Turn engineering specs into 10% savings
Without hiring 15 cost engineers
Most tools orchestrate. Parsio reads BOMs, drawings and quotes upstream to optimize what you buy.
The profit erosion hidden in your specs
For a €1Bn manufacturer, missed savings erase typically €50M profit every year.
80% of cost hides in BOMs, tolerances and specs no one can review and optimize at scale.
Data chaos
Specs in STEP/PDF, prices in ERP, Excel as the only bridge
Capacity wall
10–15 cost engineers you will never hire, computational power you don't have
Tribal knowledge
Expertise stuck in a few head cannot scale across 10,000+ SKUs
Zero visibility
Tight specs create single-supplier dependency and kill leverage
Built with manufacturers managing €3Bn+ in direct spend
We built Parsio inside factories managing €3Bn+ in direct spend and facing procurement complexity, shoulder‑to‑shoulder with CPOs and engineers.
The result: a product that finds savings in weeks, not quarters.
Backed by the leading AI in manufacturing startup studio with 3,800 factories empowered
From specs to savings
Parsio recovers 3–15% of direct spend by reading the engineering complexity that legacy tools can't see.
Step 1 – Connect engineering and procurement
Ingest BOMs, drawings, specs, ERP history, quotes and contracts into an AI‑native graph.
Get a single, live model of what you buy, how it’s specified and who you buy it from.
Step 2 – Encode tribal knowledge into institutional intelligence
We transform the engineering and sourcing expertise locked in your experts' heads into structured rules the AI can reason with — cost drivers, spec tolerances, sourcing heuristics. Every insight is grounded in your reality. Every recommendation is fully explainable and stored as institutional knowledge.
Step 3 – Detect waste and missed savings
Parsio analyzes the graph to flag over‑spec parts, duplicates, SKU sprawl, price drift and supplier lock‑in.
You get a ranked savings backlog by category, site and supplier with quantified impact for each lever.
Step 4 – Encode expertise and simulate scenarios
Turn your best buyers’ and engineers’ rules into reusable playbooks that run on the whole portfolio.
Test spec changes, consolidation, re‑sourcing and design‑to‑cost scenarios in minutes, with clear cost, risk and margin impact
Step 5 – Orchestrate actions and protect gains
Generate RFQs, spec review packs and negotiation cases directly from the opportunity backlog.
AI agents then monitor specs, prices and contracts continuously to prevent leakage and keep 3–15% savings locked into your P&L.