Industrial data
Machine and shop-floor signals enter through approved sources, including the i4Gujarat / SIM ecosystem.
Joint initiativeProgramme partners
Industrial AI Centre of Excellence • Public progress update
Industrial AI, built for deployment.
A public progress update on the Industrial AI Centre of Excellence—from partnership announcement to a practical architecture, focused pilot portfolio, and implementation roadmap.
01MoU & public launchCoE partnership formalised and publicly announced.
03Working sessionsPlatforms, architecture, data, and delivery model aligned.
02Priority pilotsRenewable assets and pharma quality control.
90Day pathwayA stage-gated route from data readiness to evidence.
Joint solution frame
From signals to action
The proposed architecture connects industrial data, explainable AI, asset operations, and engineering governance—without removing human control from consequential decisions.
SAMVIT intelligence
Anomaly detection, rare-event reasoning, knowledge graphs, root-cause analysis, and explainable prediction.
IBM operations
Maximo turns insight into asset context, alerts, maintenance planning, and work-order workflows.
Governed outcomes
QRadar and IBM ELM strengthen security, requirements, testing, compliance, and lifecycle traceability.
Shared design principle: technology supports operators with timely evidence; accountable people remain in control.
Progress to date
The foundation is in place
The initiative has advanced from a public commitment to a defined technology model, a focused pilot portfolio, and an implementation pathway.
Partnership formalised
IBM, IAIRO, and the Government of Gujarat formalised and publicly outlined plans for an Industrial AI Centre of Excellence.
Read coverageWorking model aligned
Joint sessions mapped the roles of Maximo, SAMVIT, QRadar, and IBM Engineering Lifecycle Management.
Pilots focused
Renewable asset intelligence and pharma quality control emerged as the strongest first-wave opportunities.
Data needs defined
The team documented the time-series signals, operating ranges, anonymisation, and quality inputs required for modelling.
Infrastructure planned
IBM and IAIRO consolidated a joint compute, storage, platform, and model-serving blueprint for consideration.
Roadmap prepared
A stage-gated 90-day pathway now connects data readiness, technical integration, evidence review, and scale decisions.
Priority pilot portfolio
Two practical proving grounds
The first pilots are designed around measurable industrial value, explainable intelligence, and a clear path into operational workflows.
Mobilisation track
Renewable asset intelligence
Connect equipment time-series data to SAMVIT reasoning and Maximo asset workflows to surface failures earlier and support faster maintenance decisions.
Anomaly detectionRoot-cause analysisFailure predictionMaintenance workflow
Next evidence gateApproved dataset, asset context, baseline metrics, and a recorded end-to-end demonstration.
Mobilisation track
Pharma quality intelligence
Use process and quality signals to detect abnormal behaviour, trace contributing conditions, and strengthen evidence for regulated decision-making.
Quality variationProcess anomaliesTraceabilityFailure-mode learning
Next evidence gateRepresentative process data, agreed failure modes, success criteria, and stakeholder validation.
Programme timeline
From intent to pilot readiness
Each milestone below is grounded in documented activity. Future outcomes remain subject to partner, customer, and government approvals.
View the complete dated record16 milestones · June–September 2026
- Completed
Technology showcase and white-paper exchange
IAIRO shared its Industrial AI framing with IBM at the India Software Lab in GIFT City.
- Completed
MoU signed and CoE plans announced
The partnership was formalised during the Vibrant Gujarat Regional Conference in Vadodara and entered the public domain through joint media engagement.
- Completed
DST engagement and infrastructure guidance
The team met Gujarat DST in person and received preliminary guidance on the infrastructure-support pathway.
- Completed
MSME and industry ecosystem engagement
The team met the MSME Commissioner and secured a route into the NPC and wider industry ecosystem for use-case and data discussions.
- Completed
Policy chatbot opportunity identified
A support opportunity was identified for the Gujarat Industrial Policy 2026 chatbot alongside the industrial pilot track.
- Completed
Maximo–SAMVIT architecture defined
The teams mapped industrial asset data and SAMVIT intelligence into Maximo actions and operational workflows.
- Completed
Infrastructure and platform requirements consolidated
IAIRO prepared the infrastructure-request inputs while the teams assessed IBM ELM and QRadar capabilities for governance and security.
- Completed
Wind and pharma data requests sent
IAIRO requested sanitised industrial time-series data and defined the leading failure-mode contexts; production data delivery is not yet evidenced.
- Completed
Joint architecture and pilot workshop
The teams aligned the platform roles, leading sectors, data options, and three-month proof objective.
- Completed
Director ICT roadmap meeting
The programme met Director ICT Kavita Shah (IAS) to advance the Industrial AI CoE roadmap.
- Completed
Infrastructure blueprint submitted
The consolidated compute and storage plan was shared with Gujarat DST for guidance on next steps.
- In review
IBM software-access review opened
Brand Legal and ISA Legal discussions began for the required Maximo, QRadar, and ELM access; the supporting document is prepared and under review.
- Completed
Training-data specification prepared
The modelling team defined the minimum IBM package: consistently sampled time-series readings and normal operating ranges for every feature.
- Outcome pending
MSME and NPC data-access session scheduled
A follow-up at the MSME office was planned to progress industrial data access, an NPC workshop, and use-case access; the outcome is not recorded in the reviewed material.
- Completed
i4Gujarat opportunity set shared
IAIRO shared the SIM understanding note and industrial challenge-problem set with IBM.
- Open
Funding position reviewed
The weekly tracker continued to record the IBM Lab / Industrial AI CoE funding route as under discussion.
Current position
What remains open
The programme has a defined solution frame and pilot pathway. The next gates depend on partner decisions, governed data, infrastructure guidance, and measured proof.
First customer-backed pilot
Wind assets and pharma quality remain the leading candidates. A final customer, accountable leads, and primary operational outcome are not yet evidenced.
Governed production data
The request and modelling schema are complete. Dataset delivery, consent, anonymisation, retention, and transfer controls still need confirmation.
Infrastructure allocation
The consolidated baseline was submitted to Gujarat DST on 2 September. Approval, allocation, and provisioning are not yet evidenced.
Live POC and measured result
No live Maximo–SAMVIT integration, recorded demonstration, measured result, or acceptance decision is yet evidenced.
Funding and commercial route
As of the 14 September tracker review, the funder, amount, commitment, and delivery route remained unconfirmed.
Software access and governance
IBM legal review for Maximo, QRadar, and ELM access has started. Partners must also settle IP, data, security, hosting, support, and commercial responsibilities.
Evidence boundary: completed means the activity or document is recorded in the reviewed material. It does not imply funding, infrastructure, production deployment, or customer acceptance unless explicitly stated.
Next phase
Convert alignment into evidence
The programme now moves from design to a tightly scoped proof: one customer context, one approved dataset, one end-to-end workflow, and measurable results.