Why DAVA?
Most organizations drown in disjointed data — CSVs, SQL dumps, APIs, and logs that never align. DAVA changes that. It uses multi-agent LLM intelligence to generate custom parsers on the fly, process files securely inside containerized sandboxes, and deliver normalized datasets with 90%+ accuracy.
The result:
instant interoperability, zero manual mapping, and full audit-ready visibility.
Core Capabilities
Automated Data Parsing
Generates custom parsers for CSV, JSON, SQL, TXT using large language models.
Enterprise Deduplication
Sandboxed environments for safe code execution and data privacy.
Real Time Monitoring
Web dashboards & Grafana integration for observability.
Intelligent Format Detection
Identifies schema & structure with 90%+ parsing accuracy through dual AI evaluation.
Secure Docker Execution
Sandboxed environments for safe code execution and data privacy.
System Limits: DAVA has no enforced file-size caps. Throughput depends on: Machine memory and CPU, Selected LLM model, Retry steps required for complex schemas.
The AI Engine behind DAVA
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AI-Generated Parsers:
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DAVA’s large-language-model agents write, test, and execute format-specific parsers in real time — from CSVs to JSON, SQL, or proprietary logs.
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Intelligent Format Detection:
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Dual-layer validation ensures schema recognition with 90 %+ parsing accuracy.
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Secure Execution:
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All processes run in isolated Docker containers with zero data leakage.
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Live Monitoring:
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Grafana dashboards visualize every transformation.
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LLM Redundancy:
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Multi-provider architecture (OpenRouter, Anthropic, Ollama) guarantees uptime and fallback continuity.
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From healthcare to insurance, finance, and research, we transform fragmented data into normalized, duplication-free intelligence in minutes.
Architecture Highlights
DAVA for Medical Data
Enterprise Features
Security Posture
DAVA is designed with a strict local-first model to protect sensitive data.
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All processing occurs locally; no data leaves your environment unless explicitly configured
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LLM-generated parser code executes in a secure sandbox (Docker recommended)
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Simple API key authentication
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All logs and invalid records remain local
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No automatic deletion; retention policies are fully user-controlled
Data Storage
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DAVA provides full transparency and control over where your data lives.
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Raw files are stored in uploads/
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Normalized outputs are stored in a SQLite database (normalized_data.db)
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Smart Tables mode creates tailored SQLite table structures automatically
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All exports are saved as CSV files inside output/jobs/{job_id}/
Upcoming Enhancements
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Human-in-the-Loop Approval: before final ingestion, DAVA presents a proposed schema for review, allowing teams to edit or approve mappings.
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Automatic Mapping to Internal Schemas: DAVA aligns incoming fields with internal taxonomies for seamless integration into existing systems.
