AI MARKET MAP

Giga

https://giga.ai/ Research Team Data
Active

Enterprise AI support-agent platform that deploys human-like voice, chat, and multimodal agents for customer support and operations, automating complex workflows across channels.

Giga builds AI support agents for enterprises that can handle voice, chat, email, messaging, and browser-based workflows. Its Agent Canvas lets teams create agents from transcripts, recordings, SOPs, policies, and workflows, set guardrails, simulate edge cases, monitor performance, and refine policies. The platform emphasizes human-like voice, multilingual support, sub-second/low-latency responses, policy-governed execution, integrations with existing systems, and Browser Agent capabilities that complete tasks inside browser-based or legacy tools without requiring APIs.

Positioning

Human-like AI agents for enterprise customer support and operations

Key facts

HQ location
San Francisco, CA, USA
Founded
2024
Employee range
51-200 (51-200 (LinkedIn; YC lists team size 30))
Funding stage
Series A
Company type
Private (Private)
Pricing model
Custom Quote Subscription (Custom enterprise SaaS / demo-based pricing; public pricing not disclosed)
Last updated
Jun 21, 2026

Revenue estimate

Undisclosed

Valuation estimate

Undisclosed (Fortune reported post-investment valuation was not disclosed)

Investments

$64.6M disclosed funding: $3.6M seed led by Nexus Venture Partners in Oct 2023; $61M Series A led by Redpoint in Nov 2025 with Y Combinator and Nexus Venture Partners participating

Target customers

Large enterprises, customer support teams, CX leaders, operations teams, and contact centers handling high-volume complex support workflows

Key competitors

Sierra, Decagon, Ada, Parloa, Cognigy, Kore.ai, Fin/Intercom, Zendesk AI, Vapi, ElevenLabs

Known customers

DoorDash, Postman, Rio, Capital.com, Afriex, Toast, Remedy Meds, Flex

Classification (raw research text)

Core focus
AI support agents, voice AI, omnichannel customer support automation, and browser-based workflow execution
Core industry
Customer support / CX / Enterprise operations
Core category
AI support agent / Voice AI contact center automation platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Primary focus
  • Agent Builder / Agent Configuration Primary focus
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Secondary feature
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Secondary feature
  • Conversation Intelligence / Speech Analytics Secondary feature
  • Text Chatbots / Conversational Assistants Primary focus
  • Voice AI Agents Primary focus
  • Voice Infrastructure / STT / TTS Secondary feature
  • AI for Customer Experience / Support Automation Primary focus
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Primary focus
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Primary focus
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Primary focus
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Secondary feature
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Not emphasized
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Not emphasized
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Secondary feature
  • Conversation Intelligence / Speech Analytics Secondary feature
  • Text Chatbots / Conversational Assistants Primary focus
  • Voice AI Agents Primary focus
  • Voice Infrastructure / STT / TTS Secondary feature
  • AI for Customer Experience / Support Automation Primary focus
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Not emphasized