Generative AI Consulting Services for Small to Large Enterprises

At ThirdEye Data, we provide expert generative AI consulting services that enable enterprises of all sizes to use the capabilities of generative AI technologies for their specific business needs. 

Over the years, we have partnered with global leaders like Microsoft to develop generative AI applications tailored to various business use cases. In addition to our hands-on experience in building and deploying generative AI solutions, we specialize in integrating these technologies with other trending AI solutions, such as computer vision, predictive analytics, machine learning, NLP, and reinforcement learning, to create more powerful, effective, and ROI-driven solutions.

What to Expect from Us as a Generative AI Consulting Company

As a trusted generative AI consulting company, we offer a range of services, including consultation, application development, and integration into existing operational systems. Our experts have worked with multiple generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), transformer-based models, diffusion models, Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM).  

Our goal is not only to implement the most advanced technologies, but also to deliver cost-effective solutions that seamlessly integrate with the existing business processes.

Key Components of Our Generative AI Consulting Services

Generative AI Development

Enterprises can hire our generative AI engineers to develop or scale up their GenAI applications. Our consultants offer the strategic guidance and technical know-how needed to develop a generative AI solution.

Use Case Identification and Feasibility Assessment

As per reports, around 71% of enterprises are yet to select the area of implementation for generative AI technologies. Our consultants help organizations to identify the most impactful use cases and conduct feasibility assessments to provide insights on business value and implementation challenges.

Generative AI Tools & Technology Selection

With a wide array of generative AI models, tools, and technologies available in the market, it is very confusing for the enterprises to select the perfect option. We assess the need, costing, evaluate the capabilities of the tools & technologies, and help enterprises select the most suitable option.

Custom Large Language Model (LLM) Development

Pre-built LLMs are designed for general-purpose and often lack the precision required for niche use cases. We offer custom LLM development solutions, such as custom Copilot development or ChatGPT development, to train the models on proprietary or specialized datasets, fine-tune to increase accuracy rate, and implement data security compliance to make the LLMs suitable for specific business use cases.

Generative AI Integration

Our team is specialized in integrating generative AI technologies into existing business processes. This helps enterprises to leverage generative AI capabilities without disrupting the ongoing operations and in a cost-effective way.

Data Engineering and Model Training

According to reports, around 78% of global companies are not “very ready” to support the deployment of generative AI, primarily due to weak data strategies. We address that issue by using data engineering expertise, preparing datasets for model training, ensuring that the generative AI solutions are built on solid data foundations.

Compliance and Security Consultation

We ensure that the generative AI solutions comply with the highest standards of security and regulatory requirements, including GDPR, CCPA, and HIPAA, protecting your data integrity and customer trust.

Maintenance and Support

Post-deployment, we provide ongoing support, ensuring that your generative AI solutions continue to perform at peak efficiency and adapt to evolving business needs.

We Develop Industry-Based Generative AI Solutions

ThirdEye Data’s generative AI solutions cater to a wide range of industries, enabling businesses to harness the capabilities of AI generative AI technologies for their specific business use cases. 

Generative AI in Healthcare

We develop GenAI-powered solutions to improve diagnostic accuracy, enhance patient care, and streamline healthcare operations. Our generative AI solutions for healthcare include AI agents and computer vision applications for medical consultations, personalized treatment plans, medical reports analysis, and predictive models for patient outcomes. 

Generative AI in Manufacturing

In manufacturing, our solutions use generative AI tools for predictive maintenance, quality control, supply chain optimization, and process automation. We develop GenAI solutions for manufacturers by combining our experience on generative AI technologies, computer vision, machine learning, and NLP technologies. 

Generative AI for Finance and Banking

We help banks and financial institutions create GenAI solutions for personalized financial advice, fraud detection, document analysis, and security compliance. Our GenAI-based product, Optira is a game changer in BFSI industry for financial document analysis. 

