March 15, 2026
InmoSaaS Platform Launch and AI Ecosystem Strengthening
This fortnight marked the full launch of InmoSaaS, our new real estate management platform, and significant improvements to our AI agents. We consolidated our technical infrastructure with unified APIs, advanced SEO, and auto-scaling protocols for greater robustness.
New Products and Platforms
- Complete launch of InmoSaaS: frontend with authentication, dashboard, and public SSR portal.
- AI Agents page with Jessie commercial plans (Starter, Growth, Scale) and Stripe integration.
- Addition of Bavelgo (SaaS for restaurants) to the public portfolio in 4 languages.
Advances in Artificial Intelligence
- Tifa deployed on sonholab.com with consultative sales skills and automatic lead registration.
- Jessie Admin v1 complete with intelligent onboarding (web scraping) and critical UX fixes.
- Automatic Sofia → Kender pipeline for bug auto-fix and error auto-escalation protocol.
Infrastructure and Experience
- Unified Brain REST API via HTTPS for centralized project and decision querying.
- Complete SEO with pre-rendering, dynamic meta tags, and Schema.org for 60 pages in 4 languages.
- Blog and Changelog migrated to PostgreSQL database with REST API for dynamic content.
March 15, 2026
Core AI Strengthening and Platform Expansion
This fortnight focused on consolidating the stability and capabilities of our AI core, Aeris, with a master quality plan and new memory architectures. In parallel, we made significant progress on two new SaaS products and improved automation across the ecosystem.
Aeris Architecture and Stability
- Granular Memory System v2.0 with 3 layers and intelligent recall.
- Quality Master Plan completed: circuit breaker, transactions, health checks, and more.
- Automatic Sofia → Kender pipeline for bug fixes and error auto-escalation.
Product Development and Launch
- Lead Hunter: Chrome extension + backend completed for automated lead capture.
- InmoSaaS: Complete multi-tenant platform with auth, property/agent CRUD, and public portal.
- Jessie Admin: Unified chat with intent detection and automatic scraping during onboarding.
Infrastructure and Dynamic Content
- Migration of Blog and Changelog to database with public REST API and admin.
- Registration and planning of the NVIDIA PersonaPlex voice project for future integration.
- 5 new integration proposals for World Monitor within the SonhoLab ecosystem.
November 3, 2025
Launch of New Multimodal AI Agents Platform with Advanced Computer Vision
At SonhoLab, we are revolutionizing business automation with the launch of our new multimodal AI agents platform. This solution integrates natural language processing, computer vision, and real-time predictive analytics, enabling companies to automate complex processes that previously required constant human intervention.
AI Agents with Computer Vision in Production
- Implementation of agents that process documents, images, and videos in real-time, automatically extracting structured information.
- Visual quality control analysis on production lines, identifying defects with 99.2% accuracy.
- Facial and object recognition for intelligent security systems with proactive alerts.
- Automatic processing of invoices, receipts, and tax documents with advanced OCR and contextual validation.
Intelligent Process Orchestration with Generative AI
- Conversational agents that execute complex workflows through natural language commands.
- Automatic generation of personalized executive reports with insights based on real-time data.
- Native integration with leading commercial and open-source language models for maximum flexibility.
- Autonomous decision system that continuously learns and optimizes processes without reprogramming.
Edge AI Infrastructure and Decentralized Processing
- Deployment of AI models on edge devices for local processing with ultra-low latency (< 50ms).
- Hybrid cloud-edge architecture ensuring data privacy and compliance with LGPD and GDPR.
- Intelligent synchronization between edge devices and cloud for federated learning and continuous improvement.
- Cloud computing cost reduction by up to 67% through strategic distributed processing.
October 15, 2025
Implementation of Cognitive RPA with Generative AI for Complex Process Automation
At SonhoLab, we launched our next-generation RPA (Robotic Process Automation) solution, combining traditional automation with generative AI and machine learning. This technology enables software robots to understand context, make intelligent decisions, and adapt to process variations without manual reprogramming.
Intelligent RPA with Natural Language Understanding
- Bots that interpret emails, documents, and messages in natural language to automatically execute appropriate actions.
- Intelligent extraction of unstructured data from PDFs, images, and web forms with 98.5% accuracy.
- Automation of approvals and decision-making based on dynamic business rules learned by AI.
- Integration with over 200 enterprise applications including SAP, Salesforce, Microsoft Dynamics, and legacy systems.
