When Accuracy Matters

Most component databases aggregate. Accuris verifies. Every data point is confirmed at the source, not just collected. Machines aggregate and normalize data across 1.3B+ components at scale. A dedicated Accuris team then works directly with manufacturers and authorized suppliers to validate lifecycle, compliance, and parametric updates. Human experts resolve discrepancies and review the edge cases automation can’t settle.

In electronics, the cost of a wrong decision – a failed audit, a redesign, a line-down event – far exceeds the cost of moving slowly, yet generic AI trained on web data will confidently hallucinate part numbers, compliance flags, and supplier matches.

Accuris grounds its AI in a curated database of 1.3B+ verified components with unified technical, lifecycle, compliance, and availability attributes, so every recommendation traces back to authoritative manufacturer records rather than statistical guesses. That gives your team the accuracy and auditability that regulated industries require, and eliminates the data-quality failure mode that derails most AI adoption in the supply chain.

Part databases typically degrade at the tail – obscure, passive, and legacy parts – and a record that was accurate last quarter may be wrong today, which is precisely where BOM risk hides.

Accuris maintains greater than 98% accuracy through decades of manufacturer-direct sourcing relationships (datasheets, PCNs, EOL notices) rather than scraped distributor listings, structured extraction into normalized parametric schemas, human curation layered over automated ingestion, and continuous updates driven by PCN Intelligence. The result is accuracy where it matters most: the lifecycle status, compliance attributes, and parametrics of the parts actually in your BOMs.

Two parts with near-identical descriptions can differ in voltage rating or RoHS status in ways that break a design, and AI that matches on name similarity can’t see the difference.

Accuris derives alternates from structured parametric comparison instead: pre-selected form-fit-function (FFF) and attribute-based close alternates matched on the parameters that determine real interchangeability – electrical ratings, tolerances, package and footprint, temperature range, and compliance certifications. The system shows its work, surfacing which attributes match and which diverge, so millions of candidates shrink to a handful of defensible options while the final fit-for-purpose decision stays with your engineers.

Neither extreme serves you well: static rules go stale, while uncontrolled retraining introduces drift and breaks the reproducibility that audits demand – a compliance answer given in March must still be defensible in October.

Accuris takes a governed approach: AI anchored to a continuously updated, verified dataset, so outputs refresh as the underlying data changes (new PCNs, lifecycle transitions, regulatory updates) without the model free-associating. Explainability, confidence scores, and traceable logic paths mean any output can be reproduced and defended.

No two companies run the same part-approval, NPI, or obsolescence process, and many teams want to build internal AI workflows on a trusted data layer rather than adopt another packaged application.

Accuris Parts API Integration serves exactly that need, connecting your ERP, PLM, PDM, and EDA systems to the live database of 1.3B+ components and delivering technical, lifecycle, compliance, and supply chain data programmatically – so you can feed verified component data into your own pipelines, automation, and AI agents. Customers have reported roughly 50% reductions in time spent searching for parts and identifying alternates after integration.

Regulatory change is the fastest-moving risk in electronics – REACH SVHC lists update twice a year, PFAS restrictions are expanding across jurisdictions, and no team can manually track it all across thousands of BOM lines.

Accuris maintains compliance data as living content across the major regimes (RoHS, REACH, PFAS, TSCA, Prop 65, EU POPs, plus ECCN and HTS trade codes), mapped to individual part records and updated as regulations change. Because the AI reasons over this maintained compliance layer rather than static training data, a new substance restriction propagates to part-level and BOM-level assessments immediately, and BOM Intelligence proactively flags newly non-compliant parts in your existing designs – with each determination citing the regulation and substance data behind it.