©2025 – Seeq Corporation 1

09:00 - 10:00 – Registration and Networking

10:00 - 10:10 – Welcome & Kick Off

10:10 - 10:40 – Seeq's Vision for Industrial Analytics and Enterprise Monitoring - Seeq

10:40 - 11:00 – Event Sponsor Presentation by Amitec

10:40 - 11:30 – Digital Transformation in Pharmaceutical Manufacturing: A Bottom-Up Approach - Sanofi

11:30 - 12:00 – Coffee and Networking Break

12:00 - 12:30 – Data-driven insights for safe operations - Equinor ASA

12:30 - 13:00 – Integrating real-time data Analytics into a modern Cloud Architecture - Teva Pharmaceuticals

13:00 - 14:00 – Lunch & Networking

14:00 - 15:30 – Industrial AI Hands-On Workshop — Business Impact at Scale, from the Shop Floor to the Top Floor - Seeq

15:30 - 16:00 – From Code to Clarity: Reactor Modeling with GenAI in SEEQ Data Lab - Tessenderlo

16:00 - 16:30 – Seeq in Biopharmaceutical Manufacturing - Lonza

16:30 - 17:30 – Happy hour and Networking

AGENDA

Points to Note During the Day

• Safety

• WiFi o Network Name: SeeqSummitFrankfurt2025 o Password: Seeq2025

• Breaks & Lunch o Will all take place in the foyer

• Happy Hour o Will take place in the Bar

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2005

2018

History

Founded

1995

1999

Alarm Database

OSIsoft Partner

2000

2008

Energy Management

2012

Energy Optimization

2019

2022

Founded

1994

1996

OSIsoft Partner

1st PI Project

1998

Advanced Analytics

2018 Information Management

2021

2023

OT Security

Acquisition of Werusys

2023

2023

OSIsoft → AVEVA

We support your digitalization projects from a process data perspective

1994

Established

80

Employees

10

Languages

150+

Years of combined experience

20 - 60+

Ages

©2025 – Seeq Corporation 11

Our Vision:

AI-Powered

Our Foundation

AI Powered Dashboards

Models + Scaling Tables

Agent “Q”, Copilot Integration

15+ Customers

The Insights Pyramid

Demo #1

Industrial Enterprise Monitoring at Scale

Demo #2

Premium AI on top of IEM

©2025 – Seeq Corporation 18

Demo #3

Enterprise Insights on top of IEM

Demo #4

Integration into the Emerging AI Ecosystem

AI-Powered

Easy, robust, scaling of calculations Monitoring workflow in Vantage

AI reasoning over monitored assets Chat-powered dashboards

Integration with AI ecosystem (e.g. Microsoft Copilot)

©2025 – Seeq Corporation 32

Support

Services & Data

Analytics

Products

Development

MAINTAIN – DELIVER – DEVELOP – VISUALIZE – ANALYZE

Support • Maintain data infrastructure

• System and security audits

Services & Data Analytics • PI Infrastructure projects

• Asset modeling and visualization

• Advanced analytics

Software development • Custom business applications

• Custom integrations and automation

Products • Extend digitalization capabilities for our customers

• Solution driven development

SCADA / PLC

AVEVA CONNECT AVEVA

PI Server

PI Data

Infrastructure

Data Quality

Data Health Data Security

PI Vision Asset Framework

Custom Data Reference

Seeq Implementation Phases

Plan Deploy

Scale

Run & Maintain

Seeq Implementation Phases

- Name a Seeq Champion

- Identify Key User

- Create a list of datasources

- Involve supporting departments

- Raise awareness

- Use Case planning

Plan Deploy

Scale

Run & Maintain

Seeq Implementation Phases

- Request instance at Seeq

- Install and configure Remote

Agents

- User onboarding

- Use Case implementation

Plan Deploy

Scale

Run & Maintain

Seeq Implementation Phases

- Expand to other sites /

departments

- System scaling

- Data sources

- 3rd Party integration

Plan Deploy

Scale

Run & Maintain

Technology Innovation Partner of the Year

Seeq Implementation Phases

- System maintenance

- User adoption

- Training

- End user support

- Workshops

Plan Deploy

Scale

Run & Maintain

Training & Adoption Partner of the Year

Think new. Keep it simple.

