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A quick recap from our latest Contekst event

A recap from our latest Contekst event.

The iconic Wintercircus in Ghent transformed into a SOLD OUT buzzing hub of ideas, innovation, and inspiration. Contekst, hosted by Tekst, brought together some of the brightest minds in Belgium's largest companies for a full day of learning, sharing, and connecting. From established enterprise leaders to emerging AI innovators, the event bridged the gap between vision and application—making one thing clear: AI is no longer a futuristic concept; it's a real-world driver of change.

Big Ideas on a Big Stage

The day kicked off with a powerful keynote by none other than Peter Hinssen, thought leader and futurist, who challenged the audience to rethink how organizations adapt in an age of exponential technology. His message? The companies that win with AI aren’t necessarily the ones with the most data—but the ones with the most agility.

This set the tone for a vibrant fireside chat featuring industry veterans Elke Vandepitte (Colruyt Group), Christophe Boucquet (Lecot), and Pieterjan Bouten (ex-Showpad, now at Encourage). Together, they shared their unique perspectives on navigating digital transformation, the human side of automation, and what it really takes to embed AI into the DNA of an enterprise.

A Community of Curious and Bold Thinkers

What made Contekst truly special wasn’t just the speakers or the tech—it was the community. Over 100 professionals from both industry and government came together to learn from each other and explore how AI can solve real, gritty problems. We were thrilled to welcome companies like Colruyt Group, Securex, Milcobel, D’Ieteren, BD, Lecot, Acerta, Daikin Europe, KBC Bank, Johnson & Johnson, Roularta, SD Worx, Mainfreight, Just Russel, and many more to the event. The networking moments were just as powerful as the talks—connections were made, use cases shared, and bold ideas born.

Missed It? Watch the Aftermovie

Couldn’t make it to Contekst? Don’t worry—we captured the energy, the moments, and the magic.
Watch the aftermovie and feel the AI-mazing vibes for yourself.

Thank You — and see you at Contekst 2025!

To everyone who joined us, contributed to the conversation, and made Contekst 2024 such a standout success: thank you. Your curiosity, energy, and openness to rethink what's possible with AI are what make this community so powerful. We’re already looking forward to Contekst 2025, happening on May 22 at the stunning Valke Vleug vineyard. Expect fresh air, fresh perspectives, excellent wines and even deeper dives into the future of enterprise AI. See you there!

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Tekst at Hannover Messe 2025.

Tekst Showcases Flemish AI Innovation at Hannover Messe 2025

Last week, the team at Tekst had the opportunity to showcase their cutting-edge AI solution at HANNOVER MESSE 2025, one of the world’s leading industrial technology trade fairs. Representing Flanders at the Startup Flanders pavilion, CEO and co-founder Wouter Janssen pitched Tekst's vision to global industry leaders—and even to political figures like Flemish Minister Matthias Diependaele.

“Well, I could use this in my cabinet,” the Minister remarked after Tekst’s demo—a strong sign that our solution resonates far beyond just private sector applications.

Revolutionizing the Inbox With AI

Tekst builds AI specifically designed to help companies—and public institutions—automate email and aftersales workflows. The goal? To eliminate repetitive, manual back-office tasks like email triage, forwarding, classification, and data re-entry.

Whether it's an overloaded customer service inbox or post-sales processes that drain resources, Tekst ensures teams can focus on what truly matters by:

Automating repetitive emails
Smartly routing messages to the right people
Reading and extracting data from PDFs and attachments
Providing clear insights into communication flows

As Wouter put it:

“We think every Flemish institution could benefit from a little Tekst magic.”

From Flanders to the World

HANNOVER MESSE is known for being a hotspot for innovation in Industry 4.0, AI, and digital transformation. With over 130,000 visitors and thousands of exhibitors, the event connects tech innovators with industrial leaders seeking to future-proof their operations.

For Tekst, participating wasn't just about visibility—it was a strategic step in scaling internationally. The company’s focus on low-disruption integration and high-impact automation makes it a compelling partner for enterprises and governments alike.

And the best part? You didn’t have to be a Member of Parliament to get the demo—attendees at the Startup.Flanders pavilion were treated to the same live pitch that impressed Minister Diependaele.

What’s Next for Tekst?

With growing interest from both industrial and public players, Tekst is expanding its AI capabilities and integration portfolio. From Ghent to Germany and beyond, they’re on a mission to make messy inboxes a thing of the past.

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How it works

Tekst simplifies your business operations like never before. Our custom AI model interprets every incoming email, ticket, and chat, understanding the context and intent.

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Customer stories

Explore how Tekst powers next-gen operations with real use cases from real customers.

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Solutions

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Contekst 2025, the start of a movement.

