higher sales conversion
40%
faster customer responses
75%
faster onboarding
90%
Stop Corporate Amnesia. Start Exponential Intelligence.
LoreCore transforms your company's fragmented data into a unified living memory—where every document, chat, and call becomes part of an intelligent knowledge graph that thinks, learns, and acts.
Knowledge
is Power²
We're not another search tool or chatbot. We're the Corporate Intelligence Operating System that transforms scattered data into exponential knowledge—where every fact connects to every other fact, creating business intelligence that compounds like interest.
LoreCore is the cure
for corporate amnesia
Companies lose up to 20% of employee productivity to information hunting. McKinsey research shows knowledge workers spend 2.5 hours daily searching for information. The global knowledge management market explosion from $770B to $2.1T by 2030 proves this pain is universal and urgent.
The Corporate
Memory Crisis
THE BUSINESS LORE REVOLUTION
  • Hours wasted searching for existing information

  • No clear path to internal experts

  • Constant reinvention of existing solutions
Individual
Contributors:
  • New employees take months to understand contexts

  • Same questions asked repeatedly across teams

  • Key knowledge walks out the door with departing staff
Department
Heads:
  • 50% lack complete data overview for decisions

  • Critical choices made on incomplete information

  • Same mistakes repeat due to fragmented memory
C-Level
Executives:
Real Pain by Role
Support,
sales,
devs
Co-pilots | bots | experts
Agents
Growth,
marrketing,
sales
Marketing | sales
gen content
Go-to-market
HR,
newcomers
Onboarding
self-service bots
Human resources
C-level,
finance
Management | analytics
Strategy
PMO,
tech-leads,
compliance
Knowledge management
meta data
Enterprise knowledge
Business use cases
API
SDK
E-BUS
Connects to every data source—Telegram, WhatsApp, Slack, email, CRM, ERP, documents. Each signal becomes a "Quant" (our atomic knowledge unit) with built-in metadata, permissions, and semantic tags.
Universal Data Ingestion
Connectors: chat, CRM, docs, e-mail, enterprise services
Perception
IV LAYER
III LAYER
II LAYER
I LAYER
Support,
sales,
devs
Co-pilots | bots | experts
Agents
Growth,
marrketing,
sales
Marketing | sales
gen content
Go-to-market
HR,
newcomers
Onboarding
self-service bots
Human resources
C-level,
finance
Management | analytics
Strategy
PMO,
tech-leads,
compliance
Knowledge management
meta data
Enterprise knowledge
Business use cases
API
SDK
E-BUS
Connects to every data source—Telegram, WhatsApp, Slack, email, CRM, ERP, documents. Each signal becomes a "Quant" (our atomic knowledge unit) with built-in metadata, permissions, and semantic tags.
Universal Data Ingestion
Connectors: chat, CRM, docs, e-mail, enterprise services
Perception
IV LAYER
III LAYER
II LAYER
I LAYER
I LAYER
Support,
sales,
devs
Co-pilots | bots | experts
Agents
Growth,
marrketing,
sales
Marketing | sales
gen content
Go-to-market
HR,
newcomers
Onboarding
self-service bots
Human resources
C-level,
finance
Management | analytics
Strategy
PMO,
tech-leads,
compliance
Knowledge management
meta data
Enterprise knowledge
Business use cases
API
SDK
E-BUS
Preserves original fidelity in MongoDB/S3 while creating semantic enrichment. Complete audit trails track knowledge evolution over time.
Intelligent Storage
Saving raw content:
MongoDB / S3
Content
IV LAYER
III LAYER
II LAYER
I LAYER
II LAYER
Support,
sales,
devs
Co-pilots | bots | experts
Agents
Growth,
marrketing,
sales
Marketing | sales
gen content
Go-to-market
HR,
newcomers
Onboarding
self-service bots
Human resources
C-level,
finance
Management | analytics
Strategy
PMO,
tech-leads,
compliance
Knowledge management
meta data
Enterprise knowledge
Business use cases
API
