Giga LinkedIn · Jul 2026
Giga introduced a Slack interface for Scout that investigates KPI changes, reads supporting conversations, identifies workflows, recommends fixes, and estimates customer impact.
Public company, workplace, funding, and market signals
Updated Aug 2, 2026
Giga (formerly GigaML) is a San Francisco enterprise-AI company that builds agentic customer-support and enterprise-operations software. Its agents handle voice and chat interactions, execute actions in business systems, and continuously analyze conversations and operational KPIs to improve resolution, escalation, and customer-satisfaction outcomes. The company says it supports 99 languages and can deliver approximately 400 ms voice response times.
Primary product
Giga’s agentic support platform, centered on Scout: an AI “forward-deployed engineer” that investigates KPI changes, identifies conversation/workflow failure patterns, proposes fixes, validates them against traffic, and can deploy approved changes. The platform also includes voice, omnichannel, browser-agent, Agent Canvas, Insights, and CLI products.
Founded
2023
Headquarters
San Francisco, California, United States
Team size
Approximately 50–60; LinkedIn company data reported 59 employees in July 2026. Historical YC data reported 30.
Work style
31 jobs at Giga
Onsite
Industry
Software Development / Artificial Intelligence
Sub-industry
Enterprise AI customer-support automation; voice AI and agentic customer operations
Offices
Business model
Stage
Series A, private, generating revenue
Total raised
$64.7M
Latest round
Series A · Nov 2025
Latest amount
$61M
Nov 2025 · Redpoint Ventures
Jul 2025
Oct 2023 · Nexus Venture Partners
Jul 2023 · Y Combinator
Leadership
Co-Founder and CEO
Co-Founder and CTO
VP of Engineering
Sales Director
Founders
Co-Founder & CTO
Public careers material emphasizes craft, ownership, speed, customer obsession, pushing boundaries, fast shipping, and directly improving customer metrics. Recruiting and engineering communications portray a high-intensity, early-stage, in-office environment focused on large enterprise problems and rapid iteration.
Work style
Onsite
Visa sponsorship
Yes
Compensation
Public engineering postings show approximately $150,000–$250,000 for Software Engineer I/II in San Francisco and roughly $290,000–$350,000 for a Staff Backend Engineer listing, plus equity; other job aggregators report broader senior-engineer ranges up to about $400,000. At least one public posting states visa sponsorship and transfers are available, but policy may vary by role.
Benefits
Pricing
No public self-serve price was found. The product appears to be custom-priced, enterprise, and sales-led; buyers are directed to request a demo/contact the company.
Differentiators
Technology
Customers
Competitors
Estimated revenue
Approximately $1M–$10M, based on public LinkedIn/company-data estimates; not company-reported. One data source gives a point estimate of $1M.
Estimated monthly visits
135.1K
Giga LinkedIn · Jul 2026
Giga introduced a Slack interface for Scout that investigates KPI changes, reads supporting conversations, identifies workflows, recommends fixes, and estimates customer impact.
Giga · Jul 2026
Giga’s comparison article positions its product around high-volume multilingual phone support, complex workflows, browser actions, low latency, and spoken-hallucination correction; claims are vendor-reported and should be independently validated.
Giga LinkedIn · Jul 2026
Giga launched a CLI and SDK workflow for versioning agent behavior in Git, uploading knowledge bases, downloading tickets, running tests, and gating deployments in CI.
Giga · Jul 2026
Product launch announcing a command-line interface that exposes the Giga platform for agents, tickets, tests, KPIs, secrets, knowledge base, and deploys.
Giga · May 2026
Research/product post on hallucination correction with zero-latency cost, suggesting a significant platform capability update.