Contekst 2025: Where the Future of Work Meets the People Doing It

There’s a moment at every great event when you realize something real is happening. At Contekst 2025, that moment came early, not during a keynote or a product demo, but when guests started pulling Tekst t-shirts out of the goodie bags and wearing them. Unprompted. No push. Just resonance.

#EliminateTheBoringWork wasn’t just a tagline that day, it became a shared mission.

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For the second edition of Contekst, we returned to the Valke Vleug winery, a setting that felt fittingly human for a conversation about AI. We welcomed over 60 guests: digital leaders, transformation heads, and customer operations teams from across Belgium. Our goal? Create a space to talk candidly about how AI is actually being used and where it’s falling short. No booths. No buzzwords. Just people who care about solving real problems.

Inbox-to-Anything: What AI Looks Like on the Frontline

Across three enterprise use cases, one theme kept coming back: the real work starts in the inbox. And that’s where automation needs to begin, too.

🧠 From Intelligence Swarming to Sentiment: Nokia’s Vision for Smarter Support

Nokia shared how they’re exploring intelligent swarming — using AI to route complex customer issues to the right experts, faster. By combining sentiment analysis with Tekst’s LLM-powered triage, they aim to bring nuance and emotional intelligence to large-scale service.

🌍 BD’s Go-to-Market Playbook: From France to Full EMEA Rollout

Becton Dickinson walked us through their Tekst journey: Starting with a single inbox in France, they used process insights to untangle internal complexity and boost service performance. Now? That MVP has become a playbook for every EMEA market, scaling inbox automation across regions without reinventing the wheel.

🧀 Milcobel’s Leap from Private to Shared Inboxes

Milcobel opened up about a challenge many B2B companies face: Moving from siloed, personal inboxes to a shared view of customer communication. With Tekst, they not only made that shift, they also unlocked process transparency, enabling better coordination, SLA tracking, and fewer dropped balls.

From Buzzwords to Real Conversations

Beyond the stage, some of the best insights happened over wine (and in-between presentations):

How do you actually mine processes hidden in Outlook threads?
How do you separate signal from noise in Salesforce cases?
What does it take to move from manual workflows to intelligent automation — without triggering change fatigue?

By bringing customers, leads, and the full Tekst team together, we didn’t just talk about transformation. We started building trust in it.

So What’s Next?

Contekst 2025 confirmed what we’ve believed from day one: The process is the inbox. And automating the boring work isn’t about cost-cutting — it’s about making space for the real work to shine. We’re incredibly grateful to everyone who joined, not just for showing up, but for showing us what this community can become.

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USE CASES

Clutter removal and email filtering

Proposed answer generation

Smart summaries

Automated complaint handling

Automatic order intake

Automate inventory management

INDUSTRIES

Customer Stories

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Why Process Intelligence Needs to Start in the Inbox

The Process Is the Inbox: Why Process Intelligence Needs a Rethink

If you’ve ever seen a “perfect” process diagram, you know it rarely reflects reality. Boxes and arrows on PowerPoint slides are clean. Business operations? Not so much.

That’s because real work doesn’t happen in SAP. Or Salesforce. Or ServiceNow.

It happens in the inbox.

Customer complaints, order changes, quote approvals, invoice questions — they all start with an email. That’s the frontline of your business. And it’s exactly where Tekst starts too.

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We Don’t Mine Logs. We Decode Conversations.

Most approaches to process intelligence rely on structured logs: system events, transaction IDs, time stamps. Valuable, yes — but also sanitized, incomplete, and one step removed from reality.

At Tekst, we flip the model.

Our AI plugs into your company’s inboxes (Outlook, GMail, shared mailboxes) and learns how your business actually runs. We follow the trail of messages, attachments, and people to map entire processes from start to finish. No need to wait for IT to set up connectors to 15 tools. No need for six months of log configuration.

If a process happens over email, Tekst sees it. And if it doesn’t — it probably isn’t a real process yet.

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Context Is Everything

An ERP log can tell you when a PO was created. But it won’t tell you why it was delayed. Or how a customer escalated the issue. Or who spent four hours chasing internal approvals before it got booked.

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Tekst captures that context.

Because our models are trained on the actual language your teams and customers use, we don’t just map the steps — we understand the friction between them. That lets us detect pain points like slow replies, unclear responsibilities, or high-effort handovers long before they show up in lagging KPIs.

From Insight to Action (Without the Data Overload)

Process mining shouldn’t be a report you read once a quarter. Where you need a whole team of data scientists and engineers to make it actionable. With Tekst, it’s continuous, embedded, and actionable for the start.

Our AI doesn’t just show you what’s broken, it fixes it.

Repetitive tasks? We propose an automation.
Missing information? We flag and draft the reply.
Noisy inboxes? We filter and route in real-time.

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Why It Works

Because we start where work begins, in the inbox.

Because we don’t need clean data to find messy problems.

Because we believe every great process starts with understanding the people behind it.

