AI Knowledge Base
companies
A corporate knowledge management system that aggregates data from internal sources and provides answers to business queries with reference to the sources.
RAG first finds relevant information in your documents (PDF, Docx, ERP) and then formulates an accurate answer with a link to the source.
Transformation
From chaos to managed knowledge
Employees spend up to 20% of time searching for information. We turn your data into an asset.
Operational speed
Instead of hours of searching through folders, you get an instant response. Employees focus on making decisions, not on mechanically reading hundreds of pages of regulations.
Preservation of expertise
Company knowledge no longer resides only in the heads of individual specialists. It is digitized, structured and available to every team member at any time.
Working with the truth
AI bases its conclusions solely on your verified documents. This ensures the absence of «hallucinations» and 100% compliance with corporate standards.
Scalable intelligence
The system works equally well with 10 or 10,000 users, providing each with a personalized, highly qualified AI mentor.
TECHNOLOGY
Retrieval-Augmented
Generation
Data does not leave your perimeter
Instant scanning of terabytes
Sources of knowledge
Documents, APIs, Wiki, ERP, CRM
Retrieval Engine
Intelligent search by meaning (Semantic Search)
LLM Verification
Generate a response with a reference to sources
OPPORTUNITIES
Functional vectors of the system
Search in natural language
Ask the system as a colleague. AI understands the context of the query, even if the document uses different words.
Links to sources
Each AI response is accompanied by a link to a specific page or paragraph in the internal document.
AI classification
Automatically sort incoming documents by topic, project, or confidentiality level.
Auto-generation of documents
Creation of a CP, ToR, or SOP based on your company's style knowledge base and standards.
ARCHITECTURE
Scalable knowledge infrastructure
Ingestion Layer
API connectors to ERP, CRM, file storage, and email. Seamless real-time data collection.
Knowledge Layer
Vector knowledge base (Qdrant) + semantic link graph for deep contextual understanding.
Application Layer
Smart AI interface, automation scenarios, and integration into work messengers.
EFFICIENCY
Examples of implementation
AI Knowledge Hub
Global FMCG Company
Creating a single window of access to corporate knowledge: from technical regulations to marketing strategies.
Result: The speed of information search has increased 120 times.
Legal Analyst
International Law Firm
Automate contract audits: identify risks, inconsistencies, and automatically compare with standard templates.
Result: The time to audit one contract has been reduced from 4 hours to 8 minutes.
TECHNOLOGIES
Tech stack
We use an advanced technology stack to build fault-tolerant and intelligent enterprise-level RAG systems.
PROCESS
Our approach: Pilot-First
Quick start, hypothesis testing, scaling.
Pilot Launch
Quickly deploy a prototype on limited data to test accuracy and ROI.
Deep Discovery
A detailed audit of all knowledge sources, building architecture and mapping processes.
Engineering
Development of a full-scale system with support for Multi-agent workflows and APIs.
Deployment
Industrial launch, staff training, and full migration of corporate knowledge.
Growth
Support, model training, and expansion of the system to new business verticals.
Ukrainian
Russian
English