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Digitisation of manufacturing is the holy grail of industrial production. Combining third wave AI and edge computing technology unlocks the industry 4.0 benefits to companies of all sizes.

Our technology will 100x accelerate your digital transformation

You book an installation
We install our devices in 2 hours
We calibrate our devices remotely in 2 hours
You monitor your OEE, plan, check, act and realize the benefits
We provide support, analysis or integration into your production to reach maximum potential

Our products

InOEE

Flexible MES and BI solution for machines

An AI operations effectiveness consultant for every machine. Accurately monitor your production effectiveness (OEE) and losses in real time and constantly improve using camera footage.

InoWare

Digital twin of internal logistics

Rapidly deployed digital twin of internal logistics. Know the exact location of your products using our automatic tracking system based on computer vision tracking and AI on the edge. 

Use cases

Heavy industrial plant aiming to improve effectiveness of internal logistics

InoWare, our AI-driven digital twin of internal logistics, can help you save staff's time on searching for material, optimize warehouse layout, improve OEE of handling equipment, schedule key aggregates and more.

SME looking an for effective MES or shop floor BI solution

Collection of the data from shop floor has never been so flexible, reliable, and fast to implement. InOEE will fuel your management with data from the shop floor literally tomorrow.

Owner or potential owner diagnosing opportunities to improve operations

Get an expert opinion of machinery effectiveness and improvement opportunities for a discrete manufacturing plant with their RoI based on detailed measurements and visual InOEE data everyone will support.

Manufacturing plant attempting to speed up ramp-up of new machinery

Getting new machinery up to speed and ensuring your investments delivers on expectations requires special attention. With InOEE, you willramp-up quicker thanks to fast and comprehensive analysis of effectiveness losses and variabilities.

Setting up or speeding a manufacturing company digital transformation

With InOEE, your will always have a real-time granular view of everything happening in your plant, aggregated into initiative impact tracking, synthesized into management KPIs. You transformation will be data driven and the risk of getting off tracks substantially reduced.

Testimonials

We work with customers in steel, rolling stocks, automotive, defense, construction, pulp and paper and other industries.
Contact us to schedule a go and see or a reference call with our satisfied customers.

Since our establishment in 2020, we have grown to >40 colleagues, experts on manufacturing operations, data science, SW development, HW design and assembly, cybersecurity, factory infrastructure installation, data labelling etc.

Leadership team

Boris Fačkovec portrait

Boris Fačkovec, PhD (CEO,CTO)

About Boris

Boris is leading product development and customer success. In his previous career as a McKinsey consultant, he designed and led or supported operations transformations at over 25 manufacturing plants across several industries and regions, with total EBITDA impact of the initiatives exceeding 1B EUR p.a. Building on his prior academic experience, he combines rigorous analytical approaches to losses of equipment utilization (OEE) with the pragmatic daily experience from the shop floor. Boris holds a PhD in mathematical modeling of rare events from the Univeristy of Cambridge, MSc in mathematical modeling of bio- and nanostructures from the Charles University and MEng in chemical engineering from the University of Chemistry and Technology.

Pavel Kohout portrait

Pavel Kohout (COO)

About Pavel

Pavel is managing the HW development, procurement, project deployment teams and leading the Polish R&D and service center. Previously he worked at BTL Medical Technologies and at TTP, a technology consultancy at Cambridge. He has broad engineering expertise in product and technology R&D ranging from proof of concept to transfer to manufacturing with experience across a wide range of technical areas from design and tolerance analysis of a switching mechanisms for mass manufacture to prototyping a magnetic field based displacement sensor or automating image analysis of aerosol speed. Pavel graduated with MEng from the University of Cambridge. 

Why InovecTech:

  1. Expertise : we have been developing our products since the AI on the edge became feasible, having analyzed >1000 machines in >50 manufacturing plants. Our devices have undergone hundreds of thousands of hours of testing

  2. Security : our standardized solution has been tested by experts in house and with customers working in critical infrastructure, weapons manufacturing, and other sensitive industries

  3. Reliability : camera footage can be easily interpreted and validated by a wide range of staff, including line oeprators, management, and experts

  4. Speed : the cameras can be installed and set up within minutes, set up within seconds

  5. Flexibility : the third wave of AI brings incredible flexibility with respect to conditions, types of machines, modes of operations etc., which are necessary for analysing a real-life production plant

Trusted partners

Contact

InovecTech Slovakia

R&D & customer service center for Slovakia, Ukraine and US

Inovec Technology s.r.o.
Južná trieda 4B,
040 01 Košice
Slovakia Company registration number (ICO):
55943471

InovecTech Czechia

R&D & customer service center for Czechia, DACH, administrative functions

Inovec Technology s.r.o.
Za Poříčskou bránou 214/12
186 00 Karlín, Praha 8
Czechia

Public T&Cs:

VOP-InovecTech-CZ-EN

Company registration number (ICO):
09252606 VAT number:
CZ09252606

InovecTech Poland

R&D and customer service center for Poland, Baltics & Ukraine

Inovec Technology Sp. z.o.o.
ul. Kalwaryjska 69/9
30-504 Kraków
Poland Company registration number (REGON):
522945920 VAT number:
PL6762624245

Write us at

Inovec Technology s.r.o.
Za Poříčskou bránou 214/12,
186 00, Praha 8, Czechia Public T&Cs CZ ISO Certificates Ethical codex IČO:  09252606
DIČ: CZ09252606
Phone: +420 234 253 580