AI Product Lab

oozr

Experiments in AI-native software, data moats, and automated products. oozr is built as a space-traversing, high-frequency signal in an age where noise scales faster than utility.

More information is not always better. The lab focus is filtering, ranking, and operationalizing what matters before entropy compounds.

Projects

Active experiments

Procure

Saudi procurement intelligence

Status
Live indexing
Dataset size
2.4M tender lines
Last update
2026-03-07
Open project ->

RegulatedPlants

Global invasive species regulation dataset

Status
Data expansion
Dataset size
13.1k regulations
Last update
2026-03-06
Open project ->

CEFR.ai

Language difficulty modelling

Status
Model tuning
Dataset size
96k labeled passages
Last update
2026-03-08
Open project ->

Live Metrics

Auto refresh

Tenders indexed

184,620

Updated 2026-03-08 09:22

Plant regulations collected

13,112

Updated 2026-03-08 09:18

CEFR texts analyzed

96,340

Updated 2026-03-08 09:24

Experiments completed

57

Updated 2026-03-08 09:10

Usage Signals

Events / day

cefr.ai texts analyzed

1,260

0 users today 824.4% 7d

procure searches

730

0 users today 770.1% 7d

regulated plants lookups

418

0 users today 767.3% 7d
Growth metric Latest 24h delta 7d delta 7d growth
tenders indexed 184,620 14,380 14,380 8.4%
plant regulations collected 13,112 1,072 1,072 8.9%
cefr texts analyzed 96,340 7,940 7,940 9.0%

Combined mrr 7d change: $830.00 (12.8%)

Sync health

cefr-ai

no sync runs yet

procure

no sync runs yet

regulatedplants

no sync runs yet

Revenue + Spend

Open finance ->

Monthly revenue

$7,330.00

Monthly spend

$163.84

Net monthly

$7,166.16

Shared tools burn

$78.25

Project Revenue Spend Net
Procure $4,200.00 $68.00 $4,132.00
RegulatedPlants $1,850.00 $51.75 $1,798.25
CEFR.ai $1,280.00 $44.08 $1,235.92

Build Log

Chronological

Date

2026-03-08

Experiment

Prompt-augmented CEFR classification on noisy learner text

Result

Reduced borderline A2/B1 misclassification by 12%.

Code

Repository

Date

2026-03-07

Experiment

Tender deduplication with supplier + title fingerprinting

Result

Removed 8.4% duplicate notices from weekly ingest.

Code

Repository

Date

2026-03-06

Experiment

Country-level rule extraction using constrained parsing

Result

Lifted extraction precision to 0.93 on validation set.

Code

Repository

Date

2026-03-05

Experiment

Supplier intent scoring from historical award signals

Result

Top-decile lead precision improved from 0.41 to 0.58.

Code

N/A

Date

2026-03-03

Experiment

Lexical rarity feature ablation for CEFR bands

Result

Feature had high impact on B2/C1 separation; kept in stack.

Code

N/A

Date

2026-02-28

Experiment

Crawl retry policy for unstable ministry portals

Result

Collection reliability rose from 78% to 95% weekly.

Code

Repository