Simulate your customer base
Simulate your customer base
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Use Cases
Create digital twins
of your consumers
Create digital twins
of your consumers
Create digital twins
of your consumers
Consumer Research
Product Validation
Technology
How does it work?
How does it work?
How does it work?
We fine-tune open-source LLMs based on existing customer data
Initial Customer Data
Customer provide us with seed data they collected from their consumers
LLM Fine-tuning
Based on the data we fine-tune the LLMs to align them with their preferences
Proprietary Prompting
We use validated prompting techniques
Digital Twins
We provide the digital twins for your consumers as an api
Initial Customer Data
Customer provide us with seed data they collected from their consumers
LLM Fine-tuning
Based on the data we fine-tune the LLMs to align them with their preferences
Proprietary Prompting
We use validated prompting techniques
Digital Twins
We provide the digital twins for your consumers as an api
Initial Customer Data
Customer provide us with seed data they collected from their consumers
LLM Fine-tuning
Based on the data we fine-tune the LLMs to align them with their preferences
Proprietary Prompting
We use validated prompting techniques
Digital Twins
We provide the digital twins for your consumers as an api
Ecosystem
We build open-source
We build open-source
We build open-source
We believe in open-source software and are actively developing the engine and the ecosystem open-source. We want to inspire everyone to build on our foundational layer for consumer simulations.
We believe in open-source software and are actively developing the engine and the ecosystem open-source. We want to inspire everyone to build on our foundational layer for consumer simulations.
Vision
