Encore Commits $100 Million to Expand AI and Immersive Event Technology

Jun 12, 2026
Encore announced a $100 million investment for 2026 to develop new products and upgrade existing event technology, including AI tools, immersive displays, and advanced audio solutions for live corporate events.

Encore announced in a press release a $100 million investment for 2026 to expand its product portfolio and upgrade existing inventory aimed at enhancing live corporate events. The company plans to introduce new digital and AI driven tools, immersive display systems, and improved audio and lighting solutions across its global network.

Encore’s expanded digital tools include the Event Solutions Explorer, which allows customers to visualize and compare setups with 360 degree room views, floorplans, and product hotspots. The company also introduced new lookbooks, proposal tools, and 3D renderings to streamline event planning.

The AI powered features include tools for content creation, accessibility, and engagement. These capabilities provide real time captioning, translation, and transcription for large format video systems, along with AI enhanced video introductions for speakers and cinematic brand videos.

Encore is also standardizing smart column speakers for small and midsize venues in the United States, replacing traditional setups for clearer sound and easier production. The upgrades extend to LED displays, lighting, and scenic designs, enabling more flexible and visually engaging event environments.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.