Manufacturing
Custom AI systems for serious operations
Hexentec
We design, build, and deploy AI operating systems that turn business data, documents, and daily handoffs into better decisions.
Operating brief
40%
less downtime
Predictive maintenance across 500+ assets
30%
faster intake
AI-assisted triage with staff review
99.8%
on-time delivery
Routing tuned to live constraints
Workflow discovery with real operators
Production systems with review and monitoring
AI products, copilots, predictions, and automation
Trusted by operations teams across industries
01
Healthcare
Regional hospital network
Logistics
National distribution operator
Finance
Regulated financial services firm
Retail
Multi-location retail chain
Education
K-12 school networks across India
Services
A complete build path, not a slide deck.
Each service is structured around a real operating outcome: faster review, earlier signals, cleaner routing, or a production AI product your team can own.
AI Strategy
AI Strategy & Data Readiness
Turn vague AI ambition into a ranked roadmap, data audit, evaluation plan, and business case your team can execute.
Teams deciding where AI should start
Workflow Automation
Workflow & Knowledge Automation
Automate document-heavy, approval-heavy, and knowledge-heavy work with assistants grounded in your systems.
Operations teams losing time to manual handoffs
Predictive Systems
Predictive Decision Systems
Forecast demand, risk, maintenance, staffing, and operational exceptions before they become expensive surprises.
Leaders who need earlier signals
Document Intelligence
Vision & Document Intelligence
Extract structured information from images, video, scans, and PDFs so teams can act on it faster.
Teams with visual or paper-based bottlenecks
AI Product Engineering
AI Product Engineering
Design and ship model-backed products, copilots, dashboards, and user-facing AI experiences with production-grade UX.
Teams turning AI capability into a product surface
Enterprise Integration
Enterprise Integration & Deployment
Connect AI systems to existing tools, permissions, review flows, monitoring, and operational ownership.
Teams moving from prototype to reliable production
Operating system
From signal to decision, every handoff is designed.
The system is not a chatbot beside the workflow. It is a governed path that pulls in signals, reasons with context, routes work, and learns from outcomes.
Data
Signals come in
Documents, databases, tools, images, tickets, and human notes become usable inputs.
Connectors, parsing, cleaning, permissions
Workflow
Work gets routed
The system understands intent, context, urgency, and which team should act next.
Triage, routing, extraction, prioritization
Model
AI reasons with guardrails
Models, retrieval, rules, and evaluations work together instead of living in a demo box.
RAG, forecasting, vision, evaluation
Approval
Humans stay in control
Sensitive actions are reviewed, logged, and adjusted through role-aware approval flows.
Review queues, audit trails, exception paths
Outcome
Decisions improve
Teams see faster cycles, better forecasts, cleaner documents, and fewer missed signals.
Dashboards, alerts, feedback, retraining
Industries
Systems shaped around the way each operation moves.
The best AI deployment feels native to the floor, clinic, branch, route, store, or school it supports.
Manufacturing
Predictive maintenance
Predict failures, inspect quality, and prioritize maintenance with live equipment signals.
Predictive maintenanceQuality inspectionSupply chain exceptions
Healthcare
Patient triage
Support intake, triage, scheduling, and document review while preserving human oversight.
Patient triageClinical document reviewCapacity forecasting
Finance & Insurance
Fraud signals
Detect risk, summarize evidence, and support faster decisions across regulated workflows.
Fraud signalsClaim reviewPortfolio monitoring
Logistics
Demand forecasting
Forecast demand, route work, and optimize inventory across changing local conditions.
Demand forecastingRoute optimizationInventory decisions
Retail Operations
Inventory decisions
Help teams decide what to stock, staff, promote, and replenish across noisy demand.
Store insightsInventory recommendationsPromotion planning
Work
Proof patterns from production AI systems.
These are anonymized delivery patterns: the problems, system shape, and measurable movement that define a serious AI deployment.
Manufacturing
Predictive maintenance
A monitoring pipeline combined equipment signals and maintenance history to predict likely failures before production was interrupted.
System evidence
500+ assets monitored92% fault signal precision3.5x maintenance ROI
Healthcare
Intelligent intake
A patient-facing assistant gathered symptoms, scored urgency, and helped staff prioritize cases before the first appointment.
System evidence
Risk scoringStaff review workflow25% efficiency gain
Transportation
Logistics routing
A routing engine combined live traffic, delivery windows, weather, and fleet constraints to adjust routes in real time.
System evidence
22% fuel savingsLive constraint updatesException alerts
Security and governance
Built for teams that cannot afford mysterious AI.
Hexentec systems are designed with permissioning, auditability, model evaluation, and human review from the first architecture diagram.
Private cloud or VPC-aware deployment
Role-based permissions and audit trails
Zero-retention model routes where supported
Evaluation harnesses before launch
Human review for high-stakes decisions
Fallback paths for low-confidence outputs
Insights
Practical AI thinking for operators.
Short, direct playbooks on where AI pays off, how to prepare data, and how to design review systems teams will trust.
Operations AI
Where AI actually pays off in operations
A practical guide to spotting AI opportunities where delay, review load, or decision uncertainty is already expensive.
7 min read
Data readiness
The data readiness checklist before an AI pilot
The fields, permissions, edge cases, and evaluation sets that make a prototype useful instead of theatrical.
6 min read
Governance
Designing human-in-the-loop AI that teams trust
How to place review, escalation, and audit trails around AI decisions without slowing the workflow back down.
8 min read
Client perspective
Systems earn trust when they keep running.
The work is not finished at demo day. The real measure is whether operators still use the system months later.
“Hexentec turned our maintenance data into a system that actually predicts failures. The team treats production-readiness as the default, not a stretch goal.”
VP Operations
Industrial manufacturing group
“We had tried two AI pilots before Hexentec. The difference was they started with our workflow, not the model. The system is still running eighteen months later.”
Chief Data Officer
Financial services firm
“The intake assistant cut our triage time by a third and staff actually trust it because they stay in the review loop. That matters in healthcare.”
Director of Operations
Regional hospital network
Start with the workflow
Tell us where AI should make the work move better.
We will map the opportunity, define a realistic first system, and show what production-readiness would actually require.