We published a new benchmarking study on our AI model SAPIENS - State of the art in creating synthetic users Learn More
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Backed by Berkeley SkyDeck

Simulate Your
Product Features
With Synthetic Users

Millions of synthetic users think, decide and react like your real users - test and refine every decision before you build.

Accuracy

Vectorial AI is 30% more accurate in predicting how users respond with opinions to different products than standard LLMs, and it outperforms state-of-the-art behavior foundation models in predicting user behavior.

Vectorial AI
Vectorial - (Sapiens 1)
84%
Claude
Claude Sonnet 4
56%
GPT
GPT-5
54%

Success rate in predicting the correct topics of a user persona's opinion given a product and its features

How Synthetic Users Are Made: Real Data, Real Behavior.

Our Synthetic users learn from real users how to Think / Act / Perceive Stimulus. Cross-pollinated from real data, enterprise insights, and user behavior.

1

Public Data

Real voices from Reddit, LinkedIn, YouTube, App Stores, and more.

2

Enterprise Data—Qualitative

Conversations from Gong, Intercom, Productboard, surveys.

3

Enterprise Data - Telemetry

Behavior from Amplitude, Google Ads, analytics tools.

4

Enrichment with Real Users

Validated and refined through real-user feedback loops.

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Simulate every stage of the Product Lifecycle

From Discovery to launch and growth, Vectorial gives you a simulation layer for every decision.

Explore Use Cases

The Challenges

The present approach is limiting teams. While building has become 10x faster, validation has become the real bottleneck in ensuring product success

Slow and Time Consuming

Months-long iteration cycles of user research and experimentation.

Wasted Resources

Budget and engineering time lost building features users don't want.

Innovation Paralysis

Most ideas never get validated. Teams can't afford to test competing hypotheses at scale.

Biased Decisions

Limited samples miss critical user segments. Small focus groups fail to represent diverse populations and edge cases.

Use Cases

Simulate any kind of Product - Text, Voice, Interfaces, Content & more

Design & Prototyping

Prototype & Usability Testing

Run synthetic users through prototypes and flows to identify friction points and usability issues before development.

Ideation & Validation

Concept Screening & Idea Validation

Get instant synthetic user reactions to early ideas—test messaging, value props, and concepts before investing in development.

Ideation & Validation

Voice Assistant Conversation Design

Test IVR flows, voice prompts, and call routing with synthetic callers to optimize before deployment.

Design & Prototyping

Chatbot Intent & Response Optimization

Simulate user queries to test bot understanding, response accuracy, and identify dialogue gaps before launch.

Marketing & Content

Marketing Message & Positioning Testing

Test campaign copy, value propositions, and messaging angles with synthetic audiences to optimize resonance before launch.

Marketing & Content

Content Variation & A/B Testing

Generate and test multiple content variations—headlines, CTAs, product descriptions—to identify highest-performing versions.

Trusted by product teams from

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Entelligence AI logo
Sondermind logo
Dopplr logo
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Entelligence AI logo
Sondermind logo
Dopplr logo
Galileo logo
Entelligence AI logo
Sondermind logo
Dopplr logo
Galileo logo
Entelligence AI logo
Sondermind logo
Dopplr logo

Hear from product leaders

See how teams are using Vectorial to transform their product development process

"We used synthetic users persona focus group to test multiple hypotheses in days as we were planning multiple new features This saved us many days of work and helped build conviction on our roadmap."
Colter Corish
"Vectorial helps us in constant discovery and validation of our user needs which is crucial to the success of our PLG motion which spans across a variety of user personas."
Yash Sheth
"Vectorial synthetic users are helping us to design Uls for different segments. We needed scalable and personalized user insights to validate what works and fix broken funnels."
Sresht Agrawal
"We have onboarding journeys for 3 different personas, we want to optimize design for it - synthetic users are helping us understand how to make design changes for these personas reducing time to iterate on them with user significantly"
Aiswarya Sankar

Ready To Get Started?

Join the next generation of product development