Risk Management · Security and Compliance
However, as a startup, building their own LLM presented a number of practical constraints.
Reported impact
Scatter Lab achieved measurable business impact on Databricks, including 3 Months To build a proprietary LLM with Databricks; 1.5 Million Users Secured in just nine months after launching; 12 Hours Of average weekly engagement on Zeta.
Scatter Lab, a conversational AI startup, is transforming entertainment with their AI-powered B2C platform. Since launching in 2023, their flagship chatbots, Iruda and Nutty, have driven 2 million downloads and 1.1 billion conversations. Their latest innovation, Zeta, blends AI-driven storytelling, character customization and immersive engagement to enhance chat experiences. However, development budget constraints posed a challenge. With Databricks, Scatter Lab built a large language model (LLM) in just three months, fueling rapid growth — 1.5 million users within nine months, each spending over 12 hours per week on Zeta. Now, the company is poised for global growth, including expansion into Japan.
Operational, customer, and transactional data lands in Databricks and is transformed into curated datasets
1.5 Million Users Secured in just nine months after launching
12 Hours Of average weekly engagement on Zeta
3 Months To build a proprietary LLM with Databricks
Since launching in 2023, their flagship chatbots, Iruda and Nutty, have driven 2 million downloads and 1.1 billion conversations.
With Databricks, Scatter Lab built a large language model (LLM) in just three months, fueling rapid growth — 1.5 million users within nine months, each spending over 12 hours per week on Zeta.
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Scoring methodology
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Traceability
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