Share insights. Have fun!

Contact

Thorsten Vogt | +49 221 970348-25 | thorsten.vogt@werusys.de

Glenn Tefre | +47 99226988 | glenn.tefre@amitec.no

Julian Weber | +49 221 970348-24 | julian.weber@werusys.de

mailto:kai.weber@werusys.de mailto:kai.weber@werusys.de

©2025 – Seeq Corporation 45

Unfortunately, we are unable to share this presentation after the event. However, if you have any questions, please feel free

to reach out to charlyn.gruhn@seeq.com, and we will be happy to put you in touch with the Sanofi team.

©2025 – Seeq Corporation 46

©2025 – Seeq Corporation 79

©2025 – Seeq Corporation 80

©2025 – Seeq Corporation 81

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Data-driven insights for safe operations Fredrik Liknes and Tone Wisnes Seeq Summit in Frankfurt, November 18th, 2025

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An energy company,

searching for better.

W E A R E E Q U I N O R

We are a Norwegian energy company, determined to use our competence, skills and innovation, continuously searching for the solutions that will help drive the energy transition.

25,000 E MP L OY EE S

Across the world

7,500 SUP P L I ER S

Working together with us

170 M ILL IO N P E OP L E

Get access to our energy – everyday

OIL & GAS

LOW CARBON SOLUTIONS

RENEWABLES

Established​ in 1972​

NET ZERO by 2050

Hywind Demo in 2009

Sleipner CCS in 1996

Optimised oil & gas portfolio​

High value growth in renewables ​

New market opportunities in low carbon solutions

20 COU NTRIE S

Presence and business operations

+

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Our value chain

A B R O A D E N E R G Y C O M P A N Y

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Production engineers

O U R T A R G E T I M P L E M E N T A T I O N G R O U P

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Energy and production optimization through surveillance and analysis of reservoir, well, templates and flowlines

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86 | Data-driven insights for safe operations

Monitoring Pressure Safety System

T H E U S E C A S E

Reservoir

Seafloor

Well head / valve tree

Production tubing

Annulus Pressure Relief System

Annulus A

Annulus B

Casings

“As a production engineer I want to identify and quantify bleed-offs from the Annulus Pressure Relief System (APRS) to gain insights about its

performance and well integrity.”

Always safe High value

Low carbon

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Background

T H E U S E C A S E

" Monitoring has previously been done by looking at raw data trends and for a few engineers by using python.

The Seeq method is more visual and available for more engineers – it also allows for simple scaling. “

Production tubing

Annulus Pressure Relief System

Annulus A

Annulus B

Annulus B

Annulus relief valve

Check valve

Annulus A

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Casings

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Data preparation and organization

T H E U S E C A S E

Raw sensor data

Annulus A pressure

Annulus B pressure

Annulus A Master Valve

Calculated data

Pressure at APRS Ann. B

Pressure at APRS Ann. A

Constants from Data Sheets

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Fluid filled annulus B

Gas filled annulus A

Asset Group for scaling

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89 | Data-driven insights for safe operations

Identify and quantify

T H E U S E C A S E

Annulus relief valve

Check valve

Annulus AAnnulus B

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Annulus Master Valve Open

Check Valve Open

Annulus Relief Valve Open

Sufficient pressure drop across APRS

APRS bleed-off

• Annulus Master Valve is Open

• Check Valve opens when B-annulus pressure is greater than A-annulus pressure

• Annulus Relief Valve opens when B-annulus pressure is greater than the opening set point

• Delta pressure is higher than the expected pressure drop across the APRS

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Results

T H E U S E C A S E

Subsea wells w/APRS

W-01

W-02

W-03

W-04

W-05

W-06

W-07

W-08

W-09

W-10

W-11

W-12

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Results

T H E U S E C A S E

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Seeq implementation in Equinor

O U R C O N T I N U E D J O U R N E Y

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Awareness Desire Knowledge Ability Reinforcement

The Prosci ADKAR model

Why change, why Seeq, success stories and personal benefits

Willingness to learn from engineers with correct leader support

Training and learning resources

Best practices, asset trees, support in solving use cases

Share in networks, enhance learning paths, and train colleagues.

