Progress
Oil India Limited invites proposals for Artificial intelligence, Machine Learning, and Deep Learning as a Service focused on the development and implementation of an Engineering/Process Digital Twin across multiple sites: Makum OCS, Hebeda GCS, Madhuban CGGS and OTP. The procurement aligns with digital transformation initiatives in upstream operations, seeking end-to-end AI/ML services, design, development, deployment, and ongoing support. The tender emphasizes a structured, scalable digital twin capable of simulating process dynamics, predictive maintenance, and optimization workflows. A notable procurement lever is the Purchase Preference for Micro and Small Enterprises (MSEs), with lawful eligibility criteria requiring the bidder to be the manufacturer or service provider as applicable. The absence of a BOQ suggests a comprehensive, service-oriented solution with an emphasis on delivery milestones, performance guarantees, and integration capabilities. The estimated contract value remains undisclosed, but the EMD is set at ₹13,018,000, signaling a project of substantial scale and technical complexity for the targeted EPC/AI ecosystem. This tender presents a unique opportunity for AI-enabled digital twin deployment across multiple field facilities within the Oil India Limited portfolio, with emphasis on performance, reliability, and alignment to government procurement preferences.
Service category: AI/ML as a Service for Engineering/Process Digital Twin
Locations: Makum OCS, Hebeda GCS, Madhuban CGGS, OTP
EMD amount: ₹13,018,000
Purchase preference: MSE as per MSE Order 2012, 2012 amendments
Delivery/implementation details: Not specified; bidders to provide project plan with milestones
Standards: Not specified in tender data; imply IS/ISO alignment suitable for AI/ML deployment
EMD of ₹13,018,000 required; payment terms to be defined in RFP
MSE purchase preference available; manufacturers/service providers only
Service-oriented digital twin development across four Oil India Limited sites
Not explicitly defined; bidders should expect milestone-based payments aligned to deliverables per RFP
Not specified; bidders must submit a detailed project plan with milestones for digital twin development
Not disclosed; anticipate standard performance penalties in RFP; determine from contract draft
Bidder must be the manufacturer of offered AI/ML service or the service provider for the offered service
MSE eligibility required for purchase preference; evidence to be uploaded
Experience in AI/ML, digital twin deployment, or related engineering digital transformation projects
Quantity
1
Bid Type
Two Packet Bid
Bid Validity
120 (Days)
Bid Type
Service
Evaluation
Total value wise evaluation
Tech Clarification Time
7 Days
EMD Required
Yes
MII Compliance
Yes
MSE Purchase Preference
Yes
MSE Preference Band
L1+15%
MSE Exemption/Relaxation
No
Startup Exemption/Relaxation
No
Bid Splitting Applied
No
Arbitration Clause
No
Mediation Clause
No
Tender Category
Service
Bid To RA
No
Bid To RA Enabled
No
Item Category
Artificial intelligence, Machine Learning, and Deep Learning as a Service - Development; Design, Development & Implementation of a Engineering/Process Digital Twin in Makum OCS, Hebeda GCS, Madhuban CGGS and OTP; AS PER TENDER DOCUMENT; AS PER TENDER..
Advisory Bank
ICICI
ePBG Percentage
5%
ePBG Duration (Months)
74
Payment Timelines
Payments shall be made to the Seller within 30 days of issue of service delivery acceptance certificate (SDAC) and on-line submission of bills (This is in supersession of 10 days time as provided in clause 12 of GeM GTC)
Pre-Bid Date
01-09-2026 10:00:00
Pre-Bid Venue
OIL's Corporate Office, Noida
Delivery Locations
1
Delivery Cities
Dibrugarh
Delivery Pincodes
786602
| Consignee | Address | City | State | Pincode | Quantity | Delivery Days | Additional Requirement |
|---|---|---|---|---|---|---|---|
| Karishma Doley | 786602,Oil India Limited, Duliajan, Assam | Dibrugarh | Assam | 786602 | Project / Lumpsum Based | - | Number of Resources : 1 |
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Main Document
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GEM_GENERAL_TERMS_AND_CONDITIONS
GEM_GENERAL_TERMS_AND_CONDITIONS
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GST registration certificate
Permanent Account Number (PAN) card
Experience certificates for AI/ML service delivery, digital twin projects
Financial statements demonstrating stability
EMD submission documentation (DD or online payment receipt as applicable)
Technical bid documentation outlining AI/ML service approach, architecture, data governance
OEM authorizations or service provider certifications (if applicable)
Any documentary evidence supporting MSE status for purchase preference
Key insights about ASSAM tender market
Bidders must register with Oil India Limited, submit the technical and financial bids, upload GST, PAN, experience certificates, and EMD of ₹13,018,000. Ensure you meet MSE eligibility and provide evidence of manufacturing or service capability for AI/ML digital twin deployment.
Required documents include GST certificate, PAN card, experience certificates for AI/ML deployments, financial statements, EMD submission, technical compliance details, and OEM authorizations if applicable. MSE status evidence is needed for purchase preference eligibility.
The scope covers AI/ML as a Service for Engineering/Process Digital Twin across four sites: Makum OCS, Hebeda GCS, Madhuban CGGS, and OTP. Precise data governance, data integration, and deployment milestones must be proposed by bidders in their technical plan.
The EMD amount is ₹13,018,000. Submit via Demand Draft or online payment as per tender terms. EMD demonstrates bid seriousness and helps qualify bidders for the services.
Purchase preference is available for Micro and Small Enterprises (MSEs) as defined in the MSE Order 2012. If L-1 is not an MSE, MSE bidders within L-1+15% may be invited to match and secure 100% contract value.
No explicit standards are listed in the provided data. Bidders should align with appropriate IS/ISO frameworks for AI/DS projects and ensure governance, security, and interoperability suitable for Oil India Limited digital twin deployments.
Payment terms are not detailed in the provided data. Expect milestone-based payments aligned to deliverables in the RFP; ensure clarity on acceptance criteria, invoicing, and release of funds in the contract draft.
Bidders must propose a detailed project plan with milestones for design, development, deployment, and integration of the digital twin across four sites, including data governance, security, and performance guarantees; SLAs should be defined in the bid.