From complex challenges to intelligent solutions.

We partner with forward-thinking companies to define what comes next, combining strategic intelligence, advanced technology, and operational execution, using artificial intelligence.

Book a call Areas of work
AI agents and automation01 / 05

Six areas. In each one we know what happens in month three.

Our catalog includes only the things we're genuinely good at — and to this day, we haven't met a single company that couldn't benefit from them.

Alpinium is a company specializing in building AI systems and consulting businesses on how to implement them. We strongly believe that this is the direction the world is headed in this moment and we are offering you a chance to ride the wave. We guarantee that we can solve your problem, so freely reach out to us. Or simply see what we do below.

Customer contactWEBEMAILCHATSOCIALAGENTKNOWLEDGEANSWERHUMAN

One agent across every channel your clients already use. It answers strictly from your sources, recognises the edge of what it knows, and hands over to a person with the full context.

Knowledge baseEvery channelHuman handoverAnalytics
Voice operationsCALLAGENTCALENDARCRMCONFIRMED

A voice layer connected to your exchange. It holds the conversation, works in the calendar and CRM during the call, and transfers to an operator on rules you set.

Telephony / SIPCalendarRemindersCall transcript
Commercial operationsFORMCHATCALLSCORINGCRMMEETING

The path from first enquiry to booked meeting with nothing retyped. The system recognises who is seriously buying and proposes a time while the interest is still fresh.

QualificationCRMOutreachScheduling
Process & back officeDOCUMENTSYSTEMPROCESSINGREVIEWAPIDATABASEREPORT

The work done the same way, by hand, every day. Rules run as automation, judgement goes to the model, and every step leaves a trail that can be audited.

RPAIntegrationsDocument processingReporting
Bespoke architectureERPCRMINTEGRATIONSERVICESDATAENVIRONMENT

We design the system before the first line of code: the data model, the boundaries between services, how it connects to the systems you already run, and where all of it lives.

Data modelIntegrationsYour infrastructure
AI-native softwareSCREENAGENTAPILOGICDATAACTION

We build software and applications to current standards — designed so that they are fully available to artificial intelligence. Anything a person does through the screen, an agent can do through the same API.

API-firstAgent layerWeb and mobileDocumented interface
In detail
Voice AI agents02 / 05

A voice layer engineered as infrastructure.

The voice agent answers the calls, holds a conversation in any language, acts inside your systems, and hands the call to a person when it should.

ConnectionSIP trunk, VoIP PBX or a dedicated numberThe connection is fitted to your existing telephony.
LanguagesAll languagesLanguage detected during the conversation.
ActionsCalendar, CRM, database, email and any system with an APIThe agent doesn’t just talk — it finishes the task during the call.
HandoverTransfer to an operator, with contextThe person picks up without asking the same questions again.
RecordRecording, transcript and outcome of every callAll measurable, all auditable.

The same layer scales from a single line to a contact centre — the architecture doesn’t change, only the number of concurrent calls.

Example call flow illustration
AlpiniumGood afternoon, Vektor clinic. How can I help?
CallerI’d like to move the appointment I have tomorrow at ten.
AlpiniumI can see it — tomorrow at 10.00. I have 13.30 or 16.00 free.
CallerLet’s make it four.
AlpiniumMoved to 16.00, confirmation sent by text. Anything else?
IntakeRecognitionAgentToolsSpeech
How we deploy AI systems03 / 05

Four steps, with no surprises in the middle.

Engagement that fits the client’s deployment scale and its security requirements. Straightforward systems for smaller operations, and technical assessments for large-scale projects.

01

Conversation and assessment

We look at how the process actually runs today — who does what, where time is lost and what data already exists. Out of that comes a short list of what makes sense to automate first.

02

Proposal and scope

You get a document with the solution architecture, integrations, timeline and price. It also states what the solution will not do — often the more important part.

03

Build and rollout

We build, test against your real cases and roll out gradually — supervised first, then fully live. Your team gets training and documentation.

04

Monitoring and evolution

We watch the system, measure it and improve it. When a better model or capability appears, we move you onto it without downtime.

Operating standard04 / 05
01 h The window in which we answer every enquiry, every day of the week.
02 d The shortest path to a first system in use. Larger projects get their own deadline — before signing, not after.
03 /7 Monitoring of live systems. We see and fix failures before you notice them.
04 GDPR · NDA Minimal data access, encryption and a clear agreement on where data lives and who can reach it.
AI systems in production05 / 05

„Delivered well ahead of the agreed deadline, not to mention the excellent quality of the system they built — highly recommended. Promised, then delivered."

DN David NikčevićCo-founder & CEO · Konkvest Case study

Tell us where it breaks.

The first conversation is free and takes as long as it needs. If AI isn’t the right tool for your problem, we’ll say so straight away.

Book a call Who we are