Generative AI for Insurance

We assist insurance companies in leveraging generative AI technologies for real-world use cases; like underwriting processes automation, claims management, and risk assessments. Our generative AI solutions deliver measurable results, such as reducing operational costs, faster claims processing, automated customer support, and improved data security systems. 

Generative AI in HR & Recruitment

We have seen a huge prospect for generative AI applications in the HR & Recruitment industry. Our generative AI experts develop applications to automate repetitive manual tasks like resume screening, resume formatting, interview scheduling, induction process, and employee training programs. 

Generative AI in Supply Chain

By leveraging generative AI, we help businesses optimize supply chain operations. We help enterprises leverage GenAI technologies for use cases, such as demand forecasting, faster route selection, traffic updates, and data-driven decision-making through predictive analytics.

Our Generative AI Project References

In the last couple of years, we have successfully delivered 50+ generative AI projects across various industries. Some of our notable projects include:

Generative AI-powered Document Analytics Platform for an Audit Firm

Developing a Generative AI-based document analytics platform to extract pertinent entities from a variety of file formats, such as .pdf, .xls, and .doc, originating from multiple sources.

Generative AI-powered Travel Planning Platform

Developed a Generative AI-powered travel planning platform as MVP for busy professionals seeking well-curated itineraries.

AI Floor Generation, 3D Modeling and Interior Design Software

A design firm aimed to develop an AI-powered interior design software to automate and streamline the design process. We developed a compact software powered by the latest Generative AI technologies.

Why Choose ThirdEye as Your Generative AI Consulting Company?

In an era where low-code/no-code platforms are enabling citizen developers to create AI solutions, companies like ours offering consulting services remain relevant and play a crucial role. 

When it comes to generative AI consulting, we help enterprises identify the most relevant use cases, select the right GenAI tools and technologies, prepare data for AI models, integrate solutions into existing systems, fine-tune pre-built LLMs, and maintain the system for optimal results. 

Expertise Across Generative AI Technologies: We have practical experience in using generative AI models, including GANs, VAEs, RNNs, and transformer-based models like GPT-4 and Llama. 

End-to-End Consulting: From strategy and development to deployment, we take care of everything with our generative AI consulting services. 

Tailored Solutions for Every Industry: As we have worked closely with companies like Microsost, our generative AI experts have deep knowledge to develop industry specific GenAI solutions. 

Cost Effective GenAI Development: We prioritize business needs over project budget. Therefore, we focus on building solutions which are not delivering the desired results but are also cost-effective.

Talk to Our Generative AI Consultants

Answering Some Common Business Asks on Generative AI Consulting Services

What’s the best use case to start with Generative AI?

The best starting point is identifying the process or area of implementation where generative AI can deliver immediate business value. The use case depends on the industry. But use cases such as customer service automation, personalized marketing campaigns, document analysis, repetitive manual tasks automation, and content generation are quick wins.

Do we need proof of concept or PoC?

Yes, but we recommend a strategic approach. Instead of starting with abstract prototypes, we focus on practical pilot implementations. We can leverage pre-trained models suitable for the specific use case and fine-tuning them with your proprietary data, to develop a PoC before full-scale deployment.

What are the risks associated with generative AI?

Enterprises are finding data security as primary risk with generative AI solutions. We take “trust-by-design" approach to mitigate risks. Our generative AI experts embed robust data governance, transparency, and security measures into every GenAI deployment. We also do regular audits and monitoring to ensure consistent performance and adherence to regulations.

How do we ensure data privacy and security with generative AI?

ThirdEye Data prioritizes data security by implementing robust encryption, access controls, and compliance with regulations like GDPR and CCPA. We recommend on-premises or private cloud deployments for sensitive data to maintain full control and privacy.

Do we need to hire more AI talent along with generative AI consulting services?

With ThirdEye Data as your generative AI consulting partner, you may not need to hire additional AI talent immediately. You can hire and deploy our GenAI experts for technical consultation, application development, and deployment services. With a flexible engagement model, we reduce your costs and dependency on in-house expertise. Additionally, we can help upskill and train your existing workforce to maintain and optimize the newly built GenAI systems.