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Seeq implementation in Equinor

O U R C O N T I N U E D J O U R N E Y

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• Introduced in Equinor in May 2024, still seeing solid growth.

• Shifting trend for usage patterns

• Data for targeted implementation and monitoring

Access to Seeq

Users in Seeq

Active users in Seeq

Jun 24 Aug 24 Oct 24 Dec 24 Feb 25 Apr 25 Jun 25 Aug 25 Oct 25

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Data-driven insights for safe operations

Q u e s t i o n s a n d a n s w e r s

©2025 – Seeq Corporation 95

Unfortunately, we are unable to share this presentation after the event. However, if you have any questions, please feel free

to reach out to charlyn.gruhn@seeq.com, and we will be happy to put you in touch with the Teva team.

©2025 – Seeq Corporation 96

©2025 – Seeq Corporation 98

Tessenderlo Group Every Molecule Counts

From Code to Clarity: Reactor Modeling with GenAI in SEEQ Data Lab

Jan De Lombaert Frankfurt 2025

• Introduction • SEEQ community @ Tessenderlo Group • Reactor Model use case

• AI assistant • Asset Tree • SEEQ Data Lab

Agenda

ABOUT TESSENDERLO GROUP

© Tessenderlo Group – Corporate presentation

With a history that dates back to 1919, the group has evolved over recent years

from a chemical company into a diversified industrial group that focuses on agriculture, valorizing bio-residuals,

machinery, mechanical engineering, electronics, energy, and providing

industrial solutions with a focus on water.

www.tessenderlo.com

billion EUR revenue in

2024

2.6 employees

+7,000+100 sales in

more than 100 countries

OUR SEGMENTS AND BUSINESS UNITS

© Tessenderlo Group – Corporate presentation

Bio-valorizationAgro Industrial Solutions T-Power Machines & Technologies

CelebrateLearnInspireShareMeet SEEQ Community @ Tessenderlo Group

CelebrateLearnInspireShareMeet

Integration Novelty Business Impact

TG Advanced Analytics Event & Awards

Create Visibility Sponsorship Helps resonate within the organisation

Use case deep dive: Reactor Modeling in SEEQ

The initial request

I have a theoretical model to calculate the Reactor conversion, how can I add this gamma function to Formula?

Mix of 2 - 5 types of solids Raw Materials planning Different particle sizes

Chemicals recipe + Reactor mech. properties

Pull data from SEEQ & Load from Excel sheets

Calculate PSD for each individual type and final

mix

Apply to 4 theoretical models

LIMS Historian

Create a local Asset Tree for all 4 models and intermediate results

Apply a forecast based on planning & current recipe

Model parameters still needed fitting

Conversion output was not stable

Pretreatment active at certain periods

Challenges

Fitting the Models

I prepared a condition for you that contains all capsules the model should be fitted to

#CSV upload

#Manual condition

#Chain view

#AI Assistant: Action agent

#Average details

Select chain mode to only filter on the ideal fitting period + use the Avg column to find the delta signal closest to 0

Solids Pretreatment tests

This is our test Reactor and we performed various tests across the year and pretreated certain solids, can you adapt the code so it adjusts the recipe and formula ?

Create a new ‘Real value’ signal based on the 2 versions and the Pretreatment being active or not (when condition is active, you see the pretreated orange value being taken, otherwise the blue normal value)

#Formula splice()

Various Prompts to get a 2nd flow of data transformation => Get a pretreated conversion result

Variance in measured Conversion: Shift team condition

© Tessenderlo Group

The operator teams rotate on a fixed schedule:

Solution: create a “Team signal” and assign this value as a property to each shift condition

We notice the lab sample procedure is not always performed correctly in certain teams, can we filter these out to fit again ?

