Deep Agents for Document-Heavy Decisions

Complex scenarios requiring analysis of multiple documents, conflicting evidence, and expert judgment calls — handled with PhD-level reasoning.

Adaptive Reasoning Capabilities

Four distinct reasoning modes working together for comprehensive analysis

Deductive Reasoning

Drawing certain conclusions from established facts. When premises are true, conclusions follow with mathematical certainty.

Inductive Reasoning

Identifying patterns from evidence. Building generalizations from specific observations to predict likely outcomes.

Abductive Reasoning

Finding the best explanation with incomplete information. Essential for real-world scenarios where data is never perfect.

Analogical Reasoning

Applying lessons from similar situations. Leveraging past cases to inform decisions about new scenarios.

Types of Logic Used

A comprehensive logical framework for rigorous decision-making

Mathematical Logic

Deductive and inductive reasoning with formal proofs and mathematical certainty.

Foundational Logic

Abductive reasoning for hypothesis generation and best-explanation inference.

Statistical Logic

Probabilistic and Bayesian reasoning for uncertainty quantification.

Formal/Symbolic Logic

Propositional and predicate logic for structured problem decomposition.

Deep Agent Pipeline

Five steps from raw documents to defensible conclusions

1

Ingest Everything

Process PDFs, photos, emails, handwritten notes — any document format your business encounters.

2

Cross-Reference Evidence

Identify connections, patterns, and contradictions across all ingested documents.

3

Apply Domain Expertise

Use specialized knowledge bases for industry-specific reasoning and compliance requirements.

4

Calibrate Confidence

Quantify certainty levels. Know when to act autonomously and when to escalate to humans.

5

Deliver Defensible Conclusions

Every recommendation traced back to source documents with full audit trails.

Core Capabilities

Advanced features that power expert-level decision making

Multi-Step Reasoning

Maintain context across complex reasoning chains. Never lose track of the bigger picture.

Real-Time Adaptation

Adjust reasoning strategies dynamically based on new evidence and changing contexts.

Contextual Memory

Remember and leverage insights across interactions for continuous improvement.

Multi-Source Integration

Synthesize knowledge from multiple sources into coherent, evidence-based conclusions.

Traceable Conclusions

Every decision backed by evidence trails. Full transparency for audits and compliance.

Continuous Learning

Improve through feedback loops. Get better with every interaction.

Use Cases

Real-world applications across industries

Insurance Claims

Claims adjudication with damage assessment, fault determination, and policy compliance verification.

Mortgage Underwriting

Comprehensive loan evaluation with income verification, risk assessment, and compliance checking.

Legal Evaluation

Medical malpractice case evaluation, contract analysis, and litigation risk assessment.

Sales Intelligence

Prospect research, competitive analysis, and personalized engagement strategies.

Outlook Integration

Email-integrated AI analysis for productivity enhancement and intelligent response suggestions.

Construction Verification

Drone-based site progress verification and compliance monitoring.

Ready for Expert-Level Reasoning?

See how Adaptive Reasoning can transform your document-heavy decisions.