# Decimal > Decimal gives support the context engineering uses to debug, so teams resolve technical issues faster, with evidence and fewer escalations. Last reviewed: 2026-07-22 Full product facts and blog text: https://www.decimal.app/llms-full.txt Each blog article is also available as Markdown at its canonical URL followed by `.md`. ## Key answers - **What is Decimal?** Decimal is an AI support engineer for technical B2B products. It investigates customer issues across code, logs, configurations, production data, documentation, and past tickets, then returns an evidence-backed investigation and a draft response inside the support team's existing workflow. - **Who is Decimal for?** Decimal is for support, engineering, solution architecture, and product operations teams that handle technical customer issues. It is especially useful when resolving a ticket requires product or engineering context spread across several systems. - **How does Decimal work?** When an issue arrives, Decimal reads the ticket and approved customer context, searches connected technical systems, traces the relevant behavior, and drafts findings with citations. The team reviews the evidence and decides how to respond or escalate. - **How is Decimal different from a generic support chatbot?** Generic support chatbots usually answer from documentation or a knowledge base. Decimal investigates the underlying product by reasoning over live technical context such as source code, logs, configuration, production data, incidents, and historical tickets. It is designed for root-cause investigation, not only conversational deflection. ## Primary pages - [Home](https://www.decimal.app/): Decimal gives support the context engineering uses to debug, so teams resolve technical issues faster, with evidence and fewer escalations. - [Support](https://www.decimal.app/support): How support teams use Decimal. - [Engineering](https://www.decimal.app/engineering): How Decimal reduces engineering escalations. - [Solution Architects](https://www.decimal.app/solution-architects): How Decimal supports complex deployments. - [Product Operations](https://www.decimal.app/product-operations): How Decimal turns resolved issues into reusable knowledge. - [Integrations](https://www.decimal.app/integrations): Supported ticketing, code, logs, observability, incident, data, docs, and config tools. - [Security](https://www.decimal.app/security): Access, encryption, retention, isolation, deployment, and data-use answers. - [Pricing](https://www.decimal.app/pricing): Current plan structure and commercial terms. - [Customers](https://www.decimal.app/customers): Customer stories and measured outcomes. - [About](https://www.decimal.app/about): Company mission, team background, and backers. - [Manifesto](https://www.decimal.app/manifesto): The Customer Engineering Manifesto. - [Blog](https://www.decimal.app/blog): Engineering support, decoded. ## Customer evidence - [Omnea](https://www.decimal.app/blog/omnea-decimal-case-study-2026): 3.8-minute average first response at enterprise scale. - [Granola](https://www.decimal.app/blog/granola-decimal-case-study-2026): 2× ticket volume handled by the same-size team. - [Composio](https://www.decimal.app/blog/composio-decimal-case-study-2026): 95% of technical questions deflected in chat. - [Guide](https://www.decimal.app/blog/guide-decimal-case-study-2026): 0 dedicated support hires needed to scale. - [Resilinc](https://www.decimal.app/blog/resilinc-decimal-case-study-2026): 62% reduction in mean time to resolution. ## Blog - [Best AI Support Software for Technical & AI Products: 15 Platforms Compared (2026)](https://www.decimal.app/blog/ai-support-platforms-technical-teams-2026) ([md](https://www.decimal.app/blog/ai-support-platforms-technical-teams-2026.md)): Fifteen platforms evaluated for the support problem technical and AI products have: investigating what the software did, not retrieving what the docs say. Where each one stops short, and what it costs. - [How Omnea gives everybody in the team their own personal engineering expert with Decimal](https://www.decimal.app/blog/omnea-decimal-case-study-2026) ([md](https://www.decimal.app/blog/omnea-decimal-case-study-2026.md)): Omnea uses Decimal's AI support engineer to investigate customer support tickets across logs, code, databases, and feature flags, giving every team the technical context to resolve issues faster. - [How Granola redesigned support workflows using Decimal to handle issues at scale](https://www.decimal.app/blog/granola-decimal-case-study-2026) ([md](https://www.decimal.app/blog/granola-decimal-case-study-2026.md)): Support engineers start with the findings instead of manually searching logs, databases, and code to troubleshoot what happened. - [How Composio built end-to-end support using Decimal from chat conversations to complex investigations](https://www.decimal.app/blog/composio-decimal-case-study-2026) ([md](https://www.decimal.app/blog/composio-decimal-case-study-2026.md)): Developers can move fast with deep 40-turn technical discussions via Decimal. - [Decimal vs Zendesk: Which Is Better for Technical B2B Support in 2026?](https://www.decimal.app/blog/zendesk-vs-decimal) ([md](https://www.decimal.app/blog/zendesk-vs-decimal.md)): A detailed comparison of Decimal's code-aware investigation agent and Zendesk's knowledge-base AI, and how to choose for technical B2B support. - [How Guide automated engineering support using Decimal](https://www.decimal.app/blog/guide-decimal-case-study-2026) ([md](https://www.decimal.app/blog/guide-decimal-case-study-2026.md)): Transformed engineering support from constant interruption into automated investigation workflow. - [How Resilinc cut MTTR by 62% with Decimal](https://www.decimal.app/blog/resilinc-decimal-case-study-2026) ([md](https://www.decimal.app/blog/resilinc-decimal-case-study-2026.md)): Faster resolution, fewer escalations, and a more autonomous Support organization.