---
title: "EnCharge AI"
type: "entity"
entity_kind: "concept"
status: "hub"
canonical_name: "EnCharge AI"
aliases: ["EnCharge"]
first_seen: "2026-07-31T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["Naveen Verma","EN100","switched-capacitor in-memory compute","ISSCC","benchmark verification"]
---


Company spun out of Naveen Verma's Princeton lab, maker of the EN100 analog in-memory-compute inference chip. Its architectural pitch inverts the dominant analog-AI story: instead of resistive-memory (RRAM/memristor) conductance, it multiplies via lithography-defined switched capacitors, trading device-state precision for CMOS geometry precision. As of 2026-07-31 the EN100 is still gated behind an Early Access Program, and every published efficiency figure (200 TOPS at 8.25 W, "up to 20x" performance-per-watt) is company-sourced with no independent benchmark or stated comparison baseline located — the load-bearing open question for this cluster.

## References
- [[claim-encharge-en100-switched-capacitor-in-memory-compute]] · [[claim-no-independent-benchmark-of-encharge-en100-efficiency-figures]] · [[claim-encharge-en100-20x-per-watt-claim-has-no-stated-baseline]] · [[claim-2021-isscc-verma-lab-chip-is-primary-precedent-not-en100-evidence]]
- [[question-verify-encharge-en100-efficiency-primary]]
- Related hubs: [[entity-naveen-verma]]