Intent-aware design infrastructure

The semantic layer your funnel has been missing.

MODE resolves component behavior, visual emphasis, and content register automatically โ€” across every page, every visitor type, every funnel stage. No manual variants. No QA overhead.

โ€œWe were maintaining 23 page variants manually across three funnel stages. MODE collapsed that to a single source of truth โ€” behavior and visual emphasis resolved by the system, not the team. The reduction in QA cycles alone justified the switch inside the first quarter.โ€
RO

Rachel Okonkwo

VP of Growth Engineering, Meridian SaaS

Built to reduce cost, not add process.

๐Ÿง 

Semantic resolution engine

โšก

IA planner + multi-variant generation

๐ŸŽจ

Palette map โ€” automatic visual emphasis

๐Ÿ“

Behavioral tokens

๐Ÿ”’

Git-sync deploy โ€” zero runtime dependency

๐Ÿงฉ

Component manifest โ€” 11 components, fully specified

Numbers that hold up under scrutiny.

73%Reduction in time spent on page variant QA, measured across three enterprise customers migrating from manual design-system workflows.MODE internal data, Q1 2025
< 9 minMedian time from brief to fully resolved, multi-variant page architecture using the IA planner and semantic resolution engine.Internal benchmark, 2025
2.4ร—Increase in pages shipped per sprint without additional headcount, reported by growth engineering teams in their first 60 days.Customer survey, 2025

Evaluate MODE against your current stack.

Request early access and see the semantic resolution engine on your own component library โ€” before any commitment is required.

No credit card required. The deployed site never depends on MODE at runtime.

Validator ยท ยท 7/26/2026