SourceOptima
AI-driven analytics for sourcing, supply chain, and component intelligence
Transforms mechanical and supply chain data into instant, actionable insights. Uncovers hidden risks, cost anomalies, and inefficiencies across global supply chains.
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What SourceOptima does
SourceOptima is an AI-driven analytics platform that transforms mechanical and supply chain data into instant, actionable insights. It enables sourcing and operations leaders to uncover hidden risks, cost anomalies, and inefficiencies across global supply chains — without dashboards, consultants, or IT integration.
The Problem It Solves
Sourcing and operations leaders face the same recurring pain.
Fragmented supply chain data slows decision-making
Late detection of supplier risk and cost anomalies increases operational costs
Duplicate SKUs and phantom inventory reduce efficiency
Manual data consolidation and reporting are time-consuming and error-prone
Key Capabilities
Supplier risk and concentration analysis with instant heatmaps
Detection of cost outliers and process inefficiencies
Duplicate SKU and phantom inventory identification
AI-driven CAD and document analysis for part and design data
Automated compliance validation and predictive supplier checks
End-to-end workflow automation from data ingestion to report generation
From data to decisions
SourceOptima uses AI and computer vision to read and correlate CAD, BOM, QA, and ERP data.
Data Ingestion
Upload design, ERP, and supplier data effortlessly.
AI Analysis
LLMs and CNNs detect patterns, GD&T symbols, and anomalies.
Insights & Reporting
Playbooks generate risk, savings, and compliance reports instantly.
Automation
Fully automated pipeline delivers actionable intelligence with minimal human intervention.
Built for every stakeholder
Product Engineering Teams
- ▸ Optimize make/buy and design choices early
- ▸ Component intelligence at the design phase
- ▸ Faster trade-off decisions
Sourcing & Procurement Leaders
- ▸ Evaluate suppliers with live metadata and benchmarks
- ▸ Component trade-off analysis
- ▸ Risk-aware vendor selection
Costing & Value Engineering
- ▸ Automate estimation and benchmarking
- ▸ Real-world vendor cost comparison
- ▸ Tariff and cost-impact modelling
Manufacturing & Operations Heads
- ▸ Standardize materials across plants
- ▸ Optimize component selection across product lines
- ▸ Reduce SKU proliferation
What you get
Accelerated Decision-Making — slash weeks of manual effort into hours
Cross-Functional Data Alignment — unify CAD, sourcing, and ERP in one framework
Smarter Cost Control — vendor and tariff comparison instantly
Better Design-to-Supply Flow — clarity from design to sourcing without extra tooling
GraphLenz Solution
The data visualization and analytics layer of SynovAI MAP
Project brief
Develop and deploy a unified analytics interface integrating multi-source data, enabling GenAI-powered insights and Python-based visualizations through a React frontend.
Our scope
- ▸ Connect SQL, Excel, APIs, cloud storage
- ▸ GenAI interface for Q&A and graphs
- ▸ Python libraries for complex plotting
- ▸ React frontend for fast, clean interaction
Impact
85% reduction in dashboard request cycle time
3x increase in data usage by non-technical staff
12+ datasets accessed without SQL queries