SDK
E-BUS
AI models extract deep meaning, creating multidimensional vectors for semantic search. The system understands concepts, synonyms, and context—not just keywords.
True data understanding
Vectors, classifiers, data augmentations
Semantic
IV LAYER
III LAYER
II LAYER
I LAYER
III LAYER
Support,
sales,
devs
Co-pilots | bots | experts
Agents
Growth,
marketing,
sales
Marketing | sales
gen content
Go-to-market
HR,
newcomers
Onboarding
self-service bots
Human resources
C-level,
finance
Management | analytics
Strategy
PMO,
tech-leads,
compliance
Knowledge management
meta data
Enterprise knowledge
Business use cases
API
SDK
E-BUS
RDF-based graph connects all Quants into unified intelligence fabric. Enables logical inference, discovering connections humans miss while maintaining explainability.
Knowledge Graph Brain
Quant OWL Ontology, RDF knowledge graph
Context
IV LAYER
III LAYER
II LAYER
I LAYER
IV LAYER
IV LAYER
III LAYER
II LAYER
I LAYER
LORECORE SOLUTION:
HYBRID AI INTELLIGENCE STACK
IV
III
II
I
LORECORE SOLUTION:
HYBRID AI INTELLIGENCE STACK
PMO,
tech-leads,
compliance
Enterprise knowledge
Knowledge management
meta data
C-level,
finance
Strategy
Management | analytics
HR,
newcomers
Human resources
Onboarding
self-service bots
Growth,
marketing,
sales
Go-to-market
Marketing | sales
gen content
Agents
Support,
sales,
devs
Co-pilots | bots | experts
Business use cases
Connects to every data source—Telegram, WhatsApp, Slack, email, CRM, ERP, documents. Each signal becomes a "Quant" (our atomic knowledge unit) with built-in metadata, permissions, and semantic tags.
Universal Data Ingestion
Connectors: chat, CRM, docs, e-mail, enterprise services
Perception
PMO,
tech-leads,
compliance
Enterprise knowledge
Knowledge management
meta data
C-level,
finance
Strategy
Management | analytics
HR,
newcomers
Human resources
Onboarding
self-service bots
Growth,
marketing,
sales
Go-to-market
Marketing | sales
gen content
Agents
Support,
sales,
devs
Co-pilots | bots | experts
Business use cases
Preserves original fidelity in MongoDB/S3 while creating semantic enrichment. Complete audit trails track knowledge evolution over time.
Intelligent Storage
Saving raw content:
MongoDB / S3
Content
PMO,
tech-leads,
compliance
Enterprise knowledge
Knowledge management
meta data
C-level,
finance
Strategy
Management | analytics
HR,
newcomers
Human resources
Onboarding
self-service bots
Growth,
marketing,
sales
Go-to-market
Marketing | sales
gen content
Agents
Support,
sales,
devs
Co-pilots | bots | experts
Business use cases
AI models extract deep meaning, creating multidimensional vectors for semantic search. The system understands concepts, synonyms, and context—not just keywords.
True data understanding
Vectors, classifiers, data augmentations
Semantic
PMO,
tech-leads,
compliance
Enterprise knowledge
Knowledge management
meta data
C-level,
finance
Strategy
Management | analytics
HR,
newcomers
Human resources
Onboarding
self-service bots
Growth,
marketing,
sales
Go-to-market
Marketing | sales
gen content
Agents
Support,
sales,
devs
Co-pilots | bots | experts
Business use cases
RDF-based graph connects all Quants into unified intelligence fabric. Enables logical inference, discovering connections humans miss while maintaining explainability.
Knowledge Graph Brain
Quant OWL Ontology, RDF knowledge graph
Context
decay without constant manual updates
Traditional
wikis
hallucinate without proper grounding
Basic
AI chatbots
finds files but misses context
Enterprise
search
can't understand relationships
Document
stores
Why Current Solutions Fail
Business Lore
Agents interaction
Source agnostic
System event bus
Core ontology
QUANT
specification
Object
specification
Agent
Symmetry
Humans, services, and LLMs are modeled as the same Agent class, enabling choreographed multi-agent workflows under uniform access control.
