Manufacturing engineers spend more time hunting for data than using it. AIBI connects every system on your floor — ERP, quality, maintenance, tribal knowledge — so asking a question actually gets an answer.
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 tribal 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.
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.
We'll connect to one of your real data sources live and show you what AIBI can do. On your hardware. Behind your firewall. No cloud, no contracts, no pressure.