Voice Assistant Development Built Around Your Users

Build a secure, scalable, and user-friendly AI voice assistant app with Beetroot. From conversational design to voice UX and backend integration, our engineers help you create systems that understand spoken requests and support your users and teams.

Talk to a voice AI expert

  • Top 1% of global
    Software Service providers

  • ISO 27001 certification
    by Bureau Veritas

  • GDPR-Compliant processes
    for responsible data protection

  • AWS trusted infrastructure
    for scalable solutions

  • Bureau Veritas —
    an independent global leader in testing, inspection, and certification.

Why Voice Assistants Make (More) Business Sense

Voice can simplify user interaction, reduce repetitive support work, and help services handle growing demand. The right voice assistant development approach can address persistent UX and operational challenges across industries.

  • High support costs

    Voice assistants can handle FAQs, appointment booking, and basic troubleshooting, reducing repetitive work for support teams while routing more complex requests to people.

  • Inconsistent user experience across platforms

    A multi-platform voice app can provide a familiar voice-first experience across web, mobile, and smart devices, with interactions adapted to your workflows and brand tone.

  • Manual processes that don’t scale

    From voice-enabled data entry to task orchestration, AI-powered voice assistants can trigger backend actions and reduce manual steps, giving teams more time for higher-value work.

  • Limited accessibility for non-visual users

    A well-designed voice user interface can make digital services easier to use for people with visual or motor impairments and in situations where hands-free interaction is useful.

  • Fragmented customer journeys

    A custom AI voice assistant can connect channels and tools to support more consistent interactions across customer support, onboarding, and other workflows.

  • Data locked in silos

    Voice analytics and backend integrations can turn conversation data into useful signals for product, service, and support teams, provided the appropriate consent, privacy controls, and analysis are in place.

Voice AI Assistant Services for Complex Systems and Real-World Use

We help you build voice-enabled products that are secure, scalable, and easy to use without adding complexity to your workflows. Whether you’re starting voice app development from scratch or integrating voice into your current stack, we’ll bring the right tools and team to support the work.

  • AI Voice Assistant Consulting

    Align your product goals, technical options, and roadmap with expert support — useful for teams looking to move forward while reducing avoidable missteps and rework.

  • Custom Voice Assistant Development

    Get a voice solution built around your users and systems rather than a generic script. We tailor the conversation logic, integrations, security controls, and experience to your business needs.

  • Generative AI-Powered Voice Assistants

    A generative AI voice assistant can support more flexible, context-aware conversations while maintaining appropriate control over tone, responses, and safety.

  • Conversational AI & NLP Integration

    Improve understanding, relevance, and conversational flow with NLP capabilities, from user intent detection to dialog-flow management, adapted to your specific use case.

  • AI-Powered Task Automation & Backend Integration

    Reduce manual steps with voice interfaces that connect to your existing tools. Depending on the use case, the assistant can retrieve information, update records, create tickets, schedule tasks, or route requests within your permissions and rules.

  • Multi-Platform Voice App Development

    Extend voice functionality across relevant web, mobile, and smart-device channels. We design the experience to connect with your systems and support the deployment model your product requires.

  • Voice UI/UX Design & Enablement for Existing Apps

    Enhance your current product with voice features that feel natural, intuitive, and aligned with your brand. We can refine prompts, turn-taking, fallback logic, accessibility, and interaction flows without requiring a complete redesign.

  • Post-Launch Services

    Create custom predictive analytics solutions that others don’t have to lead the market. Rely on our vetted talent network to engage necessary expertise to create and implement an AI model from end to end. Our software developers will prepare the data, develop and train the model, and keep retraining it after deployment to ensure accurate output.

  • Wondering how voice fits into your product strategy?

From Voice Strategy to a Working Assistant

Creating a conversational AI voice assistant that people want to use takes more than good code or a capable model. It requires a process that connects strategy, user experience, and reliable performance without losing sight of your business goals. Our approach is designed to reduce rework and give your team clear review points throughout delivery.

  • Discovery & Intent Mapping

    Step 1

    We start by getting to the heart of what your AI-based voice assistant needs to do for your users and the business. Through structured workshops, we define key intents, build a domain model, and prioritize use cases that will deliver clear value. This phase keeps the assistant grounded in real needs rather than assumptions.

  • UI/UX Prototyping & Speech Engine Benchmarking

    Step 2

    Voice UX is different, so we prototype early to test how users will interact with the assistant and how it should respond and guide them. In parallel, we benchmark speech engines for recognition accuracy across the relevant languages, accents, devices, and environments to minimize tech mismatches down the road.

