Efficient Computer

Efficient Computer builds general-purpose, energy-minimal processors for edge and embedded AI. Its Fabric architecture is a reconfigurable spatial dataflow array that maps application graphs directly onto hardware, eliminating the wasteful data movement of traditional Von Neumann CPUs. The Electron E1 processor pairs the Fabric with an integrated RISC-V scalar core to deliver up to 100x better energy efficiency than low-power CPUs, and the proprietary effcc compiler acts as a drop-in replacement for GCC/Clang that extracts dataflow from C, C++, and TensorFlow Lite while preserving GDB-compatible debugging. Efficient Computer is a silicon and developer-toolchain company based in Pittsburgh, Pennsylvania, backed by Union Square Ventures, targeting on-device AI inference, IoT, and industrial and physical-AI systems that must run for years on a single charge.

Efficient Computer is profiled on the APIs.io network. Tagged areas include Company, Semiconductors, Processors, Edge AI, and Embedded Systems.

Efficient Computer’s developer surface includes documentation, getting-started guide, sandbox, signup flow, engineering blog, support, FAQ, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.4/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanySemiconductorsProcessorsEdge AIEmbedded SystemsEnergy EfficiencyCompilersDataflow ArchitectureRISC-VIoT

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 20.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 8.3 / 20

Commercial Clarity 4.7 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/efficient-computer: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

Sandbox

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

Support

Support

FAQ

FAQ

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Bluesky

Bluesky

Source (apis.yml)

aid: efficient-computer
name: Efficient Computer
description: Efficient Computer builds general-purpose, energy-minimal processors for edge and embedded AI. Its Fabric architecture
  is a reconfigurable spatial dataflow array that maps application graphs directly onto hardware, eliminating the wasteful
  data movement of traditional Von Neumann CPUs. The Electron E1 processor pairs the Fabric with an integrated RISC-V scalar
  core to deliver up to 100x better energy efficiency than low-power CPUs, and the proprietary effcc compiler acts as a drop-in
  replacement for GCC/Clang that extracts dataflow from C, C++, and TensorFlow Lite while preserving GDB-compatible debugging.
  Efficient Computer is a silicon and developer-toolchain company based in Pittsburgh, Pennsylvania, backed by Union Square
  Ventures, targeting on-device AI inference, IoT, and industrial and physical-AI systems that must run for years on a single
  charge.
url: https://raw.githubusercontent.com/api-evangelist/efficient-computer/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- union-square-ventures
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://cdn.prod.website-files.com/66b5df5cfbd0a22c4c71f73a/66f684f123149d908cb92e49_opengraph.jpg
tags:
- Company
- Semiconductors
- Processors
- Edge AI
- Embedded Systems
- Energy Efficiency
- Compilers
- Dataflow Architecture
- RISC-V
- IoT
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
- FN: Efficient Computer
  email: contact@efficient.computer
common:
- type: Website
  url: https://www.efficient.computer
- type: DeveloperPortal
  url: https://docs.efficient.computer/
- type: Documentation
  url: https://docs.efficient.computer/
- type: GettingStarted
  url: https://www.efficient.computer/technology
- type: Sandbox
  url: https://playground.efficient.computer/
- type: SignUp
  url: https://www.efficient.computer/playground-signup
- type: Blog
  url: https://www.efficient.computer/resources
- type: Support
  url: https://www.efficient.computer/contact
- type: FAQ
  url: https://www.efficient.computer/faq
- type: PrivacyPolicy
  url: https://www.efficient.computer/privacy-policy
- type: GitHubOrganization
  url: https://github.com/EfficientComputer
- type: LinkedIn
  url: https://www.linkedin.com/company/efficientcomputer/
- type: Twitter
  url: https://x.com/efficient_hq
- type: YouTube
  url: https://www.youtube.com/@EfficientComputer
- type: Bluesky
  url: https://bsky.app/profile/efficientcomputer.bsky.social
- type: LLMsTxt
  url: llms/efficient-computer-llms.txt
- type: DomainSecurity
  url: security/efficient-computer-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence