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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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AI solutions

Competitive Advantages with Our Gen AI Services and LLM Solutions

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Generative
AI Consulting

We advise on Generative AI models 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

By using Generative AI like LLM with RAG, Vision, and Diffusion models, we help businesses with Co-pilots that assist employees, a Q&A company knowledge base, and routine automation.
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Generative AI Development
For Product

Using an AI data-driven approach, DATAFOREST designs and develops intelligent web and mobile platforms with exceptional user experience, reliability, and high-level AI accuracy.
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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.
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Discover the power of Generative AI to drive unparalleled innovation in your industry.

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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

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.
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Ready to improve your business with Gen AI solutions?

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Cases of Using Artificial Intelligence and Machine Learning

Check out a few case studies that show why DATAFOREST will meet your business needs.

Insurance Sales Automation

An insurance agency was struggling with a slow lead intake process and a demotivated sales team. Their customer retention rate was stuck at 32%, and they urgently needed more customers. By implementing tailored solutions including automated lead intake from top carriers, seamless internal data synchronization, integration with quote providers, and the unification of all communication channels in a single Live Chat platform, we supercharged their growth! Their customer numbers shot up 2x, and they're back in the game!
2x

increase in new policy sales

+26%

Customer retention

Peter N. photo

Peter N.

Head of Sales U.S. Insurance Agency
View case study
Insurance Sales Automation preview
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The DATAFOREST team truly understood the issues we were facing and came up with solutions that have completely transformed our insurance agency.

Insurance Profitability Analysis Tool

This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
> 10TB

data processed

89%

accuracy improvement

Sean B. photo

Sean B.

CEO Insurance provider
View case study
Insurance Profitability Analysis Tool case preview image
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Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.

Real Estate Lead Generation

Our client requested a lead generation web application. The requested platform provides the possibility to search through the US real estate market and send emails to the house owners. With over 150 million properties, the client needed a precise solution development plan and a unique web scraping tool.
156 mln

real estate objects

2 sec

search run

Real Estate Lead Generation preview
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Stantem enables lead generation automation in the US real estate market.

Lead-collecting Web Solution

Leadmarket is the lead-collecting web tool made by Dataforest. We’ve built a solution that provides a fast and precise lead search from various sources like Google Places, Facebook Business Pages, Yelp, and Yellowpages in one place. The collected lead bases from the USA's e-commerce, insurance, retail, and finance industries can be set to auto-update as quickly as every 10 minutes!
10

minutes auto-update

904

Search categories

Leadmarket preview
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Leadmarket is the lead-collecting web solution made by Dataforest.

All Success Stories

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
NLTK icon
NLTK
Keras icon
Keras
SciPy icon
SciPy
Redis icon
Redis
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Transform your operations and
exceed customer expectations with our Gen AI expertise.

Unlock your business's full potential!
Get free consultation

Understanding
How AI Works

AI works by collecting and optimizing vast amounts of customer data, building analytical models through iterative training processes.
How do we help companies?
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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 data examination, visualization, and the organization of structured and unstructured data. 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 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
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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
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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.
07

Generative AI Possibilities

AI Possibilities icon
+
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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+
Speed up content
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.
AI Possibilities icon
+
Enable faster
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.
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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 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 info, similar to human interaction.
  • Automatically adapting content to suit different languages or regional nuances.
  • Generating text reports and contextually relevant video/image creation.
  • Distillation of lengthy documents into summaries, capturing key points.
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Internal Business Operations
  • Extracting, interpreting, and managing data from invoices, contracts, and forms.
  • The moderation of user-generated content, filtering out irrelevant content.
  • Creating realistic data for ML model training without privacy concerns.
  • Context-aware instructions, predictive maintenance, and optimized repairing.
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Business Creativity Development
  • Tailored images for websites, product showcases, or marketing materials.
  • Improving the quality of video, optimizing clarity, resolution, and color balance.
  • Refining images, adjusting lighting and sharpness, and removing imperfections.
  • Music production: tracks, sound effects, or jingles tailored to specific needs.

Related articles

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18 min

Insightful Intelligence: How Report Generation Drives Business Success

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16 min

The Future Of Generative AI: Huge And Not Always Explained

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The Power of Personalized Product Recommendations: Understanding, Implementing, and Optimizing Strategies

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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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Thank you! Your submission has been received!
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Clutch
TOP B2B
Upwork
TOP RATED
AWS
PARTNER
qoute
"They have the best data engineering
expertise we have seen on the market
in recent years"
Elias Nichupienko
CEO, Advascale
210+
Completed projects
70+
In-house employees

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