Which generative AI model should we use?

Choosing the right model is particularly important in terms of success, and budget. It depends on the specific business needs. Our generative AI consultants help enterprises to select the right model as per the use case, whether it’s OpenAI’s GPT models, Google’s PaLM, or custom-built models.

How should we organize generative AI implementation?

Successful generative AI implementation requires leadership and cross-functional collaboration. We recommend appointing a senior technical executive to oversee AI initiatives. ThirdEye Data supports this structure by providing a dedicated team of experts who work with your leadership to seamlessly integrate generative AI into your existing operational systems.

Do we have the necessary capabilities for generative AI?

This is a million-dollar question. There are primarily three capabilities that enterprises need to ensure - clean data, scalable infrastructure, and project alignment with business goals. At ThirdEye Data, we conduct a comprehensive assessment of your readiness and identifies any gaps. We take care of everything, from data engineering to infrastructure optimization.

How will generative AI integrate into existing workflows?

Most of the generative AI platforms offer APIs to integrate them with the existing systems like CRMs, ERPs or ATS. At ThirdEye Data, we help enterprises to identify integration points within the workflows. If required, we develop custom APIs or connectors to seamlessly embed generative AI. We also ensure that the GenAI integration process complies with regulations and data security best practices.

What financial investment is required for generative AI?

The cost of generative AI development depends on the complexity of the use case and the infrastructure needed. ThirdEye Data provides transparent pricing models and ROI projections to help you make informed investment decisions. We prefer to leverage pre-trained models and cloud infrastructure to reduce costs.

What is the role of data in generative AI?

Just like the other AI solutions, data is the backbone of generative AI. We ensure that your datasets are clean, structured, and enriched for optimal results. We assist in data cleansing, data annotations, and setting up data pipelines to continuously feed quality data into the systems.

In what practical scenarios can generative AI be applied?

As we know, Generative AI is a kind of artificial intelligence that creates new content, data, or solutions by learning patterns from existing information. Generative AI can produce original outputs in the form of text, images, audio, video, and code.

So, whenever businesses need AI to generate new content or data and communicate with the data in a conversational way, they can leverage generative AI models. We can highlight a few practical scenarios where enterprises are using generative AI models:

- Automating the process of writing blogs, articles, social media posts, product descriptions, and ad copies.
- Writing email templates for personalized email marketing campaigns.
- Creating conversational AI or chatbot that can handle customer inquiries, troubleshoot issues, and provide personalized recommendations.
- Extracting structured data from unstructured documents such as invoices, contracts, bank statements, and medical records.
- Summarizing reports and generates insights from large text data sources such as research papers, clinical trial data records, tax documents, agreements, contracts.
- Analyzing manual records and inspection reports for defect detection and anomaly identification.

Can ThirdEye Data assist with our existing AI projects?

Yes, ThirdEye Data can assist with both existing AI projects and new implementations.

For existing AI projects, we can fine-tune models, integrate additional features, and optimize performance. If any business has partial AI systems in place, our experts can seamlessly integrate generative AI capabilities, ensuring interoperability with legacy systems.

In the case of new AI deployments, we help enterprises who are starting their AI journey. We support them with strategy, tools & platform selections, developing custom solutions, and ongoing maintenance support.

Do your generative AI consultants have expertise working with multimodal models?

Yes, we are specialized in developing and deploying multimodal AI models that integrate into diverse data types and are used in various use cases.

We combine computer vision models, NLP, and LLMs for intelligent document processing or quality control. The same can be seen in our GenAI product - Optira.

On the other hand, we combine computer vision and pre-built LLMs to interpret images and respond conversationally. These solutions are used in infrastructure monitoring, medical reports/images analysis, product quality inspection etc.

Our proficiency in platforms and LLMs like Azure OpenAI, Microsoft Power Platform, GPT-4, Claude, Bloom, Codex, PaLM-2, LLaMA-2, and other specialized tools allows us to build robust, multimodal solutions tailored to specific business needs.
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