About Harness
Harness is building the AI-native commercial insurance brokerage.
Commercial insurance is a $1T+ market, but the brokerage layer still runs on manual judgment, fragmented workflows, repetitive coordination, and tribal knowledge. A outstanding broker does much more than sell insurance. They understand a business, identify its risks, determine which insurance companies are likely to write it, prepare the right submission, compare quotes, guide the customer, and get the policy bound.
Today, nearly every step of that process requires humans to move information between systems, coordinate across different parties, and decide what happens next.
Harness is building software to automate that entire funnel.
We break the brokerage workflow into its underlying decisions and tasks, identify the bottlenecks, and build systems that make each step faster, smarter, and increasingly autonomous. The goal is not to build a better CRM for insurance brokers. The goal is to build an autonomous brokerage.
Harness started in January 2026. In our first 8 months,
we grew to $1M ARR and are targeting $3M ARR by the end of 2026.
We are well-funded, growing quickly, and still early enough that the systems you build will define how the company operates.
What We Are Building
Think about the lifecycle of a commercial insurance account:
Lead → Qualification → Intake → Risk Understanding → Coverage Requirements → Market Selection → Submission → Carrier Follow-Up → Quotes → Comparison → Negotiation → Binding → Servicing
At every stage there are decisions, dependencies, and operational bottlenecks. Our job is to understand those workflows deeply and progressively automate them.
Our engineering process is straightforward:
Understand how the workflow works today
Identify the biggest bottleneck or source of manual work
Determine what judgment, context, or data is required to complete it
Build software or AI systems that can perform that work reliably
Measure the impact
Move to the ne
📌 Founding Engineer (India)
🏢 Harness
📍 India