Our Generative AI Development Solutions
Unlock the Power of Generative AI for Your Business. At Inceptive Technologies, we help organizations harness the full potential of Generative AI to boost productivity, enhance creativity, and drive exponential growth. Our expert team integrates cutting-edge AI solutions tailored to your needs—automating content creation, predicting market trends, and personalizing customer experiences.
AI is the future let’s build it together. Partner with us to stay ahead of the competition and redefine innovation in your industry.

We don’t need to write once again about the upcoming disruption in the world with Generative AI solutions. Enough has been written about ChatGPT and the potential of Large Language Models(LLM’s).
At Inceptive, we are building POC’s across industries using LLM’s and fine-tuning them with data for multiple use cases. These POC’s are primarily based on Natural Language Processing(NLP) tasks such as Q&A, chatbots, agents, using text, audio & video as enablers to build robust solutions rather than being just multi-dimensional datasets.
Our Generative AI Services
Chatbot Development
We develop chatbot applications using OpenAI and similar Large Language Models, fine-tuned to your specific use case. Data privacy and security is core when internal data is passed for training to the model.
Q & A App
We develop Q & A applications that can quickly help solve your user’s questions easily using structured and unstructured data to learn for the model.
Content Creation
Content creation integration is becoming a defacto in every app, where AI is able to generate content based on single-shot or multi-shot use cases. The most common feature implementation after chatbots.
Greenfield AI implementation
End-to-end Gen AI implementation using foundation models on your specific use case, training, validation & testing of datasets for quality, ensuring cost and processing power balance.
…and what else? We are discovering new use cases every day across industries!
We are enabling these disrupters using Vertex AI by Google, OpenAI’s API, Azure OpenAI service, Fast.ai, and HuggingFace on pre-trained foundational models such as GPT-4, Dall-E, and BERT.
These cloud-based services are a great start to start your business Applied Intelligence journey using Generative AI without the high entry barrier of traditional Machine Learning models as these models are pre-trained, reducing computation and energy costs and carbon footprint.

As a starting point, we encourage businesses to identify the low-hanging fruits in their organizations which can benefit from pre-trained model’s or fine-tuned models and where a large existing dataset is available.
As with the tech side of things, the implications of using AI as a tool for the end-user have to be factored in with appropriate training and resistance to change.
AI Tech We Love

Generative AI Services For
Banking
Leverage Generative AI to create personalized financial insights, fraud detection, credit risk assessment, and customer support. Enhance user experience with real-time analytics and intelligent recommendations for financial growth.
Insurance
Utilize Generative AI for accurate risk assessment, claims processing, personalized policy recommendations, fraud detection, and customer service automation. Improve efficiency, reduce costs, and deliver tailored coverage solutions.
Retail
Enhance inventory management with demand forecasting, personalized product recommendations, pricing optimization, and customer sentiment analysis. Drive sales, improve customer experience, and streamline operations using AI-powered insights.
Health
Empower diagnosis with medical image analysis, personalized treatment plans, drug discovery support, patient risk prediction, and health behavior modeling. Transform healthcare delivery with advanced AI-driven insights and innovations.”
Software & Platforms
Optimize code generation, bug detection, performance tuning, user behavior analysis, and customer support automation. Empower developers with AI-powered tools for enhanced software development and user experience.
Manufacturing
Enhance production processes with predictive maintenance, quality control, supply chain optimization, anomaly detection, and product design simulation. Drive efficiency, reduce downtime, and boost productivity with AI-powered insights.
Key Factors For Embracing Generative AI
Real-World Benefits of Tailored Generative AI Solutions
Boosted Productivity
Allow for the mass integration of repetitive tasks and processes so as to ensure that resources and items are ready for the harder tasks that are yet to come.
Improved Customer Engagement
Support clients using AI interaction management and recommend products that meet the particular requirements of the client.
