Running pattern detector against the corpus
The dataset shows entities that received substantial federal funding then ceased appearing in the corpus — flagging recipients that went silent after the money flowed.
Glassbox surfaces correlations and observations, not findings of misconduct. Severity is a calibrated read on how strongly the dataset matches the pattern definition — a starting point for review, not a verdict.
The match meets the pattern threshold but the signal is the lower band. Normal review queue.
The match exceeds the routine threshold. Worth a closer look — pull the source rows, walk the citation.
The match is in the highest band of the calibrated scale. Recommend: prioritise for active review.
Severity is computed from the detection signal · recipient total (original commitments, is_amendment = false) ≥ p90 of recipient totals within the recipient's primary department AND ≥ $500K floor · last agreement_start_date < as-of − 36 months, as-of = MAX(agreement_start_date) ≤ CURRENT_DATE · signal = years silent
The dataset shows Tieleman, Peter received $541,800 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
Once a match is identified, the dataset suggests these review actions. Glassbox does not prescribe outcomes — these are calibrated options for funders, auditors, and program officers, framed as correlations to investigate.
Cross-reference the recipient legal name with the relevant federal/provincial corporate registry. An active corporate status with no recent grant activity may indicate program completion (normal); a dissolved or in-default status with prior public funding warrants review.
If the recipient is a registered charity (CRA-registered), pull the most recent T3010 filing date. A gap exceeding 18 months is a regulatory issue independent of the federal-funding silence.
Did the funded program complete? Was the final report submitted? Were funds returned, if applicable? Silence in the corpus is not evidence of incompletion, but it is the signal to verify.
Some zombies are just program endings; others are entity disappearances after public money flowed. Close the match with reasoning, or move to active monitoring if outcomes are unclear.
These are calibrated suggestions, not directives. The dataset shows the pattern; the funder decides the response.
Aggregated from the matches below. Severity bands are calibrated per pattern; counts and dollar totals reflect this snapshot only.
The dataset shows Champagne, Pascale received $535,840 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Affes, Sofiène received $534,034 across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Chan, Laurie received $528,360 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Pattabiraman, Karthik received $527,080 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Froese, Duane received $524,760 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Batey, Robert received $517,780 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Charron, Jean-Philippe received $516,773 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Gale, Charles received $516,000 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Hu, Can-Ming received $507,000 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Bromme, Dieter received $3,261,710 across 6 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows banquy, xavier received $501,240 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Carrier, Julie received $2,673,423 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Langlois, Valérie received $503,733 across 6 federal agreements from 2 departments — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Chun, Wendy H.K. received $736,390 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Hideg, Ivona received $659,644 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Langlois, Robert received $662,185 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Collin, Simon received $614,874 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Whitfield, Christopher received $2,517,095 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Banerjee, Kiran received $596,247 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Jodoin, Sébastien received $575,079 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Michaletz, Sean received $605,820 across 5 federal agreements from 2 departments — above the 90th percentile of recipients funded by Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows King-Jones, Kirst received $2,056,790 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Thorin, Eric received $1,852,609 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Boutin, Stanley received $2,184,800 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Shi, Yan received $1,889,320 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Gouin, Jean-Philippe received $1,816,899 across 5 federal agreements from 2 departments — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Poppenk, Jordan received $511,216 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Cherry, Nicola received $1,672,773 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Garton, Michael received $667,300 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Ghassemi, Marzyeh received $593,680 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Hausladen, Debra received $672,460 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Kirby, Miranda received $682,780 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Narasimhan, Sriram received $954,812 across 6 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Strack, Maria received $842,727 across 3 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Thomaszewski, Bernhard received $505,440 across 2 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Zhou, Yang received $703,420 across 4 federal agreements from 2 departments — above the 90th percentile of recipients funded by Social Sciences and Humanities Research Council of Canada | Conseil de recherches en sciences humaines du Canada — with the most recent agreement dated 2020-09-01: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KUUJJUARAAPIK - WHAPMAGOOSTUI RENEWABLE ENERGY CORPORATION (BN 117530118) received $8,000,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with the most recent agreement dated 2020-09-02: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows UNICEF CANADA (BN 122680572) received $11,000,000 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with the most recent agreement dated 2020-09-02: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Mapei inc.|Mapei inc. (BN 103490140) received $2,000,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Canada Economic Development for Quebec Regions | Développement économique Canada pour les régions du Québec — with the most recent agreement dated 2020-09-03: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows La Fromagerie coopérative St-Albert inc. (BN 1011B7743) received $1,049,679 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada — with the most recent agreement dated 2020-09-08: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Interconnection Research International Ltd (BN 895150613RT0001) received $4,122,096 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2020-09-08: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Information and Communication Technologies Association of Manitoba (BN 897935599) received $2,318,972 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Western Economic Diversification Canada | Diversification de l'économie de l'Ouest Canada — with the most recent agreement dated 2020-09-08: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Expert System Inc. (BN 790240097) received $1,150,000 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada — with the most recent agreement dated 2020-09-09: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Keewatin Community Development Association Inc (BN 898146733) received $1,075,000 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Western Economic Diversification Canada | Diversification de l'économie de l'Ouest Canada — with the most recent agreement dated 2020-09-09: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
The dataset shows Atlantic Groundfish Council l Atlantic Groundfish Council received $2,929,500 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Fisheries and Oceans Canada | Pêches et Océans Canada — with the most recent agreement dated 2020-09-11: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows CBI Consultants Ltd (BN 123286387RP0001) received $2,999,974 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2020-09-14: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Sayisi Dene First Nation received $3,226,921 across 2 federal agreements from 2 departments — above the 90th percentile of recipients funded by Environment and Climate Change Canada | Environnement et Changement climatique Canada — with the most recent agreement dated 2020-09-14: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Canadian Association for Supported Employment (BN 867206401RC0001) received $1,000,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2020-09-15: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Manitoba Forage and Grassland Association Inc. received $1,125,589 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada — with the most recent agreement dated 2020-09-15: 6.0 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.