Verses Ai Inc · NEO:VERS
Verses Ai — Corporate Update (April 2026)
16 slides from Verses Ai's corporate update, Apr 21, 2026
Slide 1: April 2026 Update
April 2026 Update 21-April-2026 OTCQB:VRSSF CBOE:VERS ©2026 VERSES AI, INC Confidential and Proprietary. 1
Slide 2: Forward Looking Information Disclaimer
Forward Looking Information Disclaimer This presentation contains "forward-looking information" and "forward-looking statements" within the meaning of applicable securities legislation (collectively, “forward-looking statements”). Forward-looking statements can be identified by the use of words such
Slide 3: Agenda
Agenda 1. Business Update 2. About Our Technology: AXIOM 3. Questions and answers 3
Slide 4: Business Update
Business Update 4
Slide 5: Financial services contract extension
Financial services contract extension 5
Slide 6: Professor Friston in the news
Professor Friston in the news 6
Slide 7: About Our Technology: AXIOM
About Our Technology: AXIOM 7
Slide 8: AXIOM overview
AXIOM overview ● World’s first digital brain ● Specialized modules mirror similar functions in the human brain 8
Slide 9: AXIOM: Vision
AXIOM: Vision ● Turns pixels into objects. ● Maps objects as probabilistic fields - increasing efficiency. ● “This is a bomb” ● “This is my catching bucket” ● Mimics the brain’s efficient focusing of vision on what matters, largely ignoring irrelevant information. 9
Slide 10: AXIOM: Memory
AXIOM: Memory 1. Tracks objects over time - so that they aren’t forgotten. 2. “This is the same bomb that I saw one second ago, in a slightly different location” 10
Slide 11: AXIOM: Prediction
AXIOM: Prediction 1. The model probabilistically predicts the paths of the objects that it is now identifying and remembering. 2. “This bomb is going to continue falling down the screen, unless it interacts with the catching basket” 11
Slide 12: AXIOM: Reasoning
AXIOM: Reasoning 1. “What happens if I do this action, given my probability estimates for the trajectories of each object?” 2. AXIOM breakthrough - all these models working together as a team. 3. This unlocks fast learning. 12
Slide 13: AXIOM: Fast learning
AXIOM: Fast learning 1. Rapid learning allows the model to quickly adapt to changes with no warning. 2. Mirrors the human brain which focuses on what matters. 3. Most AIs that encountered a change of color or shape in this game would need to be fully retrained at high cost. 13
Slide 14: AXIOM: Results
AXIOM: Results 0.77 7× 39× ~950K Normalized score Faster learning Less compute Parameters (vs 0.48 Dreamer v3) (3,175 vs 24,207 steps) (0.16 vs 6.23 GPU hrs) (vs 420M Dreamer v3) Detailed comparison Metric Dreamer v3 BBF AXIOM Normalized score 0.48 0.49 0.77 Steps to competence 24,207 16,638 3,175 G
Slide 15: Questions
Questions 15
Slide 16: Next Call May 19, 2026
Next Call May 19, 2026 VERSES May 2026 Update 19-May-2026 OTCQB:VRSSF CBOE:VERS