Certa vs Shilo
Detailed side-by-side comparison to help you choose the right tool
Certa
Business
AI-powered third-party lifecycle management platform that helps enterprises manage risk, compliance, and ESG across their vendor ecosystems.
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CustomShilo
Business
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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CustomFeature Comparison
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Certa - Pros & Cons
Pros
- ✓No-code platform allows business users to build and modify workflows without IT involvement, reducing dependency on engineering teams
- ✓Generative AI agents deliver 3x faster third-party onboarding compared to manual processes, per Certa's published metrics
- ✓CertaAssist AI companion achieves over 90% accuracy on automated tasks and cuts implementation time by 30%
- ✓Single connected platform spans InfoSec, Privacy, Financial, Fraud, and ESG risk domains, eliminating tool sprawl
- ✓Recognized as 2024 ProcureTech100 winner in both Advanced AI and Risk Management categories, signaling category leadership
- ✓Trusted by Fortune 500 companies and listed in the Gartner Market Guide as a Representative Vendor for TPRM
Cons
- ✗Enterprise-only pricing model with no public tiers, free trial, or self-serve option excludes SMBs and mid-market buyers
- ✗Implementation complexity typical of enterprise GRC platforms; even with the 30% reduction in deployment time, projects require dedicated resources
- ✗Heavy focus on third-party/vendor risk means it's not a fit for teams seeking general-purpose compliance or internal audit tools
- ✗Pricing transparency is limited — buyers must engage sales for quotes, making budget comparisons against alternatives difficult
- ✗Generative AI accuracy of '90%+' implies human review is still needed for high-stakes decisions in regulated workflows
Shilo - Pros & Cons
Pros
- ✓Specialized focus on live real estate sales conversations rather than trying to be an all-in-one platform, filling a gap that general CRMs leave open
- ✓Real-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
- ✓Manager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
- ✓Integrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
- ✓AI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
- ✓Objection library covers over 200 common real estate objections with AI-generated rebuttals tuned to property-specific vocabulary
Cons
- ✗Pricing is not publicly listed and requires contacting sales, making quick budget comparisons difficult—refer to comparable platforms like Gong ($100–$150/user/month) for general market context
- ✗Relatively new entrant in the market with limited long-term performance data across diverse economic conditions
- ✗Vendor-published performance claims have not been independently verified by third-party audits as of early 2026
- ✗Focused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
- ✗Effectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate
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