# Hacktron vs Relyable

Hacktron records 125,526 monthly visits with -40.9% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Relyable records 3,451 monthly visits with -45.5% growth and Freemium, Paid pricing.

| Metric | [Hacktron](https://openaitools.app/tool/hacktron) | [Relyable](https://openaitools.app/tool/relyable) |
| :--- | :--- | :--- |
| Website URL | https://hacktron.ai | https://relyable.ai |
| Categories | AI Agent, AI Code Review, AI Developer Tools | AI Testing, AI Monitor, AI Voice Assistants, AI Agent |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium, Paid |
| Monthly Visits | 125,526 | 3,451 |
| MoM Growth Rate | -40.9% | -45.5% |
| Primary Market | India | United States |
| Direct Visits | 34,807 | 1,348 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Hacktron

Hacktron is an AI-native cybersecurity platform built around the idea that offensive security should run continuously rather than in occasional annual engagements. It bundles three products under one roof: Red for ongoing adversary-style testing of your entire attack surface, Whitebox for deep white-box penetration testing driven by source-code analysis, and Review for automated security checks on every pull request.

The approach leans on AI agents that read actual code, reproduce issues, and attempt to demonstrate exploitability. This matters because traditional static analysis tools generate large volumes of theoretical findings that security teams must triage manually. Hacktron's stated position is to report only what it can prove is exploitable, with remediation guidance attached, so engineers spend their time on real risk.

Reported customers are engineering and product-security teams, including CTOs and compliance officers who need audit-ready evidence for SOC 2 and ISO 27001. The company has publicly announced a partnership with OpenAI to find vulnerabilities in its systems, and it publishes security advisories, a changelog, and open-source tooling. Deployment ranges from a self-serve Review trial to on-premises enterprise installations for sensitive environments.

**Pricing & Plans:** Freemium with custom enterprise tiers. Hacktron Review Pro starts at about $40 per developer per month including 50 pull requests per developer, with $1 per additional PR, and is free for open source. Whitebox pentests are priced per engagement, roughly $50 to $25,000 depending on scope (about $500 per 100,000 lines of code). Red and enterprise deployments are quote-based.

- **Continuous red teaming:** Hacktron Red continuously attacks your entire organization the way a real adversary would, then shows you the breach path and helps close it.
- **Machine-speed white-box pentests:** Hacktron Whitebox reads your source code, proves each finding in a sandbox or against your deployed app, and produces an audit-ready report for SOC 2 or ISO 27001.
- **Pull request security review:** Every pull request is checked with your whole codebase as context, so issues are caught before they merge into main.
- **Exploitability-based findings:** Only findings that can be shown to be exploitable are reported, verified rather than predicted.
- **API, MCP, and automations:** An API, MCP server, and automation layer let teams wire Hacktron into existing CI/CD and security workflows.

**Strengths:** Combines red teaming, white-box pentesting, and PR review in a single platform; Focuses on verified, exploitable findings instead of raw theoretical alerts; Transparent published pricing for Review and Whitebox tiers; Free for open source, with self-serve trial and API/MCP access

**Limitations:** Red teaming and enterprise deployment require a sales conversation; Whitebox pentest pricing scales with codebase size, which can get expensive; Best value requires integrating it into your existing CI/CD and code review flow

[Profile (Markdown)](https://openaitools.app/tool/hacktron.md)

## Relyable

Relyable was built by a team that develops voice agents and treats testing as a first-class part of shipping them. Rather than rely on human spot-checks, it uses AI to create personas and scenarios that mimic real callers — old and angry, young and confident, different accents, moods and goals — and then runs those conversations in parallel against your deployed agent. Each call is analysed automatically, so problems surface before a single real customer encounters them.

Evaluation is driven by a rubric you control. You can weight criteria such as end-to-end task completion, freedom from fabricated policy or pricing, stable customer sentiment, clean interruption handling, latency under a p95 target and appropriate out-of-scope handoff. Relyable tracks pass rates and seven-day trends for each criterion, giving a quantified picture of whether a change helped or hurt.

