Constructor Model

Build scalable AI solutions with accuracy, security, and adaptability

Build and customize your own models

The foundational models may be great for broad applications, but they often miss the mark when it comes to your specific needs.

Access domain-specific knowledge tailored to your industry

Organize your information to produce accurate results

Align models with your existing processes

Securely use models with your confidential data

Rapidly deploy customizable AI solutions based on your inputs

Extend models with agents and tools for your business or research scenarios

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.

What can you achieve with Constructor Model?

Get personalized and accurate responses for all disciplines:

  • Automate scientific literature reviews
  • Brainstorm and explore hypothesis
  • Gather and manage references
  • Faster fill patents and prepare papers for publishing
  • Reduce customer and employee support costs
  • Organize employee, financial, sales, operational, compliance and recruitment data
  • Simplify and personalize employee onboarding and training
  • Improve hiring by automated candidate sourcing, assessment, and matching
  • Reduce administrative tasks
  • Automate online assessments grading and proctoring
  • Create and adapt courses
  • Analyze enormous amounts of scientific data
  • Assist students on university policies
  • Deliver more value to sponsors and participants
  • Increase participants engagement
  • Track the topics that attract the most interest
  • Streamline content sourcing and selection process

Trusted by

Constructor University logo
Acronis logo
Università degli Studi di Milano-Bicocca
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What is the difference between LLMs and Constructor Model?

Feature

LLMs (Large Language Models)

Constructor Model

Best forGeneral language processing tasks, content generation for broad applicationsSpecialized tasks in specific industries and workflows for faster ROI
Data usageTrained on broad, general datasetsBuilt on your private, domain-specific data
CustomizationLimited customization for specific industriesFully customizable for specific industry needs and processes
AccuracyProne to data hallucination and inaccuracy for specialized tasksDelivers domain-specific, accurate results grounded in your unique data
AdaptabilityOne-size-fits-all approach, struggles with specific workflows Fully adapts to your business workflows, ensuring actionable outputs
Data securityPotential privacy risks as data may be processed externallyEnsures data privacy by keeping your confidential data within your secure environment
IntegrationRequires development effort for integration into your business solutions and processesSeamless low-code integration with existing business and research workflows

How AI can support research?

Learn how AI can support research in our webinar, "From Manual to Machine: AI Impact in Modern Research".

 

Prof. Roche and his team share their insights on using AI to design advanced materials, featuring a live demo in Constructor.

"Working with Constructor Tech, we’ve been impressed by its flexibility and support for research workflows. Its versatile features and professional assistance have been key to advancing our AI projects for materials design. Constructor Model especially stands out as a competitive solution, driving innovation and enabling business growth in AI for material design and engineering."

 

Prof Dr Stephan Roche

ICREA Research Professor at the Catalan Institute of Nanoscience and Nanotechnology

Constructor Model use case: AI conference assistant

Application examples:

Speakers' profiles and networking recommendation
Conference knowledge graph for general overview
In-conference interaction

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

Questions? Answers.

Unlike general models like GPT, which are trained on broad data, Constructor Model focuses on your unique business data, so the AI works in a way that makes sense for you.

Yes, your data is secure. Unlike public AI models that might pose privacy risks, we keep your data private and ensure it’s only used within your organization.

Big, general AI models can be inaccurate or even make things up since they’re trained on all kinds of data. Constructor uses your data to provide more accurate and relevant results for your business.

The AI adjusts to your processes, making it easier to get useful insights without changing the way you do things.

Definitely! You have full control over who can access your data and AI models, so you can keep sensitive information secure and only share it with the right people.

Constructor Model is cost-effective because you don’t need to buy extra cloud space, computational resources, or datasets. It’s designed to be efficient without adding unnecessary costs. 

Yes, Constructor Model can easily adapt. As your business grows or your needs change, you can tweak the AI to ensure it continues working for you.