Automate communication with your customers

With AI tools that understand customers and help your team do more

0

Conversations automated

0 second

Average response time

0 %

Of requests Lia closes without an agent

x0,0

Reduction in support payroll

When
we need to cut payroll

−80% of requests without an agent
Read case
01 — 05

Reduce agent load

Lia closes up to 80% of requests without a human agent. Support team payroll drops by up to 2M ₽ a year — without losing quality.

02 — 05

When customers can't wait a second

Lia answers in under a second, 24/7, no queue. CSAT and NPS go up, churn goes down — answers instead of waiting in a chat.

03 — 05

When growth outpaces hiring

The platform handles 10,000 requests per minute. Seasonal peaks and step changes ride out without rushed hiring or temp training.

04 — 05

When your best agents burn out on routine

Routine moves to the AI; agents work the complex cases. Burnout and churn fall, engagement rises — strong specialists stay on the team.

05 — 05

When customer requests hide growth opportunities

Sentiment analysis and tagging on 100% of conversations. See real customer pain, reactions to features, and growth points — support becomes a product-insight engine.

Read case

Communication for every business

Talk to customers in any vertical. Lia adapts to your industry's specifics with ready-to-deploy patterns.

Insurance read case Logistics read case Banking read case iGaming read case Foodtech read case Travel read case Mobility read case E-commerce read case

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 an AI teammate goes live

01 — 05

Create an AI agent from a template

Lia ships ready-built agents for every business area

02 — 05

Connect your data sources

Files in PDF, Word, HTML, JSON, or APIs from your CRM/document systems.

03 — 05

Configure automation

Tweak the agent's logic to get the right outcome

04 — 05

Connect a communication channel

Channels where the requests land: chats, email, messengers, or telephony

05 — 05

Test and ship

Review the result and adjust to maximize impact

Review the result and adjust

How does integration work?
There are two integration points. First — your omnichannel solution. Second — your internal services, admin panels, CRM, and similar.

Connectivity options:
1) Lia — API — your CRM — Telegram, WhatsApp.
2) Lia — Webim interface — your Webim — Telegram, WhatsApp.

Chat-platform integration is fully on us — no engineering effort required from your side.
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.