Lowering of Costs
Revamp business processes so as to reduce the costs associated with manual tasks and human errors.
Inter-Organizational Decision Making
Take into consideration factors that provide realistic information and make great plans for the business out of these factors.
Creation of New Opportunities
Launch new goods and services that original ideas can make due to the productive capabilities generated by AI
Large Language Models: Our Proven System Building Process
At Inceptive Technologies, we focus on building custom language models and processes that are tailored to your business needs. We make sure our solutions are effective, easy to implement, and fit smoothly into your existing systems. Our goal is to deliver clear, measurable results that improve your operations and help your business grow.
- Analysis of the Requirements: This stage comprises the most promising use cases of generative AI within the organization from which focus can be directed. The process integrates beginning in-depth consultations to fully relate with the business goals, challenges and outcomes being sought after.
- Model Selection and Training: Reinforced with experience, we are able to determine the appropriate model architecture that suits your requirements, with ease. With the application of algorithms, we can develop a strategy to train the model to perform at maximum efficiency during intricate tasks without breaking a sweat.
- Integration and Deployment: The team thoroughly tests the new model to ensure it works smoothly with your current workflows. This process helps avoid any issues and ensures that the new model is fully compatible, making everything run as efficiently as possible.
- Performance Monitoring and Optimization: To ensure consistency in quality, we track the AI’s performance against set benchmarks and set metrics. We modify the model using real operational data while factoring in constantly shifting business requirements to best suit our needs.
Generative AI Models We Use
We use a diverse range of cutting-edge AI models to deliver the best generative AI solutions tailored to specific business needs. Our active engagement with the latest AI technologies allows us to provide our clients with a holistic solution to their ideas, leading to real-world results and long-term growth.
OpenAI GPT Family
These models are ideal for content generation, translation and conversational applications as they add interactive natural language features to your organization.
BERT
BERT helps your business develop contextual insights and thus is suited for natural language processing and search optimization tasks as well as sentiment evaluation.
Stable Diffusion
This model is perfect for creative industries as it facilitates creative processes such as generative design, image synthesis and visualization.
T5 and XLNet
These advanced models are well suited for tasks that use sequenced-to-sequence models, engage in predictive analytics, and then generate probable high accuracy rates for a range of tasks.
Proprietary Models
Our team brings innovations to businesses through the inception of AI models that help address their challenges and offers only business-applicable solutions that address specific business requirements.
Other Generative AI Services
We offer a wide array of AI services, including generative AI development, focusing on solving various business problems. As an AI development company, we take the time to understand our clients’ business needs and have developed a holistic strategy to ensure that AI applications are implemented with the goal of helping businesses thrive.
- Machine Learning Solutions: Model the data and implement the predictive models and forecasting processes while enabling your business to make accurate outcomes based on facts.
- Computer Vision Applications: Simplify and automate complex visually dependent tasks including image classification, detection of objects and even facial recognition in healthcare, retail, security and others.
- Chatbot development: Smart application development of conversational agents about customer interaction and solving questions through supporting users’ around-the-clock engagement.
- AI-Powered Analytics: Apply real-time data analysis, profiling pattern recognition and provide insights useful for making decisions with the use of technology.
- Custom AI Platforms: Design platform-based scalable AI solutions that are solely made for the purpose of serving the business to build strength and consistency against competition.
We Have Expertise In Various Generative AI Models
A rich global experience and a crew of highly skilled AI specialists have allowed us to accumulate vast knowledge of the different models of AI and their applications across various industries. Some of our key focus areas include AI development services, which encompass designing, deploying, and optimizing tailored AI solutions to meet diverse business needs.
- Generative Models for Large-Scale Applications: Our expertise in generative models will ensure that you are at the forefront of your industry by providing unlimited innovative options such as automating content generation or creating account design.
- Predictive Analytic Models: Make use of actionable insights to be able to successfully predict key indicators, enhance business activity, and promote efficient decision-making.
