AI Chatbots Built to
Actually Engage People

From voice companions to support bots and knowledge assistants — we design, build, and ship conversational AI that works in production, not just demos.

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Conversational AI That Goes Beyond the Script

Most chatbots fail because they're built around what the developer found easy — not what the user actually needs. We approach AI chatbot development differently: starting with the conversation, working backward to the architecture, and shipping systems that hold up in real-world usage.

We work with LLMs including GPT-4o, Claude, and Gemini, and build on top of them with RAG pipelines, memory layers, voice interfaces, and system integrations — so your chatbot is grounded in your data and connected to your stack.

57+

Projects

50+

Collaborators in Network

30+

Clients Served

10+

Years Experience

3

Global Offices

100%

Job Success
( Top Rated Plus )

What We Build

Voice-to-Voice Chatbots

Real-time voice AI that listens, understands, and responds naturally. Built with low-latency speech pipelines and LLM inference — proven in production with Chatti.

Customer Support Bots

LLM-powered support agents that handle Tier-1 queries, escalate intelligently, and integrate with your helpdesk — reducing load without sacrificing quality.

Personalized AI Companions

Conversational AI that remembers context, adapts to individual users, and builds engagement over time. Ideal for wellness, education, and consumer apps.

Internal Knowledge Bots

RAG-powered assistants grounded in your documentation, wikis, or product data — giving your team accurate, sourced answers instead of generic LLM responses.

Sales & Lead Qualification Bots

Conversational flows that qualify leads, book demos, and hand off to your CRM — running 24/7 without a sales rep on standby.

Embedded Chat Widgets

Drop-in chatbots for your website or app, customized to your brand, connected to your data, and deployable in days rather than months.

Built In-House

We Built Chatti to Prove the Stack Works

Chatti is our own voice-to-voice AI companion — built entirely in-house and live on the Google Play Store. It uses real-time speech recognition, LLM inference, and text-to-speech to hold natural spoken conversations with users.

Building Chatti wasn't a side project — it was a deliberate investment in proving out the architecture we now bring to client work. Every latency challenge, voice pipeline decision, and personalization layer we solved for Chatti is directly applicable to what we build for you.

View Chatti on Play Store Read the companion piece

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How We Build AI Chatbots

A focused five-step process from use case to production — with clear deliverables at every stage.

Scope & Use Case Definition

We align on the chatbot's purpose, user personas, and success metrics before touching a line of code. A clear scope prevents expensive pivots.

Deliverable

Use case document, conversation flow map, and tech recommendation.

Our AI Chatbot Technology Stack

Tensor RT

Apache Spark

Tensor Flow

PyTorch

Open CV

DeepStream

Intel RealSense

Tableau

Power BI

Dash

Seaborn

Plotly

D3.js

Athena

Crystal Reports

Amazon Redshifts

Kafka

Cosmos

Cassandra

Open AI

Preplexity

Lang Chain

Deep Gram

Eleven Labs

Cursor

AI projects we've delivered
for our clients

Mobile App | Backend | UI/UX | Artificial Intelligence

Italy

Media & Entertainment

Chatti AI

Personal AI Friend

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What our clients are saying about us

Maurizio Pinna

CEO of Aileven

"AitchSoft was amazing during the project completion phase and we were able to successfully complete the project — we would definitely work with them again in the future. We want to highlight their great capacity to write clean, high-quality code and to configure the Azure environment to allow the entire system to work seamlessly. Thank you"

Ivan Carr

CEO of Tribuco

"AitchSoft successfully led the migration of our mobile application from Xamarin.Forms to .NET MAUI, demonstrating exceptional technical capability throughout. Their deep knowledge of both platforms was immediately evident, and they navigated the complexities of the migration with confidence. They met our tight timeline requirements and produced work that gives us confidence the app will remain functional and supported going forward. We're already discussing potential continued development work."

Navarre Trousselot

Founder of Nevexa

"AitchSoft was a very friendly and efficient development partner. The team was always contactable and very good at keeping us up to date. During the project there were several new features we requested and they were able to implement them very quickly without fuss. The app they built came out exactly as designed and they were able to fix any and all issues after the initial build. We were also provided with a very good code walkthrough at the end of the project."

Featured Partners & Clients

Clients and partners we've worked with frequently recommend us thanks to our individual approach to tech problems.

Frequently Asked Questions

We build voice companions, customer support bots, sales and lead qualification bots, internal knowledge assistants (RAG-powered), and embeddable chat widgets — across mobile, web, and API-first deployments.

Yes. We've built Chatti, our own in-house voice-to-voice AI companion, which demonstrates our full-stack capability across real-time speech recognition, LLM inference, and text-to-speech output. We apply the same stack to client projects.

A simple rule-based or LLM-powered text chatbot starts around $8,000–$20,000. A voice-capable AI companion or enterprise support bot with memory and integrations typically ranges from $25,000–$80,000. We scope every project individually after a technical call.

A focused text chatbot can ship in 4–8 weeks. A voice-enabled companion or a RAG-powered knowledge bot with integrations takes 8–16 weeks depending on complexity and the breadth of data sources.

We work with OpenAI (GPT-4o, GPT-4 Turbo), Anthropic Claude, Google Gemini, and open-source models like Llama and Mistral. Model choice depends on your latency, cost, privacy, and capability requirements — we advise on this during scoping.

Yes. We build RAG pipelines that ground the chatbot in your specific knowledge base — documentation, product data, support tickets, or internal wikis. We also integrate with CRMs, helpdesks, and internal APIs.

We architect around your privacy requirements — whether that means using private model deployments, keeping data on-premises, or implementing data retention policies. We can work with GDPR and HIPAA constraints depending on your sector.

Yes. We offer retainer-based support covering model updates, prompt tuning, infrastructure monitoring, and feature iterations as your chatbot evolves post-launch.

AI Chatbots Built toActually Engage People