The MRO Crisis in Heavy Industries
Modern Maintenance, Repair, and Overhaul (MRO) operations are complex and often inefficient, leading to significant financial and operational burdens.
Crippling Downtime Costs
Unscheduled equipment downtime can cost $10k-$100k per hour for critical assets, halting projects, incurring penalties, and damaging reputations. This is a multi-billion dollar annual loss for industries.
Data Overload, Insight Scarcity
Heavy industries generate vast data (e.g., CAN bus, telematics), yet 95% often goes unused due to complex data engineering needs and fragmented systems.
Mixed Fleets & Fragmentation
Managing 8+ data sources from various OEMs (CAT, Komatsu) plus ERPs & CMMS creates data silos, slows decision-making, and complicates holistic MRO.
One Platform, Total Operational Control
Modern Maintenance, Repair, and Overhaul (MRO) operations are complex and often inefficient, leading to significant financial and operational burdens.
Sensei integrates every facet of equipment management into a single, intelligent system.
Predictive Maintenance
Anticipate and prevent critical failures by analyzing sensor data to predict component health and flag anomalies before they cause downtime.
Procurement AI
Automate inventory management and optimize your supply chain with AI-powered parts forecasting and supplier risk mitigation.
Intelligent Scheduling
Generate optimal maintenance and deployment schedules with a single click, balancing operational demand with asset health and technician availability.
Sensei's Solution: How It Works
Sensei transforms your equipment data into proactive, autonomous MRO actions through a powerful, integrated approach, simplifying complex data and operational challenges.
Simplified Multimodal Data Handling & Engineering
- Comprehensive Data Acquisition: Our Sensei Insight Unit (SIU) & Connectors seamlessly gather data from CAN bus (J1939, etc.), telematics, OEM platforms, ERP/CMMS, and crucially, multimodal inputs like image (wear, damage) and audio (anomalies).
- Automated Data Engineering: Sensei handles the heavy lifting of data cleaning, complex protocol decoding, data standardization, and packaging for AI analysis. This significantly reduces your internal data engineering burden.
- Contextualization & Enrichment: We build a Dynamic Digital Twin of your operation. Data is contextualized with asset history, operational parameters, and maintenance logs. LLMs assist in interpreting unstructured data like technician notes.
Select an Agent to Learn More
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Advanced Operations Research & Computational Power
- Sophisticated Planning & Scheduling: Our algorithms handle multi-objective optimization for site-specific maintenance planning, balancing costs, resource utilization, and urgency under uncertainty.
- MAS for Complex OR Deployment: Sensei's MAS architecture simplifies the deployment, observability, and tuning of computationally intensive OR use cases.
- LLMs & Neurosymbolic AI Concepts: We leverage Large Language Models for richer data interpretation and explore neurosymbolic AI concepts for more robust, explainable reasoning.
Use Cases: An AI Copilot for Every Role
Kaito's conversational UI transforms how your team works, providing expert assistance tailored to their specific needs.
For the Fleet Manager
For the Maintenance Engineer
For the Machine Operator
Meet Kaito: Your equipment Co-pilot
Kaito is the conversational heart of the Sensei platform. It's an expert AI agent that not only diagnoses issues but also initiates the solution, now supercharged by Sensei's AI.
Advanced Information Retrieval
Instantly pull up schematics, service histories, or safety procedures from decades of maintenance manuals and work orders.
Dynamic Reporting & Dashboards
Move beyond static reports. Ask Kaito to generate a custom dashboard on the fly to visualize performance instantly.
Automated Workflow & Work Orders
Kaito bridges the gap from insight to action by automatically generating work orders, checking parts inventory, and initiating repair workflows.
> Kaito, what's causing the J1939 fault on EX-07?
> Kaito: I've correlated the `J1939-SPN 1172` fault code with a 12°C temperature anomaly in the primary hydraulic pump. The pattern matches two previous hose failures. Maintenance log shows the component is 50 hours past its service interval. High probability of imminent failure.
Sensei-Powered Multimodal Diagnostics
Technicians can upload an image of a component for instant analysis. Sensei's AI capabilities assess damage, estimate severity, and recommend action.
Analysis results will appear here.
Competitive Differentiation
Sensei-Powered Supplier Intelligence
Go beyond basic metrics. Use Sensei's AI to synthesize performance data and market signals into actionable risk reports.
Your Path Forward: A Phased Approach to Transformation
We propose a pragmatic, value-driven journey to validate capabilities, build confidence, and ensure success before scaling enterprise-wide.
Pilot Project
Validate impact on a high-value use case.
$15,000
3-Month Engagement
- Focus on 1 Plant & 1 Use Case
- Full Integration with Target Systems
- Clear KPI & ROI Analysis
- Results in as little as 1 month
Enterprise Core
Scale proven solutions across the network.
Custom
Per Plant / Per Year
- All features of the Pilot Project
- Deployment across multiple plants
- Enterprise-wide dashboards
- Dedicated support
Strategic Partnership
Co-innovate and secure a long-term advantage.
Invest
Equity & Co-Development
- Full Enterprise Deployment
- Influence on R&D Roadmap
- Co-develop bespoke Pharma AI solutions
- Potential equity in AlgoInSense
The Sensei Advantage: A Strategic Investment Opportunity
Beyond its role in PharmaOptima AI, AlgoInSense's Sensei platform represents a foundational technology with strategic value for Micro Labs.
Agentic AI & Advanced OR
Autonomous, goal-oriented AI agents and sophisticated optimization algorithms solve complex problems far beyond simple prediction.
Transparent & Auditable
The "No AI Blackbox" design provides a full audit trail for all AI decisions, crucial for regulatory compliance and building trust.
Broad Applicability
The core Sensei engine is versatile enough to be applied to R&D, clinical trial logistics, and other complex business challenges.
The Minds & Expertise Behind Sensei
Sensei is powered by a founding team and advisors with a unique blend of deep expertise in AI, Operations Research, Industrial Systems Engineering, and Business Strategy.
Founding Team
Aravind Bharathi
Founder
Automation Eng, MBA . Drives product vision and business strategy.
IIM Ahmedabad
Anirban
Lead, Systems & Optimization
Comp. Systems & Math Optimization. Architect of core computational intelligence.
IIT Kharagpur
Indra
Lead, Agentic Workflows
Agentic Workflow Engineering. Designs multi-agent autonomous processes.
IIT Roorkee
Santanu
Lead, Decision Science
Decision Algorithms, Stochastic Opt. Intelligent scheduling & allocation.
IIT Kharagpur
Snegha
Lead, LLM & Vision AI
LLM Eng (SFT, RLHF, DPO), Machine Vision. Multimodal data interpretation.
IIT Bombay
Advisory Board
David Thambiratnam
Advisor (Mining Tech, Advanced Analytics)
CEO Veridapt. Expert in advanced analytics, commodity management, and industrial IoT.
Sanjay Pendharkar
Advisor (Construction OEM Insights)
Former AVP at JCB with 25+ years in heavy construction equipment. Deep OEM and market expertise.
Additional Expertise
Advisors with deep operational experience in aviation, O&G, and broader construction sectors.