We Measure What's Costing Your Plant — Then Build the AI to Stop Them.

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The average Indian manufacturing plant loses 10–20% of revenue every year - most have never measured their own number.

Triny builds AI systems that eliminate downtime, reduce rejections, and cut production waste.

THE TRINY ENGINEERING PROCESS:

STEP 01 FREE · 45 MINUTES PLANT DISCOVERY CALL We ask specific questions about your production process — not your business goals. Rejection rates, downtime frequency, shift patterns, existing systems. You talk. We listen and take notes. No pitch. No proposal. No deck.

STEP 02 PAID ENGAGEMENT [OUTCOME: DETAILED WRITTEN REPORT] MANUFACTURING AI READINESS ASSESSMENT We audit your plant across five dimensions: equipment downtime, quality rejection, manual process bottlenecks, material yield and waste, and real-time visibility. Every finding is tied to a rupee figure.

STEP 03 SOLUTION DESIGN MILESTONE PAYMENTS — NOT UPFRONT SYSTEM ARCHITECTURE & PROPOSAL We design an AI system configured specifically for your plant — your equipment type, your data sources, your shift patterns. The proposal contains one number that matters: what the system costs versus what your plant recovers. Fixed scope. Fixed price. Defined milestones. You know every number before signing anything.

STEP 04 8–12 WEEKS · FIXED DELIVERY BUILD, INTEGRATE AND DEPLOY We connect the system to your existing plant infrastructure — SCADA, ERP, shop-floor data — without disrupting live production. Your team is trained before go-live. A defined go-live date is written into the contract on Day 1. If a milestone is missed on our side, the next payment does not move. WEEKLY PROGRESS UPDATES · MILESTONE-BASED PAYMENTS · LIVE PRODUCTION INTEGRATION · TEAM TRAINING INCLUDED

STEP 05 ONGOING · MONTHLY RETAINER MANAGED PLANT OPERATIONS AI After go-live, we monitor system performance against the KPIs we agreed at the start — OEE, rejection rate, uptime, yield. We retrain models as your production conditions change, resolve alerts before they become failures, and conduct a quarterly performance audit with documented before-vs-after numbers. The system does notsit on a server. It runs in your plant, every shift.

DIAGNOSE FIRST. BUILD ONLY IF IT MAKES SENSE.

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TRINY

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