In today's world, where technology is increasingly over-whelming and change is crucial for businesses, the market for Generative AI is experiencing sub- stantial growth. According to Statista, the market size for Generative AI is projected to reach $62.72 billion by 2025, and it is expected to soar to $356.10 billion by 2030, registering a CAGR of 41.53 percent. Recently, there has been a noticeable shift from proof-of-concept pilots to actual implementation of Generative AI across enterprises. Many organizations are actively experimenting with this technology, which is being applied in various use cases, including text and image processing, content generation, video generation, video analytics, voice analytics, voice AI agents, and document management.

By 2025, there’s an anticipated increase in enterprise wide adoption of Gen AI and across a broader range of applications, beyond just chatbot-style assistants like ChatGPT. QUARKGEN, a full-stack software development company, recognizes it and effectively capitalizes on the opportunities in the market. Powered by Gen AI, the company utilizes responsible & reliable, specialized privately hosted knowledge-based LLMs(Large Language Models) designed to meet the budget and needs of enterprises at any scale. The company focuses on developing two key types of AI agents. The first is specialized Voice Gen AI agents designed to interact with end consumers of large enterprises.

These agents will assist in persuading customers to purchase specific products, guide them through support and post sales journeys, negotiate, facilitate transactions, and offer product recommendations. The second type involves the creation of custom AI agents that are purpose-driven and goal-oriented, forming multi-agent systems that can perform specific tasks. These agents will have the ability to reason, take action, monitor activities, access various tools, and address customer problems effectively.

To enhance conversational experiences, the company has been leveraging top-of-the-line speech tools, including speech-to-text and text-to-speech technologies. QUARKGEN’s private large language model, combined with these speech tools, can generate ultra-realistic, human-like Voice Gen AI agents capable of communicating with customers, convincing them, and assisting in product purchases. This approach enables enterprises to streamline their communication processes with end consumers.

Uniqueness in Scalability & Security
The objective of a CX platform like QUARKGEN is to highlight cultural nuances. It is well-suited for the multicultural and multilingual audiences existing across the diverse demography like India. The company’s platform currently supports more than 12 Indian languages and 25 global languages.

Precisely, what sets the company apart from other CX platforms is its proprietary model, which allows it to custom-tune either a small language model or a large language model based on the specific requirements of an enterprise. Additionally, it can deploy the entire setup on-premises, ensuring data privacy by keeping enterprise data within the network. This focus on data privacy and scalability is crucial.

The company adheres to data protection standards such as ISO 27001 and SOC 2 Type 2, which ensure information security. Furthermore, it is in the process of obtaining PCI DSS compliance, which addresses concerns related to private customer data, specifically Customer Identifiable Information (CII). Also, its APIs are highly encrypted, and it takes comprehensive measures to protect data in motion, in transit, and at rest.

The company specializes in working with the Banking, Financial Services, and Insurance (BFSI) sector. Notably, as financial institutions are extremely stringent about data security, to address these concerns, it develops proprietary large language models that can be deployed entirely on-premises. Hence, the models it creates are exclusive to the company, and it does not rely on closed-source APIs, such as those offered by OpenAI or Gemini, where data privacy could be a significant issue for banks and large enterprises. Its voice AI agents are not only multilingual but also scalable and secure. By deploying its solution on-premises, client’s data remain within their enterprise firewalls and network, effectively alleviating one of the primary challenges in data security.

Responsiveness to Evolving CX Expectations
The company lays special emphasis on continuously learning about customer frustrations and gather insights from customer data. Although it uses a pre-trained large language model, it consistently works to improve its performance through a continuous feedback loop. The more conversations it holds with end customers, whether via voice or chat, the better it is able to fine-tune the model to align with customer preferences. For instance, if the model learns about a new language or dialect, QUARKGEN can apply transfer learning to enhance its capabilities. This allows the company to address instances where the bot previously struggled to understand customer frustrations or responses. As a result, the overall efficiency of the model improves, compared to its earlier performance. By continually refining the voice AI agent, the company ensures that its performance keeps increasing.

Quarkgen’s Apis Are Highly Encrypted, And It Takes Comprehensive Measures To Protect Data In Motion, In Transit, And At Rest

The Change Story
Over the years, the company has made significant progress in conversational AI. Before the introduction of ChatGPT 3.5, most systems relied on rule-based conversational AI and scripted bots. However, the emergence of large language models and architectures like Retrieval-Augmented Generation (RAG) and Advanced Agentic RAG has simplified the deployment of conversational AI agents. In the past, it was necessary to manage separate layers for natural language processing (NLP) and intent recognition. Today, much of that complexity is managed by the large language models themselves.

The future of conversational AI promises increasingly differentiated experiences, not only in voice quality but also in video/voice reproduction. While the company is not currently focusing on video, it recognizes its importance in enhancing customer experiences and may explore it in the future. Akash Kundu, Co-Founder & Head (Strategy) at QUARKGEN states, “We've observed that voice calls through telephony channels are the most scalable option.


When customers encounter issues with a product, their first instinct is often to contact the company's helpline and speak with a customer support executive. This insight shapes our evolution, from text-based communication to Voice AI based interactions. Our goal is to emulate human conversations and develop more action-oriented models capable of handling document processing. While we are already engaged in document processing, we aim to enhance our capabilities to include reasoning about documents and video analytics.”

Growth Pathway
QUARKGEN is committed to continuous innovation to improve its models while ensuring they remain enterprise-friendly. As part of this commitment, the company will maintain its entire technical infrastructure, including data and applications, on-premises to ensure data security and information privacy. Currently, the company is focusing on the India & MENA markets through direct enterprise sales and strategic alliances.

Its platform is designed for multicultural and multilingual audiences, with plans to consolidate large enterprises in India, MENA region as well as target Europe and Asia Pacific in the near future. It has begun to engage end customers with languages such as Hindi, Indian English, US English, Bengali, UK English, French, Spanish, and German, and has refined its model for Emirati Arabic and multiple other prominent Indian languages.

Furthermore, QUARKGEN aims to achieve growth in 2025 either through direct enterprise sales or by partnering with major system integrators. Presently, it is pursuing an enterprise sales strategy and is also in discussions with large enterprises and system integrators to explore potential collaborations on generative AI use cases they are interested in implementing. QUARKGEN's ambitious expansion plans and essential integrations for the future will definitely be accomplished by the recent $10 million seed funding it has received from corporate investors.