Transform your industry through intelligence and automation

Make intelligent decisions, automate workflows, and personalize your experiences with the help of:

Advanced knowledge processing

AI-driven information retrieval, structuring, and transformation.

Neuro-adaptive learning

A dynamic model that continuously learns and optimizes user experiences.

Seamless integration

Designed to augment third-party products across education, research, automation, and enterprise solutions.

Constructor Model is adaptive, interactive & dynamic

Constructor Model is more than an AI engine—it is alive and constantly evolving based on interactions and user needs.

Customizable Model persona and tone

Adaptive

It recognizes users, understands their behaviors, and adapts accordingly for personalized experiences.

Interact with your organization's knowledge

Interactive

Engages in meaningful conversations, providing suggestions and timely reminders based on user input.

Conference knowledge graph for general overview

Dynamic

Learns from interactions, incorporating new knowledge to improve performance and expand capabilities over time.

Where Constructor Model is used?

 

Content generation & research

  • Grants matching & proposal writing: AI-driven funding opportunity identification and compliance tracking.
  • Scientific publishing: Automated literature reviews, peer-review support, and TeX-like syntax editing.
  • Educational content creation: AI-enhanced learning material generation aligned with professional standards.
Scientific publishing: Automated literature reviews, peer-review support, and TeX-like syntax editing.

Education & assessment

  • Adaptive learning: AI-powered customization of student learning journeys.
  • Automated assessments: Real-time grading and plagiarism detection.
  • Proctoring & exam integrity: AI-driven monitoring for secure and unbiased assessments.
Education & assessment

Corporate & business optimization

  • Compliance review: Draft, validate, and respond to changes in content based on reference documentation.
  • Strategic decision-making: AI-powered insights for business growth and risk management.
  • Talent acquisition & candidate matching: AI-driven hiring tools match candidates to roles based on skills, experience, and cultural fit.
  • Employee learning & development: AI tracks employee progress and recommends personalized learning plans.
Compliance review: Draft, validate, and respond to changes in content based on reference documentation.

Collaboration & scheduling

  • Teams collaboration: Intelligent user engagement tracking and automated task recommendations.
  • Scheduling & resource optimization: Smart scheduling systems for institutions and enterprises.
Collaboration & scheduling

Event management & networking

AI-optimized conference organization, participant matching, and peer reviews.

AI-optimized conference organization, participant matching, and peer reviews.

AI-driven knowledge processing

  • Content processing: AI-powered text, symbols, and data generation.
  • Code optimization: AI-enhanced development workflows.
  • Intelligent inference: Advanced AI-driven analysis and predictions.
AI-driven knowledge processing

Knowledge Model that goes beyond chat and search

Server-Data from daily interaction

Data from daily interactions

A centralized, secure hub for your documents, git commits, research papers, lab notes, business data and video calls.

Text and audio inputs

Text and audio-visual input

Upload and train your model with multi-format data - text, pictures, charts and videos.

Train code

Computer language code

Models can understand and write code.

Meta information

Meta information

You don't need to configure or maintain our models. They handle their own setup and data.

Trained ML Models in the research platform

Select your model

Simply choose different LLMs you want to run and customize them on the go.

api integration

Advanced API integration

Effortlessly integrate with other solutions, tools, and data sources.

Key components of Constructor technology

Constructor Model use case: AI conference assistant

Application examples:

Speakers' profiles and networking recommendation

Participants search for and get customized responses to the sessions, papers, or activities most relevant to their research or interests.

Speakers' profiles and networking recommendation

Conference knowledge graph for general overview

Participants explore conference details, speakers, and the scientific field status through a dashboard.

Conference knowledge graph for general overview

In-conference interaction

Participants can join live Q&A during sessions and access conference materials afterward.

In-conference interaction

Constructor Model latest updates

We’ve added support for the latest LLMs, including Anthropic - Claude 3.7 Sonnet, OpenAI’s O3-mini, Google Gemini Flash 2.0, and DeepSeek V3 and R1 models hosted securely by trusted partners.

Questions? Answers.

Trusted by research institutions and teams

Constructor University logo
Acronis logo
Università degli Studi di Milano-Bicocca logo
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