Kindred Unveils Web3’s First Downside-Protected Companion Presale Featuring SATO

By PressRelease

Singapore, Singapore, December 1st, 2025,

Kindred has introduced the SAFU SATO Presale, a launch model designed to address a long-standing issue in Web3 fundraising: participants take the risk while projects offer no real protection. The new format combines downside protection, shared upside, and an interactive AI companion that anchors the experience.

Built to reduce risk

The presale uses the SAFU Engine, a mechanism that balances risk and reward through three layers:

• Downside protection with a full refund guarantee if $KIN does not TGE by Q1 2026
• Early Bird multiplier rewards
• Colony multipliers that increase as more buyers join

Together, these create a model where the community strengthens the reward pool as participation grows. This approach counters the usual “high risk, no safety net” dynamic seen in token presales.

SATO: An AI companion

At the center of the presale is SATO, the mascot of the Memecore ecosystem, now adapted into a desktop AI companion through Kindred’s platform. Each SATO observes the user's patterns, interacts with them during the day, and generates Sugar Points, which convert into the SATO memecoin ($SUGAR) in 2026.

Purchasing multiple companions also raises a participant’s position on the whitelist leaderboard for the limited 3,333-supply SATO iNFT mint, adding a clear on-chain incentive layer.

Presale schedule and terms

• Price: USD 6.90 per SATO (usual price USD 19.90)
• Dates: 2 December 2025 – 8 December 2025
• Early Bird window: First 72 hours
• Maximum reward multiplier: 6.9×
• Rewards distribution: By Q1 2026
• Refund protection: Included under the SAFU Engine

These elements create a format that blends IP, AI, and shared economics in a way not yet common in Web3.

Users can join the SAFU SATO Presale at sato.kindredlabs.ai 

About Kindred

Kindred builds AI companions that live on users’ devices and connect digital IP with on-chain activity. The platform supports interactive characters that learn user habits, create measurable engagement, and link those interactions to tokenized rewards. Kindred develops tools that help IP holders and Web3 projects introduce companions, reward structures, and digital collectables that operate together in one system.

Website: kindredlabs.ai

X: @Kindred_AI

Contact

Rachelle Irene
rachel@kindredlabs.ai

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