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Kongu AI Sprint

AI & ML Lab for Coimbatore Industry

Quality vision, predictive maintenance, and demand sensing for textile and engineering leaders.

City

Coimbatore

State

Tamil Nadu

Tier

Tier-3

Languages

English, Tamil

30 days

to calibrated POC

2x

first-pass quality

Edge-ready

vision runtime kits

Local Pain Points We Fix

Powered by AI & ML Solution Engineering

Cotton quality variability hits yield

Spindle vibration causes unplanned downtime

Pricing teams lack SKU-level demand forecasts

Delivery Pod Snapshot

  • Support Center: Remote-first pod with quarterly Coimbatore and Tirupur immersions
  • Industries Served: Textile manufacturing, Automotive spares, Foundries, EdTech
  • Service Area: Coimbatore, Tirupur, Erode, Salem, Madurai, Hosur, Karur

No domain or deployment headaches—we host on SRIT subdomains and managed servers, offer a 2-month free trial on every product, stay on-call for support, and keep pricing lower than typical market rates.

Execution Blueprint

How We Deliver in Coimbatore

Vision models detecting yarn faults with less than 2% false positives, tuned on local mill datasets.

Edge AI appliance monitoring spindle health and alerting maintenance teams on WhatsApp.

Demand sensing models combining Tirupur marketplace data with SRSyncoreERP sales for SKU planning.

Deliverables

AIService

AI use-case sprint

Model build + fine-tune

MLOps rollout

Responsible AI guardrails

Differentiators

Foundry-ready datasets

Edge AI playbooks

Responsible AI guardrails

Regulatory Focus

  • Tamil Nadu MSME Policy 2021
  • TN Guidance textile incentives
  • AEPC export compliance rules

Trust Signals

  • Tamil-speaking solution leads
  • SIDCO cluster partnerships
  • WhatsApp war rooms during go-lives

Local Impact

Spindle vibration detection

Edge inference plus SRSyncore alerts let a foundry-textile group schedule maintenance before failure.

Downtime down 28% Outcome delivered with SRIT pods

FAQs

Questions from Coimbatore

Do you deploy on factory edge GPUs? +

Yes. We package TensorRT/ONNX runtimes for low-latency inference within mill networks.

Can you work with limited datasets? +

We bootstrap with transfer learning and run data labeling workshops with SME reviewers.

How is ROI tracked? +

Each AI sprint defines baselines, shadow runs, and uplift dashboards tied to ERP KPIs.

Next Step

Activate AI & ML Solution Engineering in Coimbatore

Ready-made playbooks, bilingual pods, and SRIT-managed hosting keep your rollout risk-free. Let's co-design the first 90-day sprint.

  • Discovery workshop in 5 business days
  • Hybrid onsite + remote adoption pods
  • Hosted infrastructure + 2-month trial