AI Digital Archive & Document Intelligence UK | Tech Nova AI
Enterprise Document AI

AI Digital Archive & Knowledge Retrieval

Transform business documents, PDFs, scanned files and operational knowledge into a secure, searchable archive with OCR, metadata extraction, semantic search and RAG-ready access.

Discuss Your Archive AI Integration
AI digital archive and document intelligence platform
Enterprise digital archive and searchable document management
Digital Archive AI

Turn Documents Into Searchable Business Knowledge

Tech Nova AI helps organisations modernise document-heavy processes by building secure digital archive platforms that make information easier to capture, classify, search and reuse.

We combine enterprise software delivery with AI, OCR, metadata extraction, semantic search and Retrieval-Augmented Generation so teams can find answers across contracts, policies, case files, reports and operational records without relying on manual folder searches.

OCR & PDF Processing
Semantic Search
RAG-Ready Knowledge
B2B Delivery Model
Business Value

Designed for B2B Document Operations

A digital archive should do more than store files. It should help your team reduce manual admin, protect institutional knowledge and access reliable information faster.

Faster Discovery

Search by meaning, metadata, entities and document content instead of file names only.

Document Intelligence

Extract structured information from PDFs, scanned documents and business records.

AI Knowledge Access

Enable summarisation, question answering and RAG-based knowledge retrieval.

Controlled Delivery

Built with security-aware architecture, access control and maintainable software practices.

AI document processing and archive workflow
What We Build

From Legacy Files to Cloud-Ready Archive Platforms

We can help you move from scattered folders, manual document handling or legacy archive tools into a modern platform that fits your existing technology environment.

Digital File Intake
Metadata Extraction
Document Summaries
Vector Search
API Integration
AWS / Azure Deployment
Request Archive Consultation
Semantic search and similarity search for enterprise documents
Semantic Search

Find Relevant Information Without Exact Keywords

Traditional search often fails when teams do not know the exact file name, wording or location. Semantic and similarity search helps users find related records, clauses, reports and evidence based on meaning.

This is especially useful for legal teams, operations teams, compliance workflows, financial records, public-sector reports and businesses with large historical document collections.

Meaning-Based Search
Knowledge Retrieval
RAG Pipelines
Chatbot Access
Delivery Process

How We Deliver Digital Archive Projects

1. Discovery

Understand documents, users, workflows, security needs and success criteria.

2. Architecture

Design archive structure, data model, AI pipeline, APIs and deployment approach.

3. Build

Implement OCR, ingestion, search, summarisation, RAG and user-facing workflows.

4. Handover

Deploy, document and support the solution with maintainable engineering practices.

Project Enquiry

Discuss Your Digital Archive Project

Tell us what kind of documents, legacy systems or knowledge repositories you want to modernise. We will review your requirement and suggest a practical B2B delivery approach.

  • Digital archive and document intelligence projects
  • OCR, semantic search, RAG and chatbot access
  • Cloud-ready delivery using AWS, Azure, Docker and APIs
  • Suitable for scoped B2B and Outside IR35 engagements

Request a Free Technical Consultation

Share a few details and we will get back to you to discuss fit, scope and next steps.

No legal IR35 status determination is provided by this form. We will discuss delivery model, scope and working practices during discovery.
FAQ

Digital Archive AI Questions

Practical answers for UK organisations planning OCR, document intelligence, semantic search and searchable digital archive projects.

Yes. We can assess current folders, databases, file stores or legacy document systems and design a practical migration path into a modern, searchable digital archive.

We can build OCR pipelines, extract metadata, create vector search indexes and add semantic search or AI-assisted retrieval so teams can find business-critical documents faster.

Yes. We can integrate with .NET systems, APIs, SQL databases, cloud storage, internal portals and existing operational workflows where technically appropriate.

The service is designed for scoped B2B delivery with clear milestones, agreed outputs and practical handover. Outside IR35 suitability depends on the contract and working practices for each engagement.