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Generative AI Development Services

Let loose the full potential of Generative AI with our full-spectrum development services designed to bring intelligence and automation into your business processes. Our experts at Hashtrust design and deploy advanced AI systems, from autonomous agents to sophisticated multi-agent frameworks, with seamless integration into your workflows.

Custom AI Agents and LLM Agents Development

We are experts in developing AI agents empowered by state-of-the-art Large Language Models (LLMs). These agents are capable of autonomous decision-making and interaction with external systems, making them invaluable for handling complex and diverse tasks. Whether you need one intelligent agent or a network of multi-agent systems, we provide robust, scalable, and goal-directed solutions.

Autonomous Agents with LLMs

We utilize the power of LLMs to create AI agents that can autonomously execute a range of tasks. These smart agents are empowered with tools and decision-making capabilities that adapt to your unique workflows, ensuring efficiency and precision in task execution.

Mobile Development Service

Key Features of Our Autonomous Agents

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Integration of tools and APIs for seamless external interactions.

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Decision-making capabilities tailored to your business requirements.

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Continuous learning and adaptation to improve over time.

Our Generative AI Development Approach

Suitable Selection of LLM Architecture

Suitable Selection of LLM Architecture

We select the most suitable LLM architecture for you, based on performance versus scalability.

Fine-Tuning Models

Fine-Tuning Models

We fine-tune pre-trained models so that they can perform the tasks better and more effectively.

Multi-Agent Systems

Multi-Agent Systems

We implement multi-agent frameworks where specialized agents cooperate with each other to solve the complex problem. For example, we can divide a set of tasks such as research, data retrieval, and technical support into different agents and complete them with optimal performance.

What This Process Involves

What This Process Involves

Designing algorithms, rules, and workflows to guide effective agent interactions.

Custom RAG Applications

The retrieval-augmented generation applications are a hybrid generative AI with real-time information retrieval. Our custom solutions for RAG enable AI systems to generate contextually accurate responses while retrieving up-to-date information from diverse sources such as databases, knowledge bases, or APIs.

Natural Language Responses

Natural Language Responses

Generate human-like responses with context awareness

Real-time Data Access

Real-time Data Access

Connect to live data sources for up-to-date information

Customer Support

Customer Support

Automated support with human-like understanding

High Performance

High Performance

Optimized for speed and accuracy in responses

Development Process

Response Generation and Ranking

Using LLMs to generate responses and rank retrieved information for relevance.

Iterative Refinement

Mechanisms for iterative improvement in the quality of responses and system accuracy.

Our RAG applications are designed to bridge the gap between generative AI capabilities and real-world data needs while ensuring reliability and relevance in every interaction.

Generative AI PoC and MVP Development

We appreciate the need for validation of AI solutions before full-scale implementation. Our services encompass developing Proof of Concept, Proof of Value, and Minimum Viable Product that helps you evaluate the feasibility, business value, and integration potential of AI within your operations.

Development of Proof of Concept (PoC) / Proof of Value (PoV)

When an AI solution is proven using PoC, a PoV proceeds one step further by raising the question,Does this solution benefit my business? In the PoV phase, we develop the interactive version of the system that generates AI according to your specific operational needs.

Dev Highlights of PoC and PoV

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Building an AI system that handles a single critical process to demonstrate its technical viability.

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Evaluating process efficiency, user interaction, and communication styles to ensure alignment with your business goals.

MVP Development

After PoC/PoV has been validated, both technically and in business value, we go ahead and develop a Minimum Viable Product. This version comprises the basic functionalities that help you meet your immediate goals and is also an opportunity to test the AI system in real-world scenarios.

Important Elements of MVP Development

Identifying and prioritizing the most critical features.

Delivering a functional, initial version of the AI system that focuses on achieving your primary business goals.

Gathering feedback to refine and enhance the system for future iterations.

Generative AI Development FAQs

At Hashtrust, we combine deep technical expertise with a deep understanding of business requirements to deliver the difference that AI can bring. From autonomous agents and multi-agent systems to RAG applications and MVP development, we ensure that each solution is designed to your specific needs, driving efficiency and innovation in your operations.

We focus on understanding your unique needs, selecting the right architecture, and building scalable AI solutions.

Generative AI creates content, solutions, or responses based on data inputs. It can automate tasks, enhance customer support, and optimize workflows.

Generative AI can be applied across industries like healthcare, finance, e-commerce, customer service, and more.

They combine generative AI capabilities with real-time data retrieval to deliver precise and updated results.