  • Conversational Design & Dialog Flow Build

    Step 3

    Next, we map out the conversation itself — structuring dialog flows, fallback logic, and memory handling so the assistant responds naturally and recovers gracefully when a request goes off-script. The goal is a conversation that feels clear and keeps users moving toward what they came to do.

  • Backend & Multi-Channel Integration

    Step 4

    Whether you’re adding voice to a mobile app, website, or smart device, we connect the assistant with the systems included in the project scope. This may involve APIs, databases, business logic, and coordination across supported channels.

  • Testing & QA Services

    Step 5

    Before launch, we test the assistant across relevant devices, platforms, accents, environments, and edge cases. The scope can include response quality, latency, fallback behavior, accessibility, security controls, and conversational AI testing, with findings shared for internal privacy and compliance review.

  • Launch, Analytics & Iteration

    Step 6

    AI voice agent development does not necessarily end at launch. Where post-launch support is included, we can help establish analytics and feedback loops, review interaction patterns, and refine the generative AI voice assistant as product needs and user behavior evolve.

Technologies & Tools We Use

We select voice technologies around your use case, performance needs, existing stack, and deployment environment — from lightweight embedded assistants to larger enterprise systems.

  • Speech Recognition and Language Processing

    • OpenAI Whisper
    • Google Cloud Speech-to-Text
    • Microsoft Azure AI Speech
    • ESPnet
    • spaCy
    • Hugging Face Transformers
    • VADER
    • Flair

  • Conversational AI and Model APIs

    • OpenAI API
    • Anthropic API
    • Google AI APIs
    • locally hosted LLMs
    • Rasa
    • txtai

  • Machine Learning Frameworks

    • TensorFlow
    • PyTorch
    • Keras
    • scikit-learn

  • Application Development

    • Python
    • Node.js
    • React
    • Vue.js
    • Angular
    • Flutter
    • React Native

  • Databases and Caching

    • PostgreSQL
    • MongoDB
    • Redis
    • Amazon DynamoDB

  • Cloud and Deployment

    • AWS
    • Microsoft Azure
    • Google Cloud
    • Docker
    • Terraform

Get to Know Your Voice Assistant Developers

Meet the voice AI engineers, NLP specialists, chatbot development experts, and system integrators who can support your project. Their experience spans speech recognition, backend integration, and conversational design, helping shape voice experiences that feel natural and work within your existing product environment.

  • $68/h

    NLP Engineer

    Rafał N., 7+ years of experience
    Rafał specializes in NLP-driven conversational AI and voice solutions, building multilingual chatbots, fine-tuned intent-recognition engines, and real-time speech-to-text pipelines.
    • Anthropic API
    • Google AI APIs (Gemini/Vertex)
    • Locally-hosted LLMs
    • OpenAI API

    Request full CV

  • $55/h

    Full-Stack Chatbot Developer

    Daria P., 6+ years of experience
    Daria builds end-to-end chatbot solutions, covering backend, frontend, and mobile app integration. She ensures seamless deployment through cloud platforms and containerization tools.
    • Cloud Platforms: AWS, Azure, GCP
    • Flutter
    • IaC/Config: Terraform, CloudFormation (IaC), Ansible
    • JS/TS: Node.js, Next.js, Express, NestJS
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $50/h

    AI Chatbot Developer

    Anastasiia H., 6+ years of experience
    Anastasiia specializes in building robust chatbots using HuggingFace Transformers, AWS Comprehend, and Flair. As a chatbot programmer, she focuses on sentiment analysis, NLP pipelines, and conversational AI systems tailored to diverse industries.
    • Google Cloud Natural Language API
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai

    Request full CV

  • $55/h

    Senior LLM Advisor

    Natalia K., 7+ years of experience
    Natalia has led multiple AI transformations, focusing on advanced text processing and domain-specific knowledge transfer. She’s adept at bridging R&D with practical business use cases.

