Manufacture faster, trace every unit and cut costs for your EMS with Fynd Forge

An AI-native manufacturing OS for Electronics Manufacturing Services (EMS) to unify planning, procurement, hardware integration, assembly, quality, and shipping

How Forge powers your electronics shop floor

AI-native capabilities that solve problems at every step: planning, stocking, hardware integration, assembly, quality, and shipping

Plan

Capacity-aware schedules for SMT, testing, and packing
Auto-replan instantly if reflow ovens or SPI machines go down
Lock mBOM and routing by product variant
Real-time visibility on ship-date impact due to disruptions

Procure to pay

3-way match (PO -> GRN -> invoice) so you pay only for received components
FEFO/FIFO issuing so older/expiring lots feed SMT lines first
Approved vendors and part alternates auto-suggested on shortages
Live ASN tracking with supplier nudges to prevent line stoppages

Hardware integration

Connect SPI/AOI/X-ray, reflow, and PLCs for live data & actions
Real-time machine/test data capture
Auto-detect process deviations & defects
Trigger instant interlocks & corrective steps

Build & assemble

Mandatory step-by-step assembly scans at each station
Component barcode binding to individual PCBs/devices
Automatic interlocks route failed checks to rework stations
Controlled changeovers - programming, stencil, torque settings

Quality & traceability

SPI/AOI/X-ray inspection data bound to serial numbers/IMEIs
Automated capture of FATP, burn-in, and OQC per device
Audit-ready electronic device history with secure approvals
Complete traceability: component lot -> PCB -> final product -> shipment
Instant unit-level history lookup for defect codes

Repair & rework

Guided diagnostics leveraging known defect databases
Mandatory re-inspection workflows post-repair
Material Review Board (MRB) tracking with quarantined bad parts
Warranty returns tied clearly to unit genealogy

Pack & ship

Barcode-driven packing workflows: unit -> carton -> pallet
Region-specific labeling compliance (BIS, CE, FCC, IMEI/MAC)
Automatic creation of ASNs and e-invoices from packing scans
Precise dock and routing assignments to avoid shipment errors

Lead with clarity

Daily AI brief: FPY performance, OEE stats, shortages, late orders
SPC, downtime, MTBF/MTTR dashboards with early alerts
Natural language queries for shop-floor insights
Real-time WIP monitoring; proactive bottleneck alerts
Root-cause traceability for defects - component lot, station, operator

Results & scale you can trust

↓ 90%

planning cycle time

↑ 3-5%

throughput

↓ 50%

vehicle capacity utilization

↓ 80%

audit cycle time

↓ 30-50%

unplanned downtime

Why Fynd

AI-native from day one

Agentic workflows, not forms. Plans auto adjust in real time as supply/capacity changes

Operator-first UX

Clear work instructions, station KPIs, and zero-friction scans

Deployment options

Deploy cloud, on-prem, or hybrid - plant-ready with edge connectivity

Complete genealogy, zero-gap audits

From component lot -> PCB -> device SN/IMEI -> carton -> shipment

Fast integrations

API-first with equipment, ERPs (SAP/Oracle), WMS/TMS/HRMS

Secure and scalable

Azure cloud, observability, and auditability built in

Time-to-value

Go live in phases - planning/quality first, then repair, ASN, and predictive maintenance

Enterprise-grade security

Azure-native, RBAC, audit trails, KMS, JWT auth

Agentic use cases

Real-world manufacturing scenarios, solved proactively by Forge AI

Continuous planning instead of batch cycles
Realistic scheduling matching actual capacity
Instant auto-replanning on disruptions
AI proposals with human-in-loop approvals

Frequently asked questions

How is Forge different from a traditional MES?

Forge is an AI-native OS: perpetual planning, agentic workflows, unified data thread, and closed-loop quality - beyond forms-based MES.

Can we integrate our existing ERP and shop-floor equipment?

Yes. API-first integrations with SAP/Oracle and IIoT gateways for SPI/AOI/X-ray/reflow, PLCs, and scanners.

Do you support serialization and regulatory labeling?

Yes. SN/IMEI/RSN generation, label verification, binding/comparison rules, and compliance-ready audit trails.

What's a typical rollout?

Phase 1: planning/traceability; Phase 2: quality + repair; Phase 3: scan-pack/ASN and predictive maintenance.

Is this multi-plant and multi-product?

Yes. Sites/lines/stations modeled with role-based access, shared templates, and plant-level KPIs.

How do you handle data security?

RBAC, JWT auth, encryption, audit logs, and Azure-native services (KMS, Event Hub, Synapse) for governed analytics.

Manufacture faster, trace every unit and cut costs for your EMS with Fynd Forge

How Forge powers your electronics shop floor