Real-Time AI Voice Agent for Cold Calling

We developed a real-time voice-to-voice AI agent for the client, one of the top affiliate CPA networks. It delivers human-like conversations, handles noisy environments, and integrates with the client’s CRM and ATS. Trained on sales data, it boosts performance with <450 ms response time and a 1:1–1.5 sales quality ratio vs. human agents.

Marketing

Generative AI

Business process automation

Marketing

Generative AI

Business process automation

1:1–1.5

Sales quality ratio vs. human agents

<450

ms voice bot response latency — faster than human reaction time

About the client

Our client is a leading affiliate CPA network, recognized for offering the best conditions for partners and advertisers. Focused on delivering high-quality leads and maximizing campaign performance, they continuously invest in innovation to maintain their competitive edge in the affiliate marketing industry.

Tech stack

Silero VAD

Whisper Large

Gemini

ElevenLabs

SIP

The client's needs

The client set out to integrate AI into their core workflows to stay ahead of the competition, aiming to boost efficiency, elevate customer interactions, and future-proof their operations. They needed a voice-to-voice AI agent capable of real-time, human-like conversations, trained in sales techniques and product knowledge, resilient in noisy environments, and fully integrated with their custom CRM and ATS systems to automate data flows and accelerate performance across the board.

Challenges & solutions

Challenge

Build a real-time, natural-sounding voice-to-voice AI agent as close as possible to human speech.

Solution

We selected a voice model with human-like sound quality and developed an AI agent optimized for real-time, natural conversations. The AI voice was fine-tuned to be expressive and lifelike, ensuring more natural interactions.

Challenge

Train the AI voice bot on sales techniques and product knowledge.

Solution

Using data from hundreds of hours of sales calls, scripts, and marketing materials, we built a custom database via Retrieval-Augmented Generation (RAG). Leveraging a fine-tuned LLM and the LangChain framework, we developed a reliable AI capable of handling real-world sales conversations, objection handling, and upselling scenarios.

Challenge

Ensure voice recognition in noisy environments during real-time calls.

Solution

We developed a custom noise suppression framework using adaptive models, allowing the AI to accurately recognize and process speech even during calls with background noise. This ensures clear voice recognition and natural conversation flow, even in suboptimal acoustic conditions.

Challenge

Seamlessly integrate with the client’s custom CRM and ATS systems

Solution

We integrated the voice agent with the client’s CRM and ATS, enabling real-time call logging, automated data synchronization, and streamlined workflows across platforms.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Results

The client aimed to gain a competitive edge by embedding AI into their workflows, enhancing efficiency and improving customer interactions.

We built a custom AI voice agent capable of real-time, two-way voice interaction with human-level responsiveness. With sub-450 ms latency and operating costs under $4/hour, it delivers scalable, natural conversations.

Matching or exceeding human performance with a 1:1–1.5 sales quality ratio, the solution enables scalable outreach, reduces cost per interaction, and ensures consistent conversion results. It enhances operational efficiency and unlocks new revenue streams, turning AI into a strategic asset.

AI-Powered Cold Calling: Real-Time Voice-to-Voice Conversations

Steps of providing
data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

How we provide data integration solutions

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

At this stage, we need to ensure that we understand the full scope of the project. We receive from you or perform a set of interviews and prepare the following documents: integration pipeline (which data we should get and where to upload), process logic (how system should work); use cases and acceptance criteria; solution architecture. Ultimately we make a project plan which we strictly follow.

Step 3 of 5

Solution development

At this stage, we build ETL pipelines and necessary APIs to automate the process. We attract our DevOps team to build the most efficient and scalable solution. Ending up with unit tests and quality assurance tests to ensure that the solution is working properly. Focus on Results is one of our core values as well.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we are expecting client’s participation in the project. While developing the integration system, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Steps of providing web applications services

Step 1 of 7

Web development discovery

In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. DATAFOREST is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.

Step 2 of 7

UX and UI design

Based on your wishes, the needs of your target audience, and the best web application design and development practices, our UX and UI experts create an aesthetically pleasing and user-friendly interface for your app to satisfy even the most demanding users.

Step 3 of 7

Web-based application development

At DATAFOREST we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.

Step 4 of 7

Integration

With DATAFOREST, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.

Step 5 of 7

Quality assurance

We use a multi-level quality assurance system to avoid any unforeseen issues. Working with DATAFOREST, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.

Step 6 of 7

24/7 support

Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.

Step 7 of 7

Web app continuous improvement

Every truly high-quality software product has to constantly evolve to keep up with the times. We understand this, and therefore we provide services for updating and refining our software, as well as introducing new features to meet the growing needs of your business and target audience.

The way we deal with your task and help achieve results

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.

Step 3 of 5

Solution development

The work starts with data gathering, data cleaning and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.

Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

The way we deal with your issue and achieve result

Free consultation

Step 1 of 5

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

Depending on project objectives, DevOps activity requires auditing the current approach, running metrics measurement, performing monitoring and checking logs. By having a set of interviews, we ensure that we understand the full scope of the project. Ultimately we make a project plan which we strictly follow. We are a result-oriented DevOps service provider company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, our certified DevOps engineers refine the product backlog. We deliver great results within digital transformation, cost optimization, CI/CD setup, containerization, and, last but not least, monitoring and logging. We are a result focused company – it’s one of our core values.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Success stories

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

All Success Stories

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

customer retention boost

25%

profit growth

Christopher Loss

CEO Dayrize Co, Restaurant chain

View case study

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Store heatmap

The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.

increase in sales

100%

dead zones removed

Jared D.

CEO Consumer Electronics Retail

View case study

DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit 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

View case study

Improve chatbot efficiency and usability with AI Agent

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

View case study