2–5 February 2026
Qatar National Convention Centre, Doha
Visit us at Stand 8105
LNG2026 is where the global gas industry gathers to discuss technology, investment, and operational excellence. We are attending to show operators what trusted Enterprise AI actually looks like in practice. We focus on explainable autonomy, Soverign GenAI, Agentic AI, and an AI Education you can trust inside high-value LNG operations.
This is not theoretical. It is real, deployable, and engineered for harsh, constraint driven environments.
You will gain value from our sessions if you are responsible for:
We specialise in AI that respects the realities of LNG plants, terminals, and integrated operations.
Our senior leadership, engineers, and product specialists will be in Doha throughout the week to discuss:
Event: LNG2026 – 21st International Conference & Exhibition on Liquefied Natural Gas
Dates: 2–5 February 2026
Location: Qatar National Convention Centre, Doha
Beyond Limits Stand: 8105
Official event site: lng2026.com
Exhibitor listing: Beyond Limits
Registration and programme information available on the LNG2026 website
Book a Meeting with Beyond Limits at LNG2026
Make the most of your time in Doha. Request a meeting with our team to explore how AI can help you improve uptime, reduce operational risk, and scale expertise across your LNG organisation. We will prepare a customised demo aligned to your specific challenges and assets.
AI only delivers value when the workforce understands how to use it. That is why we are offering exclusive, invitation-only AI Academy Taster Sessions during LNG2026.
These sessions give your organisation a first look at the same practical training program we use to:
This is a focused, hands on experience designed for teams who want to modernise skills, accelerate safe adoption, and build an AI ready operating model. Each session is tailored to your operational environment so your team walks away with clarity, not theory.
Use the booking form below to request one of the eight available slots for your organisation.
Spaces will be allocated on a first come, first served basis.