Automate decisions with AImeasure the impact
We build production AI systems using large language models—document processing, conversational interfaces, and intelligent automation that integrates with your existing workflows and delivers measurable ROI.
Start BuildingAI applications we build
Clinical Documentation
Transform physician-patient conversations into structured clinical notes in real-time. Extract ICD-10 codes, medication lists, and treatment plans from unstructured voice recordings while maintaining HIPAA compliance.
Legal Document Analysis
Review contracts, identify non-standard clauses, flag potential risks, and extract key terms across thousands of documents. Reduce contract review time from hours to minutes while maintaining accuracy standards.
Insurance Claims Processing
Automatically classify claims, extract relevant policy information, identify potential fraud patterns, and route to appropriate adjusters. Process claims 10x faster with consistent decision-making logic.
Customer Support Automation
Build AI assistants that understand product documentation, historical tickets, and company policies to resolve tier-1 support issues automatically. Escalate complex cases to humans with full context and suggested solutions.
Manufacturing Quality Control
Analyze inspection reports, defect images, and sensor data to classify quality issues, recommend root causes, and generate corrective action reports. Connect production data with quality outcomes to predict defects before they occur.
Financial Document Intelligence
Extract data from invoices, receipts, purchase orders, and financial statements across multiple formats. Reconcile transactions, flag anomalies, and maintain audit trails for compliance and reporting.
How we approach AI projects
We focus on economics, error rates, and integration—not hype
Validate unit economics first
Calculate per-query costs at expected volume and compare against manual process costs. If the economics don't work, we tell you before building anything.
Design for error tolerance
Build validation layers between AI steps to prevent error compounding. Implement human-in-the-loop workflows for high-stakes decisions.
Integrate with existing systems
Connect AI capabilities into your current workflows, databases, and tools. No need to replace working systems—augment them.
Monitor and iterate in production
Implement logging, monitoring, and evaluation frameworks to track performance over time and improve models based on real-world usage.
Let's talk about your project
Whether you have a clear vision or just a problem that needs solving, we'd love to hear about it.
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