Harness
Harness helps engineering teams automate and intelligently manage software deployments.
Harness is an AI-powered DevOps platform that automates software deployment, testing, and verification across the development lifecycle. The platform uses machine learning to detect deployment anomalies, intelligently rollback failed releases, and manage progressive delivery strategies. Unlike generalist CI/CD tools, Harness specializes exclusively in continuous delivery and deployment decisions, providing deep optimization for complex deployment scenarios. It serves enterprise engineering teams looking to reduce manual deployment work and improve release reliability.
Problem solved
Engineering teams spend significant time on manual deployment tasks, rollback decisions, and managing deployment failures across environments instead of focusing on product development.
Target customer
Enterprise engineering teams and DevOps organizations managing complex software deployments across multiple environments, particularly those with high-frequency release cycles.
Founders
J
Jyoti Bansal
Founder & CEO
Serial entrepreneur who founded AppDynamics (acquired by Cisco for $3.7B), co-founder of venture capital firm Unusual Ventures, CS degree from IIT Delhi with 25+ US patents.
R
Rishi Singh
Co-Founder & CTO
Led DevOps initiatives at Apple before co-founding Harness, CS degree from IIT Delhi, built founding engineering team and led first five years of product development.
Funding history
Series A
$27.24M
October 2017
Led by Menlo Ventures
· Unknown
Series C
$115M
Unknown
Led by Alkeon Capital Management
· Battery Ventures, Citi Ventures, Norwest Venture Partners
Series D
$230M
April 2022
Led by Norwest Venture Partners
· J.P. Morgan, Capital One Ventures, Splunk Ventures, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, ServiceNow, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, Battery Ventures, Alkeon Capital, GV, Sorenson Capital, Thomvest Ventures, Silicon Valley Bank
Series E
$240M
December 2025
Led by Goldman Sachs Alternatives
· IVP, Menlo Ventures, Unusual Ventures (tender offer component: $40M)
Total raised:
$614M
Pricing
Per-developer subscription model with three tiers: Open Source (free), Free, and Enterprise. Modules are available separately and priced per developer, designed for transparency and scalability.
Integrations
APM tools, logging tools, feature flags, infrastructure as code, artifact registries, cloud cost controls, security automation
Tech stack
jQuery (JavaScript libraries)
core-js (JavaScript libraries)
Zendesk (Documentation)
SWC
parcel
Open Graph
LottieFiles (CMS)
Webflow Ecommerce (Ecommerce)
Zoominfo (Analytics)
Google Ads Conversion Tracking (Analytics)
Microsoft Clarity (Analytics)
Google Analytics (Analytics)
Facebook Pixel (Analytics)
HSTS (Security)
Google Font API (Font scripts)
Apple iCloud Mail (Webmail)
Cloudflare (CDN)
jsDelivr (CDN)
cdnjs (CDN)
6sense (Marketing automation)
Marketo (Marketing automation)
MailChimp (Marketing automation)
Google Ads (Advertising)
Microsoft Advertising (Advertising)
AdRoll (Advertising)
Stripe (Payment processors)
Google Tag Manager (Tag managers)
Webflow (Page builders)
OneTrust (Cookie compliance)
AdRoll CMP System
Sendgrid (Email)
Website
Competitors
CloudBees
Broader Jenkins-focused CI/CD platform, less specialized in deployment optimization and progressive delivery strategies.
GitLab CI/CD
Generalist DevOps platform covering the full development lifecycle, lacks specialized deployment intelligence and ML-powered rollback capabilities.
JFrog
Focuses on artifact management and software supply chain, not deployment orchestration and continuous verification.
LaunchDarkly
Specialized in feature flag management only, whereas Harness provides broader deployment orchestration and progressive delivery platform.
Why this matters: Harness has raised $614M from top-tier investors including Goldman Sachs and ServiceNow, reaching a $5.5B valuation, making it one of the most well-funded DevOps platforms. The company's focus on specialized deployment intelligence and ML-powered automation represents a departure from generalist CI/CD tools, positioning it at the forefront of intelligent software delivery.
Best for: Enterprise engineering teams that need intelligent deployment automation, progressive delivery strategies, and ML-powered rollback capabilities to reduce manual deployment work and improve release reliability.
Use cases
Automated Deployment with Intelligent Rollback
Engineering teams use Harness to automatically detect deployment anomalies through APM and logging data integration, triggering intelligent rollbacks before users are impacted. This reduces incident response time from hours to minutes and prevents user-facing outages caused by bad deployments.
Progressive Delivery Across Multiple Environments
Organizations managing complex multi-environment deployments (dev, staging, prod) use Harness to orchestrate canary deployments, blue-green deployments, and feature flag-controlled rollouts. The platform automates promotion decisions through pipeline orchestration, reducing deployment bottlenecks and enabling faster release cycles.
Compliance and Policy-Based Deployment
Regulated industries use Harness's centralized control plane to enforce security, compliance, and infrastructure policies across all deployments. The template engine enables teams to create reusable, compliant deployment patterns that prevent misconfiguration and reduce security risks.
Alternatives
CloudBees
Choose CloudBees for Jenkins-centric CI/CD pipelines if you have heavy Jenkins investments; choose Harness for specialized deployment orchestration and progressive delivery.
GitLab CI/CD
Choose GitLab if you need an integrated DevOps platform covering code, CI, and CD in one system; choose Harness if you need specialized deployment intelligence and ML-powered verification.
ArgoCD
Choose ArgoCD for GitOps-native Kubernetes deployments; choose Harness for multi-cloud deployments with intelligent rollback and progressive delivery strategies.
FAQ
What does Harness do? +
Harness is an AI-powered software delivery platform that automates deployment, testing, and verification across the software development lifecycle. It uses machine learning to detect deployment anomalies, intelligently rollback failed releases, and manage progressive delivery strategies like canary and blue-green deployments. The platform specializes exclusively in continuous delivery and deployment orchestration, separate from continuous integration.
How much does Harness cost? +
Harness uses a per-developer subscription pricing model with three tiers: Open Source (free), Free, and Enterprise. Modules are available separately and priced per developer. Enterprise pricing is custom and requires contacting sales.
What are alternatives to Harness? +
CloudBees provides Jenkins-centric CI/CD automation; GitLab offers an integrated DevOps platform covering the full development lifecycle; ArgoCD specializes in GitOps-native Kubernetes deployments; LaunchDarkly focuses on feature flag management.
Who uses Harness? +
Enterprise engineering teams and DevOps organizations managing complex software deployments across multiple environments with high-frequency release cycles. Specific customer names are not publicly disclosed.
How does Harness compare to GitLab CI/CD? +
GitLab is a generalist DevOps platform that covers code management, CI, and CD in one integrated system. Harness specializes exclusively in continuous delivery and deployment with ML-powered intelligence for anomaly detection and intelligent rollbacks. Choose GitLab for comprehensive DevOps consolidation; choose Harness for deployment-specific optimization and progressive delivery strategies.
Tags
DevOps
continuous delivery
deployment automation
progressive delivery
ML-powered rollback
pipeline orchestration
feature flags
software delivery