AI-powered automation for manufacturing
Rebolt connects your ERP, MES, and PLM systems and deploys AI agents that automate quoting, read drawings into your systems, optimize production, and run the operational work across your entire organization.
Deploy AI incrementally across manufacturing workflows
Every department has their own ways of working. Rebolt deploys tailor-made AI agents that handle that work how you do it, not a one-size-fits-all solution.
Blueprint Automated Intake
DWG-4821
Hydraulic manifold — Rev C
14 parts extracted → ERP
DWG-4823
Turbine blade — Inconel 718
8 parts extracted → ERP
DWG-4824
Conveyor frame weldment
31 parts extracted → ERP
DWG-4822: 23 parts extracted, matched to existing catalog. 4 new items created in SAP. BOM linked to WO-7120.
Extracted 14-part BOM from DWG-4821 and inserted into SAP
8 min ago
Demand forecast updated — SHAFT-A12 up 27%, triggered MRP run
22 min ago
Identified $1.84M surplus inventory across 3 divisions
1h ago
Root cause linked: NCR-812 correlated to MC-103 tool wear at 8,200h
2h ago
Auto-generated PO for Nippon Steel Inconel 718 — 2,400 kg
3h ago
Demand Forecasting & Scenario Modeling
94.2%
OEE
1.8%
Scrap rate
12.4k
Units / day
| SKU | Current | Forecast | Delta |
|---|---|---|---|
| SHAFT-A12 | 1,240 | 1,580 | +27% |
| GEAR-B07 | 860 | 790 | -8% |
| HOUS-C03 | 420 | 610 | +45% |
| BEAR-D14 | 3,100 | 3,400 | +10% |
Sensor data + promotion calendar indicate SHAFT-A12 demand spike in Q2. Scenario model suggests pre-building 340 units to avoid overtime.
Working Capital & Inventory
$14.7M
Total inventory value
$1.84M
Identified surplus
Machining Div.
Value: $4.2M
Assembly Div.
Value: $3.8M
Fabrication Div.
Value: $2.9M
Machining Div. holds $620K in slow-moving 4140 bar stock. Scenario model shows reallocation to Fabrication Div. reduces next PO by 40%.
Quality & Failure Analysis
34
Open NCRs
4.2h
Avg downtime / wk
-28%
Defect trend (90d)
NCR-812
Shaft A12 — Surface finish
Root cause: Tool wear on MC-103
NCR-809
Housing C03 — Bore tolerance
Root cause: Fixture alignment drift
NCR-815
Gear B07 — Hardness spec
Root cause: Heat treat cycle deviation
Causal analysis complete: NCR-812 surface finish failures correlate 94% with MC-103 tool hours >8,000h. Component testing scheduled — tooling swap recommended at 7,500h to prevent recurrence.
Supplier Yield & Raw Material Pricing
| Supplier | Material | Yield | Price | Grade |
|---|---|---|---|---|
| ArcelorMittal | 316 Stainless Steel | 97.2% | $3.42/kg | A |
| KMetal Corp | 316 Stainless Steel | 94.8% | $3.18/kg | B+ |
| Nippon Steel | Inconel 718 | 98.1% | $48.60/kg | A+ |
| POSCO | 4140 Alloy Steel | 93.1% | $1.64/kg | B |
KMetal Corp 316SS is $0.24/kg cheaper than ArcelorMittal with 2.4% lower yield. Net savings of ~$180K/yr at current volume. PO recommendation generated.
Rebolt is the manufacturing OS
that adapts to your business
—not the other way around
How it works
Your company's AI-twin
Holocron is a Company Memory Graph that captures how your organization actually operates.
It connects your systems, documentation, processes, and human expertise understanding the full context, so AI agents can do the work the same way your best people would.
Systems of record
SAP, Oracle, Epicor, JobBOSS, MES platforms, CAD/CAM tools, spreadsheets: every system your teams rely on, connected and synchronized in real time.
Documentation and procedures
Engineering drawings, BOMs, work instructions, quality specs, compliance requirements: accessible instead of buried in folders and email chains.
Expertise of your best people
The judgement your best engineers, production managers, and quality leads have built over decades: captured and available to every person in the company.
Every automation runs on top of this knowledge layer, so nothing follows generic rules. Everything follows your rules.
Sales & CPQ
Quoting custom-manufactured parts is slow, error-prone, and relies on tribal knowledge. Rebolt automates configure-price-quote workflows by connecting your price catalogs, BOMs, and historical quotes so your team responds faster with accurate margins.
Automated quote generation from RFQs
Parse incoming RFQs, match to catalog items, and generate quotes with correct pricing and lead times
Price catalog management (CPQ)
Maintain dynamic pricing based on material costs, volume breaks, and customer-specific agreements
Historical quote benchmarking
Compare new quotes against past wins and losses to optimize hit rates
Drawing-to-quote extraction
Read engineering drawings to auto-populate quote line items, materials, and operations
Margin analysis per job
Calculate true cost-to-serve including overhead, tooling, and setup time
Become the industry leader
Win more deals by turning around quotes in hours instead of days. Manufacturers using AI-driven CPQ consistently outpace competitors on speed, accuracy, and volume.
Earn more money
Catch margin leaks before they compound. Automated cost tracking and real-time production analytics recover margins that typically bleed through manual processes, scrap, and unplanned downtime.
Save time
Eliminate thousands of hours spent on manual data entry, drawing interpretation, and cross-system reconciliation. Your engineers and planners focus on decisions, not re-keying data between systems.
Scale without limits
Take on more orders without proportionally growing headcount. AI agents handle the operational load that would otherwise require dozens of new hires as you scale production across lines and facilities.