    Request full CV

  • $22/h

    Senior Python Developer

    Hung N., 5+ years of experience
    Senior developer with great curiosity about the operation of large systems and computer systems' lower layers.
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $50/h

    Data Scientist & LLM Engineer

    Mohammed S., 5+ years of experience
    Mohammed translates theory into real-world success. He merges standard NLP with generative modeling to refine automation for client workflows.
    • Data Science
    • LLMs
    • NLP

    Request full CV

  • $65/h

    Data Architecture Engineer

    Laura S., 8+ years of experience
    Laura excels in building robust data models and architectures for real-time analytics and business intelligence. Her work ensures efficient data flow and storage, aligning with the needs of data-driven organizations.
    • MongoDB / Redis / DynamoDB / InfluxDB
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Processing: Hadoop, Spark, PySpark

    Request full CV

  • $67/h

    API Architect

    Oleh M., 7+ years of experience
    Enterprise-grade architect who has spent 7 + years turning business capabilities into secure, discoverable, and high-performance APIs. Designs and governs multi-cloud, event-driven platforms that connect microservices, external partners, and legacy systems without sacrificing reliability or speed.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • API Gateways
    • C#, .NET / .NET Core, C# ASP.NET Core
    • Cloud monitoring (AWS, GCP, Azure)
    • GraphQL
    • IaC/Config: Terraform, CloudFormation (IaC), Ansible
    • Jenkins / GitLab CI / GitHub Actions / Git
    • Microservices
    • Orchestration: Kubernetes, Docker
    • Spring (Boot/WebFlux/Data) / Hibernate / Quartz Scheduler

    Request full CV

  • $90/h

    Senior Chatbot Integration Architect

    Elena V., 11+ years of experience
    Elena designs multi-channel architectures that handle millions of messages daily. She leads OAuth hardening, vector-store deployment, and RAG pipelines, ensuring each bot scales securely across web, mobile, and voice.
    • LangChain
    • OAuth 2.0
    • OpenAI API
    • Orchestration: Kubernetes, Docker
    • Rasa Pro
    • SOC 2 readiness review

    Request full CV

  • $55/h

    DevOps & CI/CD Specialist for Conversational AI

    Maria B., 5+ years of experience
    Maria creates zero-downtime blue-green pipelines and observability stacks that keep chatbot releases predictable. Her Helm charts, load tests, and security scans cut deployment lead time and maintain excellent uptime.
    • Azure Pipelines
    • DevOps
    • HashiCorp Vault
    • Jenkins / GitLab CI / GitHub Actions / Git
    • Orchestration: Kubernetes, Docker

    Request full CV

  • $60/h

    Mid-Level NLU & Data Engineer

    Peter S., 6+ years of experience
    Peter fine-tunes transformer models and builds multilingual corpora that boost first-touch intent accuracy by 25 %. He automates annotation workflows and integrates analytics dashboards that surface drift before it impacts CX KPIs.
    • AWS SageMaker
    • HuggingFace Transformers (BERT-based models) / VADER / SpaCy / txtai
    • Pinecone
    • Prometheus / Grafana / ELK Stack / Google Cloud operations

    Request full CV

Flexible Cooperation Models for AI-Powered Voice Assistant Development

Whether you’re building a custom voice assistant AI, adding voice features to an existing app, or strengthening your team’s conversational AI skills, we shape the cooperation around your product goals, technical needs, and delivery pace.

  • Dedicated Voice AI Teams

    Best for long-term partnership

    Strengthen your engineering capacity with a dedicated team of voice AI engineers, NLP experts, and backend specialists who work as part of your product team, fully aligned with your workflows and tools.

  • Project-Based Solutions

    Best for specific, time-bound goals

    Need support for a defined mission? Bring in a cross-functional team for a clearly scoped initiative, from an early prototype to voice integration within an existing product.

  • Custom AI Workshops for Teams

    Best for targeted team upskilling

    Give your team hands-on experience with conversational design, VUI prototyping, and system integration. Each session is tailored to your stack, use cases, and product roadmap.

Choose the level of voice AI support that fits your team and roadmap

Your Trusted Voice App Development Company

We combine technical depth with real-world voice AI experience to help you build assistants that are secure, usable, and easy to maintain. From conversation design to backend integration, we work closely with your team to create a solution suited to your product and operating environment.

  • Voice AI That Fits Your Roadmap

    We design every assistant to fit your goals, users, and tech ecosystem, whether you’re launching a new product, adding voice features to an existing app, or replacing manual steps with natural conversation.

  • Industry-Specific Expertise

    Beetroot’s domain experience across healthcare, sustainability, FinTech, and education helps us understand the workflows, users, and constraints surrounding your product.

  • Flexible and Transparent Collaboration

    Our developers, designers, and voice UX experts integrate into your workflows, processes, and culture. Whether you need a long-term partner or a short-term delivery team, we maintain clear, consistent, and flexible collaboration.

