Generative AI integration services
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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.

Drive innovation with generative  AI services

Go beyond with generative AI integration services

AI chatbots & intelligent virtual assistants (IVAs)

Implement personalized user support techniques based on simulating human conversations.

OpenAI integration services

Automate and streamline business processes by integrating with OpenAI APIs and its NLP capabilities.

Whisper integration services

Enable speech recognition in multiple languages for your apps and projects with OpenAI's ASR system.

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 advisory 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 adopt generative AI solutions

Why opt for DigitalSuits’ generative AI integration services

01

Secure implementation process

We guarantee data safety since we strictly follow security standards in our integration processes.

02

Proven expertise

Our specialists have in-depth knowledge of generative AI operation and hands-on experience in projects from various industries.

03

Comprehensive tech stack

We leverage robust models, frameworks, and best programming practices to create outstanding solutions.

04

Cost efficiency

Our generative AI integration company strategically spends resources to implement high-quality solutions that bring impactful results.

05

Transparent workflows

You’re always up to date with the current implementation progress that’s strictly aligned with the project timelines.

06

Customized solutions

Our team implements solutions that are tailored to your business needs, requirements, and expectations.

Which generative AI models we implement

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

Industry-specific generative AI use cases

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.

How leading companies actually use generative AI

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. card image

Dedicated development team

Entrust your project to the GenAI professionals fully dedicated to your business needs. card image

Outstaffing

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

Time and material

Implement top-notch GenAI solutions with flexible hourly rates for generative AI developers’ involvement.card image

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

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.

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.

Send us a request using this form, and we’ll contact you for an interview and project evaluation.

Hear from our clients

Check our cases

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What happens next?

  1. Our sales manager will get in touch with you to discuss your business idea in details within 1 day
  2. We will analyse your requirements, prepare project estimation, approximate timeline and propose what we can offer to meet your needs
  3. Now, if you are ready to turn your idea into action, we will sign a contract that is complying with your local laws & see how your idea becomes a real product