Process mining doesn’t need more complexity. It needs more relevance.

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Tekst at Hannover Messe 2025.

Tekst Showcases Flemish AI Innovation at Hannover Messe 2025

“Well, I could use this in my cabinet,” the Minister remarked after Tekst’s demo—a strong sign that our solution resonates far beyond just private sector applications.

Revolutionizing the Inbox With AI

Whether it's an overloaded customer service inbox or post-sales processes that drain resources, Tekst ensures teams can focus on what truly matters by:

Automating repetitive emails
Smartly routing messages to the right people
Reading and extracting data from PDFs and attachments
Providing clear insights into communication flows

As Wouter put it:

“We think every Flemish institution could benefit from a little Tekst magic.”

From Flanders to the World

And the best part? You didn’t have to be a Member of Parliament to get the demo—attendees at the Startup.Flanders pavilion were treated to the same live pitch that impressed Minister Diependaele.

What’s Next for Tekst?

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Meta's Release of LLama 4

Meta has launched Llama 4, the latest in its series of large language models. This release marks a major step forward in the AI space, combining advanced capabilities with Meta's open-model philosophy. Llama 4 builds on its predecessors by offering substantial improvements in performance, scale, and multimodal capabilities.

Key Features and Model Variants

Llama 4 is available in several versions, with notable models being Llama 4 Scout (17B active parameters, 109B total) and Llama 4 Maverick (17B active, 400B total). A larger Llama 4 Behemoth (2 trillion parameters) is in development but not yet released. The introduction of Mixture-of-Experts (MoE) architecture allows for more efficient use of parameters, activating only a fraction of them for each query, which results in high performance while managing compute requirements effectively.

Performance and Benchmark Improvements

Llama 4 significantly outperforms previous models like Llama 3, and even competes with the latest models from OpenAI and Google. It handles complex reasoning and tasks more effectively than Llama 3 and delivers better results on key benchmarks. One of the standout features of Llama 4 is its extended context window, which can accommodate up to 10 million tokens for the Scout model—much larger than previous versions. This allows Llama 4 to manage longer conversations or analyze larger documents without losing context, a game changer for many industries requiring deep, long-form analysis. A sidenote: Although Llama 4 models are capable of handling longer context windows, the technical paper indicates that they were only trained with up to 265,000 tokens, not 10 million. Beyond 256,000 tokens, performance may vary.

Multimodal Capabilities

Unlike its predecessors, Llama 4 introduces multimodal abilities, enabling the model to process both text and image inputs. This multimodal functionality positions Llama 4 alongside models like GPT-4, allowing it to analyze and respond to visual information in addition to text, which broadens the range of applications, such as visual question answering or image-based reasoning tasks.

Currently, there is no audio modality, but it's expected that the open-source community will add this functionality in the coming weeks.

Integration with Meta’s Ecosystem

Llama 4 is integrated into Meta’s suite of apps, including WhatsApp, Facebook Messenger, and Instagram. This means users will directly benefit from improved AI assistants across Meta’s platforms. The model can assist with content generation, respond to user queries, and even analyze shared images. The widespread integration ensures that Llama 4 is actively used and refined within Meta’s vast ecosystem, enhancing its real-world utility. This is a trend observed among most model providers, who are expanding into consumer technology (e.g., SearchGPT, B2C licenses, etc.).

Safety and Open-Source Accessibility

Meta has continued its commitment to open-source AI with Llama 4. The model weights for both Scout and Maverick are available for developers to download and experiment with, encouraging community-driven innovation. However, the licensing comes with restrictions, such as prohibiting large-scale commercial use by companies with over 700 million monthly active users. Meta also places a strong emphasis on safety and alignment. Llama 4 comes with tools like Llama Guard to filter unsafe queries and Prompt Guard to ensure the model generates responsible content. These safety measures are designed to mitigate risks of misuse while allowing researchers and companies to harness the model's power. The main advantage is its accessibility, allowing users and developers to customize safeguards and align the model with their specific use cases.

Strategic Importance and Future Outlook

Llama 4 represents a strategic pivot for Meta in the AI race. By offering such powerful capabilities in an open-source format, Meta challenges closed models from competitors like OpenAI and Google. The model's multimodal abilities, longer context windows, and open access make it a strong contender in the rapidly advancing field of conversational AI. Looking ahead, Meta has plans to scale even further with the Behemoth model, and future versions of Llama (Llama 5, Llama 6) will likely push the boundaries of AI even more.

For developers and researchers, Llama 4 offers a flexible, powerful tool for building advanced AI applications across industries. It signals that Meta is positioning itself as a leader in AI development, pushing for openness and innovation at scale. As Llama 4 is integrated more deeply into Meta’s ecosystem, its influence will only grow and it will shape how AI is used across platforms and industries in the years to come.

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