Use Cases for Synthetic Observability

Financial Document Robustness

The challenge

Financial AI systems must accurately process transactions, detect anomalies, and reason over evolving ledgers. Mistakes increase financial risk, regulatory exposure, and audit failures. Yet this is not stopping rapid deployment:

A test of 22 general-purpose AI models from OpenAI, Anthropic, x.AI, Meta, Google and other leading players in artificial intelligence found that all scored less than 50 percent accuracy, on average, for simple tasks required of entry-level financial analysts.

-Washington Post, April 22, 2025

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How Simthetic Strengthens Financial AI Systems

• Simulate
  • Our docent agent helps your experts create a simulated financial environment that generates synthetic sets of invoices, receipts, and general ledger entries. We then embed the realistic failure cases (such as mismatches, GL lags, and duplicate payments) that your experts need.
• Evaluate
  • Our system automatically generates extraction QA, cross-document reasoning tests, and hallucination checks with labeled ground truth from the start.
• Observe
  • You can add results to your evaluations to monitor accuracy trends, rare event exposure rates, and anomaly detection performance over time. You can easily export insights into observability dashboards and in-house regression suites.

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Market Research Segmentation

The challenge

Analysts and AI systems must infer real-world segments from survey data. Bias, ambiguity, and rare subgroups threaten the accuracy and usability of insights.

Consumer health products company Opella operates an AI “factory” that produces advance care planning materials for medical professionals alongside the hundreds of webpages, images and Instagram posts.

- Wall Street Journal, April 17, 2025

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How Simthetic Strengthens Synthetic Respondent Systems

• Simulate
  • Our docent agent helps you build synthetic survey pools reflecting realistic segment structures. You can inject noise through missing values, contradictory responses, and outlier behaviors.
• Evaluate
  • We help you measure clustering precision, minority group recall, and sensitivity to missingness. Test hypothesis-driven questions like "Which segments matter most?"
• Observe
  • Watch segment drift over time, identify confusion points, and surface fragility within segmentation strategies. You can feed observations back into data generation and model tuning cycles.

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Business Scenario Planning

The challenge

Organizations must prepare for uncertain futures, like economic shifts, competitive moves, and regulatory changes. But scenario generation is often limited by human imagination.

Over 20 years of history covering this group has firmly convinced us that no one in agency land sees the storm coming until the rain is pouring in front of us.

-MoffettNathanson, April 2025

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How Simthetic Strengthens AI Scenario Planning

• Simulate
  • We build synthetic future-world scenarios, modeling crises, disruptions, and expansions. We also simulate stakeholder behaviors across CEOs, regulators, and customers.
• Evaluate
  • Our agents help you stress-test strategic plans: can organizations craft strategies that adapt under plausible but stressful futures? Can experts reason through cascading secondary effects?
• Observe
  • Track strategy robustness across simulated futures. We easily integrate with your systems to surface fragility points and overfitting tendencies, or create resilience maps to visualize where strategies hold or fail.

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