Plasiv provides a cloud‑native platform that consolidates process planning, time‑study data, line‑balancing and discrete‑event simulation into a unified graph database. Its AI engine predicts bottlenecks, auto‑optimizes line configurations, and delivers real‑time KPI dashboards with secure API and FHIR‑compatible exports. The solution is offered as a subscription SaaS for OEMs and contract manufacturers seeking end‑to‑end production planning and validation across multiple sites.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing organizations rely on fragmented spreadsheets, isolated line‑balancing tools, and siloed time‑study files, forcing engineers to manually reconcile changes across plants. This disjointed workflow creates 3–8 % CapEx/OpEx leakage and up to 36 % non‑value‑added labor time.
Solution
Plasiv delivers a cloud‑native manufacturing intelligence platform that consolidates process planning, pre‑determined time standards, line balancing, discrete‑event simulation, factory data validation, and lean‑manufacturing analytics into a single, continuously synced system. Users import existing Excel PORs, time‑study data, and line designs, after which the platform generates a unified process graph that feeds an AI‑driven intelligence layer. The AI layer predicts bottlenecks, recommends auto‑optimized line configurations, and issues real‑time alerts when key performance indicators drift from plan. Results are visualized in role‑based dashboards that span program‑level cost waterfalls to station‑level OEE metrics, and can be accessed via secure API or FHIR‑compatible exports. Because the solution is delivered as SaaS with SOC 2 Type 1 compliance, enterprises can deploy the full stack in days rather than quarters and scale across multiple sites without additional infrastructure.
Target Audience
Primary customers are industrial and manufacturing engineers, operations managers, and continuous‑improvement leaders at OEMs and contract manufacturers that need end‑to‑end production planning, simulation, and validation across multiple plants.
Features
- Unified data model that ingests Excel PORs, MODAPTS time studies, and line designs into a single graph database
- AI‑powered time‑study engine that automatically extracts cycle times and classifies activities using computer‑vision analysis
- Auto‑balancing algorithm that generates optimal line configurations while respecting takt, labor, and equipment constraints
- High‑fidelity discrete‑event simulation engine for “plan‑then‑run” scenario testing with deterministic and stochastic inputs
- Continuous validation service that streams shop‑floor data, compares actual KPIs to plan, and triggers predictive bottleneck alerts
- Real‑time KPI dashboards covering OEE, throughput, cost‑per‑unit, and risk heat maps, customizable per role (engineer, manager, C‑suite)
- Enterprise‑grade security: SOC 2 Type 1 compliance, SSO, role‑based access control, audit trails, and API/Excel import‑export capabilities
- Multi‑site support with version control and change‑management workflow to synchronize updates across global factories