Deep AI Lab was founded by a team of ML/AI experts and technology professionals with a combined 30 years of industry experience, driven by a shared vision to develop innovative products that leverage advanced generative AI capabilities.
We constantly strive by adapting the latest advancements on the generative AI technologies to bring the benefits of advacnced artifitial intelligence capabilities to our custmers to ensure your businesses stay ahead of the competition with our powerful, impactful AI systems designed for the future. Our research and development team strives on the latest technological advancements in full specturm of building responsible AI systems, including the advanced data engineering technologies, advancement on the cloud computing for generative AI solutions.
Founded by ML/AI experts, Ph.D scholars in the AI space and experienced technology professionals who have designed and developed next-gen data driven, highly scalable, resilient, cloud-native generative AI products and customized solutions for many industry sectors. We understand and value the importance of the future ready products for enterprises to stay ahead in the competitive world by leveraging state-of-the-art technological advancements rooted by the generative AI, and it helped us to build Deep Q, Deep Workflow Automation and Deep insights next-gen products.
Deep Q delivers a comprehensive, enterprise-grade AI solution designed to meet the needs of organizations seeking a scalable, secure, cost-effective, and reliable AI product for processing large volumes of business documents, enhancing data retrieval capabilities, enabling faster, data-driven decision-making across operations.
Deep Q comes with an efficient document processor and vectorizer, data retriever and evaluator, and intelligent response generator. It provides multiple integration options for seamless document processing, including Cloud Storage (e.g., Amazon S3), SFTP Servers, Database Connectors, REST API, and direct file upload through web console. An intuitive web interface allows authorized users to configure data processing settings including datasource details, chunking strategies and vector stores, setting the foundation for creating a powerful, tailored knowledge bank. It was designed to be able run on private/public clouds and on-prem infrastructure.
Deep Q employs advanced retrieval-augmented-generation(RAG) techniques, various chunking strategies and a fleet of vector stores in addition to the efficient data evauation and filteration mechanism on the retrieved documents before feeding to the generative models.
"Combining intelligent, precise data retrieval with generative AI to streamline the business decision making process efficient and faster"
Deep Workflow Automation is composed of a network of specialized AI agents that interact, collaborate, and make decisions to perform complex tasks with minimal human intervention, making workflows not only faster but also more adaptive and intelligent. Each agent is programmed to understand its responsibilities and can communicate and collaborate with other agents to achieve broader workflow objectives.
Deep Workflow Automation combines the multi-agent systems with the generative AI capabilities to generate nuanced responses and make decisions based on context rather than predefined rules alone. This capability is essential in fields like customer service, where AI agents can assess a customer’s query and generate a personalized response based on previous interactions, sentiment analysis, and available knowledge bases. It was designed to be able run on private/public clouds and on-prem infrastructure.
Deep Workflow Automation was meticulously designed to integrate with existing business systems, such as CRM, ERP, and data warehouses, ensuring seamless data exchange and enabling end-to-end process automation. By tapping into existing enterprise data and resources, agents can access and update records, pull data from various sources, and complete tasks without requiring manual intervention.
"Collaborative AI agents automate complex workflows and solve sophisticated business challenges in real-time."
Deep Insights is capable of analyzing the enterprise data and generating comprehensive meaningful insights for businesses to make better informed decisions. The product is capable of translating the user's natural language query into a sequence of thought processes, and able to retrieve data set based on the thought processes, and generate precise business metrics.
Deep Insights offers advanced generative AI data analytics capabilities by employing advanced RAG and SQL agentic techniques. It comes with a sophisticated web interface that enables the enterprise users to upload the datasets and process, and also offers out-of-the-box database connectors which can be extended to integrate with the enterprise datasources.
Deep Insights comes with intuitive web console enables authorized users execute data analytics queries and verify the results in real-time.
"Combining data analytics and insights with generative AI helps enterprises to make right decisions to stay at the top of the competitve markets"
We undertake the development of tailored AI solutions to meet your business's unique needs, leveraging a range of advanced technologies. From traditional machine learning models for predictive analysis and decision-making to natural language processing (NLP) for interpreting and responding to text-based data, we provide a comprehensive suite of AI capabilities. Our computer vision models excel at image and video recognition, enabling automation and insights in fields like quality control and security. Additionally, we customize large language models (LLMs) to assist with complex, conversational AI tasks. Our expertise ensures seamless integration and performance optimization to support your strategic goals with precision.
Our AI/ML Ops services streamline the deployment, monitoring, and optimization of machine learning models across your business. We ensure efficient model lifecycle management, from initial deployment to scaling in production environments. By implementing robust monitoring, we quickly identify and resolve issues, maintaining peak model performance and accuracy. Our services include automated retraining, data pipeline integration, and infrastructure management tailored to your needs. With expertise in MLOps best practices and advanced tooling, we help transform AI models into operational assets, driving real-time insights, reducing downtime, and maximizing the impact of your AI initiatives.
Our technology consultancy specializes in guiding businesses through every phase of the ML/AI journey, from data engineering to scalable software solutions. We help design and build robust data pipelines, ensuring efficient data collection, processing, and storage for machine learning workflows. Our team crafts scalable, resilient software systems tailored to handle complex AI workloads, with a focus on optimal performance and integration. By combining expertise in data architecture, model selection, and deployment, we empower your organization to harness the full potential of AI. Our end-to-end approach ensures your technology stack aligns seamlessly with your strategic objectives, driving impactful AI outcomes.