24/7 automated support across many platforms.

Questions answered 24/7.

Customers' questions answered in a second. Always available including off-hours and weekends. Less reasons for users to be unsatisfied.

Bot to human handoff.

Bot answers first. Determine handoff points to your support. Connect people from chat to your human support seamlessly.

Multi-platform support.

Accept incoming chats from Facebook, website chat, Slack. Handle human support from LiveChat, Intercom, Giosg, Zendesk, Salesforce, SAP.

Lower cost to serve. ROI calculator

Number of customer service employees

Case Studies

“AlphaBlues has made our customer service even more efficient with their artificial intelligence based solution“

– Lauri Haav, Head of Customer Loyalty

Business Issue
Monese is a revolutionary neo-bank founded with the ambitious goal of building a global instant-open bank account for the on-demand age. Monese was born from its founder’s painful experience when he was denied a bank account when he moved to the UK. With the Monese app, customers from all over Europe can open a bank account in as little as 120 seconds, free from the hidden fees and restrictions that legacy banks impose. Monese was the first 100% mobile bank account to ever launch in the UK. The company’s customer base is fast approaching six digits and customers are moving over 0.5€ billion annually. To handle the increasing amount of customer service requests from a growing customer base, Monese was looking to automate its core customer service chat.



To manage customer support more efficiently, AlphaBlues deployed its Virtual Customer Assistant (VCA) technology into Monese in-app customer support chat. The artificial intelligence based VCA was made the front-line customer service representative for the thousands of customer support requests each month. It was trained to automatically handle natural language and specific questions that customers have about Monese and its services.



  1. The Virtual Customer Assistant has had thousands of conversations with customers.
  2. The VCA has autonomously solved (i.e. without any human help) more than 15% of the customer service requests it has encountered.
  3. It works 24/7 and is available during off-hours with an instantaneous response time. The solution provides instant alerts to customer requests in case of urgent updates and service announcements.

“With the AlphaBlues artificial intelligence technology we have successfully brought our customer service into Facebook Messenger for a better user experience.”


– Liisa Ruusamägi, Client Communication Product Manager, LHV

Business Issue

LHV Group is the largest domestic financial group and capital provider in Estonia that is currently holding 2 billion euros of Estonian assets. LHV Group’s key subsidiaries are AS LHV Pank and AS LHV Varahaldus. LHV has representative offices in Tallinn and Tartu. The company employs over 300 people and has more than 5000 investors. LHV Bank services are used by more than 120,000 customers. Pension funds managed by LHV have over 175,000 customers and are the second largest in Estonia by volume. The company is one of the most innovative banks in the region and was looking for a new and efficient way to engage with their customers 24/7.



To bring their customer service into the messaging era, LHV turned to AlphaBlues and its Virtual Customer Assistant (VCA) technology. AlphaBlues worked with the bank to integrate their customer service knowledge base with hundreds of topics and intents into the VCA which was launched through the bank’s Facebook page onto Facebook Messenger. Artificial intelligence based training was used to increase the relevancy and accuracy of the VCA in order to allow for more self-service by the bank’s customers. The VCA was given a friendly persona and it was taught to understand free text and natural language so as to be able to help people with the wide variety of questions they might have.



  1. During the first weeks of the launch the Virtual Customer Assistant already handled more than a thousand customer conversations.
  2. More than 50% of the users have rated their experience with the VCA as useful and helpful in providing the answers they were looking for.
  3. The solution is available 24/7 and also during regular customer service off-hours providing automatic support to customers..



AlphaBlues makes customer engagement much more efficient with their Artificial Intelligence. A really smart solution.

Christoph Dassler

CEO, defacto nextperience GmbH, Germany.

Integrating our car sales service into messaging with AlphaBlues has brought us closer to our customers.

Eero Laitila

Digital Product Manager, Autotie.fi, Finland

Bringing customer engagement into Facebook Messenger is the next step in customer interaction.

Külli Koort

Head of E-Commerce, Baltika Fashion Group, Estonia.



Lightweight, scalable & highly customizable
chat automation platform.

Custom AI and Intent Training

In-house developed AI. No use of third-party systems. Tailor-made flexible algorithms. Semiautomatic initial question-intent matching.

Workflow Builder & Human Handoff

Build simple or complex chatbot workflows with our backend tool. Automated support capable of handing conversation to humans when needed.

Insightful Analytics

Learn what your customers are saying. Measure Virtual Agent's performance by the number of autonomously closed conversations.

Advanced intent discovery &
chat automation.

Scalable intent discovery pipeline.

  • Classify user input as matching an intent category.
  • Filtering, stemming and tokenization.
  • Keyword detection with tunable parameters.
  • Optimized machine learning ensemble.
  • Estimation of accuracy using k-fold cross-validation.

Action and workflow definition language (DSL).

  • Define message content: text, buttons (url), quick replies, images.
  • Connect actions into workflows using regex-based routing patterns.
  • Execute custom handlers.
  • Automatic fallback to intent discovery if input does not match routing patterns.

Dialogue and intent manager.

  • Trigger actions based on intents returned by the intent discovery pipeline.
  • Multiple intent support.
  • Intent confidence estimation.
  • AI feedback loop (continuously improve intent discovery based on user behavior).
  • User-specific state cache.
  • Update actions. Retrain intent pipeline and models.


Indrek Vainu

CEO. Sales, partnerships, product management. Ex-CEO at 70-person data science company. Speaker at tech and business conferences. Harvard educated. LinkedIn profile. Kitesurfing enthusiast. indrek.vainu (at) alphablues.com

Hendrik Luuk

CTO. Artificial Intelligence expert with deep knowledge in NLP, machine learning and deep learning. PhD in neuroscience. Published author. Member of award winning synth-pop band. hendrik.luuk (at) alphablues.com

Hannes Kinks

Machine Learning Engineer. MSc in Computer Science with a focus on Artificial Intelligence. Experience in back end and front end development. Likes tinkering with self-made hardware projects. hannes.kinks (at) alphablues.com

Dainis Rudzitis

AI Trainer. Several years of experience in leading customer support teams for corporate customers. Fluent in Spanish, Italian, English, Latvian and Russian. Former radio host. Opera aficionado.

Gabriel Zanko

Sales Manager, Latin America. Experienced fintech entrepreneur with a background in media and software business. Sales and partnership development. gabriel.zanko (at) alphablues.com

Mari Joller

Advisor. Product and business builder with over a decade of experience in digital and mobile services. Background from Nokia and Virgin Mobile. Harvard Business School graduate.

+372 53 430 781
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