Giga

Giga (legal name Giga AI, Inc.; formerly Giga ML) is a San Francisco-based agentic AI company that builds human-like voice, chat, and multimodal AI agents for high-volume enterprise customer support. Its agents run on a unified real-time orchestration layer that listens, reasons, checks connected systems, and responds in roughly half a second, resolving issues end to end rather than merely deflecting. Agents are built in Agent Canvas, a low-code studio that auto-writes policies from uploaded transcripts, and support 90 languages with real-time hallucination correction. Backed by Redpoint Ventures, Y Combinator, and Nexus Venture Partners (USD 61M Series A); customers include DoorDash, Toast, Postman, and Capital.com.

Giga is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Voice AI, and Customer-Support.

Giga’s developer surface includes documentation, signup flow, engineering blog, support, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.5/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence AI Agents Voice AI Customer-Support Conversational AI Contact Center Agentic AI Enterprise

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 18.5/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 2.9 / 20

Access Clarity 7.4 / 20

Operational Transparency 0.3 / 13

Contract Governance 2.2 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/giga: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Giga Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Giga Trust Center

SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: giga
name: Giga
description: Giga (legal name Giga AI, Inc.; formerly Giga ML) is a San Francisco-based agentic AI company that builds human-like
  voice, chat, and multimodal AI agents for high-volume enterprise customer support. Its agents run on a unified real-time
  orchestration layer that listens, reasons, checks connected systems, and responds in roughly half a second, resolving issues
  end to end rather than merely deflecting. Agents are built in Agent Canvas, a low-code studio that auto-writes policies
  from uploaded transcripts, and support 90 languages with real-time hallucination correction. Backed by Redpoint Ventures,
  Y Combinator, and Nexus Venture Partners (USD 61M Series A); customers include DoorDash, Toast, Postman, and Capital.com.
url: https://raw.githubusercontent.com/api-evangelist/giga/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- redpoint-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://giga.ai/og/og-default.png
tags:
- Company
- Artificial Intelligence
- AI Agents
- Voice AI
- Customer-Support
- Conversational AI
- Contact Center
- Agentic AI
- Enterprise
tags_raw:
- Company
- Ai
- Artificial Intelligence
- AI Agents
- Voice AI
- Customer Support
- Conversational AI
- Contact Center
- Agentic AI
- Enterprise
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://giga.ai/
- type: Documentation
  url: https://docs.giga.ai/
- type: DeveloperPortal
  url: https://docs.giga.ai/
- type: SignUp
  url: https://console.gigaml.com/
- type: Login
  url: https://console.gigaml.com/
- type: Blog
  url: https://giga.ai/news
- type: Support
  url: https://giga.ai/contact
- type: TermsOfService
  url: https://giga.ai/terms-of-service
- type: PrivacyPolicy
  url: https://giga.ai/privacy-policy
- type: GitHubOrganization
  url: https://github.com/gigaml
- type: LLMsTxt
  url: llms/giga-llms.txt
- type: Packages
  url: packages/giga-packages.yml
- type: SDKs
  url: packages/giga-packages.yml
- type: Conformance
  url: conformance/giga-conformance.yml
- type: Compliance
  url: https://trust.giga.ai/
- type: TrustCenter
  url: security/giga-trust-center.yml
- type: DomainSecurity
  url: security/giga-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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