Every manufacturer thinks they know their #1 problem. We connect your ERP, quality, maintenance, and operational data to show you what it actually is — and how to solve it with insights already buried in your systems.
50% of what AIBI does is data cleansing, scrubbing, and scoring. Most AI projects fail because they layer intelligence on top of bad data. We don't just query your systems — we profile every source, flag the gaps, and score every data point before AI touches it. You get answers you can trust because the data behind them has been vetted.
AIBI runs 100% on-premise — on your hardware, behind your firewall. No cloud. No external API calls. No data egress. For manufacturers who can't share data with the cloud (defense, aerospace, regulated industries), this isn't a nice-to-have. It's the only option. AI that works inside your walls, on your terms.
The scrap report is in Epicor. The root cause is in a maintenance log. The fix is in someone's head. By the time you find all three, the shift is over and you've made no progress.
Duplicate part numbers. Stale maintenance records. SPC data with 55% nulls. Your team makes decisions on data they can't trust — and the cost shows up in scrap, rework, and missed deliveries.
The machinist who knows LATHE-7 needs 15 minutes of warm-up after a bearing swap. The inspector who can hear a spindle going bad. That knowledge isn't documented. When they leave, it's gone.
What if you could just ask?
And get an answer that pulls from your ERP, maintenance logs, and the operator who fixed it last time — in seconds, not hours.
Scrap rate for PN-4052 increased 340% (0.8% → 3.5%) since Jan 15.
Root cause analysis across 3 data sources:
Recommendation: Check LATHE-7 spindle alignment. Operator tip suggests 15-min warm-up cycle post-maintenance.
That answer pulled from 3 data sources in under 4 seconds — no SQL, no exports, no phone calls.
AIBI sits on top of your existing systems — no rip-and-replace, no migration project. It connects, cleans, analyzes, and answers.
Plugin architecture connects to any data source — ERP, quality, maintenance, tool management — through standardized connectors. No custom integration code.
Automated data quality profiling catches nulls, format drift, and anomalies before they reach analytics. Every data point gets a confidence score.
AI chooses the right approach for each question — SQL for numbers and trends, document search for procedures, knowledge base for tribal expertise. No wrong tool for the job.
Every response includes full citations and an execution trace. You see exactly which data sources were queried, what was found, and how the answer was assembled.
AIBI's autonomous orchestrator doesn't just search — it reasons. It chooses SQL for numeric trends, document retrieval for procedures, and knowledge base for tribal expertise. Every answer shows exactly where the data came from.
AIBI conducts structured interviews with operators at the machine — capturing setup tips, failure modes, and institutional knowledge in a searchable, verified format.
AIBI automatically profiles every data source — flagging null rates, format inconsistencies, outliers, and freshness issues. You see data quality scores before any AI touches the data.
Based on our analysis of manufacturing data environments, companies with fragmented systems typically see 10x+ ROI when data quality and AI analytics are properly implemented — through reduced scrap, faster root cause analysis, and fewer hours spent hunting for data.
We're currently onboarding our first pilot partners this quarter. Early partners get hands-on involvement in shaping the platform and priority access to new capabilities as they ship.
Apply for Early AccessI've assembled the ultimate team to perfectly complement my own skillset and serve manufacturers. Together, we bring decades of experience across manufacturing operations, data systems, AI, and the shop floor realities that most technology companies never see.
AIBI runs entirely on your infrastructure. No cloud. No external API calls. No data egress. Defense-in-depth security with six layers of access control — designed for ITAR from day one, not bolted on after.
Runs on your hardware, behind your firewall. Air-gapped deployments fully supported.
If classification is unknown, access is denied. No data leaks through ambiguity.
ITAR clearance levels, department boundaries, and need-to-know enforced at the query level.
Every query, every data access, every answer — logged and traceable for compliance audits.
No custom integration code. AIBI's plugin architecture connects to any system with a SQL interface or API — usually in hours, not weeks.
Why Your Factory Has More Data Than Ever and Fewer Answers
16 chapters on why manufacturing data stays trapped in silos, why dashboards and ERP modules haven't fixed it, and what actually works. Written for plant managers, operations leaders, and the engineers who support them — no AI background required.
Get It on AmazonLet us run a free data quality assessment. We'll show you the state of your data and where your highest-value AI opportunities are — no installation required.