Orange County Web and Mobile App Development
What is Generative AI?
Generative AI is a kind of artificial intelligence that can ‘generate’ content, visual graphics, audio, and videos using commands called prompts. It learns from your existing data and then uses it to produce more accurate, higher-quality outputs to mimic natural natural human creativity and style.
How does Generative AI work?
It uses neural networks to learn the pattern and relationship between large amounts of training data to produce original, human-like content. These neural networks are called Generative Adversarial Networks (GANs) or transformers.
What are some common applications of Generative AI?
Some common applications of Generative AI include creating different types of content (articles, code, etc.), hyper-realistic images and graphics, logos, music, audio, and videos.
How can Generative AI benefit my business?
Generative AI is great at automating tasks and understanding patterns. You can use it to save time on laborious tasks, get higher ROI from marketing, increase customer satisfaction, make calculated business decisions, and lower operational expenses.
Which industries benefit the most from Generative AI?
Industries like marketing and advertising (content creation), software development (code generation), entertainment (games, movies), manufacturing (prototyping), and fashion (design) can greatly benefit from Generative AI. Even complex industries like healthcare (drug discovery) and finance (fraud detection) can leverage its capabilities.
What are the top enterprise use cases for Generative AI?
Top enterprise use cases for Generative AI include code generation, personalizing marketing campaigns, enhancing customer support with AI chatbots, fastracking HR functions like resume screening, and accelerating drug discovery in healthcare.
What Generative AI development services do you offer?
Our company offers a wide range of Generative AI services, including:
Do you provide custom AI solutions tailored to my business needs?
Absolutely. Our approach is all about customization. We take the time to understand your business inside and out, then build Generative AI solutions that are as unique as your challenges and goals so they fit with your workflow and deliver tangible value.
Do you offer Generative AI integration services?
Yes. We can integrate Generative AI into your CRMs, apps, and cloud platforms using APIs, custom connectors, and microservices. Whether it’s automating customer support, generating dynamic content, or enhancing workflows, we try to minimize disruptions and maintain your existing operations.
How do you approach domain-specific Generative AI model development?
We begin by gathering domain-specific data and understanding unique requirements. Then we utilize that data to fine tune existing models, or create custom models to accurately reflect the desired output.
We begin by understanding your industry and gathering domain-specific data. Then, our team selects the most suitable Generative AI models (like GPT, Claude, or Gemini) and fine-tunes them using techniques like transfer learning to accurately reflect your desired output.
What types of Generative AI solutions do you develop, and what models do you use?
We develop multiple Generative AI solutions, including text generation (GPT-4o, Claude), image and video creation (DALL-E, Stable Diffusion), and conversational AI (LLaMA, GPT). Our models are fine-tuned to meet your specific needs, whether it’s content creation, design, or customer engagement.
Do you provide post-deployment support and maintenance?
Yes, we offer tiered support packages, including 24/7 monitoring of model performance, scheduled updates to address evolving data patterns, and dedicated support channels for troubleshooting. We also provide model retraining services to maintain accuracy over time.
How does your team approach Generative AI development?
Our process begins with an in-depth discovery phase, including workshops and consultations to define use cases and data requirements. We then employ an agile methodology, with iterative model development, frequent testing, and client feedback loops. We use version control for models, and document all changes for full auditability.
How do you ensure the quality and accuracy of AI-generated outputs?
We put every Gen AI model through rigorous testing, including unit, integration, and user acceptance checks. Our human testers refine outputs and catch errors. Real-time user feedback is also brought in the loop to improve performance iteratively. We use diverse, clean, and representative training data to minimize biases and maintain reliability.
How do you handle model drift and maintain consistent performance over time?
Our team monitors your Gen AI model’s performance 24/7 using real-time metrics and alerts to detect drift. Regular retraining with updated data helps us keep your AI model adaptive, and automated pipelines simplify updates. We also use human oversight for accuracy and factor feedback loops and periodic audits to prevent model drift and maintain consistent performance.
What kind of data do you need from us to get started?
We require well-labeled, representative datasets that reflect your desired output from the Generative AI model. Our team asks each client about data volume, format (text, images, etc.), and any domain-specific nuances. We also need access to any relevant metadata and perform data quality checks for optimal results.
How long does it take to develop and integrate a Generative AI solution?
It can take anywhere between 3 to 12 months for full-cycle Generative AI Development. A simple text generation model might take a few weeks, while a complex predictive analysis system with custom training could take upwards of 9 months.
How much does it cost to develop a custom Generative AI solution?
The cost of developing a custom Generative AI model can vary based on the project’s scope, data volume, model complexity, and integration requirements. A basic text generation solution might range from $20,000 to $50,000, while advanced video generation or data analysis models could cost upwards of $500,000. Our team provides detailed cost breakdowns after a thorough needs assessment.
What makes your company a reliable Generative AI development partner?
Reliability in Generative AI means more than just technology; it’s about trust and understanding. At Ideamaker Agency, we bring over 3+ years of focused AI expertise and a team of 30+ experts that are committed to building reliable, cutting-edge AI solutions that generate practical results for your company.
Why should I choose your AI development company over others?
We believe in long-term partnership and offering custom-made solutions, not just off-the-shelf models. Our rapid prototyping capabilities and dedication towards constant research and development of new techniques makes us different from other AI development companies. Our passionate team of AI specialists work extra hard to understand your long-term and short-term goals, and keep transparent communication throughout the journey.
How long have you been in the AI development industry?
We’ve been in the AI development industry for 3+ years and have been creating bespoke enterprise-level software since 2016. We’ve seen the evolution of machine learning and Generative AI first-hand and have consistently adapted to the latest advancements.
What is your team size and expertise in Generative AI?
Our team has 30+ experts, including data scientists, machine learning engineers, and AI researchers. Each member possesses advanced degrees in computer science and related fields, and holds certifications in leading AI platforms. We have specialist knowledge in natural language processing, computer vision, and deep learning architectures.