Panto AI
An India-built AI code reviewer focused on security and compliance: line-by-line review across 30+ languages, 30,000+ security checks, and SOC 2/ISO/PCI-ready reports, with business context pulled from Jira and Confluence. Zero-config setup on GitHub, GitLab and Bitbucket; free trial with paid team plans.
Work at Panto AI? Manage this listing
Our take
Panto is an AI code reviewer built around security and compliance - 30,000+ checks across 30+ languages, plus SOC 2/ISO/PCI-ready reports and Jira/Confluence context. It is an India-built option worth a look for regulated teams. The 98% precision figure is the vendor's, so verify on your own codebase before relying on it.
Best for
Regulated and security-conscious teams that want code review tied to compliance reporting, from an India-based vendor.
Pros
- Security-first review with 30,000+ checks
- Compliance-ready reports for SOC 2, ISO and PCI
- Aligns code with Jira/Confluence business context
- Zero-config setup across major VCS platforms
Cons
- Headline precision figure is vendor-reported
- Pricing is not clearly published
- Crowded code-review space to stand out in
How it compares
Where Cubic and Graphite optimise for review speed and workflow, Panto leans into security depth and audit-ready compliance reports, with an India base.
Full review
Panto reviews pull requests line by line across more than 30 languages, but its angle is security and compliance: tens of thousands of checks, plus reports formatted for SOC 2, ISO and PCI audits, and context drawn from Jira and Confluence so feedback maps to business-critical components. Its Macroscope engine is pitched at high signal-to-noise review.
As a coding agent it clears the Outcome bar for assisted review, but the 98% precision claim is the vendor's, so we flag limited evidence and recommend testing on your repos. For Indian engineering teams - and any team facing audits - a home-grown reviewer that doubles as a compliance aid is a practical fit; just confirm pricing directly, since it is not openly listed.
Cloudkart Trust Graph
3.3/5- Actual Utility3.5/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Ease of Use3.8/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Pricing Fairness3.2/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Reliability2.8/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Differentiation3.3/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 3.3/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Panto AI free, and how much does it cost?
- Panto AI has a free tier, with paid plans that unlock advanced features.
- Who is Panto AI best for?
- Regulated and security-conscious teams that want code review tied to compliance reporting, from an India-based vendor.
- How is Panto AI rated on Cloudkart.ai?
- Panto AI scores 3.3 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Panto AI works for you.
Relevant tools
More tools in AI Coding Assistants.
Composio
Composio provides the execution infrastructure that connects AI agents to real software. It sits at the tooling and connectivity layer of the agent stack, giving developers one framework - SDKs, a CLI and 850+ pre-built connectors - to let agents act across apps such as GitHub, Slack and Salesforce. It handles the hard parts: complex authentication and OAuth, plus remote sandboxed environments for safe execution, exposed over the Model Context Protocol so agents can reason and then reliably take action. The platform is built for production, with SOC 2 and ISO 27001:2022 certifications and deployment across public cloud, VPC and on-premises. Composio operates from San Francisco and Bangalore and raised a $25M Series A led by Lightspeed, with angels including Vercel's Guillermo Rauch and HubSpot's Dharmesh Shah.
LiteLLM
LiteLLM, from BerriAI, is an open-source AI gateway that gives you a single OpenAI-compatible interface to 140+ providers and 2,500+ models, including OpenAI, Anthropic, Gemini, Bedrock, Azure, Mistral, Ollama and vLLM. You can use it as a lightweight Python SDK for direct calls, or deploy the proxy server as a centralized gateway for a team, with virtual keys, budgets, load balancing, rate limiting, request logging and LLM guardrails. It has become a default building block in the AI stack, with 45,000+ GitHub stars, 240M+ Docker pulls and over a billion requests served, and is used by companies including Netflix, Adobe and Stripe. The core is free; an enterprise tier adds JWT auth, SSO/SAML, audit logs, SLAs and dedicated support.
Claude Code
Terminal-based agentic coding tool from Anthropic for autonomous multi-step coding tasks.
Kiro
AWS agentic IDE built around spec-driven development: it writes a spec, then builds matching code, tests and docs across IDE, CLI and web.
Compare Panto AI head-to-head: vs Composio · vs LiteLLM · vs Claude Code · vs Kiro