Cortex for AI Startups
Improve agent performance in real workflows with expert human data tailored to your product
.webp)
.webp)
.avif)
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.
.avif)
The problem
AI systems are rarely built for the demands and variability of real operating conditions
.avif)
Benchmarks don’t reflect realistic scenarios
Internal testing misses edge cases
.avif)
Failures are hard to diagnose
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 agents reliable.
.webp)
Our solution
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
.webp)
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
.webp)
Impact
Faster Time to Production
Identify failure modes earlier, improve systems faster, and reduce costly iteration cycles.
Clear Visibility Into AI Performance
Understand where systems fail, why they fail, and what improvements will drive the greatest impact.
Greater Customer Trust
Improve consistency and accuracy in customer-facing and business-critical AI experiences.
Continuous Improvement Over Time
Improve consistency and accuracy in customer-facing and business-critical AI experiences.
