and learning every day, but there is limited public detail on structured onboarding, pairing, or review cadence.

Pillar 4: Pay fairness and stability

Score

14.7
/ 20
  • The company publicly lists benefits like 401(k) matching, unlimited PTO, and “meaningful equity,” which is a solid stability signal for a startup.
  • Tennr shows competitive compensation bands in at least some job ads, and at least one posting also lists strong health coverage and parental leave benefits.
  • The company does not consistently publish salary ranges across every role on the main careers site, so pay transparency is not uniform and the score cannot reach the top tier.

Pillar 5: Early-career outcomes

Score

11.0
/ 20
  • The company has a small set of Glassdoor reviews with very high overall ratings and “career opportunities” scoring, but many visible snippets are from current employees with less than one year, which limits confidence in long-term progression.
  • Tennr shows repeat hiring across multiple functions, which can correlate with internal mobility opportunities, but the public evidence does not track junior-to-mid promotions over 12–24 months.
  • The company has limited published early-career outcome proof (for example: apprenticeship conversion rates, promotion timelines, or retention stats), so the outcomes pillar stays mid-range.

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