Labor Vector
Labor Vector meta-aggregator / AI governing labor

Bossware and Employment Tech Database

AI governing laborGains and lossesdatabasehistorical
Bossware and Employment Tech Database: a database. Operator: Coworker.org. Its unit: a labor-focused technology product (one table row per product, with its parent company, category, type, targeted workers, investors, and assessments of its data practices against worker-rights criteria). Whose labor: the work of hourly, contract, salaried, non-management and management workers whose hiring, productivity, safety, benefits and pay pass through these products; the report centres low-wage and hourly workers.
Visit Bossware and Employment Tech Database ↗The /non rowThe DSL audit
Coworker.org’s Bossware and Employment Tech database compiles more than 550 labor-focused technology products that are changing our relationship to work.

In its own words: https://home.coworker.org/?p=770, read 2026-10-29

Who supplies, who directs, who gains

Supplies the laborthe workers each product targets (its 'Targeted Workers' field: hourly, contract, salaried, non-management, management, and in some rows visitors)
Directs itemployers who buy and deploy the products (each row's 'Clients' and 'Industries Product is Marketed Towards'), through the vendors who make them
Receives the gains, bears the coststhe vendors and the investors each row names; the report states that the products are continuing to shift the costs of production onto workers

Each as the resource itself records it. Where it records nothing, the census says so.

What it records

IntersectionsAI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline; Distribution of gains and losses: wages, employment, workload, credit, ownership, and who captures productivity gains; Worker power: bargaining, organizing, consent, refusal, contestation and enforceable protections
Kind of evidenceproduct inventoryrating against standards
Unit of recorda labor-focused technology product (one table row per product, with its parent company, category, type, targeted workers, investors, and assessments of its data practices against worker-rights criteria)
Whose laborthe work of hourly, contract, salaried, non-management and management workers whose hiring, productivity, safety, benefits and pay pass through these products; the report centres low-wage and hourly workers
Methoddesk research on public sources: product sites, privacy statements, terms of service and public impact assessments; investor data from Crunchbase; app permissions and hardware data from the Google Play store op
Coveragegeography: 42 distinct origin-territory values in the saved table, most from the United States (461 of 635 rows); the report states non-U.S. products were omitted or overlooked; period: research November 2020 to May 2021; products developed 2018 to 2021; published 17 November 2021
What it findsmost products touch the whole labor process, from hiring and recruitment to payroll and benefits; 31% of the products listed emerged between 2020 and 2021; only 35% of the products share any information on privacy policy and data sharing arrangements; the report reads the products as eroding labor standards and weakening worker voice and worker power; in the saved table: 242 rows Labor Market Optimization, 178 Workplace Performance/Productivity Monitoring, 176 Workplace Safety, 34 Workplace Benefits, Health, and Well-being, 5 in two categories; status 595 In Use, 25 In Development, 11 Discontinued, 3 Unknown, 1 Beta testing; 206 emerged during Covid-19; in the informed-consent column, 86 rows carry the wording 'Informed consent is not obtained before personal information is collected and processed', 2 say informed consent is not obtained from workers before their data is collected, and 19 say 'No' alone: 108 rows begin 'No', one of them a note that the product has no privacy policy or terms of use
Its stated limitsthe database is not exhaustive: hundreds more products still emerging or in development, and non-U.S. products, were omitted or overlooked; collection stopped once the researchers felt they had sufficient evidence of pervasiveness; built at the product level, so smaller Big Tech platform companies (Uber, Lyft, DoorDash and others) are omitted; privacy assessments rest on publicly accessible statements and documents

op the resource's own statement · 3p a third-party account · obs our observation · rd our reading. Hover a tag for its quote; each opens below with its source.

What this evidence can settle

Can answer

  • which workplace technology products existed in 2020 to 2021, by category, type, targeted workers, origin and investors
  • what each product's public documents say about consent, worker access to data, grievance mechanisms, data sharing and law-enforcement access

Cannot answer

  • how any product is used at a given workplace, or how often
  • what effect a product has on wages, workload or employment
  • products launched after May 2021, or the present status of listed products

In the worked questions

Where it meets Labor Vector

rd The database inventories the products through which employers direct work and collect workers' data, product by product; it meets the directionality stack at the layer of who directs labor. It records nothing on whether a system's labor advanced a commissioned task, so DSL and task-origin find no measurement in it.

Entity

Canonical nameBossware and Employment Tech Database
Also known asLittle Tech database, Bossware and Employment Tech, Little Tech Is Coming for Workers (the accompanying report)
Addresshttps://home.coworker.org/worktech/
OperatorCoworker.org
Foundedpublished 2021-11-17
Kinddatabase
Lifecyclehistorical — researched November 2020 to May 2021 and published 17 November 2021; no later update is stated on the saved page
Countmore than 550 products (its own statement); 635 product rows in the saved table (as of 2021-11-17 (published); rows counted in the page saved 2026-10-29) obs
Data accessa filterable table embedded in the page; the report as a PDF download
Licencereport: CC BY-NC-ND 4.0 (Attribution NonCommercial-NoDerivatives 4.0 International); no licence stated for the database table op
Versions and datesresearch: 2020-11 to 2021-05; published: 2021-11-17; report: 2021; read: 2026-10-29
Observation2026-10-29: read

Relations

Neighbours

Captures: the composition layer's account

The /non row

Evidenceevery field's quote, its source and the hash of the saved copy29
Negative tagswhat it is not5
  • NOT a measure of how widely any product is deployed
  • NOT worker testimony: the page invites workers to share stories, and the table holds none
  • NOT an exhaustive census of workplace technology
  • NOT updated since 2021 on the saved page
  • NOT a record of the Big Tech gig platforms, which it omits
Sourcesevery source read, with its date and hash2
Not yet checkedwhat remains to read4
  • the report read in part: the PDF text is two-column and quotes are held to single-column runs; its percentages for categories (40% workplace safety, 38% labor-market optimisation) are not reproduced by the saved table (176 and 242 of 635 rows)
  • the worker stories submitted through the page
  • the news, corporate-document and testimonial links in each row
  • whether the 635 saved rows include products added after the 2021 report

Cite this record

Lee Sharks, ed. "Bossware and Employment Tech Database." Labor Vector meta-aggregator, laborvector.org, compiled 2026-10-29. https://www.laborvector.org/aggregators/coworker-bossware-database

Record https://www.laborvector.org/aggregators/coworker-bossware-database · entity https://www.laborvector.org/aggregators/coworker-bossware-database#entity · the census as data

@misc{lv-coworkerbosswaredatabase2026,
  editor = {Sharks, Lee},
  title = {Bossware and Employment Tech Database},
  howpublished = {Labor Vector meta-aggregator, laborvector.org},
  year = {2026},
  note = {Compiled 2026-10-29; every field sourced and dated},
  url = {https://www.laborvector.org/aggregators/coworker-bossware-database}
}
Editor: Lee Sharks (ORCID 0009-0000-1599-0703). This page is the Labor Vector meta-aggregator's record of the resource above: its reading and fields are ours, and each field carries its source, its basis and the hash of the copy read. The resource's own terms and findings are kept as its own. Compiled 2026-10-29. CC BY 4.0.