Cortex for AI Startups
Improve agent performance in real workflows with expert human data tailored to your product
Startups are shipping agents into real customer workflows
The challenge is no longer building the agent. It’s ensuring it performs reliably, handles edge cases, and drives measurable outcomes in production
Cortex helps you evaluate, train, and continuously improve your agents using expert human intelligence, so they don’t just work, they hold up under real-world conditions.
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The problem
Agents need to be specified for edge cases that are unique to your customers' journeys
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Benchmarks don’t reflect real workflows
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Internal testing misses edge cases
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Failures are hard to diagnose
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Performance degrades as you scale
If your agent can’t handle real-world complexity, it won’t survive real customers. That’s why we work with domain experts to evaluate performance and generate the data needed to make it work in practice.
Our approach
Contextual evaluations built on real workflows
- Designed around how your customers actually use your agent
- Covers real decisions, edge cases, and domain-specific scenarios
Expert-driven evaluation and data
- Domain professionals assess correctness and classify failures
- High-quality signal you can trust, not synthetic or generic scoring
Clear visibility into failures
- Shows where your agent succeeds, fails, and why
- Structured breakdown of reasoning gaps, edge cases, and workflow errors
Direct path to improvement and scale
- Targeted expert data to fix specific failure modes
- Continuous evaluation to maintain performance as you ship
Why this matters
AI startups aren’t differentiated by the models they use. They’re differentiated by how well their agents perform in real workflows.
Cortex gives you visibility into performance, a clear path to improve it, and a product defined by reliability.
Building an agent is easy. Making it consistently work in production is not. Cortex makes that possible.
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