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/Index/FinanceOps/FinanceOps
F

FinanceOps

FINANCEOPSManage supplier listing

Regulated utility arrears and hardship-case records generated during collections workflow: account balance and arrears-age data per utility customer, outreach interaction records across channels with sentiment and hardship-signal classification applied in real time, protected-class and hardship determinations (elderly, disability, medical, winter moratorium) made against jurisdiction-specific rule sets, affordability assessment and the resulting payment-plan structure (weekly, biweekly, monthly or custom schedules matched to what a household can sustain), the outcome of each plan (completed, broken, reinstated), disconnection and shutoff-ban status per jurisdiction and season, and a timestamped, exportable audit trail of every eligibility decision built for regulatory commission review. Alongside this sits a genuinely valuable secondary asset: the encoded rule library itself — how winter shutoff bans, protected classes and hardship eligibility are configured state by state

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FinanceOps/FinanceOps
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Application SoftwareConsumer Finance
Instruments
equitiesfixed_income
Categories
Alternative
ESG
Consumer
Reference
Regions
US
Sample tickers
NEEDDTECMSWECPEGAEEEIXEXCPCG
Dataset card
Type
not stated
Format
Tabular plus interaction text — structured arrears, decision and payment-plan records in a hosted platform with timestamped audit trails designed to be exported for regulatory review, plus conversational and outreach text carrying the sentiment and hardship classification. No data feed or dataset product is offered
Volume
Request further research — no client count, portfolio size or account volume is published, and the page describes the workload qualitatively as high-volume, small-dollar balances, so an honest bound cannot be set from the evidence gathered. What can be said: for a seed-stage company with a low-tens client roster, per-jurisdiction arrears case records are likely meaningful in count but the archive is young, so any cross-season series would be limited and must be established directly with the company
Users
Enterprise clients rather than registered users — a seed-funded, 25-person company whose client logo wall spans financial services, healthcare, government and utilities (including a workers-compensation board, two credit unions, a municipality and several consumer-health businesses), implying a client roster in the low tens with utility clients a subset of that. End utility accounts processed are a large multiple of the client count, but the company holds no consumer-facing user base
History
not stated
Update frequency
not stated
Growth
Active early stage — seed-funded, roughly 25 staff in Austin, with an actively expanding multi-sector client roster and a product suite extended into autonomous workflow and real-time classification features. Fast-moving rather than established, which cuts both ways: the data is being generated now and accumulating quickly, but the company is young enough that archive depth and operational durability are unproven
Launched
Estimate 2023-2024 (inferred from seed-stage funding status, a 25-person team, and late-dated organisation and executive profile records, all consistent with a recently founded company riding the recent wave of applied AI in receivables; no launch date is stated on the page)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

FinanceOps has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling