Powerful Document Processing Features

DataKraft uses advanced OCR (Optical Character Recognition) combined with Large Language Models to extract and understand content from any document format. Our system doesn't just read text—it understands context, structure, and meaning across all formats.

The process works in three stages: First, we convert your documents (PDFs, images, scanned files, Office docs) into machine-readable text. Second, our AI analyzes the structure and extracts key data points like dates, amounts, names, and categories. Finally, the system normalizes this information into clean, LLM-ready formats.

We achieve 99%+ accuracy by using multiple AI models that cross-validate each other's outputs, ensuring reliable results even with poor-quality scans or complex document layouts.

DataKraft is designed for instant integration with existing data pipelines. Most customers are processing documents through their existing systems within minutes of setup, not days or weeks.

Our API-first architecture means you can connect DataKraft to any system that accepts HTTP requests. We provide pre-built connectors for popular platforms like Google Workspace, Microsoft 365, Salesforce, and major cloud storage providers.

No training is required because DataKraft automatically adapts to your document types and data formats. The system learns your patterns and preferences without requiring manual configuration or model training.

For enterprise customers, we provide dedicated integration support to ensure seamless connection with legacy systems and custom data pipelines.

"LLM-ready" means the data is structured, clean, and formatted in a way that Large Language Models and AI applications can immediately understand and act upon without additional preprocessing.

DataKraft automatically normalizes data into consistent formats: dates become ISO 8601 standard, currencies are standardized, names are properly capitalized, and relationships between data points are clearly defined. This eliminates the need for custom data cleaning scripts.

The structured output includes metadata, confidence scores, and contextual information that AI agents can use to make better decisions. For example, an invoice isn't just text—it becomes structured data with vendor information, line items, totals, and payment terms clearly identified.

This means your AI applications, chatbots, and automation tools can immediately act on the data without spending time and resources on data preparation and cleaning.

Security and compliance are foundational to DataKraft's architecture. All documents are encrypted in transit (TLS 1.3) and at rest (AES-256). We're SOC 2 Type II certified and undergo regular third-party security audits.

For GDPR compliance, we automatically detect and redact PII before processing, maintain detailed data lineage records, and provide tools for data subject requests (access, deletion, portability). All EU data is processed within EU boundaries.

HIPAA compliance includes dedicated infrastructure, signed Business Associate Agreements (BAAs), audit logging of all PHI access, and specialized healthcare AI models trained on anonymized datasets.

Every document processing action is logged with immutable audit trails, giving you complete visibility and control over your document processing activities. You can also configure data retention policies and geographic processing requirements.

DataKraft is built with multiple safety layers to prevent and catch errors before they impact your data pipelines. Every processing decision goes through our confidence scoring system—if confidence is below 95%, the document is automatically flagged for review.

We provide a visual diff system that shows exactly what DataKraft extracted from each document. You can approve, reject, or modify any processed data. All changes are logged with full audit trails, and you can reprocess documents with updated rules.

For critical document processing workflows, we recommend starting with "review mode" where DataKraft processes documents but requires human approval before data enters your pipelines. As you build confidence in the system's accuracy, you can gradually increase automation levels.

Additionally, our guardrail models continuously monitor for anomalies, unusual patterns, or potential errors, providing an extra layer of protection against processing mistakes that could affect downstream systems.

DataKraft pricing is based on the volume of documents processed and pipeline integrations, starting at $2,500/month for small teams. Most clients see positive ROI within 3-4 months through time savings and improved data quality.

Typical ROI scenarios: A 10-person accounting team saves 15 hours/week on invoice processing (worth $18,000/year in labor costs). A legal firm reduces document review time by 60%, allowing them to take on 40% more cases. A healthcare practice eliminates 2 hours/day of administrative document processing per provider.

Beyond direct time savings, clients report significant improvements in data quality (95% reduction in data entry errors), compliance (automated audit trails), and employee satisfaction (elimination of repetitive document processing tasks).

Our 16-week pilot program includes ROI tracking and measurement tools, so you can see exactly how much value DataKraft delivers before committing to a full implementation.

We also offer performance guarantees: if you don't achieve at least 3x ROI within 12 months, we'll work with you at no additional cost until you do, or provide a full refund.