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Harness

Software Development

Address55 Stockton St, San Francisco, CA 94108

Phone(855) 879-7727

Websiteharness.io

Email[email protected]

Socialfacebook.com

AI-native software delivery platform automating CI/CD, infrastructure as code, testing, security and cloud cost management with AI agents.

Prices

Item / service	Price	Source
Data Science	$31,700	website, 2026-10-14
Product	$24,100	website, 2026-10-14
Idle EC2 instances	$16,200	website, 2026-10-14
Untagged workloads	$3,800	website, 2026-10-14
Cost per Token	$47.83	website, 2026-10-14
Cost per Inference	$58.77	website, 2026-10-14
Cost per Session	$117.56	website, 2026-10-14
Cost / M Tokens	$9.74	website, 2026-10-14
Ml-inference-gpu Spike +	$12	website, 2026-10-14
Gpt-proxy-prod Threshold +	$3	website, 2026-10-14
Detected in real time	$16	website, 2026-10-14
Cost per Token	$3.83	website, 2026-10-14
Cost per Inference	$5.77	website, 2026-10-14
Cost per Session	$7.56	website, 2026-10-14
Monthly Waste	$18	website, 2026-10-14

Prices as published by the business on the date shown. Confirm with the business before buying.

Services

Harness Plans
Understand what's driving cloud and AI spend
Cost Management Agent: safely scale cloud and AI usage
Unit economics for every dollar of AI and token spend
From visibility to governance, fully covered
AI cost management for the Agent DLC
Every team has a cost problem we help solve
See how AI and Cloud Costs stacks up
Real companies. Real savings.
Works with every major cloud and FinOps tool
Frequently asked questions
Get started with Harness Cloud Cost Management
AI Cost Management
Tokenomics
Optimization & automation
Commitment Orchestrator
AutoStopping
Cost governance
Cluster Orchestrator
Agent DLC Support
Turn cloud and AI cost data into action
Key cost management features
Spend control your CFO will trust
Explore the autonomous SDLC platform
Powered by 100+ integrations
Get started with Harness Cost Management Agent
Know what your AI actually costs
Spot overspending before it compounds
Catch cloud waste before it adds up
Unit Attribution

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Sources: meta (CDLA-Permissive-2.0); business website read 2026-10-14. About our data.