Assistentus - AI Assistant that doesn't ask for a salary

Autonomous AI assistant with vector memory that works 24/7, remembers everything about your business and saves 2-5M ₽/year on payroll. Manages the entire Giper AI ecosystem.

Vector Memory

Remembers and connects all facts semantically

Temporal Graph

Understands temporal connections between events

Control Center

Orchestrates all Giper AI products

Self-learning

Becomes more personalized with every interaction

Limitations of ordinary AI assistants

  • ×Forget context between sessions
  • ×Don't see connections between different topics
  • ×Lack understanding of temporal dependencies
  • ×Every conversation starts from 'fresh start'
  • ×Cannot coordinate other systems' work

Revolutionary Approach: Assistentus

  • Persistent Memory: Vector database of all interactions
  • Temporal Thinking: Knowledge graph with time links
  • Contextual Understanding: Links new requests to history
  • Ecosystem Management: Coordinates all Giper AI products

Memory System Architecture

At the heart of Assistentus lies a unique memory architecture that allows it to not just store, but understand and connect information.

Vector Memory

  • Semantic Search: Search by meaning, not just keywords
  • Embedding Indices: Multidimensional representation of all data
  • Contextual Clustering: Auto-grouping of related topics
  • Personalized Vectors: Unique model for each user

Temporal Knowledge Graph

  • Time Nodes: Every fact is tied to an exact time
  • Entity Evolution: Tracking changes of people/projects/etc
  • Cause-Effect Links: Understanding dependencies between events
  • Data Actualization: Auto-updating of outdated info

Relationship Graph

  • Entities: People, projects, companies, events, tasks, files
  • Relations: Works in, manages, linked with, affects, created for
  • Attributes: Time periods, confidence level, importance
  • Meta-context: Conditions under which a link is relevant

Giper AI Ecosystem Management

Assistentus is the brain of the entire operation, coordinating specialized AI modules.

Central Coordinator

  • Receives all user requests.
  • Analyzes context based on full history.
  • Decides which Giper products to involve.
  • Coordinates Contenter, Manager, Support.
  • Synthesizes results into a single, cohesive response.

Product Interaction

Assistentus (center) ↔ Giper Contenter (content)
                      ↔ Giper Manager (sales)
                      ↔ Giper Support (support)
                      ↔ Giper Analytics (analytics)

What Assistentus Can Do

Level 1: Basic Memory

  • Remembers absolutely all conversations, docs, decisions
  • Instant semantic search across all history
  • Analysis of behavior patterns and preferences
  • Personalized recommendations based on history

Level 2: Temporal Thinking

  • Understands time connections between events
  • Tracks evolution of projects, ideas, relationships
  • Predicts situation development based on patterns
  • Adapts to changes in your preferences and goals

Level 3: Ecosystem Management

  • Coordinates all Giper AI products
  • Ensures unified context for all interactions
  • Orchestrates complex multi-stage business processes
  • Transfers knowledge and experience between systems

Practical Scenarios

See how Assistentus solves complex tasks by coordinating the Giper AI ecosystem.

Scenario 1: Complex Task

User: 'Need to launch a campaign for a new product'

Assistentus analyzes:
- Previous campaigns from history
- Current projects and resources
- Audience preferences
- Seasonal trends
Coordinates:
- Giper Contenter: content creation
- Giper Manager: proposal preparation
- Giper Support: knowledge base prep
- Giper Analytics: metric setup
Result: Campaign launched in 2 hours instead of 2 weeks.

Scenario 2: Strategic Planning

User: 'How is the automation project doing?'

Assistentus:
'Project started Jan 15 with 2M₽ budget. 67% progress.
Main delay: CRM integration (like in 2023 project).
Recommendation: involve same consultant - Mikhail Petrov.
Already prepared technical requirements and sent him a proposal.'

Technical Features

Memory Architecture

Vector DB: Pinecone/Weaviate. Graph DB: Neo4j. Search: Elasticsearch. Cache: Redis. Streaming: Kafka.

Machine Learning

Fine-tuning, LSTM/GRU, Graph Attention Networks, Reinforcement Learning.

Security

AES-256 encryption, Zero-knowledge, federated learning, full audit trail logging.

Ecosystem Integration

All products work as a single organism, sharing data and context in real-time.

Interaction Schema

All requests go through Assistentus, which ensures common context, coordinates modules, synthesizes result, and learns from feedback.

User → Assistentus → Context Analysis → Product Selection → Coordination → Result Synthesis → System Learning

Pricing and implementation

Choose a plan that fits your needs and start using the full power of Assistentus.

Personal

45 000₽/mo
  • Up to 1M facts
  • Basic ecosystem
  • Standard support
Popular

Professional

85 000₽/mo
  • Up to 10M facts
  • Extended ecosystem
  • Priority support
  • API access

Business

150 000₽/mo
  • Up to 50M facts
  • Full ecosystem
  • Personal manager
  • SLA

Enterprise

Custom/mo
  • Unlimited facts
  • Corporate features
  • Custom integrations
  • Dedicated infrastructure

Implementation Process

1

Needs Analysis

1 week

Studying your business processes and goals.

2

Memory Setup

2 weeks

Loading and indexing historical data.

3

Ecosystem Integration

2 weeks

Connecting all necessary Giper products.

4

System Training

1 week

Personalization and model fine-tuning.

5

Testing & Launch

1 week

Final configuration and handover.