Venture
Scendica
Clarify your story for competitive college applications.
The problem
Applicants struggle to translate experiences into a coherent narrative. Transfer students also face opaque articulation paths and inconsistent advising.
Our approach
Applicants build a structured profile; we score it against UC prompt and admissions rubrics, flag gaps, and run a narrative engine that clusters experiences into themes and draft articulations. For transfers, an articulation layer maps coursework to target requirements and suggests what still needs covering. Ivy League and Stanford evaluators are next on the same pipeline.
Overview
Scendica is built as an evaluation-plus-narrative stack, not a generic essay chatbot. Profile data feeds rubric-aligned scoring for UC applications today; the narrative module turns raw activities into a coherent story applicants can revise. Transfer students get articulation maps instead of scattered advice. The same architecture extends to Ivy League and Stanford once those rubrics are wired in.
Capabilities
What it does
Rubric-aligned profile scoring for UC applications
Theme clustering and narrative drafts from real experiences
Course-to-requirement articulation maps for transfers
Shared pipeline ready for Ivy League and Stanford rubrics
Stack