Conversational AI since 2017

Communication automation
in messengers

Build AI bots from rules and scenarios. Use AI for complex questions and knowledge-base answers

0

Conversations automated

0 second

Customer response speed

0 %

Of requests Lia closes without an agent

x0,0

Reduction in support payroll

A virtual operator that takes support off your team

It joins your chats and closes customer requests, so operators keep their time for the hard cases.

Reads intent, not keywords

Catches what the customer means, typos and free phrasing included, and steers the chat down the right path.

Lia vs. other solutions

Human

  • Adapts on the fly — but holds a limited number of parallel conversations
  • Understands everything — depends on knowledge and mood
  • Most expensive resource; scaling means hiring

Lia

  • Handles most requests instantly, 24/7
  • Reads the customer accurately, solves typical and complex cases via AI and your knowledge base
  • Cuts payroll 2.5×, scales to any volume

Scripted bot

  • Answers only rigid, pre-defined questions
  • Misses nuance, useless off-script
  • Cheap for trivial tasks, rigid to change

The bot takes routine requests off your team

Resolves up to 80% of requests without an operator. Your team keeps time for complex cases and burns out less.

CR up to 50%

Support costs

The bot handles routine chats on its own and cuts the cost per request.

CSAT up to 20%

Customer satisfaction

Replies in a second around the clock, with no queue and no sick days.

CCR up to 15%

Customer churn

A fast reply to every request keeps customers in the service.

Platform
components

With an intuitive builder and powerful AI, you'll steer every conversation and resolve customer questions with precision

Conversation-flow builder

Compose support flows in a drag-and-drop builder. Add NLU and LLM, configure routing, run JS code.

Drag-and-drop scenario builder: intent triggers, text snippets, actions, reactions

Typical requests — in one second

NLU recognizes customer intents and entities — answers typical requests in a second, without expensive LLMs. Models hold 500 RPS and don't need retraining.

List of intents with training phrases and variation counts

Emotion, context, and intent — precisely

LLM handles the second line: complex questions, off-script wording, edge cases — answers come out sharper.

LLM block configuration: model, prompt, temperature, timeout

Transparent conversation tracing

Tracing follows the full path of a message through the system. You see which scenario blocks fired and why.

Conversation tracing: chat, scenario, entities, facts, request logs

Answers from your knowledge base

RAG answers complex questions against your documents. Entities and parameters are extracted from the conversation on the fly.

Build a bot for any support job

From a button menu to scenarios that branch and adapt to the conversation.

01

Simple

Button and Q&A bots in a drag-and-drop builder. Menus, FAQs, routing across support lines — assemble and test a hypothesis in hours.

02

Advanced

The bot understands a request in the customer's own words, pulls the data it needs, and steers each dialog down the right path. Scenarios branch without limits, and routine requests come off your operators.

03

Dynamic

The bot adjusts its replies by time and date, reacts when an external system goes down, and pulls live data from your CRM and databases into the conversation.

Estimate the savings from automation

from ₽3.5 per dialogue

Expected annual savings

What industry are you in?

Pick a department

What you get after launch

A bot built for your business

Tuned to your inquiries, product, and voice — not a template.

Channels connected

Website and messengers — customers reach you where they already are.

CRM integration

The bot sees tickets and history, hands off to an operator with full context.

Team training

We show your team how to edit answers and flows without developers.

A dedicated manager

One contact runs the launch and stays with you after.

Clear analytics

Conversation dashboards: what the bot closed, where it handed off.

Custom flows

The bot guides each customer by your rules — from first question to request.

How to get started

About a week from start to launch. No resources needed from you — we handle everything.

  1. 01

    Project kickoff

    Kickoff call: we meet, align on expectations, and set up the project environment.

  2. 02

    Support audit

    We map your infrastructure, message history, channels, and chat solutions. AI groups requests by meaning — so it's clear what to automate first.

  3. 03

    Labeling

    Analysts and copywriters prepare Lia's logic based on the audit.

  4. 04

    Chat-solution integration

    We connect and test Lia with your chat and channels.

  5. 05

    Scenario development

    Analysts, copywriters, and developers assemble the dialog scenarios.

  6. 06

    Tuning

    We refine the logic, copy, and integrations to the required accuracy.

  7. 07

    Testing

    We test every module, make fixes, and sign off with you before launch.

