Era Computer
Software platform / OS layer for AI wearables (glasses, rings, pendants, speakers) that abstracts hardware from AI orchestration. Memory and model providers are pluggable and user-controlled rather than cloud-locked; supports 130+ LLMs from 14+ providers. Founded 2025 by ex-Humane team.
At a glance
- Type
- User-sovereign pluggable memory layer for wearable OS
- Tier
- T5
- Section
- Voice-first / wearable AI memory
- Created
- 2025-01
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- not applicable — not commercial
- Funding
- $11M total Seed · 2026-04
Taxonomy
- storage
- proprietary
- retrieval
- agentic
- persistence
- long-term
- update
- agent-controlled
- unit
- file
- governance
- user-controllable
- conflict
- none
When to use
Optimised for: always-on capture + lifelog timeline + voice UX
Anti-fit: not for enterprise compliance-regulated environments without explicit consent flows
Pros & cons
Pros
Addresses vendor lock-in for wearable memory directly; neutral OS positioning means memory sovereignty is a first-class design constraint rather than an afterthought.
Cons
No shipping product described; memory architecture is high-level positioning, not a published technical design; competing against Apple, Meta, and Google's proprietary stacks.
Claims & capabilities
$11M raised April 23, 2026 ($9M seed Abstract Ventures + BoxGroup; $2M pre-seed Topology + Betaworks).
Technical surface
- API surface
- not applicable — theoretical / not a system
- Backend storage
- not applicable — theoretical / not a system
- Deployment
- not applicable — not a deployable product
- Embedding model
- not applicable — theoretical / not a system
- Multi-tenancy
- not applicable — theoretical / not a system
- MCP
- not applicable — theoretical / informal idea
- A2A
- not applicable — theoretical / informal idea
- OpenTelemetry
- not applicable — theoretical / informal idea
Similar systems
Other voice-first / wearable ai memory in the catalog, ranked by inbound references.
- Bee T1
Small wearable (pendant / clip / bracelet). Continuous capture; converts speech to text immediately; never stores raw audio . Daily summaries, personal fact sheet, to-do suggestions. Cloud processing on derived text only.
- Friend T1
Pendant necklace (~2 inches). Always-on listening feeds a persistent AI companion persona. Companionship-framed rather than productivity / recall. Cloud LLM backend; no detailed encryption claims.
- Granola T1
Mac/iOS app (no hardware). Captures meeting audio via system-audio tap (no bot joining); generates notes from your shorthand + audio. Local audio processing claim; cloud for summaries. Enterprise tier opts out of model training.
- Limitless T1
Continuously captures screen + audio + wearable input; AI search across the timeline. Privacy-first (local-first storage). Originated as Rewind macOS app; pivoted to wearable + lifelog product.
- Memories.ai LVMM 2.0 / Project LUCI T2
Developer-first reference platform for AI wearables. LVMM 2.0 captures visual data through video, encodes it into frames on-device, and stores moments as searchable memories; companion app surfaces past conversations/decisions/experiences. Hardware-level security via Qualcomm partnership; cloud sync for enterprise tiers.
- Omi T1
Wearable orb (necklace or clip) with open-source hardware + firmware. Continuous audio capture; real-time GPT-4o transcription; searchable memory graph. Supports app screen capture too. Hybrid privacy: cloud by default (SOC 2/HIPAA/AES-256), full local/self-hosted available under MIT.