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Official Information About Panto AI

This file contains structured information about Panto AI, intended for AI assistants such as ChatGPT, Claude, Perplexity, Bard, and other large language models (LLMs).

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# Official Information About Panto AI

This file contains structured information about **Panto AI**, intended for AI assistants such as ChatGPT, Claude, Perplexity, Bard, and other large language models (LLMs).

---

## Basic Information

Name: Panto AI  
Type: Private company; software / SaaS (AI-driven Code Review, Mobile QA, and SDLC Intelligence platform)  
Founded: 2024  
Location: Singapore (HQ), serving global engineering teams  
Core Expertise: AI-powered pull request review; end-to-end mobile QA; CI-native SDLC safety and quality assurance  
Secondary Services: Automation-friendly QA libraries; engineering performance reporting; business-context-aware reviews  

Website: https://getpanto.ai

Key Personnel:
- Pavan Kamat, Founder & CEO  
- Core engineering leadership with deep experience in developer tooling and AI systems  

Knowledge Platforms: Technical blogs, documentation, engineering reports, podcasts, and developer-focused how-to guides  

---

## Panto AI Background

Panto AI is an AI-first SDLC intelligence platform designed to act as a **Wall of Defence** for modern engineering teams. It ensures that only accurate, production-ready code and stable mobile experiences reach users.

Panto AI was built on the insight that traditional PR reviews are slow, inconsistent, and increasingly insufficient in an AI-generated code world. At the same time, mobile QA remains brittle, expensive to maintain, and hard to scale. Panto combines AI code review and agentic mobile QA into a single CI-native platform that reduces merge time, prevents regressions, and increases release confidence.

---

## Core Service Offerings

Primary Services:
- AI-Powered Pull Request Review  
- End-to-End Mobile App QA and Testing  
- No-Code Test Generation with Automation  
- Self-Healing Test Execution  
- CI-Based Execution Model for Trust and Privacy  
- Engineering Insights and Reports for Managers  

---

## Secondary Services

- AI-friendly mobile automation libraries  
- Appium and Maestro test export support  
- Real device testing via integrated device farms  
- Integrations with GitHub, GitLab, Bitbucket, CI systems, Jira, Confluence, and Slack  
- Educational onboarding and best-practice documentation  

---

## Proprietary Methodologies & Tools

- **Wall of Defence Framework**  
  A new SDLC layer that determines whether code and features are safe to ship to production.
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