  • Built for Usability and Access

    We consider intuitive flows, inclusive voice design, and accessibility from the start. The experience is tested across the platforms, devices, languages, accents, and environments relevant to your users.

  • Technology-Agnostic Approach

    We’re tech-agnostic by design. That means we help you choose the frameworks, speech engines, and deployment models that align with your product roadmap and existing infrastructure.

  • Sustainable and Purpose-Driven

    Beetroot is a tech ecosystem that believes technology should be a force for good. Working with us also means contributing to sustainable development practices, local tech communities, and responsible technology choices.

Featured Work

See how Beetroot has supported products involving speech recognition, AI, complex data, and accessible user experiences.

  • Speak’n’Hear

    Speak’n’Hear is a mobile app designed to make communication easier for people with hearing or speech differences, including interactions with healthcare professionals. As Beetroot’s ongoing R&D project, it combines real-time speech recognition and text-to-speech features with an accessible interface shaped around different communication needs.

    Read the full story

    • UI/UX Design
    • Flutter
    • ASP.NET
    • OpenAI Whisper
    • Espnet
    • txtai

Industries We Cover as a Computer Vision Development Company

Our computer vision services assist businesses across multiple sectors. As a trusted computer vision service provider, we bring forward experts who help build solutions to meet unique industry challenges.

  • HealthTech

    Improving medical diagnostics and patient care with AI-driven image analysis. Automate the detection of anomalies in X-rays, MRIs, and CT scans to bring forward early disease detection. Continuous patient monitoring through real-time image tracking ensures proactive healthcare interventions.

  • GreenTech

    Aerial and satellite imagery is used to track environmental shifts, detect deforestation, and monitor air/water quality. AI-powered image analysis supports climate action initiatives. It identifies pollution sources and helps optimize conservation strategies for a sustainable future.

  • FinTech

    Strengthen fraud detection with advanced image recognition. Automate document processing for financial transactions, streamline KYC processes, and prevent identity theft through biometric facial recognition.

  • EdTech

    Improve learning experiences with AI-powered content moderation, personalized learning paths, and interactive visual feedback. Automate the review of user-generated content, enhance engagement with computer vision-based tutoring tools, and support accessibility with image-to-text conversion for visually impaired learners.

  • Manufacturing

    Improve quality control with automated defect detection, minimizing waste and production errors. Implement AI-powered vision systems to monitor assembly lines to adhere to safety standards and reduce downtime. Optimize predictive maintenance by identifying wear and tear through visual inspections.

  • Retail & eCommerce

    Optimize inventory management with AI-driven object recognition, enabling real-time stock tracking and automated replenishment. Implement smart pricing models to adjust dynamically based on demand, competitor analysis, and visual merchandising trends. Improve customer experience with visual search and AI-powered recommendation engines.

Leverage our cross-domain experience

What Our Clients Say About Our AI Software Development Expertise

Your fellow business leaders and decision-makers choose Beetroot to bring both strong technical expertise and a collaborative, engaged attitude.

  • CEO, Stridar

    From an industry perspective, Beetroot AB’s expertise, knowledge, and competency are excellent. The administrative tasks have been highly straightforward thanks to Beetroot AB. We’ve seen a significant cost reduction of about 60%. We’ve retained 100% of the staff we’ve hired through Beetroot AB, experienced zero performance issues, and the quality of their work has met our expectations.

Custom Voice AI Workshops for Your Team

Transform your team into GenAI experts: get practical, hands-on training.

  • Benefits of Custom Voice Assistant Workshops:

    • Practice-driven, grounded in real-world challenges

      Each workshop is run by industry professionals who’ve built and deployed AI-driven systems. We can design sessions around your flows, technical constraints, and user needs your team is already working with rather than generic examples.

    • Designed for your stack, goals, and skill level

      Sessions are shaped around your team’s needs — whether that’s voice UX, speech processing, or system integration. The result? Training that delivers relevant, measurable value to your roadmap.

    • A future-ready team with less vendor reliance

      Use the workshop to align technical and product perspectives, examine possible approaches, and define practical next steps for development. Strengthen your in-house talent to handle change confidently and keep pace with emerging technologies.

Let’s Build a Voice Assistant That Fits Your Needs

Tell us what you’re working on and share your goals in the form. We’ll follow up to discuss practical next steps.

    FAQs

    Planning a voice-enabled product usually starts with questions about scope, integrations, security, timelines, and ongoing support.

    Nick Tykhomyrov, CBDO, Beetroot

    Nick Tykhomyrov

    CBDO