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.
Adaptive
It recognizes users, understands their behaviors, and adapts accordingly for personalized experiences.
Interactive
Engages in meaningful conversations, providing suggestions and timely reminders based on user input.
Dynamic
Learns from interactions, incorporating new knowledge to improve performance and expand capabilities over time.
Where Constructor Model is used?
Content generation & research
Education & assessment
Corporate & business optimization
Collaboration & scheduling
Event management & networking
AI-driven knowledge processing
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.
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.
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.
Collaboration & scheduling
- Teams collaboration: Intelligent user engagement tracking and automated task recommendations.
- Scheduling & resource optimization: Smart scheduling systems for institutions and enterprises.
Event management & networking
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.
Knowledge Model that goes beyond chat and search
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-visual input
Upload and train your model with multi-format data - text, pictures, charts and videos.
Computer language code
Models can understand and write code.
Meta information
You don't need to configure or maintain our models. They handle their own setup and data.
Select your model
Simply choose different LLMs you want to run and customize them on the go.
Advanced API integration
Effortlessly integrate with other solutions, tools, and data sources.
Elija el modo de evaluación
Verificación automatizada
| Capacidades básicas de IA | |
Este modo básico utiliza la inteligencia artificial (IA) para supervisar a los candidatos durante una evaluación sin intervención humana directa.
¿Tiene limitaciones de tiempo y presupuesto? El modo totalmente automatizado es la opción ideal para realizar pruebas y certificaciones eficientes.
| Identificación de candidatos
Informe detallado de infracciones
Grabación de audio, vídeo y pantalla
Cálculo de la probabilidad de hacer trampas |
Revisión posterior
| Capacidades | |
| Con todas las ventajas del modo de supervisión automatizado, se añade un paso adicional tras la evaluación. Una vez finalizado el análisis de IA, un supervisor humano revisa las grabaciones para garantizar su precisión e integridad. | Capacidades básicas de IA
Informes descargables de sesiones e infracciones
Fotos de la 2ª cámara incluidas en el informe
Conclusión realizada por un supervisor humano |
Control en directo
| Capacidades | |
| En esta modalidad, las capacidades básicas se combinan con el seguimiento en tiempo real por parte de un supervisor humano, desde 5 hasta 150 candidatos. El supervisor extrae conclusiones que garantizan una evaluación y un seguimiento en profundidad. | Capacidades básicas de IA
Visión mejorada de los candidatos por puntuación del supervisor
Envío de mensajes masivos a todos los candidatos
Conclusión realizada por un supervisor humano |
Control en directo
| Capacidades | |
| En esta modalidad, las capacidades básicas se combinan con el seguimiento en tiempo real por parte de un supervisor humano, desde 5 hasta 150 candidatos. El supervisor extrae conclusiones que garantizan una evaluación y un seguimiento en profundidad. | Capacidades básicas de IA
Visión mejorada de los candidatos por puntuación del supervisor
Envío de mensajes masivos a todos los candidatos
Conclusión realizada por un supervisor humano |
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.
Conference knowledge graph for general overview
Participants explore conference details, speakers, and the scientific field status through a dashboard.
In-conference interaction
Participants can join live Q&A during sessions and access conference materials afterward.
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.
1. What industries can benefit from Constructor Model?
Constructor Model is used in education, research, corporate management, HR, business intelligence, and sports analytics. Its AI-driven capabilities optimize workflows, automate decision-making, and enhance collaboration across various domains.
2. Is all the data safe with Constructor Model?
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.
3. Why is Constructor Model more accurate than general AI models?
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.
4. How does Constructor Model fit into my current workflows?
The AI adjusts to your processes, making it easier to get useful insights without changing the way you do things.
5. Can I control who has access to my data?
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.
6. Can Constructor Model adapt as my needs change?
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.
Desarrollado por
Desarrollado por
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