Generative
AI Solutions
Generative artificial intelligence (AI) is a potential game changer for your industry. By leveraging generative AI, businesses stay ahead of their competition by fostering innovation, improving efficiency, and delivering personalized experiences to customers. Drive better business outcomes on a broad front with AI and DATAFOREST.
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Competitive Advantages with Our Gen AI Services and LLM Solutions
LLM Agent Is A State-Of-Art Automation
LLM it is not only the possibility to chat and get a wide range of information, it's the possibility to retrieve your local data from databases, docs and spreadsheets. With advanced LLM Agents, you can automate your routine processes, streamline your client communication, or implement your start-up ideas.
How Can You Benefit With Generative AI Development Services?
01
AI Copilot
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
After implementing workflow automation with generative AI, 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
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 reduces the time and effort required to compile, update, and maintain accurate and comprehensive information repositories, addressing manual knowledge management.
04
AI Computer Vision
Generative AI reforms 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.
05
LLM Powered Chatbots
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 Gen AI solutions, catering to unique requirements. We sift through databases and spreadsheets and use various leading LLM service platforms: ChatGPT, Meta (Llama 2), Bard, Llava, and Mistral.
06
AI Integration
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 Gen AI solutions, catering to unique requirements. We sift through databases and spreadsheets and use various leading LLM service platforms: ChatGPT, Meta (Llama 2), Bard, Llava, and Mistral.
07
Virtual Assistants
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. They provide around-the-clock support, improving engagement and gathering valuable data to inform business strategies.
08
PoC and MVP Development
Proof of Concept and Minimum Viable Product Development aims to rapidly validate the technical feasibility and business potential of AI solutions by creating lightweight prototypes that demonstrate core value propositions, reduce investment risks, and provide proof of concept through minimum viable product implementations that showcase practical AI application potential for client-specific use cases.
09
AI Agent Development
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.
10
End-to-End ML and AI Model Production
DATAFOREST experts transform 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
We lead organizations through AI transformation by providing expert guidance, comprehensive assessment of AI opportunities, tailored solution design, technology roadmapping, and actionable recommendations that enable businesses to leverage generative AI technologies to drive innovation, optimize operations, and create competitive differentiation.
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.
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.
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.
Improve chatbot efficiency and usability with AI Agent
All Success Stories
Technologies of Artificial Intelligence and Machine Learning
Lama 2
Zilliz
Weaviate
Stable Difusion
Qdrant
Pix2Pix
Pinecone
Pgvctor
OpenAI
Momento
Mixtral
Llava
Hugging Face
Faiss
Chroma
ChatGPT
Activeloop
YOLO
SageMaker
Pillow
NLTK
Keras
SciPy
Redis
Transform your operations and
exceed customer expectations with our Gen AI expertise.
Unlock your business's full potential!
Understanding
How AI Works
AI works by collecting and optimizing vast amounts of customer data, building analytical models through iterative training processes.
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
Optimizing Data
Data preparation and attribute crafting encompass data examination, visualization, and the organization of structured and unstructured data. They also involve establishing business aspirations and objectives.
02
Building Analytical Models
It calls for visualization, crafting interactive dashboards and reports, and employing machine learning and statistical methods for insightful data analysis.
03
Retrieval augmented generation
RAG framework helps Gen AI to work based on your information, either structured or unstructured. All data is embedded into vectors and then partially retrieved back into LLM models.
04
Iterative Model Training
Refining the model through training and evaluation, enabling the system to autonomously enhance its performance based on accumulated data and feedback.
05
Strategic Insights
Utilizing CPU/GPU-powered data processing to identify predictive trends and discern patterns, facilitating informed decision-making.
06
AI Integration
Implementing AI within software products to provide ready-made predictive insights and emulate human cognitive processes effectively.
07
Generative AI Possibilities
Increase the speed
of content creation
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.
Speed up content
classification
classification
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.
Enable faster
decision making
decision making
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.
Summarize text in
a matter of seconds
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
Engaging Customer Experience
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Personalized messages, emails, or recommendations generation.
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AI-driven chatbots and virtual assistants that provide instant, 24/7 support.
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Generating content automatically: product descriptions, FAQs, or help articles.
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Analyzing customer data to predict future behaviors, preferences, and needs.
Employee Productivity Raising
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Natural language queries are used to find info, similar to human interaction.
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Automatically adapting content to suit different languages or regional nuances.
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Generating text reports and contextually relevant video/image creation.
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Distillation of lengthy documents into summaries, capturing key points.
Internal Business Operations
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Extracting, interpreting, and managing data from invoices, contracts, and forms.
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The moderation of user-generated content, filtering out irrelevant content.
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Creating realistic data for ML model training without privacy concerns.
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Context-aware instructions, predictive maintenance, and optimized repairing.
Business Creativity Development
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Tailored images for websites, product showcases, or marketing materials.
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Improving the quality of video, optimizing clarity, resolution, and color balance.
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Refining images, adjusting lighting and sharpness, and removing imperfections.
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Music production: 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 a wide range of 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 product development through advanced pattern recognition and predictive analytics with generative AI services.
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 generative AI services. 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.
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