IFS Loops vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
IFS Loops compared with Exabase
| Detail | 
IFS Loops | 
Exabase |
|---|
| What it does | Industrial-grade agentic AI platform for enterprise operations
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | US
| GB
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Not given
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| Key features | - Prebuilt skills and workflow patterns for fast deployment
- Context-aware AI using operational and system signals
- Governed execution with guardrails, approvals, and audit trails
- Enterprise-grade security with SOC 2 Type 2, GDPR, and HIPAA compliance
- Integration with 65+ applications
- Natural language agent creation and monitoring
- Event-triggered and schedule-based agent orchestration
- LLM adaptation to business data
- API and client libraries for custom integrations
- Support for multiple industries and use cases
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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| What makes it different | - Industrial-grade platform built for mission-critical enterprise environments
- Context-aware decision-making using operational data across systems
- Governed autonomy with guardrails and audit trails for safe scaling
- Seamless integration with 65+ enterprise applications
- Fast deployment with prebuilt skills and workflow patterns
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 43 ▼ −1 (down) since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 12 | 11 |
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| Citation Flow (Majestic) | 36 | 32 |
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| Referring domains (Majestic) | 391 | 122 |
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4 details filled in for both companies.
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