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

The OIL INDIA LIMITED, a Public sector organization in India, has invited bids for Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - Development; Hiring Of, Qty: 2 in Andaman, Andaman and Nicobar Island (UT), India.

As per the official tender notification (Tender ID: GEM/2026/B/7919096 | Ref ID: 149090381).

The tender is published on 13 Sep 2026, and the last date for bid submission is 05 Oct 2026.

All Eligible contractors, suppliers, and service providers from Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - Development; Hiring Of, Qty: 2 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 While the deadline of 05 Oct 2026 has passed, this record remains available for historical reference, price benchmarking, and industry tracking purposes in Andaman and Nicobar Island (UT).

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Procurement Summary

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Country: India

State: Andaman and Nicobar Island (UT)

Summary: Corrigendum: Artificial Intelligence, Machine Learning, and Deep Learning as a Service - Development; Hiring Of, Qty: 2

Posting Date: 13 Sep 2026

Deadline: 05 Oct 2026

Purchaser's Detail

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Other Information

Notice Type: Tender

RefID: 149090381

Notice Ref. No.: GEM/2026/B/7919096

Tender Value: Refer Document

Tender EMD: Refer Document

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 - Development; Hiring of services for well planning process through automation of Drilling and Workover rig scheduling process, enablement of a collaborative platform for well .., Artificial intelligence, Machine Learning, and Deep Learning as a Service - Development; Hiring of services for implementation of solution which combines historical drilling data, petrophysical models, historical surface data, downhole data, and AI/M..
Quantity Required: 2
Start Date: 14-08-2026 2:08 PM
End Date: 05-10-2026 2:00 PM

Notice Documents

Tender Notice

Bid_Document_9757718.pdf