AI for Manufacturing & Logistics
Automate supplier ops, inspect smarter, deploy AI on the factory floor
Challenges You Face
Quality inspection is slow and misses defects
Supplier RFQs and quality reports sit in inboxes for days
No internet on the factory floor — cloud AI is not an option
How We Help
Back-office automation — built per industry, released as packages
Repetitive back-office work is different in every industry. We ship industry-specific automation releases that actually fit.
Local AI — your data stays on your hardware
Start with small efficient models, scale to fine-tuned large ones. Your data never leaves your network.
AI agents that actually do the work — not chatbots that just talk
Agents that schedule meetings, explain documents, look up records, and complete tasks — not just answer questions
A working MVP for your business — built and deployed in days
From idea to live product in 7–14 days. You own the code. No committees, no slide decks.
Industry Use Cases
E-commerce: Returns triage + inventory reconciliation
Problem: Returns queue overflows, inventory counts drift
Solution: Automation classifies returns, updates inventory, issues refunds, flags fraud
Returns processed in hours instead of days, inventory accuracy >99%
Healthcare: Patient intake + insurance verification
Problem: Staff spends hours per day on intake forms and insurance checks
Solution: Automation handles digital intake, verifies coverage with payors, flags issues
Front-desk time freed up, patients get answers faster
Professional services: Invoice generation + timesheet aggregation
Problem: Billing month-end is a multi-day fire drill
Solution: Automation pulls timesheets, drafts invoices, routes for approval, sends to clients
Billing closes in a day instead of a week
Manufacturing: Supplier RFQ + quality report processing
Problem: RFQs sit in inbox, quality reports take days to consolidate
Solution: Automation parses supplier emails, extracts data, populates QMS, drafts responses
Faster supplier cycles, cleaner quality data
Document Q&A (private)
Problem: Confidential documents can't be sent to cloud AI
Solution: Small model + on-premise RAG over your document store
Searchable, queryable AI over private data, zero cloud exposure
Patient / Clinical AI
Problem: Patient data cannot leave the hospital network
Solution: Local models for imaging triage, transcription, summarization
HIPAA-compliant AI without cloud risk
Manufacturing line inference
Problem: Need sub-second AI decisions, no internet on the factory floor
Solution: Edge AI box running optimized small models for quality / defect detection
Real-time decisions, no cloud dependency
IP-sensitive R&D
Problem: Research and engineering teams can't paste IP into ChatGPT
Solution: In-house code/text assistant on local models, fine-tuned on your codebase
Team gets AI productivity without leaking IP
Scheduling Agent
Problem: Customers wait hours or days to book an appointment
Solution: AI agent checks calendars, books slots, sends confirmation, handles reschedules
Bookings happen 24/7 with zero human involvement until the meeting itself
Explainer Agent
Problem: Customers stuck on complex documents (contracts, policies, technical specs)
Solution: Agent reads your documents, answers questions in plain language, escalates legal questions to a human
Support tickets about documentation drop sharply
Order / Account Lookup Agent
Problem: Customers want to check order status, account info, or service details
Solution: Agent authenticates, queries your systems, shows the answer, and can take next action (cancel, reschedule, update)
Customers self-serve for routine work, team focuses on real problems
Onboarding Agent
Problem: New users abandon during sign-up because they don't know what to do
Solution: Agent walks each user through onboarding step-by-step, fills forms with their input, answers questions inline
Activation rate jumps, support load drops
Idea Validation
Problem: You need to know if customers will pay before building the full thing
Solution: Live MVP with real users within 14 days
Validated (or pivoted) before spending months and tens of thousands
Investor Demo
Problem: You need something to show, not just slides
Solution: Working product with real functionality and a real database
Credible demo that closes funding
Internal Tool
Problem: Your team needs a custom tool but IT is backlogged for months
Solution: Purpose-built app deployed on your infrastructure
Team unblocked in two weeks, not two quarters
New Product Line
Problem: You want to test a new business model without betting the company
Solution: Standalone MVP under your brand, separate from main product
Test, learn, kill or scale — fast