Next-Gen Manufacturing AI

Bridging the Gap BetweenAnomaly&Action

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

Backed By

YorglassMicrosoft Founders Hub
The Problem

Too much data.
Too slow to act.

01

Reactive

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

02

Disconnected

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

03

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.

01
01

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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02
02

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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03
03

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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04
04

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.

Our Solution

We process operational signals, identify recurring patterns, and interpret subtle changes that usually go unnoticed. The system learns each asset's behavior, evaluates risk, and forecasts when intervention is needed.

The Impact

This turns complex machine behavior into practical guidance -- supporting maintenance teams with timely predictions, preventing unexpected stoppages, and bringing reliable structure to daily operations.

Under Development

Watch AI Think

optinoe-agent v0.1
awaiting input
How It Works

Real Intelligence,
Real Results

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 & CEO

Education

Bogazici University

Experience

Servis PlanAlgo DigitalCar Studio AI

Focus

AI Strategy & Market Development

Hasan Selcuk Kilic

Hasan Selcuk Kilic

Co-Founder & CTO

Education

Bilkent University

Experience

ASELSANMS SPEKTRAL

Focus

ML, Optimization, Signal Processing

Taha Kocadurmus

Taha Kocadurmus

Co-Founder & CGO

Education

Bogazici University

Experience

ScaleAIAlgo DigitalxAI

Focus

Growth, AI Product Strategy

Can Kocman

Can Kocman

Co-Founder & CPO

Education

Bogazici University

Experience

QNB FinansbankBayer

Focus

Data Science, Optimization

Bedirhan Soylu

Bedirhan Soylu

Chief Operations Officer

Education

Bilkent University

Experience

Kansai Polisan BoyaTUBiTAK

Focus

Manufacturing Systems

Yusuf Kesmen

Yusuf Kesmen

Chief AI Officer

Education

EPFL & Bilkent University

Experience

RoketsanHuaweiAselsan

Focus

LLMs & AI Systems Architecture

CS

Cem Sarpkaya

Backend & DevOps Engineer

Education

Bogazici University

Focus

Backend, Database, 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