Variance in measured Conversion: Shift team condition

© Tessenderlo Group

Approach: • Create a Team signal with timestamp and team name to upload as a CSV file into workbench as a Step signal • Use Co-pilot or SEEQ Data Lab to generate these values by writing a clear prompt

Same result

Variance in measured Conversion: Shift team condition

© Tessenderlo Group

Condition with Shift property + Team property

How:

Advantage: See immediately which team was active during a certain event or track team KPI’s and identify need for extra support/training

#CSV upload

#formula Shifts()

#condition properties

Create a local Asset Tree

© Tessenderlo Group

1. Push the Models calculated signals to a local Workbook as raw signals 2. Save the pushed signals names and ID’s into Excel file 3. Create the Asset Tree layers and adjust Friendly name if needed to enable swapping feature in Workbench

# spy.push

# spy.assets.tree

Enabling Swap feature

© Tessenderlo Group

Easier navigation & allow swapping from one asset/model to another

Summary

Scipy Python library to deal with complex math problem

SEEQ Data Lab to run python and transform data & process

models

…One step closer to Process Super Intelligence

Next Steps

Generate Shift Team signal

Workbench tools to fit the models

Workbench to interact with SME’s

Asset Tree for easy navigation and model swapping

Expand Python code to a Tool with UI so Operations can look for the best Mix/Quality configuration

Pick, Fit and tune model

GenAI turned the impossible into reality

image by Freepik

Questions?

© Tessenderlo Group – Corporate presentation

Check open vacancies & follow our activities

www.tessenderlo.com

Jan De Lombaert Group Process Data Analytics Engineer jan.delombaert@tessenderlo.com

https://www.linkedin.com/in/jandelombaert/

Connect & stay in touch

mailto:jan.delombaert@tessenderlo.com https://www.linkedin.com/in/jandelombaert/

©2025 – Seeq Corporation 118

Unfortunately, we are unable to share this presentation after the event. However, if you have any questions, please feel free

to reach out to charlyn.gruhn@seeq.com, and we will be happy to put you in touch with the Lonza team.

©2025 – Seeq Corporation 119

©2025 – Seeq Corporation 120

Default Section Slide 1 Slide 2 Slide 3 Slide 4 Slide 5 Slide 6

Intro slides AMITEC 5 mins Slide 7 Slide 8 Slide 9: History Slide 10 Slide 11

Mark Derbecker Presentation Slide 12 Slide 13 Slide 14 Slide 15 Slide 16 Slide 17 Slide 18 Slide 20 Slide 21 Slide 22 Slide 23 Slide 24 Slide 25 Slide 26 Slide 27 Slide 28 Slide 29 Slide 31 Slide 32

HIDE Slide 33 Slide 36 Slide 37 Slide 38: Seeq Implementation Phases Slide 39: Seeq Implementation Phases Slide 40: Seeq Implementation Phases Slide 41: Seeq Implementation Phases Slide 42: Seeq Implementation Phases Slide 43 Slide 44 Slide 45 Slide 46

Filler Slide 1 - Coffee break Slide 79 Slide 80 Slide 81 Slide 82: Data-driven insights for safe operations Slide 83 Slide 84 Slide 85 Slide 86 Slide 87 Slide 88 Slide 89 Slide 90 Slide 91 Slide 92 Slide 93 Slide 94

Equinor Presentation Slide 95 Slide 96

Filler slides - lunch break Slide 97

Tessenderlo Presentation Slide 98 Slide 99 Slide 100 Slide 101: ABOUT TESSENDERLO GROUP Slide 102: OUR SEGMENTS AND BUSINESS UNITS Slide 103 Slide 104 Slide 105: TG Advanced Analytics Event & Awards Slide 106: Use case deep dive: Reactor Modeling in SEEQ Slide 107: The initial request Slide 108 Slide 109: Fitting the Models Slide 110: Solids Pretreatment tests Slide 111: Variance in measured Conversion: Shift team condition Slide 112: Variance in measured Conversion: Shift team condition Slide 113: Variance in measured Conversion: Shift team condition Slide 114: Create a local Asset Tree Slide 115 Slide 116: Summary Slide 117: Questions? Slide 118 Slide 119

Closing slides Slide 120