Next-Gen Manufacturing AI

Bridging the Gap Between Anomaly and Action

Agentic AI that thinks, acts, and predicts to eliminate downtime. A fully autonomous operating system for the modern factory.

Backed By

Yorglass
Microsoft Founders Hub
The Problem

Bridging the Gap Between Anomaly and Action

"We have too much data, but we are too slow to act."

Reactive

Maintenance tickets are created only after failures occur, leading to costly unplanned downtime.

Disconnected

Critical knowledge is buried in PDFs, logbooks, and veteran engineers' heads, not in the system.

Static

Dashboards show you "what" happened, but they can't tell you "why" or "what to do next".

Our Agentic AI bridges this gap — processing operational signals, learning equipment behavior, and delivering timely predictions with clear action plans.

2-3 Weeks
Advance Failure Prediction
35%
Reduction in Unplanned Downtime
Real-Time
Signal Interpretation
The Complete Ecosystem

The Agentic Advantage

Four integrated capabilities that transform your factory from reactive monitoring to proactive intelligence.

Automated Work Orders
Automated Work Orders

Automated Work Orders

AI doesn't just flag anomalies—it instantly creates work orders with priority scores and routes them to the right operator with full context.

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Deep Research Engine
Deep Research Engine

Deep Research Engine

Multi-hop reasoning that queries sensor data, OEM manuals, and historical logs to answer complex questions like 'Why is vibration increasing?'

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Hybrid Predictive Maintenance
Hybrid Predictive Maintenance

Hybrid Predictive Maintenance

Combines classical ML precision with Agentic AI context for transparent, state-of-the-art anomaly detection and RUL calculations.

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Digital Twin Simulation
Digital Twin Simulation

Digital Twin Simulation

Run 'What If' scenarios in a virtual sandbox before touching real equipment—test maintenance strategies with zero downtime risk.

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Our Approach

From Silent Signals to Smart Actions

⚠️

The Challenge

Many facilities deal with early warning signs that never turn into meaningful insight. Signals appear, disappear, and leave no clear understanding of what the equipment is actually trying to report. Without interpretation, these moments are lost and failures are recognized only after they disrupt production.

Our Solution

Our work centers on making this information understandable through advanced AI analysis. We process operational signals, identify recurring patterns, and interpret subtle changes that usually go unnoticed. The system learns the behavior of each asset, evaluates risk levels, and provides clear forecasts on when intervention may be needed.

The Impact

This approach turns complex machine behavior into practical guidance. It supports maintenance teams with timely predictions, helps prevent unexpected stoppages, and brings a more reliable planning structure to daily operations.

Conceptual Interface – Under Development

Watch AI Think, Reason, and Act

This section is a conceptual preview. The live demo is under development.

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How It Works

Real Intelligence, Real Results

Explore how each capability transforms traditional maintenance into proactive, intelligent operations.

How does automated work order assignment work?

When an anomaly is detected, our AI instantly generates a work order with priority and difficulty scores, routes it to the most qualified operator based on skill level and shift, and provides full context including relevant history and similar past incidents.

What makes the Deep Research Engine different?

It performs multi-hop reasoning across your sensor databases, OEM manuals, and historical logs. Ask 'Why is cooling pump vibration increasing?' and get a comprehensive, step-by-step analysis—not just raw data.

How does Hybrid Predictive Maintenance achieve better accuracy?

We combine classical ML's statistical precision for anomaly detection with Agentic AI's contextual understanding. The result: state-of-the-art RUL predictions with transparent reasoning you can audit and trust.

Leadership

Meet the Team

Combining deep expertise in AI, engineering, and business to revolutionize manufacturing.

Kerem Kaya

Kerem Kaya

Co-Founder & Chief Executive Officer

Education
Boğaziçi University
BA in Philosophy
2022 – Present
Focused Coursework in Management
2024 – Present
Experience
Servis Plan
Algo Digital
Car Studio AI
Expertise

AI Strategy & Market Development

Hasan Selçuk Kılıç

Hasan Selçuk Kılıç

Co-Founder & Chief Technology Officer

Education
Bilkent University
BSc in Electrical and Electronics Engineering
2020 – 2025
Experience
ASELSAN
MS SPEKTRAL
Expertise

Machine Learning, Optimization, Signal Processing

Taha Kocadurmuş

Taha Kocadurmuş

Co-Founder & Chief Growth Officer

Education
Boğaziçi University
BSc in Electrical and Electronics Engineering
2022 – Present
Experience
ScaleAI
Algo Digital
xAI
Expertise

Growth, AI Product Strategy

Can Koçman

Can Koçman

Co-Founder & Chief Product Officer

Education
Boğaziçi University
BA in Economics
2024 – 2027
BSc in Management Information Systems
2022 – 2024
Experience
QNB Finansbank
Bayer
Expertise

Data Science, Optimization

Bedirhan Soylu

Bedirhan Soylu

Chief Operations Officer

Education
Bilkent University
BS in Industrial Engineering
2022 – 2026
Experience
Kansai Polisan Boya
Doğaltaş Üretim Elemenları A.Ş.
TÜBİTAK
Expertise

Machining Optimisation, Manufacturing Systems

Yusuf Kesmen

Yusuf Kesmen

Chief AI Officer

Education
EPFL
PhD in Computer Science
2025 – Present
Bilkent University
BSc in Computer Science
Valedictorian
Class of 2025
Experience
Roketsan
Huawei
Aselsan
Expertise

LLMs & AI Systems Architecture

Cem Sarpkaya

Cem Sarpkaya

Backend Developer & DevOps Engineer

Education
Boğaziçi University
BSc in Computer Engineering
2018 – 2025
BSc in Mathematics
2020 – 2023
Expertise

Backend Development, Database Management, DevOps

Ready to Eliminate Downtime?

Stop being reactive. Start being proactive. Let our Agentic AI bridge the gap between your data and decisive action.

35%
Downtime Reduction
2-3w
Failure Prediction
100%
Transparent Reasoning

Or reach out directly

info@optinoe.com