Tender for Corrigendum: Artificial Intelligence, Machine Learning, a...

The COMMERCIAL TAXES DEPARTMENT, GOVT OF UTTARAKHAND, a Public sector organization in India, has invited bids for Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - O&M, Integration with P, Qty: 1 in Dehradun, Uttarakhand, India.

As per the official tender notification (Tender ID: GEM/2025/B/7004448 | Ref ID: 134661366). The estimated tender value is ₹ 180000000, with an Earnest Money Deposit (EMD) of ₹ 3625000.

The tender is published on 29 Jan 2026, and the last date for bid submission is 12 Feb 2026.

All Eligible contractors, suppliers, and service providers from Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - O&M, Integration with P, Qty: 1 category are invited to participate in this opportunity, subject to meeting the prescribed eligibility criteria and tender conditions.

Notice Status: This Tender has Expired. While the deadline of 12 Feb 2026 has passed, this record remains available for historical reference, price benchmarking, and industry tracking purposes in Uttarakhand.

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Procurement Summary

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Country: India

State: Uttarakhand

Summary: Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - O&M, Integration with P, Qty: 1

Posting Date: 29 Jan 2026

Deadline: 12 Feb 2026

Purchaser's Detail

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Other Information

Notice Type: Tender

RefID: 134661366

Notice Ref. No.: GEM/2025/B/7004448

Tender Value: ₹ 180000000

Tender EMD: ₹ 3625000

Tender Document Cost: Refer Document

Competition: NCB

Financier: Self Financed

Purchaser Ownership: Public

Tender's Details

Artificial intelligence, Machine Learning, and Deep Learning as a Service - O&M, Integration with pre-developed service provider-s module, Development; Machine Learning supported Data Management, Computer Vision and Automated Image Recognition, As pe..
Quantity Required: 1
Start Date: 15-12-2025 4:55 PM
End Date: 12-02-2026 5:00 PM
EMD Amount: 3625000

Notice Documents

Tender Notice

Bid_Document_8717621.pdf