AI Agent Core
The open-source foundation for Tabularium AI agents. Fork the core, retain only the capabilities required for a workflow, and add its integrations.
Explore Agent CoreA concise overview of how Tabularium AI delivers secure, AI-driven solutions.
Transforms document images into structured, reviewable record data through OCR, indexing, and verification - establishing the trusted foundation for downstream workflows.
OCR engines restore structure from scanned images by removing visual noise and reconstructing the logical flow of content, including zoning headers, footers, and inline noise.
Classifies document type, page purpose, and segment role while indexing parties, clauses, references, and key fields for legal searchability and downstream workflows.
Verifies indexed results with Tabularium AI IQ checks, ambiguity detection, and explainable review signals - enabling targeted reprocessing and higher-confidence output.
Applies record-level analysis and system logic to enrich data, calculate outcomes, and analyze related records - supporting readiness, compliance, and decision-making.
Parses and enriches legal descriptions with structured parcel data and spatial logic. Also detects references to exhibits, attachments, and prior recordings - enabling linkage across document sets.
Calculates statutory fees, fund splits, and county/state allocation logic based on transaction data and preconfigured rules.
Runs title-style analysis on related records - checking chains, gaps, and conflicting data to surface risk signals before recording or downstream use.
Prepares the visual record for compliant use through redaction, image refinement, and official output generation - ensuring submission-ready and archive-ready deliverables.
Automatically detects and redacts protected data using document classification, contextual field understanding, and jurisdictional rules to apply precise, defensible redactions directly to the image across official record workflows.
AI-driven refinement enhances image clarity, alignment, and visual structure, followed by automated conversion into standardized representations optimized for integration, verification, and archival workflows.
Generates recording confirmation pages and certifications programmatically - styled per subscription and automatically inserted into output packages.
Tabularium AI is designed for high-trust official-record workflows where access control, data isolation, retention, redaction, auditability, and human review all matter before records move downstream.
API calls use subscription-specific credentials. Keys can be rotated, scoped to the active subscription, and protected behind HTTPS-enabled infrastructure.
Each subscription separates credentials, private exchange storage, processing context, configuration, usage tracking, and customer-specific rules.
AI workloads run in isolated Azure AI Foundry environments with no cross-tenant sharing. Processing environments can support HIPAA-compatible deployment needs.
Controls are organized around document custody: protect access, minimize persistence, redact protected content, and retain evidence for review.
Transient artifacts created during document processing and fine-tuning are purged by policy. Permanent customer records remain in the customer's environment.
Redaction detects protected values using document classification, contextual field understanding, and jurisdiction-specific rules before output packages are released.
Generated metadata, redacted pages, endorsements, and certificates can be delivered into governed storage controlled by the customer.
Review controls keep automation useful without removing accountability from official-record operations.
Tabularium AI IQ checks, ambiguity detection, and configurable rules help block weak results before records move into submission, export, or publication workflows.
Indexing, verification, fee logic, and exception handling produce explainable review signals so teams can understand why a result passed, failed, or needs review.
Edge cases, policy-sensitive decisions, and low-confidence outputs can be routed to human reviewers while routine checks remain automated.
Official record domains supported across land, court, vital, permit, and certification workflows.
Deeds, mortgages, liens, easements, UCCs, tax liens, and bankruptcies - records shaping title, debt, and secured interests.
Births, deaths, marriages, adoptions, name changes, probate filings, judgments, and divorces - records defining identity and enforceable legal status.
Occupancy, notary, and environmental capabilities - triggering finalization and enforcement.
Coming Q1 2027.
Supported formats for document ingestion, recording, indexing, verification, and integration.
Processing modes available - real-time APIs, scheduled batch, and human-in-the-loop review.
Transactional API calls process immediately, with results returned inline or through webhooks - ideal for point-of-sale and partner integrations.
High-volume, offline jobs run on your schedule - perfect for nightly backlogs or historical migrations.
Coming Q1 2027.
