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Blicker

by Blicker

AI Application
Low Confidence

Blicker is an AI tool that reads utility meters from a smartphone or tablet photo, used both by customers who read their own meters and by field technicians. The user takes a photo, Blicker returns the reading, the user verifies it, and the data is sent to the utility's systems; Blicker claims accuracy above 99%. Dutch grid operator Stedin is a named customer, with its CDO quoted on Blicker's site; Brabant Water is also named. Blicker says it is used by 25 organisations and credits Clockworks as its developer. Hosting and model are not stated.

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Transparency Score

Weighted across four pillars · updated November 2, 2026

Overall grade
54% weighted
ABCDF
Model
—
Not yet assessed

Capabilities

Meter Reading Ocr
Field Data Capture

Vendor Information

Complete information about the vendor/provider of this AI application

BlickerView all products →
Blicker B.V.(Trading as: Blicker)
Contact Information
blicker.ai
Registered Address
Stationsplein 45, Rotterdam, 3013 AK, NL

Infrastructure

Platforms hosting this application — each inherits its own transparency grade.

Microsoft Azure
Microsoft Corporation
F
View full infrastructure →

EU AI Act Provider Information

Verification Status:
Unverified
(Last verified: November 2, 2026)
Blicker B.V.(Trading as: Blicker)
Stationsplein 45, Rotterdam, 3013 AK, NL
Reporting channel: Privacy statement section 10: a defined security and privacy incident management process with breach notification to customers within at most 48 hours; privacy questions to privacy@blicker.ai (general hello@blicker.ai). End users are directed to their utility for rights requests. No public vulnerability-disclosure channel. Source: https://www.blicker.ai/privacy (read 2 November 2026).
Blicker's privacy statement says its AI components only support meter-reading and utility administration, make no Art. 22 GDPR decisions, and that all AI outputs used for billing or regulatory purposes remain subject to human oversight; customers get documentation of intended purpose and limitations under the EU AI Act. NMi testing found 99.79% validity for high-confidence readings, 98.96% for high+medium, and 97.83% overall across all confidence levels; low-confidence or poor-quality photos trigger a request to retake the photo. Source: https://www.blicker.ai/privacy (read 2 November 2026).

Supply Chain Network

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Compliance & Risk

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Added: November 2, 2026
Updated: November 2, 2026

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