Decimal provides an automated investigation layer that reasons over a company’s source code, configurations, logs, databases, and real‑time production data to pinpoint the root cause of support and engineering incidents. By integrating with existing tools such as Salesforce, Jira, GitHub, and Slack, it delivers evidence‑based answers directly within teams’ workflows, reducing escalation time and accelerating issue resolution.
Funding
Funding not disclosed
Founders
Product
Problem
Support and engineering teams often spend extensive time manually gathering code, configuration, logs, and production data to diagnose incidents, leading to delayed resolutions and frequent escalations.
Solution
Decimal provides an investigation layer that automatically reasons over a company's source code, configurations, logs, and real customer usage data to pinpoint the root cause of issues. By integrating directly into existing tools such as Salesforce, GitHub, Jira, and Slack, it delivers actionable answers within the workflows teams already use. The platform builds an internal understanding of the product from code and documentation, learns from historical tickets and usage patterns, and presents evidence‑backed resolutions without requiring data to train external models. This reduces escalation time, accelerates issue resolution, and improves operational clarity for organizations of any size.
Target Audience
Primary customers are support and engineering teams at SaaS companies, enterprises, and startups that manage complex codebases and need faster incident investigation within their existing ticketing and collaboration platforms.
Features
- Automated root‑cause analysis that ingests code, configs, logs, databases, and production data
- Real‑time answers delivered inside existing tools (Salesforce, Jira, GitHub, Slack) with no workflow changes
- Evidence‑based responses citing specific code lines, log entries, and configuration settings
- Read‑only, secure connections to customer data with end‑to‑end encryption, SSO, RBAC, and audit logging
- Tenant isolation and optional private storage or VPC deployment for sensitive environments
- No training on customer data; the system does not use proprietary data to train foundation models