Visual studio ADEPT is moving the use of neural networks from the experimental stage into a full commercial cycle by implementing hybrid pipelines based on the synthesis of classical CGI and generative AI.
What Happened
ADEPT studio (adept.vision) has announced the scaling of its business and the implementation of new AI pipelines into its production processes. By integrating AI technologies with traditional CGI, the company has been able to optimize its clients' budgets by up to 50%. The studio's current portfolio includes projects for major Russian brands, including Sber, VTB, Miratorg, and Pyaterochka, covering the creation of AI video and CG animation.
Context
Previously, the use of neural networks in visual production was often limited to one-off R&D experiments. ADEPT's experience demonstrates the formation of a sustainable commercial model, where a team of 4–5 specialists (AI artists and generalists) works in conjunction with traditional visualization methods, ensuring the applicability of technologies even in the high-end segment of the advertising market.
Why It Matters for the Industry
For the visual effects industry, this signifies a transition toward a standard of hybrid production. The use of AI-driven pipelines allows studios to compete on speed and cost, while traditional players without an integrated AI component risk losing competitiveness. In the long term, the cost structure will shift from man-hours to the efficiency of computing power and model quality.
Why It Matters for Users
For brands and advertising agencies, this provides the opportunity to create high-quality visual content significantly faster and cheaper. Lowering the barrier to entry for complex graphics production allows for the realization of ambitious visual ideas while optimizing production cycles.
Sources
Author
Look at AI, Editorial Team