Today we are launching a rebuilt Accuris Supply Chain Intelligence. Here is what changed, why we changed it, and what your team can do with it now.
Critical teams have relied on our component data for decades to make decisions they have to defend later. That trust earned us the right to go further.
Today we set a new standard for Supply Chain Intelligence: data you can verify, and decisions you can defend.
The database is the foundation. Accuris is built on the world’s largest electronic component database, 1.3 billion+ records at 98%+ verified accuracy.
The alternatives in this category run about one billion records at 90%, and that percentage point gap shows up on every bill of materials you run. On a 500-part BOM, 90% accuracy leaves roughly 50 records you cannot rely on, and you will not know which 50 until something goes wrong.
Coverage at that scale takes decades of direct manufacturer relationships to assemble. Accuracy at that scale takes people who check the work. Neither can be bought quickly or scraped from the open web.
The second part is what we rebuilt on top of it: finding the risks that matter, weighing your options, and understanding the impact before you commit. That is what makes Accuris the decision layer for engineering and supply chain teams.
I set one requirement for this release. Every answer the platform gives you has to be one you can take into an audit, a customer review, or a program meeting and defend on the spot. That requirement decided what we built, and it decided what we left out.
What leading teams told us
Customers gave us a great deal of their time during this build: interviews, early access, working sessions, and feedback that was not always comfortable to sit through. We are better for all of it, and this platform reflects it.
One answer shaped it more than any other. When we asked engineering, procurement, and quality leaders what slows them down, they said component data changes faster than anyone can track it by hand, across thousands of parts at once.
We also commissioned a survey of 439 engineering and supply chain professionals in March 2026. 74% spend at least four hours every week monitoring bills of materials by hand. 62% find compliance violations only after the design phase. More than 80% have absorbed redesign work from an obsolescence event, at costs running from $250K into the millions.
You can’t control when a part is discontinued. You can control how early you see it and what you do next. We built the BOM Health Agent to monitor every part on every BOM continuously, and to tell you what a change touches before it reaches your design.
A BOM Health Agent that keeps watch
The always-on BOM Health Agent checks your bills of materials continuously for lifecycle, compliance, supply, and cost risk, then pushes the issues worth your attention to the top.
It forecasts obsolescence 12 to 36 months ahead of manufacturer announcements. That window is where the affordable resolutions live. Once a last-time-buy date passes, every remaining option costs more.
One customer has been running it since early access. Here is their feedback, in their words:
“We really weren’t doing any BOM compliance at the electronic component level before, because it was just too difficult to do. Now we can see it broken down between what’s compliant, what isn’t, and what’s not matched. We weren’t able to get that level of clarity before.”
I am grateful they put it that plainly, and the part I want to draw out is the third category. Knowing which parts the system could not resolve is as valuable as knowing which ones passed. It is also the category that usually goes missing.
Alternates, ranked and explained
When risk surfaces, you get qualified alternates in ranked order with the reasoning behind each one. Lifecycle, compliance, technical fit, availability, and cost all factor into the ranking, and you can see exactly how.
A recommendation you cannot interrogate is a recommendation you cannot act on. I was not willing to ship black-box recommendations. Every recommendation in this platform shows its work.
The search capability was rebuilt as well. Ask a question in plain language across 1.3 billion components and get an answer in seconds. When a component question does not have an obvious answer, AI-assisted research does the digging.
Model the change before you make it
You can model the downstream impact of a proposed component change before committing to it, complete bulk swaps in a single action, and keep version history and decision traceability across every revision.
Six months later, when someone asks why a part was swapped and who approved it, the record is there. Reconstructing that from memory and email threads is how a defensible decision turns into an argument.
Engineering, procurement, and compliance all benefit from the same thing here. Teams move faster with the audit trail intact.
Accuracy comes from people, not only pipelines
Our data foundation took more than 35 years to build. Direct manufacturer relationships, authoritative source materials, and curation by professionals who came out of component engineering and know what a wrong parametric value costs three programs downstream.
Automated ingestion gives us scale. Our curation team gives us 98%+.
I name them here on purpose. They are the reason I am willing to publish an accuracy number at all, and I would rather publish one and be held to it than describe our data with an adjective.
That work also depends on the manufacturers and publishers who share their information with us directly. Those relationships took decades to earn, and none of us here take them for granted.
Deployed where your security policy allows
Supply Chain Intelligence is available three ways:
- Cloud. An AI-powered platform for continuous BOM analysis and decision support.
- Embedded. Integrations that bring Accuris intelligence into your PLM, engineering, and enterprise workflows.
- On-premises. A full deployment that keeps component data and BOM workflows behind your firewall, for data sovereignty, ITAR, CUI, and air-gapped environments.
The same authoritative intelligence runs across all three. Teams on the most restricted programs work from the same data as everyone else.
What it adds up to
Component obsolescence exposes engineering teams to design rework costs of $250,000, to even millions, per event. Identifying and resolving an end-of-life issue before it disrupts a program saves up to $15,000 in manual work per issue. Accuris customers spend up to 50 percent less time searching for parts and alternates.
Those numbers are real and they are worth having. What they represent is worth more: a decision you can explain to an auditor, a customer, or a program review, months after you made it.
That is the standard we built this platform to meet. Hold us to it, and keep telling us where we fall short. That is how this release got better, and it is how the next one will.
To every customer who gave us their time, and to the teams across Accuris who spent the past year on this, thank you. Supply Chain Intelligence, reengineered, is available today for new and existing customers.
Explore the platform or ask your Accuris team to show you which capabilities are live on your account.
Sources
- Fuld & Company, Accuris Electronic Parts Intelligence Survey, March 2026. N=439 engineering and supply chain professionals. Statistics cited: 74 percent spend four or more hours per week monitoring BOMs manually; 62 percent discover compliance violations after the design phase; design rework costs of up to $250,000 per obsolescence event.
- Accuris platform data, 2026. Statistics cited: 1.3 billion electronic component records; 98%+ verified accuracy; obsolescence forecasting 12 to 36 months ahead of manufacturer announcements.
- Accuris customer results. Statistics cited: up to $15,000 saved per resolved end-of-life issue; up to 50 percent less time spent searching for parts and alternates.