- Enhanced Recommendation Engines: Allow AI-powered recommendation systems that respond spontaneously to client needs to improve customer experience.
- Deep Learning Frameworks: Employ cutting-edge deep learning frameworks for image/speech recognition, video analysis, and more, resulting in effective outcomes in a variety of technology sectors.
Our Generative AI Development Tech Stack
Our diverse and innovative technology stack allows us to offer secure generative AI solutions that are scalable and perform well. The following are some of the elements of our tech stack
Frameworks
We build and train robust AI models using frameworks such as TensorFlow, Pytorch, and Hugging Face Transformers.
Languages
Employing Python languages, R, as well as Julia, all the members on the team code with high efficiency while preparing and extending the required AI models.
Cloud Platforms
Our expertise in AWS, Google Cloud, and Microsoft Azure empowers us to offer reliable and scalable cloud-based AI solutions.
Data Tools
Working with extensive data sets rapidly and accurately is made possible by the use of tools such as Apache Spark, Hadoop, and Snowflake.
Visualization Tools
Matplotlib, Power BI, as well as Tableau, are utilized to generate visual reports that provide actionable recommendations in an easy to comprehend manner.
Generative AI Use Cases
Generative AI helps businesses by creating diverse and innovative content and improving processes across various industries. As part of our AI application development services, we focus on practical use cases where generative AI has a big impact, such as healthcare, retail, education, and finance, helping businesses boost creativity, efficiency, and growth.
- Content Generation: Varying excellent blogs, social media and marketing campaigns will be drafted sans the need for hiring an expert, thereby eliminating the required time and effort needed to ensure quality.
- Customer Support: Set up chatbots citywide, which in assistance to customer support will help provide immediate simple answers to complex questions ensuring customer satisfaction.
- Healthcare: AI models can be utilized in drug development, evaluation of medical images as well as diagnosing patients thereby increasing the efficacy of medical research and solving issues around personalized healthcare.
- Retail: Personalize customer experience with maid shopping suggestions, increase pricing for certain items, and manage stock in order to satisfy customer needs with the help of artificial intelligence.
- Manufacturing: Make use of AI-powered supply chain management and maintenance as well as automation of processes to minimize expenditure and maximize efficiency and productivity.
- Education: Develop AI curriculum materials and establish responsive learning systems that would adjust according to students’ learning tendencies which would in turn change how knowledge is shared.
Let’s talk – we would love to hear your use case
FAQ
Generative AI is a type of artificial intelligence that focuses on creating new and original data rather than just recognizing patterns in existing data. It uses algorithms, particularly generative models, to produce new content that resembles the training data it has been exposed to. This can be applied to various tasks like generating realistic images, creating music, writing text, and even generating realistic human-like conversations. Generative AI is a powerful tool with applications in creative fields, content generation, and data augmentation for training other AI models. However, it also raises ethical concerns, as it can be misused to create fake content or spread disinformation.
Find problems which are low hanging fruits. Concepts like, creating new content, summarising data, labelling data, sentiment analysis, chatbots, etc. are easy to understand by business users and for acceptance. Once you have implemented a proof of concept, you can dive deeper into solving more complex problems.
Costs are not prohibitive if you compare to the business acceleration you will get. Most of the solutions are hosted with Microsoft, Google, OpenAI, HuggingFace, etc. You might incur costs in training foundation models, but most use cases are covered, so you will need to only fine-tune models, where costs are low.
A typical proof of concept should take a month once the objectives and Key Performance Indicators are established.
Your data is safe and private and is not used by the model to train itself back. Any fine-tuned model with proprietary dataset belonging to you and confidential is not used back by model creators. For eg, OpenAI has mentioned this very clearly at https://openai.com/policies/api-data-usage-policies. While selecting any model, it is essential to review the model’s data usage policy.
Yes, one of the primary use cases of Generative AI is to fine-tune the Large Language Models on your private data which you can then query for anything.