Lvrai Launches AI Sales Infrastructure for service businesses, consultants and agencies. Across Latvia and Europe

Lvrai, an artificial intelligence company based in Riga, Latvia, has launched a fully automated AI sales infrastructure system designed to help coaches, consultants, and high-ticket service agencies eliminate manual lead handling, reduce response times to under 10 seconds, and fill their sales calendars with pre-qualified buyers automatically.
The system addresses three critical problems facing modern service businesses: leads being contacted too slowly after inquiry, sales teams wasting time on unqualified discovery calls, and advertising budgets that cannot scale due to broken lead handling operations.
"Most service businesses lose their best leads in the first few minutes after an inquiry simply because no one responds fast enough," said Edgars Lideks, Co-founder and Head of Sales at Lvrai. "We built a system that responds to every lead within seconds, qualifies them through intelligent AI conversations, and books only serious buyers into your calendar - completely automatically."
The LVRAI platform integrates directly with existing CRM systems, calendars, and Meta advertising accounts. When a new lead arrives from any source - a website form, a paid ad, or a direct message - the AI immediately initiates a qualification conversation, asking the same discovery questions a trained sales representative would ask. Leads that meet the client's qualification criteria are automatically booked into the sales calendar. Leads that do not meet the criteria are politely disqualified without requiring any manual intervention from the client's team.
LVRAI offers two service tiers. The Regular Plan provides AI lead qualification for businesses that already generate inbound leads. The Pro Plan adds full Meta advertising management, where LVRAI runs paid campaigns and feeds qualification data back into ad targeting algorithms to continuously improve lead quality over time - reducing cost per qualified call as the system learns.
The company is officially partnered with the Meta Conversion API, enabling every qualified lead's data to be processed and returned to the advertising algorithm to identify and target ideal client profiles with greater accuracy.
LVRAI serves high-ticket service businesses across Latvia, Estonia, Lithuania, and throughout Europe, with a primary focus on coaches, consultants, and agencies running or planning Meta advertising campaigns. The company delivers fully operational systems within two weeks of onboarding.
Founded by Kristians Veveris, Automation Architect, and Edgars Lideks, Head of Sales, LVRAI is headquartered in Riga, Latvia, and offers a free 45-minute AI audit call to help businesses identify where leads are being lost in their current sales process.
For more information or to book a free audit, visit https://lvrai.io/book-demo or contact the team at rjazanskis@lvrai.io.

ABOUT LVRAI:
LVRAI is an AI sales infrastructure company based in Riga, Latvia. The company builds automated lead qualification and pipeline management systems for coaches, consultants, and high-ticket service agencies across Latvia and Europe. LVRAI's systems respond to every inbound lead within 60 seconds, qualify prospects through AI-powered conversations, and deliver only serious buyers to the client's sales calendar - automatically, 24 hours a day. For more information, visit https://lvrai.io.

CONTACT:
Company: Lvrai
LinkedIn: https://linkedin.com/company/lvrai
Location: Riga, Latvia
Contact: Maksims Rjazanskis, Co-founder
Email: rjazanskis@lvrai.io

Lvrai
Krišjāņa Valdemāra iela 89, Rīga, 1013, Latvia

rjazanskis@lvrai.io
+371 29215679

LVRAI builds automated systems that respond to every inbound lead within seconds, qualify prospects through intelligent AI conversations, and book only serious, ready-to-buy clients directly into the sales calendar - 24 hours a day, without manual work. The company also manages Meta advertising campaigns for clients who want full pipeline automation, using qualification data to continuously improve ad targeting and reduce cost per qualified call over time.

This release was published on openPR.