From files to knowledge
Layout, tables, figures and page coordinates are preserved, solving comprehension of scanned documents, two-column papers and tables that span pages.
ENTERPRISE KNOWLEDGE INTELLIGENCE
High-precision knowledge powers
the enterprise AI frontier
Turn the enterprise knowledge locked in documents, spreadsheets, drawings and business systems — across healthcare, manufacturing and other document-heavy industries — into intelligence that can be accurately cited, continuously governed and delivered as business results.
Retrieval with knowledge refinementVerifiable source citations
WHY NEXTAI
An agent without accurate data
is a castle in the air.
With healthcare as its primary focus, NextAI turns clinical research, drug filings, regulatory guidance, SOPs and test reports — along with manufacturing drawings, process documents, quality records and equipment manuals — into knowledge assets that can be cited precisely and traced back to the source.
See the technical pathFrom retrieval to evidence
Vectors, keywords, graphs, concept trees and structured data recall together, so answers are not just fluent but grounded in the original material.
From answers to deliverables
Agents orchestrate retrieval, tools and rules to produce reports, tables and data files, so business tasks actually get done.
From usable to controllable
Private and intranet deployment are supported, with commercial or open-source models chosen per scenario; permissions, auditing, versioning and rollback keep knowledge intelligence sustainable.
CORE CAPABILITIES
Covering the full lifecycle of enterprise knowledge
Three pillars — the knowledge base, high-precision knowledge Q&A and multi-agent orchestration — connect the full path from ingestion and governance to business delivery.
Knowledge base construction
Complex material enters the enterprise knowledge foundation with its structure preserved, its provenance attached and its content searchable.
- Parses large files — hundreds of megabytes of PDF, Word, Excel, images and Markdown
- Syncs remote data sources over SharePoint and FTP / SFTP
- Knowledge graphs and concept trees give the AI an enhanced index
High-precision knowledge Q&A
An upgrade from "a few matching paragraphs" to a workflow that understands the question, organizes recall, refines the knowledge and generates the answer.
- Multi-path recall and knowledge refinement: vectors, keywords, graphs, concept trees and structured data are fused, then answered after question preprocessing, parallel recall and refinement.
- Cites original excerpts, clickable for verification and traceback
- Opens retrieval through MCP services, so agents such as Copilot and Workbuddy can plug in
Multi-agent
Agents and tools are orchestrated into governable units of business collaboration that deliver a result people can actually use.
- Expert agents and reusable Skill packages
- Division of labour and task handoff across agents
- Outputs reports, tables, charts and data files
TECHNOLOGY ARCHITECTURE
Product architecture
Choose and combine deployment environments, OCR parsing engines and large models freely — neither the business logic nor the user experience has to be rebuilt.
Application & integration
APPLICATION
Retrieval & reasoning
RETRIEVAL & REASONING
Index & storage
INDEX & STORAGE
Knowledge processing
PROCESSING
Ingestion
INGESTION
SECURITY & GOVERNANCE
The more critical the knowledge,
the more it needs real governance.
From data ingestion, authentication and authorization through to every model and vector call, the platform meets enterprise expectations for trustworthy AI in an auditable way.
Private and intranet operation
Deploy in your own data centre or intranet, so knowledge assets and model calls never leave the boundary; choose a model provider you trust or plug in open-source models, configured per scenario.
Tiered access control
Access boundaries are built around organizations, roles and resources, so each member sees the knowledge they should.
Traceable sources
Answers lead back to the original text and every citation is verifiable, helping teams check the evidence quickly.
Fully auditable calls
Query context, sessions and resource calls are recorded, providing a basis for operational tuning and compliance review.
CUSTOMER STORIES
Customer stories
CASE 01 · LIFE SCIENCES
Automated HCP eligibility review
Scenario
Reviewing applications and supporting documents from physicians and medical institutions to judge whether they meet admission criteria.
Pain point
Reading each file, comparing it against the criteria and writing conclusions is repetitive work that easily misses items or triggers repeated requests for more documents.
Solution
Application materials are read automatically and compared item by item against the criteria, producing a review conclusion, the reasoning behind it and a list of missing documents.
CASE 02 · LIFE SCIENCES
Automated IND filing preparation
Scenario
Organizing key information from experiment reports into filing documents in a prescribed format.
Pain point
Reading reports, filling templates, generating documents and uploading deliverables are all manual, time-consuming and prone to omissions.
Solution
Required information is extracted from reports, documents are generated from the template and delivered, cutting repetitive collation work.
CASE 04 · LIFE SCIENCES
SOP compliance assistant for lab work
Scenario
Experiments in drug development, quality control and production must follow approved company SOPs and meet applicable GxP requirements in target markets such as China, the US and the EU.
Pain point
SOPs, regulations and version updates are scattered; staff struggle to determine applicable requirements quickly, and version misuse, missing records or deviations amplify audit risk.
Solution
Drawing on authorized SOPs, regulations and the knowledge base, the assistant states the operating requirements, their basis and their version source for each step, and flags QA review when something looks ambiguous or deviant.
CASE 03 · FOOD MANUFACTURING
FSMA risk review agent
Scenario
Food producers must review ledgers, plans and production records to identify risks of violating FSMA and HACCP requirements.
Pain point
Records are voluminous and inconsistently formatted; fine details of temperature, sterilization and cleaning are easily missed, and problems are often found only just before an inspection.
Solution
Based on authorized regulations, company SOPs and checklists, records are read automatically, anomalies identified with matching risk points and remediation advice, and a review checklist is generated for the food safety lead.
CASE 05 · SMART MANUFACTURING
Product selection agent
Scenario
Sales need to find product documentation and key parameters quickly and complete a first-pass product selection based on customer needs.
Pain point
Sales repeatedly ask IT for materials, and IT searches SharePoint and other systems and sends results back by hand; the waiting, back-and-forth and repeated confirmation take time and are tightly permission-bound.
Solution
Authorized product documentation is synced into the NextAI RAG knowledge base. Sales ask in natural language, and the agent locates files, extracts parameters and analyses options, returning a matched proposal, technical advice and the sources behind them.
CASE 06 · CORPORATE FUNCTIONS
Contract comparison assistant
Scenario
The commercial team reviews countersigned customer contracts clause by clause against the standard templates in the knowledge base.
Pain point
Comparing one contract by hand takes 1–3 hours, subtle changes in wording, amounts and terms are easily missed, and judgement criteria vary between reviewers.
Solution
The standard template is retrieved automatically, additions, deletions and modifications are identified, and a change list plus red-line annotations in the countersigned contract are produced for commercial review.
BUILD ACCURATE KNOWLEDGE
Want to build accurate knowledge together?
Start with one real business demo.
Bring a real business question and your data, and we will work through parsing, retrieval and cited answers step by step to find a verifiable path to improvement.