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Generative
AI Solutions

Generative artificial intelligence (AI) is a potential game changer for your industry. By leveraging generative AI services and solutions, businesses stay ahead of their competition by fostering innovation, improving efficiency, and delivering personalized customer experiences. Drive better business outcomes on a broad front with AI and DATAFOREST.

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Competitive Advantages with Our Gen AI Services

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Generative AI Consulting from a GenAI Expert

We advise on custom generative AI development services considering the client's specific needs, objectives, and data infrastructure, followed by tailored AI solutions that align with your business goals.
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Gen AI For Business Transformation

Using GenAI for a business like LLM with RAG, Vision, and Diffusion models, we help businesses with Copilots that assist employees, a Q&A company knowledge base, and routine automation through generative AI business solutions.
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Generative AI Development for Product

Using an AI data-driven approach, DATAFOREST—a generative AI development company—designs and develops intelligent web and mobile platforms with exceptional user experience, reliability, and high-level AI accuracy.
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How Can You Benefit from Generative AI Development Solutions

01

AI Copilot

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AI copilot empowers existing business applications by providing intelligent code optimization and automation, which enhances app functionality, reduces the likelihood of errors, and speeds up the development cycle. It also facilitates the seamless integration of new features and technologies, ensuring that applications remain cutting-edge and highly responsive to evolving business needs.
02

Workflow Automation With Generative AI

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After implementing workflow automation with generative AI custom services, businesses experience heightened efficiency as AI streamlines processes, eliminating repetitive tasks and freeing up employees for higher-value work. They also gain enhanced accuracy and faster decision-making, with AI providing real-time data analysis and insights, leading to more informed business strategies and reduced human error.
03

Knowledge Base Creation

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It processes your unstructured resources, including PDFs, internal web pages, and images, transforming them into embeddings to train and function as the enduring memory for the generative AI model. Generative AI for data analytics reduces the time and effort required to compile, update, and maintain accurate and comprehensive information repositories, addressing manual knowledge management.
04

AI Computer Vision

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Generative AI companies reform businesses by enhancing object detection, tracking, and labeling capabilities, enabling precise monitoring and analysis of visual data. It also automates image generation for diverse applications and improves image recognition and detection. Computer Vision facilitates more brilliant operational efficiency and the creation of visually intelligent solutions — a key offering from any top generative AI solution provider.
05

LLM Powered Chatbots

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LLM (Large Language Model) for customer service powers chatbots for instant responses to inquiries, enhancing user engagement, and personalizing the customer experience. Our services harness advanced ML models to develop GenAI solutions that cater to unique requirements. We sift through databases and spreadsheets and use various leading LLM service platforms: ChatGPT, Meta (Llama 2), Bard, Llava, and Mistral — part of our GenAI as a service model.
06

AI Integration

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AI integration connects proprietary systems to generative AI models without requiring in-house AI expertise. They handle complex technical details like model optimization, API management, and security compliance that most companies lack the resources to build themselves. This reduces generative AI solutions development time from months to days while ensuring reliable, enterprise-grade performance without disrupting existing workflows.
07

Virtual Assistants

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Based on your data (either structured or unstructured), AI Assistants provide instant and accurate responses to customer queries, reducing the workload on support teams, improving customer satisfaction, and saving support costs. These virtual assistants are examples of advanced generative AI solutions for business, providing around-the-clock support, improving engagement, and gathering valuable data to inform strategies.
08

PoC and MVP Development

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Proof of Concept and Minimum Viable Product Development aims to rapidly validate AI solutions' technical feasibility and business potential by creating lightweight prototypes that demonstrate core value propositions, reduce investment risks, and provide proof of concept through minimum viable product implementations offered by our generative AI services provider team.
09

AI Agent Development

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We design, build, and deploy autonomous intelligent systems capable of performing complex, multi-step tasks across various domains by leveraging advanced language models, specialized knowledge domains, dynamic reasoning capabilities, and modular architectures that enable adaptive, context-aware problem-solving with minimal human intervention. These services are central to what a generative AI services company offers.
10

