About Partenit

About Partenit

Partenit is a leading developer of artificial intelligence solutions, specializing in creating intelligent platforms that enable precise, context-aware interactions with data. Our advanced technologies, including DeepContext AI and Retrieval-Augmented Generation (RAG), empower companies to automate processes, streamline information management, and enhance the effectiveness of business decision-making.

Key Benefits:

Up to 75% reduction in solution development time, significantly accelerating access to business insights.
Up to 50% cost savings on team expenses through optimized organizational structures.
95% success rate in solution implementation due to thoughtfully designed architectures and highly accurate algorithms.
Security and scalability through vendor-independent solutions, customizable to meet industry-specific requirements.

Partenit was founded by an experienced team of AI and machine learning specialists who have collectively delivered over a dozen successful AI projects. Over the past three years, we have developed and implemented cutting-edge solutions for sectors including finance, manufacturing, energy, telecommunications, and IT, helping our clients enhance business process efficiency and improve decision-making.

In knowledge automation and decision support, we have developed AI assistants that analyze and process extensive textual data, including legislative documents, technical documentation, and customer inquiries. These solutions have been successfully deployed in legal firms, IT corporations, and financial organizations, accelerating data analysis and increasing decision accuracy.

For the energy and industrial sectors, our AI solutions streamline the processing of technical documentation, optimize production processes, and automate corporate training. Leveraging GPT-4-Vision technology allowed the integration of text and image processing, substantially improving employee productivity.

In HR and talent management, our intelligent systems automate candidate sourcing and recruitment through semantic analysis of resumes and job descriptions, significantly reducing recruitment costs and enhancing candidate fit for organizational needs.

In customer service and user support, our AI assistants and voice-enabled solutions drastically reduce response times, increase personalization, and boost overall customer satisfaction.

Team Competencies:

The Partenit team possesses deep expertise in artificial intelligence, machine learning, and big data management. Our specialists create AI-driven solutions across diverse sectors, including medical technology, finance, legal tech, and business process automation. We actively leverage generative AI to develop intelligent systems that deliver personalized, highly accurate results.

AI and ML Developers – Experts in generative AI, neural networks, natural language processing (NLP), and computer vision.
Data Architects – Specialists in data structuring and developing reliable, scalable AI solutions.
Business Analysts and Product Managers – Professionals who adapt AI technologies to address specific business objectives.

How can we help you?

We provide customized AI solutions tailored to various industries, ensuring intelligent data analysis, process automation, and enhanced operational efficiency.

About  DeepContext AI

Artificial intelligence has evolved rapidly, enabling impressive feats—from engaging conversations to complex problem-solving. Yet one key element is often missing: genuine, human-like memory. Today’s AI frequently forgets previous interactions, making every conversation feel like the first. At Partenit, we’re solving precisely this problem.

Why Memory Matters for AI

AI models like ChatGPT and similar large language models face inherent limitations due to their constrained memory windows. They quickly lose context, limiting their ability to offer personalized experiences or maintain meaningful conversations. Businesses and institutions relying on AI—such as customer service platforms, educational services, healthcare providers, or corporate knowledge management systems—find this lack of persistent memory problematic.

What is Partenit: DeepContext?

Partenit: DeepContext AI is a unique B2B memory system for AI applications. Unlike typical databases, Partenit doesn’t just store information—it understands and organizes it logically, mirroring how humans structure and recall knowledge. It uses an advanced, ontology-based approach, which means it organizes data into concepts and meaningful relationships rather than just isolated pieces of information.

How It Works (Without the Tech Jargon)

Imagine your AI system as someone who can remember every interaction, fact, and conversation it has ever encountered. Partenit equips AI with multiple layers of memory:

Short-Term Memory remembers immediate interactions, ensuring current conversations remain relevant and coherent.
Long-term Memory keeps historical interactions accessible, enabling meaningful personalization over weeks, months, or years.
Global Memory provides AI access to standardized company knowledge or resources shared across multiple users or systems.

This structured memory helps AI not only recall direct interactions but also understand deeper connections. For instance, when a customer mentions a specific issue, our system helps the AI recall related problems, solutions, or topics without losing the original context.

Benefits Across Industries

Our solution addresses needs across diverse industries:

Education: Teachers gain tools that remember student interactions and personalize learning paths, dramatically reducing routine tasks.
Healthcare: Doctors and healthcare providers gain accurate, contextually relevant patient histories instantly, improving diagnostic and care quality.
Customer Service: AI-powered chatbots retain detailed interaction histories, improving response quality and customer satisfaction.
Government and Public Services: Efficiently manage and retrieve large volumes of structured public data, ensuring compliance and transparency.

Data Security and Trust

Partenit prioritizes privacy and security. We anonymize all sensitive data and provide flexible deployment options—including cloud-based services and secure on-premises installations—ensuring full compliance with regulations such as GDPR and industry-specific standards.

What Sets Us Apart

Compared to competitors who typically store data in less structured forms, our ontology-based system understands the context and meaning of stored data, offering greater precision and deeper insights. This allows businesses to ask more complex questions and get accurate answers without additional effort.

Who Benefits the Most?

Organizations needing structured, secure, and deep data insights benefit immensely from our approach:

Educational institutions seeking to personalize learning experiences.
Healthcare providers requiring comprehensive, secure patient data management.
Businesses aiming for enhanced customer relationships and personalized interactions.

Security and Transparency

We take security seriously. Our memory system is available both as a secure cloud solution and an on-premises deployment for maximum compliance with GDPR and other regulations. Additionally, we offer explainable AI features, giving users transparency and control over AI decisions.

The Future is Structured

At Partenit, we believe the future of AI isn’t just in smarter models—it’s in smarter memory. By structuring AI knowledge in meaningful, understandable ways, we help businesses unlock genuine value from their data, creating AI experiences that feel personal, reliable, and, above all, human.

Ready to see it in action? Reach out—we’re eager to show you how structured memory can transform your AI.

Left: Response from powerful (and costly) GPT model. Right: Response from a simple ontology query. Same accuracy, dramatically lower costs.

• Cost-Efficient Performance Even simple queries to a well-structured ontology can produce results comparable to those of powerful (and expensive) large language models—saving substantial computing resources and token costs.

• Precision and Reliability Ontology-based retrieval ensures highly accurate and dependable results, essential in sensitive domains like healthcare, finance, or legal services, where precision is critical.

• Transparency and Explainability Answers retrieved directly from an ontology are fully transparent and auditable, unlike probabilistic outputs from large language models. This ensures trust, regulatory compliance, and explainability.

• Ease of Integration Ontological memory is easier and faster to integrate into existing systems compared to complex interactions with large AI models, making it ideal for organizations aiming for rapid deployment without extensive resources.