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Tech deals: Loti, Snowflake, Forter

Technology companies such as Loti, Snowflake, Forter, and others, announced their tech deals or channel partnerships.

tech deals
tech deals Credit Facebook

Loti Partners with Underscore Talent

Loti has partnered with Underscore Talent to protect likeness rights for a global roster of digital creators amid the rise of deepfake misuse. The strategy focuses on deploying Loti’s proprietary AI technology to detect, monitor, and remove unauthorized use of creator identities across the internet. By combining talent representation expertise with AI-driven monitoring, the partnership delivers proactive rights protection and enforcement at scale. The innovation lies in real-time detection and rapid takedown workflows that safeguard digital identities. Creators benefit from stronger brand protection, reduced reputational risk, and long-term monetization security, supporting sustainable growth in the creator economy.

Hightouch Partners with Snowflake

Hightouch has partnered with Snowflake to accelerate AI-driven energy operations through real-time data activation. The collaboration integrates Hightouch’s reverse ETL and data activation platform with Snowflake’s Data Cloud, enabling energy companies to operationalize analytics across operational and customer systems. The strategy centers on transforming raw energy data into actionable insights for forecasting, asset optimization, and demand planning. Advanced data synchronization and AI-ready pipelines support innovation in predictive operations and decision automation. Customers benefit from faster insights, improved operational efficiency, and scalable data workflows that support digital transformation and long-term growth across energy value chains.

Forter Partners with Global QSR Leader

Forter has partnered with a global quick service restaurant leader to strengthen digital fraud prevention across high-volume online transactions. The strategy leverages Forter’s AI-based Trust Platform to deliver real-time fraud detection, payment optimization, and account protection at scale. By applying network-level intelligence and machine learning, the technology reduces false declines while identifying genuine fraud risk. Innovation focuses on balancing security with frictionless customer experiences in digital ordering and loyalty ecosystems. Customers benefit from safer transactions, improved approval rates, and seamless checkout experiences, while merchants gain lower fraud losses and stronger digital growth performance.

THASNIYA VP

Baburajan Kizhakedath
Baburajan Kizhakedath
Baburajan Kizhakedath is the editor of InfotechLead.com. He has three decades of experience in tech media.

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