In production, the platform becomes a monitoring layer. Live calls are logged and scored in real time, and Relyable pages you only when a threshold is crossed — through Slack, email, PagerDuty, Opsgenie, Linear or a webhook. The company is headquartered in Melbourne, Australia, and is associated with NVIDIA Inception, ElevenLabs Grants and Microsoft for Startups.

**Pricing & Plans:** Relyable uses credit-based pricing where credits cover both simulated and live calls. Core is $500/month with 50,000 credits (up to 750 simulated calls and 10,000 live evaluations), and Premium is $1,000/month with 125,000 credits (up to 1,900 simulated calls and 25,000 live evaluations). Annual billing saves about 15%. Enterprise offers custom credit packages, regional compliance and dedicated support.

- **Automated conversation simulation:** Auto-generate test cases from your system prompt or define your own, then run hundreds of parallel simulated conversations with presets for accent, mood and goal.
- **Rubric-based evaluation:** Score every call against weighted, customisable criteria such as task completion, policy accuracy, sentiment, interruption handling and latency, with seven-day trend tracking.
- **Live production monitoring:** Every production call is silently logged and scored in real time, with alerts routed to Slack, email, PagerDuty, Opsgenie, Linear or webhooks when something drifts.
- **No-code platform integrations:** Connect Vapi, Retell or ElevenLabs agents in under five minutes using an API key, or route custom agents through the provided number and API.
- **Industry playbooks:** Hardware and industry templates for financial services, home services and real estate, including compliance, emergency-pathway and booking scenarios.

**Strengths:** Combines simulation, rubric-based evaluation and live monitoring in one platform.; Fast native integrations with Vapi, Retell and ElevenLabs using just an API key.; Rubric weighting and seven-day trend tracking turn voice agent quality into measurable numbers.; Alert routing to Slack, PagerDuty, Linear and webhooks fits existing on-call workflows.

**Limitations:** Pricing starts at $500/month, so it is a significant commitment for very small teams.; Native integrations currently center on Vapi, Retell and ElevenLabs; other platforms require the manual prompt-upload and call-routing workaround.; Evaluation quality still depends on how well you define your rubric and test cases.; Because it targets production voice agents, it is less relevant if you are only experimenting.

[Profile (Markdown)](https://openaitools.app/tool/relyable.md)

## Frequently Asked Questions

### How do Hacktron and Relyable compare in monthly traffic?

Hacktron has 125,526 monthly visits, while Relyable has 3,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hacktron has a month-over-month growth rate of -40.9%; Relyable has -45.5%.

### How does pricing compare?

Hacktron: Freemium, Paid, Contact for Pricing. Freemium with custom enterprise tiers. Hacktron Review Pro starts at about $40 per developer per month including 50 pull requests per developer, with $1 per additional PR, and is free for open source. Whitebox pentests are priced per engagement, roughly $50 to $25,000 depending on scope (about $500 per 100,000 lines of code). Red and enterprise deployments are quote-based. Relyable: Freemium, Paid. Relyable uses credit-based pricing where credits cover both simulated and live calls. Core is $500/month with 50,000 credits (up to 750 simulated calls and 10,000 live evaluations), and Premium is $1,000/month with 125,000 credits (up to 1,900 simulated calls and 25,000 live evaluations). Annual billing saves about 15%. Enterprise offers custom credit packages, regional compliance and dedicated support.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 3 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 4 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 5 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 6 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 7 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 8 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 9 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Standardize LLM evaluation, observability, and red teaming across your whole org | [.md](https://openaitools.app/tool/confident-ai.md) |
| 10 | [Cekura](https://openaitools.app/tool/cekura) | 73,228 | -18.9% | Contact for Pricing | Automated QA, simulation and observability for voice and chat AI agents | [.md](https://openaitools.app/tool/cekura.md) |

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Source: https://openaitools.app/compare/hacktron-vs-relyable

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