Reinventing BOM decision-making by unifying engineer-grade analysis, design-context awareness, and procurement-level supply intelligence

Wizerr AI today introduced the Agentic BOM Engine, powered by Wizerr’s patent-pending component intelligence engine (ELX). ELX reads and interprets complex component datasheets with engineer-level precision and scales that capability to millions of components, turning unstructured documents into AI-transformed, reasoning-ready data for multi-agent workflows across the electronics manufacturing value chain.

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Wizerr AI's multi-agent BOM Optimizer blends deep engineering knowledge with procurement insights to uncover multi-sources, suggest technical merges, and answer real-time questions, helping teams improve BOM health and accelerate design-to-source decisions.

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. Most teams rely on part catalogs with basic spec data that do not reflect how components behave in real systems. This slows decisions, increases redesign risk, and weakens multi-source resilience.

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 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 Vamsi P, Sr. Director, AI and Data, Seagate Technologies.

The Agentic BOM Engine delivers 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, helping 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. “It introduces the intelligence layer that allows AI to contribute meaningfully to hardware decisions.”

Key Capabilities

• BOM scrubbing and optimization: Clean and optimize every component with engineer-level reasoning
• Engineer-grade alternates: Pin-mapped and spec-validated replacements generated through deep analysis
• Multi-source strengthening: Detect single-source exposure and surface equivalent alternates
• Cost visibility: Highlight cost concentration and reveal high-value alternatives
• Procurement-aware intelligence: Combine external supply signals with internal sourcing data
• Component Chat: Query any part for specs, risks, constraints, or alternates without opening a PDF

Key Features

• Agents for electrical, packaging, lifecycle, reliability, and compliance reasoning
• Design-Context Awareness ensuring alternates align with real architectures
• Procurement-Aware Intelligence using live availability and risk signals
• Powered by NVIDIA NIM models and NVIDIA NeMo Guardrails

“Software had its AI moment. Hardware’s is now arriving. 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,” said Avinash Harsh, CEO of Wizerr AI.

Organizations seeking to bring AI into their BOM and component intelligence workflows can connect with Wizerr at https://wizerr.ai.

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"Software had its AI moment. Hardware’s is now arriving. 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,” Avi Harsh, CEO.