End-to-End ML and AI Model Production

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DATAFOREST, as a generative AI solutions company, transforms raw data into production-ready AI solutions by systematically addressing the entire machine learning lifecycle – from data preparation, model training, and optimization to deployment, monitoring, and continuous improvement – enabling organizations to convert advanced AI capabilities into scalable, reliable, and high-performance business-critical systems.
11

Generative AI Consulting

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We lead organizations through AI transformation by providing expert guidance, comprehensive assessment of AI opportunities, tailored generative AI solution design, technology roadmapping, and actionable recommendations, defining us as a generative AI data solutions provider.
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LLM Agent A State-Of-Art Automation (Scheme)

LLM is not only the possibility to chat and get a wide range of information, but it's also the possibility to retrieve your local data from databases, docs, and spreadsheets. With advanced LLM Agents—a core part of generative AI as a service—you can automate your routine processes, streamline client communication, or implement your start-up ideas.
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Discover the power of Generative AI development to drive unparalleled innovation in your industry.

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Our Generative AI Company’s Cases

Reporting & Analysis Automation with AI Chatbots

The client, a water operation system, aimed to automate analysis and reporting for its application users. We developed a cutting-edge AI tool that spots upward and downward trends in water sample results. It’s smart enough to identify worrisome trends and notify users with actionable insights. Plus, it can even auto-generate inspection tasks! This tool seamlessly integrates into the client’s water compliance app, allowing users to easily inquire about water metrics and trends, eliminating the need for manual analysis.
100%

of valid input are processed

<30 sec

insights delivery

Klir AI
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Automating Reporting and Analysis with Intelligent AI Chatbots

Gen AI Hairstyle Try-On Solution

Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
< 30

sec photo delivery

90%

user face similarity

Beauty Match 2
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Gen AI Hairstyle Try-On Solution

Improving Chatbot Builder with AI Agents

A leading chatbot-building solution in Brazil needed to enhance its UI and operational efficiency to stay ahead of the curve. Dataforest significantly improved the usability of the chatbot builder by implementing an intuitive "drag-and-drop" interface, making it accessible to non-technical users. We developed a feature that allows the upload of business-specific data to create chatbots tailored to unique business needs. Additionally, we integrated an AI co-pilot, crafted AI agents, and efficient LLM architecture for various pre-configured bots. As a result, chatbots are easy to create, and they deliver fast, automated, intelligent responses, enhancing customer interactions across platforms like WhatsApp.
32%

client experience improved

43%

boosted speed of the new workflow

Botconversa AI
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Improve chatbot efficiency and usability with AI Agent

Would you like to explore more of our cases?
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Technologies of Artificial Intelligence and Machine Learning

Lama 2 icon
Lama 2
Zilliz icon
Zilliz
Weaviate icon
Weaviate
Stable Difusion icon
Stable Difusion
Qdrant icon
Qdrant
Pix2Pix icon
Pix2Pix
Pinecone icon
Pinecone
Pgvctor icon
Pgvctor
OpenAI icon
OpenAI
Momento icon
Momento
Mixtral icon
Mixtral
Llava icon
Llava
Hugging Face icon
Hugging Face
Faiss icon
Faiss
Chroma icon
Chroma
ChatGPT icon
ChatGPT
Activeloop icon
Activeloop
YOLO icon
YOLO
SageMaker icon
SageMaker
Pillow icon
Pillow
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NLTK
Keras icon
Keras
SciPy icon
SciPy
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Redis

How AI Works

Transform customer data into actionable intelligence through our end-to-end AI integration pipeline that collects, optimizes, analyzes, and deploys predictive insights directly into your software products with the generative AI services.
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Sources of Customer Data
Client information is collected from websites, mobile apps, wearable devices, the Internet of Things (IoT), blockchain technology, and e-commerce platforms.
01
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Optimizing Data
Data preparation and attribute crafting encompass examination, visualization, and structured and unstructured data organization. They also involve establishing business aspirations and objectives.
02
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Building Analytical Models
It calls for visualization, crafting interactive dashboards and reports, and employing machine learning and statistical methods for insightful data analysis.
03
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Retrieval augmented generation
RAG framework helps Gen AI work based on structured or unstructured information. All data is embedded into vectors and then partially retrieved into LLM models.
04
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Iterative Model Training
Refining the model through training and evaluation enables the system to enhance its performance based on accumulated data and feedback autonomously.
05
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Strategic Insights
Utilizing CPU/GPU-powered data processing to identify predictive trends and discern patterns, facilitating informed decision-making.
06
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AI Integration
Implementing AI within software products to provide ready-made predictive insights and emulate human cognitive processes effectively, enabled through our generative AI solutions company expertise.
07

