A scientific project using artificial intelligence to portray each marine depth, from the sunlit surface down to the deepest oceanic trench.
Abysscope was born from a fascination with the ocean's vertical world. From coral reefs to black smokers, from abyssal plains to hadal trenches, the sea reveals itself differently at every depth. This project generates photorealistic scenes representing what science knows today about each of these zones.
From sunlit pelagic schools to chemosynthetic ecosystems on mid-ocean ridges, from polymetallic nodule fields to abyssal fish in the deepest trenches — every scene is created by the most advanced AI models available, then submitted to rigorous scientific review.
For each marine depth / zone, we compile a thorough research dossier: physical conditions (pressure, temperature, light), fauna and flora, dominant geological and biological phenomena. This data is the foundation for generating visual representations faithful to scientific reality.
Every image and description is examined by a scientific committee composed of several independent artificial intelligences. These AIs evaluate the scientific accuracy of the content: are the proportions correct? Do the represented phenomena match current knowledge?
With every scientific advance — new observations, experimental discoveries, theoretical models — our knowledge base grows richer and our representations gain in accuracy. When a new AI model becomes available, it challenges existing evaluations with new perspectives.
The committee is composed of the most advanced models from each AI provider. Each member independently evaluates images and texts, then a collective vote determines the final verdict.
Reference model for reasoning and textual analysis.
Excellence in nuance, factual rigor and detailed critical analysis.
Multimodal vision and vast scientific knowledge base.
Alternative perspectives and ability to challenge consensus.
Matania, an orchestration AI developed by ProductivIA, coordinates the entire review process. It synthesizes the evaluations of each committee member, produces a final verdict, and decides the actions to take: approve, adjust, or regenerate.
Compiling a scientific dossier for the marine depth / zone: physical conditions, fauna, geology.
Creating photorealistic scenes using a generative AI model, based on scientific data.
Independent evaluation by each member of the scientific committee.
Matania consolidates the opinions and produces a final verdict.
If needed, the image or text is adjusted or regenerated, then re-evaluated.
The knowledge base built here serves as a foundation for immersive scientific discovery experiences:
Abysscope uses the latest AI models from the world's leading providers: OpenAI, Anthropic, Google, and xAI. Orchestration is handled by Matania, a sovereign AI infrastructure developed in Quebec by ProductivIA.
A creation by Opus numériques