Diligence memo · auto-generated · as of July 2, 2026

ROM Technologies, Inc.

ROM Technologies, Inc. looks under-valued against its niche peers and is quiet on financing cadence.

SourceModeled below same-niche peers while still financing on rhythm — a potential mispricing worth a closer look.

Businessfiled

ROM Technologies, Inc. operates in Software / Tech, based in BROOKFIELD.

No verified homepage on file yet — operating evidence is limited to the public record.

Capital & rounds (filed)filed

ROM Technologies, Inc. has raised $952M in disclosed capital across 25 recorded rounds, aggregated from public filings. Its latest round is modeled as Growth/Late (a round over $400M).

Largest single filing: $448M on 2014-09-15.

Most recent recorded round closed around 2024-11-15.

Filings read as a recurring offering program rather than a clean venture-stage ladder — interpret stage labels and step-ups with that in mind.

Valuation (modeled)modeled

Provath models ROM Technologies, Inc. at approximately $63M (range $38M–$78M). This is an algorithmic estimate from round sizes and same-niche peers — not a quoted or reported figure.

Read: Under-valued. Modeled value is 0.01× the median modeled value of Growth/Late Software / Tech companies in 2022–2024 (6 peers) — value vs value, same stage and era.

Financing rhythm & timingmixed

Historic cadence: a new round about every 3 months.

Last raise 20 mo ago; this sector typically re-raises about every 13 months.

Slightly overdue versus sector cadence.

The last round was 6.7× smaller than the prior — a bridge or down round.

Comparablesmixed

Capital scale ranks ahead of 100% of Software / Tech peers (3920 compared).

Modeled value ranks above 62% of those peers.

Closest niche peers: JUUL Labs, Inc., Jingbo Technology, Inc., Yuga Labs, Inc., Sanborn Analytics Inc, Pagaya Technologies Ltd..

Peoplefiled

12 named people on file across officers, directors and signatories.

Risks & flagsmixed

No clearly named CEO/founder/principal in the surfaced records — key-person evidence is thin.

Recurring-offering pattern: stage-based valuation has lower applicability.