Cogna vs Induction
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cogna compared with Induction
| Detail | 
Cogna | 
Induction |
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| What it does | AI-native applications for critical work
| Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
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| Stage | Not given
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| Founded | Not given
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| Based in | GB
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - AI-native applications for operational workflows
- Lattice knowledge layer for operational context
- Integration with existing systems
- Governance and access controls
- Blueprint process for opportunity identification
- Enterprise-grade security and compliance
- Managed service or self-hosted deployment options
| - Automatically removes redundant and stale context from agent workflows in real time
- Reduces token usage by 37–67% across agent workloads
- Maintains baseline pass rates and success rates without code changes
- Extends context windows for longer-running workflows
- Zero code changes required for integration
- Continually monitors and learns agent workloads
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| What makes it different | - Go from prototype to production in days
- Outcome-based pricing - pay when it works
- Captures tribal knowledge and makes it reusable across teams
- Integrates with existing systems without replacement
| - Reduces agent inference costs by 37–67% while maintaining the same success rates
- Works transparently with zero code changes required
- Focuses optimization on removing wasted tokens while keeping success rates high
- Enables teams to take on more ambitious problems with the same resources
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 46 ● no change since last check | 12 ● no change since last check |
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| Trust Flow (Majestic) | 10 | 8 |
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| Citation Flow (Majestic) | 32 | 29 |
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| Referring domains (Majestic) | 216 | 42 |
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3 details filled in for both companies.
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