Your 6061 aluminum bar stock dropped below the 2-week safety threshold at 4 PM yesterday. Your TabTab agent caught the inventory trigger, checked pricing from your three approved suppliers, found a 4% discount on a bulk order from your secondary vendor with 3-day delivery, generated a PO matching your terms, and sent it for approval. Your purchasing manager sees a ready-to-sign PO at 5:45 AM with a side-by-side cost comparison. No stockout. No rush freight.

RFQs sit in the inbox — customers go to the shop that responds first
AI parses RFQ drawings and specs, pulls material costs, and generates preliminary quotes within hours — not days
Job scheduling is a whiteboard nightmare — priorities shift daily
Scheduling agent optimizes machine utilization, sequences jobs by due date and setup time, and rebalances when rush orders arrive
Material procurement delays hold up production
Procurement agent tracks raw material inventory, auto-orders from preferred suppliers, and cross-references job requirements against current stock
Quality escapes cost more than rework — customer complaints damage reputation
Quality agent tracks inspection results per job, identifies trending defect patterns, and alerts before scrap rates exceed thresholds
Quoting is slow — estimators buried in manual calculations
Estimating agent pulls historical data from similar jobs: cycle times, material usage, scrap rates. Quotes anchored in real shop performance, not guesses.
On-time delivery slips without warning
Delivery tracker monitors every open job against promised dates. Alerts when jobs fall behind schedule with enough time to recover or communicate.
AI parses drawings, specs, and tolerances. Pulls material costs and historical cycle times from similar jobs. Preliminary quote generated for estimator review.
Won jobs entered into production queue. Machine capacity optimized. Setup times minimized through intelligent sequencing. Material orders triggered.
Real-time job status: in-queue, in-process, inspection, shipping. Quality data captured per operation. Bottlenecks surfaced before they cause delays.
Shipping documents generated. Delivery confirmation tracked. Quality certificates compiled. Customer follow-up for repeat order potential.
Every node below is an agent that runs on your TabTab hardware. Click a department or agent for details.
Parses incoming RFQs, generates quotes with material and labor costs.
Tracks open quotes, sends follow-ups at 3, 7, and 14 days.
Detects when regular customers are overdue for their typical reorder.
Every agent above is buildable with a TabTab installation. Your 3-hour Bench onboarding gets you the first 6 agents. The community ships the rest.
Extracts dimensions, tolerances, material specs, and finish requirements from uploaded drawings. Reduces manual RFQ review time by 70%.
When a new RFQ arrives, AI finds similar past jobs by geometry, material, and tolerance. Pulls actual cycle times and scrap rates for accurate quoting.
Real-time view of every machine: running, idle, setup, maintenance. Identifies capacity gaps for additional work or overtime decisions.
Tracks every supplier on lead time accuracy, quality, and pricing. Recommends optimal sourcing for each material type and urgency level.
17+ agents across 5 departments — configured, tested, and trained for your specific operation. One price. Full ownership. No monthly platform fees.