The Revolutionary Quant Paradigm
Every information object—document, message, model output, task—inherits the same Quant class. This eliminates schema drift and enables instant integration of new data types without complex ETL processes.
Open Quant Ontology (Apache 2.0)
Your data stays yours, forever
Unlike competitors who retrofit AI onto old architectures, LoreCore was built semantic-first:
What Makes LoreCore
Different
Text, audio, video, logs treated as first-class citizens
True Multimodality
Humans, services, and AI work as unified agents
Multi-agent Architecture
Knowledge graphs + vector search + reasoning engines
Hybrid AI Stack
Team scaling
1 staff
3 staff
Onboarding
3 days
2 weeks
Market analysis
20 min
4 hours
Web3 Fintech Startup
Challenge: Regulatory
knowledge + market analysis
Solution: Knowledge aggregation + automated reporting
Consultant workload
1-2 questions/day
10 questions/day
Campaign setup
1 day
4 days
Lead response
30 sec
3 hours
MLM Company
Challenge: Product knowledge + sales script management
Solution: FAQ bot + scientific reasoning corpus
Onboarding
1 week
4 week
Support SLA
10 min
20 min
Commercial proposals
40 min
1 day
IT Outsourcing
Challenge: Technical knowledge scattered across projects
Solution: LoreCore as internal knowledge base + developer assistant
PROVEN RESULTS:
PILOT SUCCESS STORIES
6-month average payback
ROI realization
93% active usage within 30 days
User adoption
48% faster than traditional systems
Response speed
5.3 hours per user
per week
Time savings
our partners
While competitors bolt AI onto legacy architectures, we built semantic-first from day one. Our open Quant ontology + multi-agent orchestration creates defensible technology moats that lock-in competitors can't replicate.
The LoreCore Advantage:
  • Unlimited users and data volume
  • Custom ontology development
  • Professional services and training
  • SLA support
  • Source code access to open components
Includes:
  • Financial services with data sovereignty requirements
  • Government contractors with security clearances
  • Healthcare with HIPAA compliance needs
  • Any organization requiring air-gapped deployment
Ideal for:
Complete control over data, security, and customization. Deploy within your infrastructure with unlimited users and full ontology control.
On-Premise option by request
Production Ready
Available Now!
Enterprise
DEPLOYMENT OPTIONS
Early Access Available
Coming Q4 2025
SaaS Solution
Up to 1000 users in one account!
Cloud-native deployment with rapid implementation. Perfect for growing companies needing enterprise capabilities without infrastructure overhead.
Early Access Benefits:
  • Founder-level access and input
  • Custom feature development priority
  • Preferred partnership terms
  • 50% discount on first-year pricing
with analityc
  • Productivity assessment
  • Use case identification
  • Business case development
  • Pilot program design
For Business Leaders
with our tech guy
  • Deep-dive technical demonstration
  • Integration planning workshop
  • Security and compliance assessment
  • Custom ontology design session
For Technical Leaders
HOW TO ENGAGE?
Implementation Process
Typical Timeline:
3-6 months from contact to full deployment
Architecture review
Pilot scoping
Limited deployment
ROI measurement
Organization-wide
implementation
Discovery (2-4 weeks)
Pilot (4-8 weeks)
Rollout (6-12 weeks)
Implemen-
tation Process
Deep-dive architecture review
The window for competitive advantage is closing rapidly. Organizations implementing AI-powered knowledge management now will establish sustainable productivity advantages while competitors struggle with information chaos.
Ready to Transform
Your Corporate Memory?
Private company Lorecore Limited
info@lorecore.ai