Multi-System Workflow Orchestration and Intelligent Monitoring
- Real-time dashboard with predictive analysis of bottlenecks and automatic optimization suggestions.
- Automatic anomaly detection and self-correction of processes with minimal intervention.
- Average 85% reduction in repetitive manual process execution time.
- Average ROI of 340% in 6 months with guaranteed payback in enterprise implementations.
September 8, 2025
Real-Time Data Analysis Platform with Machine Learning for Advanced Business Intelligence
At SonhoLab, we revolutionize how companies make strategic decisions with our new real-time data analysis platform. Combining data streaming, distributed processing, and adaptive ML models, we enable actionable insights in milliseconds, not hours or days.
Real-Time Data Pipeline with Predictive AI
- Data ingestion from multiple sources (APIs, databases, IoT, logs) with streaming processing using Apache Kafka and Spark.
- Predictive models that anticipate business trends, customer behavior, and operational risks with up to 94% accuracy.
- Interactive dashboards with dynamic visualizations automatically generated by AI based on business context.
- Proactive intelligent alerts that notify critical anomalies before they become problems.
Intelligent Data Lake and Automated Governance
- Lakehouse architecture that unifies data warehouse and data lake for frictionless SQL and ML analytics.
- Automatic data cataloging with AI-enriched metadata for facilitated discovery.
- Automated compliance with LGPD, GDPR, and SOC 2 through intelligent classification of sensitive data.
- Automatic cloud storage cost optimization with intelligent archiving based on access patterns.
May 15, 2025
We already operate with the latest technologies in artificial intelligence, automation, cybersecurity, and cloud computing, integrating them into real solutions our clients are already using.
At SonhoLab, we are proud to announce that we are already using the most advanced technologies in cloud computing and cybersecurity, integrating the latest industry trends to offer our clients robust, efficient, and secure solutions.
Zero Trust Architecture and Autonomous Security Implementation
- Adoption of the Zero Trust security model, based on the principle of "never trust, always verify," ensuring that every access to our systems is rigorously authenticated and authorized.
- Integration of AI-powered autonomous security systems that detect and respond to threats in real-time without human intervention, significantly improving our incident response capability.
Next-Generation Cloud Infrastructure
- Migration to multicloud and hybrid infrastructures, allowing us to operate with flexibility and resilience, quickly adapting to changing market needs.
- Implementation of vulnerability analysis tools and runtime protection, ensuring our applications and data are protected at all times.
Commitment to Sustainability and Innovation
- Optimization of energy consumption in our data centers, aligning with best sustainability practices and reducing our carbon footprint.
- Active participation in developing innovative solutions, collaborating with technology partners to always be one step ahead in adopting new technologies.
May 1, 2025
We're Already Using MCP: Persistent Context for Truly Intelligent AI
At SonhoLab, we have already integrated the new Model Context Protocol (MCP) as part of our artificial intelligence architecture, allowing us to build smarter, contextual, and persistent agents. While others are just discovering this innovation, we already have it in production.
What We're Doing with MCP
- Our agents now maintain interaction context between sessions, without the need to retrain or reset information.
- With MCP, AI decisions are more coherent because the model understands who you are, what you've done before, and where you're going.
- We use MCP to connect multiple data sources and maintain distributed user memory across systems.
- We've combined MCP with our n8n automations, enabling truly personalized and persistent conversational flows.
- Applied in sales, support, education, and internal agents, where remembering history improves experience and efficiency.
March 31, 2025
We Adopt Copilot Studio's New Enterprise Features: AI Automation to Another Level
At SonhoLab, we have already adopted the latest enterprise functionalities of Copilot Studio, reinforcing our commitment to innovation and intelligent process automation. This update marks a significant leap in how we design and deploy conversational agents capable of interacting with real enterprise systems, making decisions, and executing tasks across multiple channels.
Key Changes We're Already Implementing:
- Direct integration with enterprise sources like SAP, Microsoft 365, and internal databases, enabling copilots that understand real business context.
- Advanced automation with conditional flows, custom logic, and operational rules, without the need for complex code.
- Use of Copilot Studio for agents in Teams, WhatsApp, and internal applications, accelerating service, support, and sales.
- Robust access control and traceability, with monitoring of every action executed by copilots in production environments.
- Environment extension with custom connectors, including interactions with CRMs, ERPs, and external APIs as needed.