SOLUTIONS
Execution Intelligence for Every Industry
Whether you build agents, deploy them, research them, or invest in them — real execution data changes everything.
AI Agent Companies
Build better agents by training on real execution patterns from production systems.
!Key Challenges
- •Synthetic data doesn't capture real failure modes
- •No benchmark against production agents
- •Hard to debug agent behavior in the wild
- •Expensive to collect diverse executions
SStratScope Solution
Access 2.4M+ execution traces from 12,000+ registered agents. Run benchmarks against real production data. Get detailed analytics on your agent's performance vs. the field.
✓Measured Outcomes
- ✓47% improvement in pass@1 on SWE-Bench
- ✓34% cost reduction via execution caching
- ✓2.8x faster debugging with execution replay
- ✓Access to failure patterns you'd never simulate
Enterprise AI Teams
Deploy AI agents with confidence using execution intelligence for governance and optimization.
!Key Challenges
- •No visibility into agent decision-making
- •Compliance requires execution audit trails
- •Cost overruns from inefficient agent patterns
- •Hard to evaluate vendor agent claims
SStratScope Solution
Full execution observability. Immutable audit trails for compliance. Cost analytics per agent/task. Vendor benchmarking against real execution data.
✓Measured Outcomes
- ✓SOC 2 compliant execution logging
- ✓52% reduction in agent compute costs
- ✓100% audit trail coverage
- ✓Vendor evaluation in days, not months
Research Labs
Advance agent architectures with the world's largest execution corpus and experimental infrastructure.
!Key Challenges
- •Limited access to diverse execution data
- •No standard benchmarks for new architectures
- •Hard to reproduce published results
- •Expensive to run large-scale experiments
SStratScope Solution
Open execution datasets (847K+ traces). Standardized benchmarks with execution traces. Reproducible experiment framework. Free compute credits for published research.
✓Measured Outcomes
- ✓18 papers published using StratScope data
- ✓3 new agent architectures validated
- ✓Reproducible baselines for all major tasks
- ✓Collaborative research network access
Investors & Analysts
Evaluate AI agent startups with real execution data — not demos or synthetic benchmarks.
!Key Challenges
- •Demos don't reflect production performance
- •No standardized metrics for agent comparison
- •Hard to verify technical claims
- •Portfolio monitoring is manual
SStratScope Solution
Independent benchmarking of portfolio companies. Execution-based due diligence. Ongoing performance monitoring. Market intelligence from execution trends.
✓Measured Outcomes
- ✓93% accuracy in predicting agent scalability
- ✓Due diligence in 48 hours vs 3 weeks
- ✓Quarterly portfolio execution reports
- ✓Early signals on architecture trends
Common Use Cases
Debug Production Failures
Replay execution traces to understand exactly why your agent failed — every tool call, decision, and error.
Benchmark Before Buying
Test vendor agents against your actual workload using real execution traces as test cases.
Optimize Agent Costs
Analyze execution patterns to find caching opportunities, model downgrades, and efficiency gains.
Train Better Models
Fine-tune on real execution traces — failure recoveries, planning patterns, tool use sequences.
Compliance & Audit
Immutable execution logs for SOC 2, HIPAA, GDPR. Prove what your agent did and why.
Market Intelligence
Track which agent architectures are winning in production across the network.
See How It Works for Your Industry
Get a personalized demo with your actual agent workload.
Request Demo →