Shilo vs Agenta
Detailed side-by-side comparison to help you choose the right tool
Shilo
Business AI Solutions
AI assistant built for real estate teams that listens, coaches, and guides agents in real time to help them close deals with confidence.
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CustomAgenta
🟡Low CodeBusiness AI Solutions
All-in-one LLM development platform. Manage prompts, run evaluations, and monitor AI apps in production. Open-source with team collaboration features.
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FreeFeature Comparison
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Shilo - Pros & Cons
Pros
- ✓Purpose-built for real estate teams rather than generic sales teams, with website messaging focused on agents, team leaders, appointments, contracts, CRMs, transaction management, and lead sources.
- ✓Combines real-time call analysis with coaching feedback, so the product is designed for in-the-moment improvement rather than only after-the-fact reporting.
- ✓Includes training workflows such as role play based on previous calls, prompts, and feedback around objection handling, question frequency, and talk-to-listen ratio.
- ✓Can automatically enrich CRM records after calls with AI-powered insights and actionable next steps, reducing reliance on agents manually writing complete notes.
- ✓Designed to fit into an existing real estate workflow instead of replacing the team's CRM, transaction management platform, or lead sources.
- ✓Public case study and testimonials cite operational outcomes including increased outbound call volume, improved conversation quality, reduced manual call review, and higher conversion rates for featured customers.
Cons
- ✗Pricing is not published on the website; teams must book a demo to understand cost, packaging, contract terms, and minimum seat requirements.
- ✗The product appears optimized for real estate teams with meaningful call volume, so solo agents or very small teams may not get the same value from coaching analytics and team-level reporting.
- ✗Shilo depends on integration with existing workflows such as CRM, transaction management, and lead sources, which means setup quality and available integrations may materially affect results.
- ✗The website highlights customer outcomes but does not provide a self-serve trial, detailed implementation timeline, or public technical documentation for buyers to evaluate before contacting sales.
- ✗Teams that want an all-in-one real estate CRM, website, lead generation system, or marketing automation platform will still need other tools because Shilo is positioned as an enhancement layer, not a full stack replacement.
Agenta - Pros & Cons
Pros
- ✓Open-source foundation with MIT licensing providing complete control and avoiding vendor lock-in
- ✓Unified platform combining prompt management, evaluation, and observability in integrated workflows
- ✓Enterprise-grade security with SOC2 Type I certification and comprehensive data protection
- ✓Collaborative features enabling cross-functional teams to work together effectively on LLM projects
- ✓Self-hosting options available for organizations requiring maximum data privacy and control
- ✓Comprehensive evaluation framework with both automated and human evaluation capabilities
- ✓Active open-source community with regular updates and community-driven improvements
- ✓Full API/UI parity enabling seamless integration into existing development workflows
Cons
- ✗Self-hosted deployments require meaningful DevOps effort to run, scale, and maintain compared to pure SaaS alternatives
- ✗Ecosystem and community are smaller than established competitors like Langfuse or Weights & Biases, so third-party tutorials are limited
- ✗Pro-to-Business pricing jump ($49 to $399/month) is steep for mid-sized teams that outgrow the hobby limits
- ✗LLM-as-a-judge and automated evaluators still require careful calibration to produce reliable signals on domain-specific tasks
- ✗Deep integrations with niche agent frameworks or custom orchestration may require manual SDK instrumentation
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