Wizerr AI’s multi-agent BOM Optimizer is reported to blend deep engineering knowledge with procurement insights, helping teams improve BOM health and accelerate design-to-source decisions. (Image courtesy Wizerr/Business Wire)
Wizerr AI is working to transform decision making for bills of material by unifying engineer-grade analysis, design-context awareness, and procurement-level supply intelligence.
Editor’s note: The article below also appears in the Software & Analytics section.
SAN FRANCISCO—The physical world is built on real components, but the component layer remains one of the hardest and most fragmented parts of hardware development. Critical intelligence is still buried in PDFs, tribal knowledge, and siloed tools for compliance, lifecycle, reliability, and risk, according to a release from Wizerr AI.
“Most teams rely on part catalogs with basic spec data that do not reflect how components behave in real systems,” the company stated in the release. “This slows decisions, increases redesign risk, and weakens multi-source resilience.”
To address this challenge, Wizerr AI recently introduced its Agentic BOM Engine. It’s powered by Wizerr’s patent-pending component intelligence engine (ELX), which reads and interprets complex component datasheets with engineer-level precision and scales that capability to millions of components. This turns unstructured documents into “AI-transformed, reasoning-ready data for multi-agent workflows across the electronics manufacturing value chain,” the release stated.
Backed by early-stage investors focused on vertical AI and deep tech (including Tau Ventures, Willpower Ventures, Hyperscope, Stage2 Capital, and Cadenza Ventures), Wizerr has built a what it described as “a unified component intelligence layer that merges deep datasheet intelligence, lifecycle signals, ratings, risk, and availability into one actionable workflow.”
“Wizerr shows how vertical AI can reimagine critical workflows across the electronics value chain,” said Seagate Technologies Senior Director-AI and Data, Vamsi P, in the release.
The Agentic BOM Engine is reported to deliver engineer-grade analysis and procurement-grade intelligence to every BOM decision. Teams get validated alternates, supplier-merge opportunities, and clear visibility into cost and sourcing risks in minutes. This is said to help engineering, sourcing, and reliability teams make faster, better-aligned decisions from design through production.
“We transform messy component PDFs into AI-ready data that engineers and AI systems can act on instantly,” said Onzali Suba, co-founder and principal architect of Wizerr, in the release. “It introduces the intelligence layer that allows AI to contribute meaningfully to hardware decisions.”
According to Wizerr AI, the Agentic BOM Engine offers several key capabilities, including cost visibility, which highlights cost concentration and reveals high-value alternatives, and procurement-aware intelligence, whereby external supply signals are combined with internal sourcing data.
“Software had its AI moment. Hardware’s is now arriving,” said Avinash Harsh, CEO of Wizerr AI, in the release. “With Wizerr’s design-to-source agentic workflows powered by our AI-ready component intelligence layer, we aim to help teams build faster, smarter, and far more resilient products.”