  8. 08

    Launch

    We go live on the chosen channel at the agreed time. Active monitoring for the first 48 hours.

More capabilities

Near-human Russian comprehension

Reads meaning, slang, and typos — answers the actual request.

30 chat platforms and messengers

Connects to 30 chat platforms and messengers — omnichannel, from one place.

Extracts data from a conversation

Pulls phone, order number, or geo from the chat and routes it to the right scenario.

Unlimited branching

Runs a dialog tree of any depth — no cap on the number of branches.

Decisions on numbers

Dashboards and funnels over conversations, raw-data export — decisions on numbers, not hunches.

Auto-tagging for conversations

Tags every conversation for analytics, sorting, and search in external systems.

BI-system integration

Streams raw conversation data into your BI system.

NPS surveys on demand

Collects the customer score during or after the conversation.

Answers by time, date, or timer

Replies on schedule — by date, time of day, or a delayed timer.

Answers emails from your knowledge base

Works beyond messengers, in email too.

Scenarios for outages

Fires a scenario on a critical event or an external-system failure.

Start in your usual channel

Run Lia where your customers and agents already communicate. We handle seamless integration with leading communication platforms

Trusted by market leaders

"

In our first month with the Lia team we hit 51.2% coverage. A year later it grew to 78.61%, with intent-recognition error below 5%.

Katerina Kozina

Katerina Kozina

Head of Quality Control

"

We set up smart routing by topic and country. We answer instantly — even questions like why we cook without gloves and don't include napkins :)

Aleksandr Shalamov

Aleksandr Shalamov

Support Chat Lead

"

Lia is a full-fledged member of the Localrent support team. Customers notice it, and the team feels meaningful relief on FAQs. Lia keeps us in touch with customers through the night so our specialists can recover.

Daria Churakova

Daria Churakova

Deputy Head of Support

"

Burnout from chat volume is down, and the team is more engaged in actually solving cases.

Ruslan Mamrukov

Ruslan Mamrukov

Head of User Support

"

Lia helps us stay close to our customers and always reach them in time. Response speed is critical in kick-sharing, and Lia clearly makes us faster.

Vlad Pak

Vlad Pak

Head of User Support

80

Of requests automated

%
10

Saved per request

RUB
80

Saved per request

%
80

Of requests automated

%
63

Of requests automated

%
x2.5

Saved per request

47

Faster issue resolution

%
x5

Faster issue resolution

59

Of requests closed by the bot

%
x3

Saved per request

How does integration work?
There are two integration points. First — the system you use to talk to customers (CRM or chat platform). Second — your internal services: CRM, admin panels, knowledge base.

Depending on your stack, Lia either connects directly to your CRM via API or plugs into your chat platform (e.g. Webim), which already receives messages from Telegram and WhatsApp. Nothing changes for the customer — they keep messaging in their usual channel.

Chat-platform integration is fully on us — no engineering effort required from your team.
Can Lia send outbound messages?
Yes — when paired with a webhook trigger. For example: by timer or on an event from your CRM.
What's the neural network built on?
The core is built on BERT (originally from Google), but that's only one piece — multiple tools work together at Lia's core. Python ties them together, letting us compose many blocks into a single system.
Where exactly are neural networks used?
Neural networks sit at the intelligence core of the Lia platform and process customer text in several places:

Request clustering: groups large volumes of similar requests by topic, helping you analyze them and surface the dominant queries.

Request classification (with LLMs): identifies the topic, intent, or category of every incoming request — for instant, correct routing.

Knowledge-base answer generation (LLM-powered): understands the customer question, finds the most relevant knowledge-base entry, and produces a precise, natural answer.
Which languages does Lia support?
We focus first on Russian. We can also enable: English, Portuguese, Spanish, Chinese, Dutch, French, German, Italian, Japanese, Turkish.
How does Lia handle typos?
Lia recognizes text well even when the request contains errors. We deliberately avoid spell-correction so we don't introduce extra changes into the user's message. Instead, Lia reads the semantic vector of the whole sentence — including typos. In practice this gives the best result.

Worth noting: when we cluster the corpus, frequent typos cluster too — which lets us identify meaning even more accurately despite imperfect spelling.
What's the maximum load?
Lia already handles tens of thousands of messages per minute, and the architecture scales to multiples of that — distributing load across nodes.

Questions left?

Book a free demo and see how Lia helps solve your business challenges.