Generative AI Possibilities

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Increase the speed of content creation
We streamline your content creation process and enable your team to dedicate efforts to refining and perfecting the content, significantly reducing the need to start from zero.
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Enable faster decision-making
By enhancing the speed at which information is retrieved from extensive datasets, structured and unstructured, businesses summarize crucial insights to expedite the decision-making process.
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Speed up content classification
Employing automation to classify content improves how it's directed toward further processing steps. This method is effectively applied in customer support and the management of complaints.
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Summarize text in a matter of seconds
Automatically creating summaries of the existing documents in your knowledge base allows the content to be repurposed for different uses or platforms.

Generative AI Across Business Operations

Across Business icon
Engaging Customer Experience
  • Personalized messages, emails, or recommendations generation.
  • AI-driven chatbots and virtual assistants that provide instant, 24/7 support.
  • Generating relevant content automatically: product descriptions, FAQs, or help articles.
  • Analyzing customer data to predict future behaviors, preferences, and needs.
Across Business icon
Employee Productivity Raising
  • Natural language queries are used to find information efficiently, similar to human interaction.
  • Automatically adapting content to suit different languages, cultures, or regional nuances.
  • Generating text reports and appealing and contextually relevant video/image creation.
  • Distillation of lengthy documents into summaries, capturing key points and essential information.
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Internal Business Operations
  • Extracting, interpreting, and managing data from invoices, contracts, and forms.
  • The moderation of user-generated content on their platforms, filtering out irrelevant content.
  • Creating realistic data for machine learning model training without privacy concerns.
  • Context-aware instructions, predictive maintenance schedules, and optimized repair procedures.
Across Business icon
Business Creativity Development
  • Unique, tailored images, ideal for websites, product showcases, or marketing materials.
  • Improving the quality of video content, optimizing clarity, resolution, and color balance.
  • Increasing image quality, adjusting lighting and sharpness, and removing imperfections.
  • Music production creates original tracks, sound effects, or jingles tailored to specific needs.

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About generative AI solutions

What critical business pain points do generative AI services address?
Generative AI services tackle the critical business pain point of scalability by automating content creation, data analysis, and personalized customer experiences, thereby significantly reducing the workload on human teams. They also address the challenge of innovation, enabling businesses to rapidly generate new ideas, enhance product design, and stay ahead in competitive markets by leveraging AI-driven insights and creativity.
How are generative AI large language models used in real businesses?
In real businesses, generative AI large language models automate and enhance various tasks, including content creation, customer service, and personalized communication, thereby improving efficiency and customer engagement. They also provide valuable insights from data analysis, assist in decision-making processes, and innovate custom generative AI solutions development through advanced pattern recognition and predictive analytics.
How can I choose the correct generative large language models for unique business requirements?
Evaluate the model's compatibility with your specific data types, scalability to handle your volume of tasks, and its proven effectiveness in similar industry applications within a generative AI service. Consider the ease of integration into existing workflows, the level of customization it allows, and the model's adherence to compliance and security standards relevant to your business sector.
How can I be sure I’m working with the right generative AI service provider?
Look for a partner with hands-on industry experience, a strong understanding of your data systems, and the ability to deliver customized AI integrations — not just out-of-the-box tools. An actual generative AI solutions company will tailor their approach to your business needs and show measurable outcomes.
What sets top generative AI service providers apart from others?
Top generative AI service providers combine deep industry expertise with flexible tech stacks, the ability to customize models to specific business needs, and the infrastructure to support scalable deployment, monitoring, and iteration.

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50 Gen AI Use Cases That Actually Work

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