AI for Healthcare
Better patient experience, less admin burden, data stays private
Challenges You Face
Patient intake and insurance verification consume front-desk hours
Appointment no-shows cost revenue, scheduling is reactive
Patient data cannot leave the hospital network — most AI tools are off the table
How We Help
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
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.
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
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
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
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