Data Corpus

Connect, Understand, Govern, Activate

Turn fragmented enterprise data and knowledge into a governed, AI-ready foundation for search, analysis, automation, and action.

Data Corpus.
Intelligence Starts Here.

Connect live enterprise data and digitized information into one governed, continuously evolving knowledge foundation that powers AI, analytics, workflows, and applications.

One

 Governed data foundation powering AI, analytics, workflows and applications across the enterprise.

Real Time

Keep enterprise knowledge continuously current through live connections 

100%

Source context, permissions and lineage preserved across connected enterprise knowledge

What Makes FinBlade
Data Corpus Different?

Key Features, Capabilities and Use Cases

What can FinBlade Connect to?

Connect enterprise information at the source, from core business applications and databases to repositories, APIs, operational systems, and real-time data.

  • Enterprise Applications: ERP, CRM, HR, finance, service management and other business systems.
  • Databases & Data Platforms: SQL databases, data warehouses, data lakes and enterprise data platforms.
  • Document Repositories: SharePoint, Microsoft 365, file servers, cloud storage and enterprise content repositories.
  • APIs & Services: REST APIs, MCP, microservices and external services.
  • Operational & Real-Time Systems: IoT, SCADA, GIS, telemetry, events and other live operational sources.
  • Files & Unstructured Content: PDF, Word, Excel, PowerPoint, images, scans, forms and other documents
  • Need a Specific Connection? If a required connector is not available, the FinBlade team can build a purpose-built integration for your system.

FinBlade D2D transforms scanned, unstructured and semi-structured documents into structured, validated data and automatically logs it into user-defined databases built directly within the FinBlade platform.

  • Build Your Data Structure: Define the database, tables and fields you need.
  • Process Any Document: Extract text, tables, fields, checkboxes, handwriting and other content from PDFs, scans, images, forms and enterprise files
  • Retain up to 99.9% of the original content
  • Advanced OCR and multilingual document intelligence.
  • Automate Extraction & Validation: Structure, normalize and validate extracted information using configurable rules, with human review where required.
  • Flexible Intake: Upload documents manually or ingest them automatically from connected systems.
  • Ready to Use: Processed information is logged directly into the database and immediately available for AI, analytics, dashboards, applications and workflows.

Use the same governed knowledge foundation across FinBlade instead of creating separate data layers for every AI use case.

  • Ground Agentic Chat AI and Specialized Agents in enterprise knowledge.
  • Power analytics, dashboards, search, and reporting with connected information.
  • Build workflows with trusted enterprise context and live data.
  • Support applications built in Studio AI with governed information.
  • Reuse the same knowledge foundation across departments, use cases, and AI experiences.

Transform fragmented information into a connected, contextual knowledge layer that AI and people can understand and use.

  • Connect structured data with documents, extracted content, and enterprise knowledge.
  • Build relationships across entities, records, documents, systems, and business context.
  • Organize information for semantic discovery rather than relying only on keywords.
  • Retrieve relevant context across multiple enterprise sources in a single query.
  • Source traceability and validation enable users to verify information and reduce unsupported responses

FinBlade provides enterprise knowledge and AI capabilities directly within the platform, with additional AI engineering support available for specialized model requirements.

  • Enterprise Grounding: RAG, Knowledge Graphs, semantic retrieval, enterprise search, live data access and source-referenced AI
  • Knowledge & Governance: Connect and structure enterprise knowledge while maintaining permissions, source context, lineage and governed access.
  • Model Fine-Tuning: Available with additional FinBlade AI team support when specialized behavior or task performance requires adaptation of the underlying model.
  • LLM Training & Custom Models: Available as an additional AI engineering service for highly specialized requirements requiring proprietary or deeply adapted models.

Choosing the Right AI Approach

How RAG, Fine-Tuning and LLM Training Differ and When to Use Each

Request Consultation

RAG & Knowledge Graphs

Grounded. Current. Traceable.

Connect AI to current enterprise knowledge and live data without changing the underlying model. For most enterprise use cases, this provides the knowledge, context and traceability AI needs.

  • Model Weights.
    No change
  • Knowledge.
    Live external sources
  • Best When.
    Knowledge changes often
  • Strength.
    Citations & access control
  • Effort.
    Data + retrieval foundation
  • Typical Fit.
    Enterprise search & agents

LLM
Fine-Tuning

Focused. Repeatable. Adapted.

Adapt an existing model when RAG alone cannot deliver the required specialized behavior, consistency or task-specific performance. Improve a stable task, output format, classification, or domain behavior.

  • Model Weights.
    Updated selectively
  • Knowledge.
    Curated training examples
  • Best When.
    Task behavior is stable
  • Strength.
    Consistency at scale
  • Effort.
    Labeled data + evaluation
  • Typical Fit.
    Select advanced use cases

LLM
Training

Deep Adaptation. Proprietary AI.

Train a model when existing foundation models cannot provide the specialized capabilities, control or domain performance required. Requires substantial data, compute, and governance.

  • Model Weights.
    Updated extensively
  • Knowledge
    Large specialist corpus
  • Best When.
    Strategic scale justifies it
  • Strength.
    Deep domain adaptation
  • Effort.
    Very high data + compute
  • Typical Fit.
    Highly specialized requirements

Data Corpus Built for Enterprise

Connected to Your Data

Connect databases, applications, repositories,
APIs and live data sources to create a
continuously accessible enterprise data
foundation.

Document-to-Database

Transform PDFs, scans, forms, images and
other unstructured content into validated,
database-ready information through the
FinBlade D2D engine.

Knowledge with Context

Preserve relationships, metadata, source
references and organizational context so AI can understand not only the information, but how it connects.

Governed by Design

Maintain role-based access, permissions,
classification, lineage and governance as information is retrieved and used across AI and applications.

Data Privacy

Keep sensitive enterprise data within your
controlled and air-gapped environments. Your
data is not used to train public AI models.

Traceable & Auditable

Maintain source references, lineage and activity history so information, AI outputs and actions can be traced back to their underlying sources and context.

Enterprise Intelligence That Moves Work Forward.

A complete, governed AI platform to search, analyze, create, automate and execute across your enterprise. Delivering immediate productivity gains and creating long-term institutional value.

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FinbladeAI Platform

AGENTIC COMMAND CENTER

AI-Supported Enterprise Operating Model

WORKFLOW AI

Connect, Automate, Orchestrate, Execute

STUDIO AI

Create, Connect, Visualize, Operate

AI Agents

Define, Reason, Orchestrate, Execute

DASHBOARDS & BI

Analyze, Visualize, Monitor, Act

DOCUMENT DIGITALIZATION

Extract, Structure, Validate, Activate

VIDEO AI / CCTV

Monitor, Escalate and React in Real-Time

ROUTE OPTIMIZATION

Faster, More Efficient and No Delays

MOBILE APP

Enterprise AI. Wherever Work Happens

Agentic Chat AI

Understand, Analyze, Create, Execute