Async review queues route edge cases to specialists - meeting strict QA or statutory verification requirements.
The system automatically generates title-class-specific rules and distilled models from public knowledge to drive classification, extraction, fee/fund computation, and downstream behaviors. This removes most of the manual effort required to build class-specific logic while still supporting targeted fine-tuning where needed. These per-class rules are editable and become the source of truth for continuous improvement.
Plain-English rules for indexing, enrichment, chaining, confidential handling, and page classification. Tabularium AI compiles them into AI-ready logic - no new syntax to learn.
Verification formulas for index quality (IQ). Write in plain English; the system compiles them to formulas and can translate them back for review via chat.
Jurisdiction-specific terms Tabularium AI recognizes to refine indexing, enrichment, chaining, and chat explanations.
Computation logic for fees and allocations, plus layouts, endorsement and confirmation formatting, and visual markup - adjustable per title class.
From a subscription’s masters, the system generates self-contained rules per class - scoped, testable, and safe to evolve.
Derived components remain editable per subscription - tailor behavior and compliance without altering global masters.
Submit structured feedback to refine per-class behavior. Once reviewed and accepted, changes are versioned and applied to improve classification, extraction, fees/funds, and explanations.
Corrections tied to classification, extracted values, fees/funds, or formatting - scoped to the active title class.
Accepted feedback is versioned and applied to per-class rules - evolving classification, extraction, and computations.
Subscription defines a secure and isolated execution context - linking API credentials, governed storage, and usage tracking. Organizations can manage multiple subscriptions, each enabling role-based access, billing transparency, and configuration flexibility. Fine-tuning details for configuration are covered in the Fine-Tuning section.
Each subscription provides a token to private storage that governs access to submitted documents, generated metadata, and binary outputs - such as redacted pages, endorsements, or certificates. All files are purged according to a configurable retention policy.
API calls are authenticated with a subscription-specific key. Keys can be rotated at any time by providing a system-generated source identifier.
Our AIs are securely deployed on Azure AI Foundry, with no shared information, in HIPAA-compatible environments. We do not store your data in any storages. All information generated during fine-tuning and document processing is temporary and is properly purged. All permanent data should be stored in your environment - we’re happy to help you set up a secure environment if you don’t have one.
Our AIs run in isolated Azure AI Foundry workspaces with no cross-tenant sharing; processing environments are HIPAA-compatible.
We do not store your data. Transient artifacts created during fine-tuning and processing are purged per policy.
Permanent data remains in your environment (cloud or on-prem). We can help you establish a secure, governed deployment if needed.
AI Agent Core is the open-source foundation for Tabularium AI agents. Each specialized agent starts as a fork of the core, retains only the capabilities required for its workflow, and adds the integrations it needs.
Choose REST today or prepare AI assistants, applications, and agents for MCP connectivity.
Connect existing systems through versioned endpoints, secure authentication, and documented request and response schemas.
Connect AI assistants, applications, and agents directly to Tabularium AI capabilities through Model Context Protocol.
Coming soon.
Use site-key access, API keys or OAuth 2.0, additive API versions, and clear deprecation timelines.
Deploy intake and processing applications that connect directly to Tabularium AI workflows.
Embeddable TIFF document workspace for source-image review, AI index context, search, selection, and page assembly inside existing systems.
Intake-only self-service applications for remote, lobby, and counter workflows that produce standardized ready-to-record packages with fix-lists.
Coming Q3 2026.
Manifest-based delivery appends visual summary pages for clerks while exporting XML indexes for import, letting Tabularium AI fit legacy recording systems without changes.
Tabularium AI uses precise usage-based billing rules powered by an industry-leading platform. Each invoice reflects real operations - charged per tool per page - without bundling or estimation. All processing, tuning, and refinement actions are accounted for to ensure fairness, flexibility, and full transparency. View the usage-based billing walkthrough
Detailed usage logs are available upon request. Reports include operation-level insights that map directly to billing.