Product updates from the Vectorial AI team. Every capability shipped on the SAPIENS platform since day one — across three fronts: the behavior model itself, the simulation suite on top of it, and the data sources underneath.
First release of our proprietary human-behavior prediction model.
Multi-persona qualitative sessions, moderated end-to-end by SAPIENS.
Synthetic survey fielding with response distributions in hours, not weeks.
Agentic research that assembles real user panels from across social media.
Professional and community discourse added as panel-sourcing platforms.
Step-by-step behavioral walkthroughs across the full customer journey.
Predicted adoption and reaction testing for product concepts pre-launch.
Customers' first-party data connected directly into the simulation loop.
Expanded the behavioral corpus with two high-signal public platforms.
Real-time social discourse added as a grounding source for personas.
Full production model: higher behavioral fidelity, larger source graph.
25% better than standard LLMs and other behavior foundation models
Populations self-organize into behavioral tribes, segmenting the audience automatically.
Ad and creative concept testing against simulated audience segments.
Simulated chat experiences — how users converse with a product, predicted.
Product-led prototype testing — simulate how users react before you build.
Conversion and messaging response predicted per audience segment.
Simulation run directly on designs, where design already happens.
Simulated user response on Lovable builds, before they reach real traffic.
Variant testing across segments — pick the winner before the traffic split.
Always-on segment insights layered on top of the simulation engine.
Real-human panels wired in to ground, benchmark and calibrate SAPIENS.
Next-generation model, trained on the widened source graph.
33% better than standard LLMs and other behavior foundation models
Fast, lower-cost tier opening simulation to lighter-weight use cases.
AI-run interviews with real participants, feeding enriched signal back into the model.
Consumer intelligence partnership deepening India-market coverage.
Formalized inbound data partnerships to compound the data moat.