
Generative AI Integration Services
Keep up with the AI revolution to optimize your workflows and enhance productivity. Partner with professionals to implement generative AI into your business infrastructure.
Drive innovation with generative AI services
Utilize the generative AI potential to win the competition and grow your business. Our team offers expertise in implementing and maintaining AI models across all areas of your business, from customer support to logistics and fraud detection. You can integrate generative AI solutions into your existing or new project to automate routine tasks and much more. Our mission is to make this process hassle-free yet exciting and efficient.

Go beyond with generative AI integration services
AI chatbots & intelligent virtual assistants (IVAs)
Implement personalized user support techniques with AI chatbot development based on simulating human conversations.
OpenAI integration services
Automate and streamline business processes with OpenAI API integration and its NLP capabilities.
Whisper integration services
Enable speech recognition in multiple languages for your apps and projects with OpenAI Whisper integration.
Assembly AI integration services
Leverage Assembly AI models to transcribe and understand speech to extract insights from voice data.
GCP Vertex AI integration services
Scale AI models more efficiently and faster with machine-learning platform capabilities.
Optical character recognition (OCR) integration services
Implement OCR solutions to convert scanned documents into machine-readable text formats.
Document AI language integration services
Enable document processing to transform dark data into insights for better decision-making.
Generative AI consulting
Get strategic insights for game-changing outcomes with professional generative AI consulting services.
Why adopt generative AI solutions
Speed up task completion: Automate time-consuming and repetitive, even complex tasks, focusing on more important work that requires human involvement.
Optimize costs: Save your budget by reallocating resources from AI-enabled areas, building cost-saving strategies, and making low-risk investments.
Get data-driven insights: Organize intelligent manufacturing, inventory, logistics, and marketing by implementing data analysis in all business fields.
Enhance personalization: Adapt to customer preferences and current trends with AI personalization techniques, such as AI-based dynamic pricing.
Boost development efficiency: Speed up development cycles and minimize errors with the latest AI tools and techniques.
Scale your business: Handle increasing workloads and demand without compromising performance and reliability.

Why opt for DigitalSuits’ generative AI integration services
Secure implementation process
We guarantee data safety since we strictly follow security standards in our integration processes.
Proven expertise
Our specialists have in-depth knowledge of generative AI operation and hands-on experience in projects from various industries.
Comprehensive tech stack
We leverage robust models, frameworks, and best programming practices to create outstanding solutions.
Cost efficiency
Our generative AI integration company strategically spends resources to implement high-quality solutions that bring impactful results.
Transparent workflows
You’re always up to date with the current implementation progress that’s strictly aligned with the project timelines.
Customized solutions
Our team implements solutions that are tailored to your business needs, requirements, and expectations.
Which generative AI models we implement

OpenAI

Google AI

Claude

Mistral AI

Assembly AI
In which areas our generative AI experts excel
Generative AI models
We integrate generative AI models that suit your business requirements and goals. For example, you can hire us to integrate a GAI model to explain and summarize complex statistics to understand your data faster.
Large Language Models (LLMs)
We utilize LLMs, such as OpenAI’s GPT, for text generation, translation, and product recommendations, as well as for implementing chatbots and running autocomplete tasks.
Natural Language Processing
Our team leverages NLP applications for tasks such as speech recognition in any required field. For instance, you can leverage NLP to interpret customer queries and offer automated customer support.
Model fine-tuning
We adapt pre-trained models for specific tasks and datasets and optimize their performance for these tasks. It’s done with hyperparameter tuning and regular evaluation for correct adjustments.
Tech stack for our generative AI developers
Networks
RNNs
CNNs
GANs
VAEs
Transformers
ML/DL frameworks
Keras
TensorFlow
PyTorch
OpenAI Gym
Theano
MXNet
Programming languages
Python
Node.js
R
C++
Libraries
LLamaIndex
LLamaParse
LangChain
HF Transformers
Gradio
Streamlit
Algorithms
Knowledge Distillation
Prompt Engineering
RAG (Retrieval Augmented Generation)
Metric Learning
Zero-shot Learning
One-shot Learning
Few-shot Learning
Embedding models
OpenAI
Cohere Embed
BERT
RoBERTa
FastText
Word2Vec
bge-large
t5-large
Industry-specific generative AI use cases
Retail: dynamic pricing, inventory management, demand forecasting, delivery routes optimization, intelligent assistants and chatbots
Healthcare: medical image analysis, drug discovery, personalized treatment, virtual simulations for medical training, predictive analysis
Finance and insurance: automated data entry, fraud detection, risk analysis, automated credit scoring, chatbots for customer support
Media and entertainment: content generation, targeted advertising, virtual assistants, video editing, content personalization
Manufacturing: product prototyping, waste control, automated quality control, predictive maintenance, process planning and optimization
Software development: automated code generation, framework evaluation, resource optimization, intelligent testing
Recruitment: business process automation for recruiters, resource optimization

How leading companies actually use generative AI
Shopify offers GenAi solutions, like personalized product recommendations, to the platform users.
Mastercard uses GenAI to quickly answer users' queries and accelerate card fraud detection.
Morgan Stanley leverages AI to streamline market research and offer in-depth financial advisory.
Amazon provides a genAI tool for sellers to craft product listings and use AI for review summaries.
Klarna integrated ready-made AI tools to analyze documents and get quick industry-related answers.
Salesforce created its Einstein GPT to generate content and code, analyze customer data, and more.
Adobe creates its GenAI models, such as Adobe Firefly, for image generation, picture editing, and more.

Ways to cooperate with our generative AI integration company

Consulting services
Get expert guidance regarding the suitable GenAI tech stack and the best areas and approaches for implementing AI in your project.

Dedicated development team
Entrust your project to the GenAI professionals fully dedicated to your business needs.

Outstaffing
Hire AI specialists to augment your team without the hassle of staffing and onboarding – we’ll find the best fit for you.

Time and material
Implement top-notch GenAI solutions with flexible hourly rates for generative AI developers’ involvement.
Main steps of generative AI integration
Requirement assessment
Our generative AI integration company evaluates your requirements and offers implementation workflow and timelines.

Model selection and data integration
Our specialists choose a model that best suits your project and prepare your data for integration.

Testing and fine-tuning
We customize the selected model in line with your needs and ensure its compatibility with your workflow.

Integration
We integrate the GenAI solution into your existing system and ensure its high performance and seamless operation.

Maintenance
We continue to maintain the model, update it, and eliminate any arising issues.

Looking for other services?
Frequently asked questions
How much does it cost to implement a generative AI solution?
The cost of a GenAI implementation for a small or medium-scale project starts from $10,000. The final cost depends on your requirements and project timelines. Contact us for an individual estimate.
How long does it take to complete a generative AI integration?
Timelines depend on the project's complexity. For example, the data collection and validation process, GenAI model integration and testing for a simple project can take from two weeks. Contact us to estimate your project timelines based on its initial requirements.
How can I get started with your generative AI services?
Send us a request using this form, and we’ll contact you for an interview and project evaluation.