Conversational AI company

Conversational AI development services

Build intelligent conversations. At scale. With care.

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What is Conversational AI?

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Conversational AI is a field within artificial intelligence (AI) that enables machines to understand, process, and respond to human language in a natural and engaging manner.

By mimicking human conversation, сonversational AI can assist customers through chatbots, voice assistants, and other interactive interfaces, providing a seamless and efficient user experience.

Why choose Devico for conversational AI development services?

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High retention rate

96%

We go beyond the 80% industry norm with reliable, expert support.

Wide expert network

3000

Access to over 3000 engineers and AI experts.

Proven track record

500,000

Over 500,000 man-days successfully delivered.

Support

24/7

Highly experienced management team available around the clock.

Scale up with AI

Transform your business with conversational AI-powered solutions

How does it work?

01

Start with the right data

No shortcuts. Just the right signals from the right sources.

Start with the right data

02

Make it clean

Noise out. Structure in. Data ready to learn.

Make it clean

03

Teach the machine

We train models to do more than respond – they understand.

Teach the machine

04

Test it like it matters

Accuracy isn’t enough. It has to be right when it counts.

Test it like it matters

05

Launch where it lives

Real-world ready. Deployed where it makes a difference.

Launch where it lives

06

Keep it sharp

We don’t set and forget. We monitor, adapt, and evolve.

Keep it sharp

How businesses are using
Conversational AI

From enhancing customer engagement to automating support tasks, Conversational AI is transforming various industries and allowing them to scale without adding cost or compromising on service promises.

Healthcare

Conversational AI can assist patients with scheduling appointments, providing medical information, and offering mental health support. It significantly improves patient engagement and accessibility to healthcare services.

Use cases:

  • Patient triage and symptom checking.
  • Appointment scheduling and reminders.
  • Mental health support through chatbots.
  • Providing medication information and adherence reminders.
Finance and insurance

Financial institutions use Conversational AI to provide customer support, assist with transactions, and offer personalised financial advice. This technology helps in improving customer experience and operational efficiency.

Use cases:

  • Customer service through virtual assistants.
  • Automated handling of common banking transactions.
  • Personalised financial advice and planning.
  • Fraud detection and alerts through conversational interfaces.
Retail

Retailers leverage Conversational AI for customer support, personalised shopping experiences, and handling inquiries about products and services. This technology enhances customer engagement and drives sales.

Use cases:

  • Virtual shopping assistants for product recommendations.
  • Handling customer inquiries and support requests.
  • Order tracking and status updates.
  • Personalised marketing and promotions.
Manufacturing

In manufacturing, Conversational AI assists with internal communication, troubleshooting equipment issues, and providing training resources. It ensures efficient operations and improved worker productivity.

Use cases:

  • Real-time support for equipment troubleshooting.
  • Automated internal helpdesk for employee queries.
  • Providing training and safety information.
  • Streamlining communication across teams.

No need to explain twice

97% of executives acknowledged that Conversational AI positively influenced user contentment

The Core Capabilities of
Conversational AI

Natural Language Processing

Helps AI understand what people really mean – not just what they say.

Practical Use cases:

01

Parsing customer queries to provide relevant answers.

02

Translating languages in real-time for global support.

03

Extracting key information from conversations for analysis.

04

Enabling multi-turn conversations for complex interactions.

Speech Recognition

Turns spoken words into text so your system can listen and respond.

Practical Use cases:

01

Transcribing customer calls for analysis.

02

Enabling voice commands in mobile applications.

03

Assisting with dictation and note-taking.

04

Enhancing accessibility for visually impaired users.

Text-to-Speech

Gives your AI a voice – so it can talk back naturally.

Practical Use cases:

01

Reading out information to users in a conversational manner.

02

Providing verbal assistance in navigation systems.

03

Offering auditory alerts and notifications.

04

Enhancing customer service with voice responses.

Dialog Management

Keeps the conversation flowing and makes sure every reply makes sense.

Practical Use cases:

01

Handling multi-turn conversations smoothly.

02

Maintaining context across different interactions.

03

Escalating to human agents when necessary.

04

Personalising conversations based on user history.

Advanced Conversational AI Techniques

The table below dives deeper into advanced Conversational AI techniques. These techniques require significant computational resources and expertise for implementation.

Criteria

Transformer Models

Generative Models

Transfer Learning

Definition

Models that use attention mechanisms to understand context and improve language understanding.

Models that generate human-like text based on input data.

tilising a pre-trained language model on a new, related problem.

Goal

Improve understanding and response accuracy by focusing on context.

Create coherent and contextually appropriate responses.

Leverage existing models to reduce training time and improve performance on new tasks.

Algorithms

Attention layers, encoder-decoder architectures.

GPT-3, BERT.

Fine-tuning pre-trained models, domain adaptation.

Data Requirement

Requires large amounts of conversational data.

Requires substantial data to generate meaningful text.

Requires less data than training a model from scratch, using pre-trained models.

Advantages

High accuracy in understanding context, ability to manage long conversations.

Capable of generating high-quality, human-like text.

Significantly reduces training time and resources, improves performance with less data.

Applications

Customer support chatbots, virtual assistants, automated transcription services.

Content creation, automated report generation, conversational agents.

Custom chatbots, virtual assistants, sentiment analysis.

Techniques

Self-attention, transformer networks, BERT.

Generative pre-trained transformers (GPT-3), fine-tuning on specific tasks.

Model fine-tuning, transfer learning architectures like GPT, BERT.

Get in touch

Drop us a line about your project and we will contact you within a business day

Our locations

New York

HQ

521 Fifth Ave, NY 10175

+1 805 491 9331

London

Sales

9 Brighton Terrace, SW9 8DJ

+44 1922 214429

Warsaw

R&D

Towarowa 28, 00-847

info@devico.io

Lviv

R&D

Uhorska str. 14, 79034

info@devico.io

Questions & answers

They help scale your support by automating answers to repetitive questions, handling peak loads, and giving your human agents space to focus on complex cases.

Yes – if it’s well-designed. A good Conversational AI development company will match your tone, context, and business logic to create natural, brand-aligned experiences.

No. Conversational AI can help in sales, HR, internal IT, healthcare, onboarding – anywhere communication happens repeatedly.

We train it on your real conversations, FAQs, and workflows. Our Conversational AI development services are tailored – never generic.

Rule-based bots follow scripts. Our Conversational AI solutions understand intent, context, and nuance – and can actually hold a conversation.

Yes. We build once, deploy anywhere – from web chat and WhatsApp to Alexa or IVR systems.

We’ll need sample conversations, access to your existing knowledge base, and a clear goal. Our Conversational AI development company handles the rest.

Yes. Our Conversational AI development services include continuous learning – we retrain based on new data, feedback, and business shifts.

Absolutely. Many clients start with a focused proof of concept to test ROI before scaling.

Yes. Our models handle real-world inputs – misspellings, slang, mixed language – and we can fine-tune them to your audience.

Yes. We build bots that talk to CRMs, databases, ticketing systems – whatever you use.

We build tight guardrails, fallback logic, and monitor responses in real time. Our Conversational AI development services balance flexibility with safety.