AWS Meetup #50 - hosted by Bytesource

After "winter is coming" we finally can say "spring is coming" to Vienna!

As we had the AWSome GameDay Europe in March, we're now coming back to our regular agenda!

We're visiting The Atelier at Impact Hub Vienna this time, thankfully to the sponsor Bytesource!

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📍 Location
The Atelier
Impact Hub Vienna
Lindengasse 56, 1070 Wien

🕒 When
April 22th 2026
Doors open at 17:00 for networking, food & drinks.
Talks start at 18:00.

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🗓️ Agenda

• 17:00 - 18:00: Entry & Networking
• 18:00 - 18:05: Welcome and Introduction AWS Community Vienna
• 18:05 - 18:10: Welcome and Introduction to the sponsors (Bytesource)
• 18:10 - 19:00: "Sales Copilot: Turn complex technical inquiries into clear, accurate offers in minutes, not hours!"
• 19:00 - 19:20: Networking break
• 19:20 - 20:00: TBA
• 20:30 – Open End: Networking

"Sales Copilot: Turn complex technical inquiries into clear, accurate offers in minutes, not hours!"

Speaker: Alexander Matev (CISO at Bytesource)

About the talk:
Sales CoPilot as a solution that helps teams turn complex technical customer inquiries into clear, accurate quotations much faster, reducing turnaround from hours to minutes.

The business problem: technical sales requests are slow, difficult, and error-prone when handled manually.

The Solution: Our Sales CoPilot interprets complex requirements, works with documentation and technical data, and supports offer preparation.

Technology foundation: strong emphasis on AWS as the enabler, plus AI/LLM-driven processing.
Architecture choice: a set of core AWS services to deliver both the user-facing application and the AI-powered data processing pipeline. Amazon S3 stores uploaded product datasheets and hosts the frontend assets, while Amazon CloudFront accelerates and securely delivers the web interface to users.
Incoming application traffic is routed through an Application Load Balancer (ALB) to containerized services running on Amazon ECS, which handle both backend business logic and document ingestion tasks.
For AI capabilities, Amazon Bedrock is used in two places: to extract and transform structured information from PDF datasheets, and to power the agentic logic behind the application.
Persistent structured data is stored in Amazon Aurora PostgreSQL, which supports read/write operations from the backend.
Together, these AWS services provide a scalable, cloud-native architecture for hosting, processing, AI enrichment, and application delivery.

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💛 Sponsors:

• Bytesource - https://bytesource.net/de/

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📌 RSVP now and invite your colleagues to celebrate, learn, and connect with the AWS community at Impact Hub Vienna!

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