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AI Chatbot & Voice AI Development

Advanced chatbots and voice assistants capable of having real conversations—multilingual, context-aware, and connected to your backend—designed to resolve issues rather than merely deflect them and able to smoothly transfer the conversation to a human when that is necessary.

Sound familiar?

When conversational AI is the right answer

Support volume outgrew the team

The same twenty questions come in around the clock, in several languages — and the queue keeps growing while the answers sit in your documents.

The phone never stops

In operations that rely heavily on the telephone, such as handling bookings, making reschedules, checking order status, and conducting routine intake procedures, each call currently has to be taken by a person.

Your last chatbot embarrassed you

If you use a scripted bot which ends the conversation with customers or one based on an LLM that invents information, then you need a bot that is grounded in your actual data and has proper escalation procedures.

Capabilities

What we build

Custom AI chatbots

Web-based, in-app, and WhatsApp assistants that are based on your knowledge base and linked to your systems—this way they can respond accurately and take action, not just chat.

AI voice agents

Phone agents handling inbound and outbound calls with low latency and natural speech, providing services such as booking, qualifying, answering, and routing via actual telephone lines.

Multilingual by design

Conversations in your customers' own languages, with a consistent brand tone rather than word-for-word translation artifacts.

Deep backend integration

The CRM system, the helpdesk system, the booking system, and the order system have been connected so that the bot can retrieve the actual answer and carry out the actual action.

Human handoff & escalation

When escalation is based on confidence, the entire conversation context is passed on to your team so that customers don't have to repeat themselves.

Evals, analytics & tuning

Tools for tracking resolutions, reviewing conversations, and providing evaluation suites so that quality can be seen and improved upon launch.

Use cases

Where this earns its keep.

Customer support resolutionPatient intake & schedulingLead qualificationOrder status & returnsInternal IT/HR helpdeskIVR replacement
The SoftmaxAI Method

Every engagement runs spec-first, agent-accelerated, human-owned.

01 / SPECSpec

A written specification that has been approved by the client prior to any coding taking place — covering the architecture, the edge cases, and the acceptance criteria.

02 / BUILDBuild, with agents

The engineers arrange for the AI agents to carry out the specification in parallel, taking weeks rather than quarters.

03 / VERIFYVerify

The evaluations, tests, and security checks are carried out together with the build, and humans examine every decision that is important.

04 / SHIPShip & improve

The system has been deployed to your GCP or AWS, complete with monitoring, production evaluations, and retraining loops.

Proof

From the portfolio.

Retail & E-commerce · Chatbots & Voice

A voice agent that answers customer calls and recommends the right product

A production-grade conversational voice agent that customers can access through a regular phone number in order to check the status of their orders and receive personalized product recommendations — an actual telephony system designed for concurrent, natural conversations rather than a scripted IVR.

Read case study →
Stack

Tools we reach for.

Chosen for each project based on evaluations and fit — never out of habit.

GeminiGPT RealtimeClaudeTwilioLiveKitDeepgramElevenLabsDialogflow CXWhatsApp Business APIVertex AIRAG grounding
FAQ

Questions, answered.

How do you stop the bot from making things up?
Grounding and evals. Answers are generated from your approved knowledge sources with citations internally traceable, out-of-scope questions are declined or escalated, and an evaluation suite of real customer scenarios runs before every release.
How natural is voice AI on a real phone line?
Modern speech models hold natural, low-latency conversations, handle interruptions, and manage accents well. We design for the hard parts — background noise, ambiguity, emotional callers — with explicit escalation rules rather than pretending they don't happen.
Which languages and channels do you support?
Web, mobile in-app, WhatsApp, and telephone lines, in the major languages your customers use. Language coverage is confirmed per project during the spec stage against your actual customer base.
What happens when the bot can't help?
It hands off — to live chat, a ticket, or a warm phone transfer — with the full conversation context attached. Escalation design is part of the spec, not an afterthought.
Can it replace our existing IVR?
Usually, yes. A voice agent that understands natural speech replaces menu trees, and we integrate with your existing telephony rather than forcing a switch.
Start here

Have a use case in mind? Let's pressure-test it — free.

A 30-minute call with our engineers, not a salesperson. You'll receive an honest assessment of feasibility, a preliminary architecture, and a clear next step.

Book a free AI consultation