Higgsfield AI hosts Data Day in Almaty on agentic AI and synthetic data Other

San Francisco-based generative AI startup Higgsfield AI held an engineering conference in Almaty on November 7, 2026, streaming technical sessions on agentic AI determinism, automated antifraud moderation, and synthetic data testing.

The event brought together founders, researchers, and data engineers from Higgsfield AI and the regional machine learning community. Talks focused on the practical challenges of running generative video workloads and deploying autonomous agents with high-stakes production permissions.

What it is

• Agentic AI determinism. Valeriy Babushkin presented strategies for establishing deterministic baselines in non-deterministic agent workflows.
• Autonomous moderation risks. Higgsfield Anti-Fraud Lead Roman Yashchenko analyzed safeguards required when granting autonomous agents ban authority over 50,000 user accounts.
• Synthetic A/B testing. Anatoliy Karpov demonstrated simulation frameworks spanning Monte Carlo methods to synthetic user personas for pre-deployment testing.
• Metric divergence. Igor Kotenkov examined discrepancies in evaluation benchmarks and scoring consistency across complex model outputs.
• Ecosystem and industry research. Anuar Aimoldin outlined bridges between open research communities and production industry deployments.
• Startup growth diligence. Higgsfield Head of Data Didar Nurkair reviewed common failure points in technical and business diligence with venture investors.

About Higgsfield AI

Higgsfield AI develops generative video and image models for creators and enterprises. Founded by Erzat Dulat and Alex Mashrabov, the company operates in San Francisco and has reached a private valuation exceeding $1.3 billion.

Sources

• Higgsfield AI Platform
• Higgsfield Data Day Live Stream
• DSML Kazakhstan Event Announcement