The big picture: Decimal AI, a customer engineering platform for technical support teams, has closed $4 million in seed funding. The company also launched its Customer Engineering Platform, which uses an AI Support Engineer to investigate code, logs, and production data for end-to-end issue resolution.
Why it matters:
- Efficiency gains: Early adopters like Resilinc and Granola have reported significant improvements, with Resilinc cutting resolution times by 62% and Granola handling double its previous ticket volume.
- Addressing rising costs: The platform aims to mitigate the increasing hidden costs associated with software support by automating technical issue resolution.
- Emerging category: Investors like Kearny Jackson predict that customer engineering will develop into its own distinct technology category, driven by AI capabilities.
How it works:
- AI Support Engineer: The platform integrates an AI Support Engineer that can autonomously investigate technical issues by analyzing code, logs, and production data.
- Evidence-based resolution: It surfaces direct evidence from a product’s actual behavior, reducing reliance on secondhand descriptions during support escalations.
- End-to-end issue resolution: The system is designed to resolve technical problems comprehensively, bringing engineering-level understanding directly into customer support conversations.
The catch: The market for AI-driven customer support solutions is rapidly expanding and becoming crowded. Decimal AI will need to clearly differentiate its deep technical understanding and code-level investigation capabilities from more general-purpose AI tools to secure significant enterprise adoption amidst intense competition.
Key Facts
- Company: Decimal AI
- Amount: $4M
- Round: Seed
- Investors: Khosla Ventures and Kearny Jackson (co-lead), Atlassian Ventures, Weekend Fund, Claire Johnson
- Founders: Sanjeet Hajarnis, Kevin Raji Cherian
- Announced: 2026-09-16
- Sector: Customer Engineering AI

