Meet Sofia.
LABORYA builds digital teammates for small businesses — starting with Sofia, who answers, books and follows up with customers over WhatsApp, and never sleeps.
We turn repetitive manual work into humanized, automated and measurable execution.
For many local businesses, the biggest problem is not lack of demand. It is operational overload. Business owners spend hours every day answering WhatsApp messages, confirming appointments, handling cancellations, repeating prices, updating spreadsheets, checking payments and trying to understand their own numbers.
Every unanswered message can become a lost customer. Every missed follow-up can become lost revenue. Every manual process becomes a hidden cost.
But business owners cannot stay on the phone all day.
Appointments, confirmations and cancellations quickly become hard to manage.
Client history, service records, payments and insights are often split between WhatsApp, calendars and spreadsheets.
Many small businesses only understand what happened after the month is already over.
Sofia is an AI business assistant designed to work inside the channels small businesses already use — starting with WhatsApp.
She talks to customers naturally, answers questions, helps with bookings, confirms appointments, sends reminders, supports post-service workflows and records operational data that can become business intelligence.
Sofia is not a generic chatbot. She is a specialized digital worker designed for real business routines.
See how Sofia worksLABORYA combines conversational AI, workflow automation and business context to create digital workers that can execute real tasks. Sofia connects customer conversations, calendars, forms, spreadsheets, automations and business rules into one operational flow.
A customer sends a message through WhatsApp.
Sofia understands the request, the context and the business rules.
She helps answer, schedule, confirm, remind, register or trigger the next step.
The business owner receives the information needed to stay in control.
Daily operations become structured data for better decisions.
LABORYA starts where the operational pain is obvious: beauty salons, aesthetics professionals and appointment-based local service providers. These businesses rely heavily on WhatsApp, personal relationships, recurring customers, appointments, cancellations, service history and financial discipline. That makes them ideal for specialized AI workers.
Reduce the hours spent answering repetitive messages and managing manual scheduling.
Respond faster to potential customers and reduce lost bookings caused by delayed replies.
Use confirmations, reminders and business rules to improve attendance.
Reactivate inactive customers, send birthday campaigns and personalize communication.
Turn daily operations into structured data for financial and commercial insights.
Sofia does not replace the professional's identity. She extends it.
Most AI tools stop at conversation. LABORYA goes further. We design AI workers that understand business context, connect to workflows and help execute real operational tasks. Our mission is to make advanced AI useful for the businesses that need more execution capacity, but do not have large teams, complex systems or technical departments.
We create agents for specific business contexts, not generic assistants.
We start where customers and SMEs already communicate.
The experience is designed to feel natural, not robotic.
Agents are connected to real workflows, not isolated chat windows.
Customer history, rules and operational data improve the experience over time.
The focus is not only technology. It is implementation, adoption and measurable value.
LABORYA's long-term vision is to create a portfolio of specialized AI workers for different business functions. Sofia starts with customer communication, scheduling and local business operations. The same approach can expand into sales, support, finance, operations and HR.
Customer communication, scheduling and local business operations.
AI worker for lead follow-up, qualification and sales support.
AI worker for customer service and FAQ handling.
AI worker for financial organization, reporting and business insights.
AI worker for internal workflows, task tracking and operational routines.
AI worker for recruitment support, onboarding and internal documentation.
Roadmap concepts are under development and may evolve based on customer validation and strategic partnerships.
LABORYA aims to become a real-world implementation layer for AI agents in Portuguese SMEs. As platforms like TESS accelerate the creation of autonomous agents, LABORYA can help bring those capabilities into practical business contexts: WhatsApp-first workflows, local service operations, customer communication, sales automation and SME adoption.
Build a real AI Workforce case study with Portuguese SMEs.
Provide product feedback from real-world SME implementations.
Create repeatable agent templates for sales, support, operations and finance.
Produce case studies, tutorials and business-oriented implementation content.
Translate advanced AI capabilities into practical workflows for Portuguese businesses.
Explore a future implementation partner model for Portugal and the Iberian market.
LABORYA is not starting from a blank page. The company already has structured documentation covering strategy, product vision, sales materials, technical architecture, marketing assets, investor materials and operational data models.
We are building with structure from day one.
Beauty salons, aesthetics professionals and appointment-based service providers.
Small and medium businesses that need automation without complex software.
AI platforms, accelerators and technology companies looking for real implementation use cases.
Early-stage investors interested in AI Workforce, vertical SaaS and practical automation for SMEs.
LABORYA is looking for early partners, technology platforms, accelerators and forward-thinking businesses that want to explore practical AI Workforce implementation. If you are building, investing in or adopting AI agents for real businesses, we would love to talk.