Solomon Protocol is an AI-powered job search platform that evaluates job opportunities from the perspective of sovereign values and protection against predatory recruiters and fake offers.
Developed by Q2BSTUDIO, a custom software and application development company specializing in artificial intelligence, cybersecurity, and AWS and Azure cloud services, Solomon combines real-time offer aggregation, ML-based recruiter analysis with legitimacy scoring, a community voting system for collective intelligence, and market volatility tracking for strategic job searching.
Architecture and technologies: frontend with React, backend with Node.js, and intensive use of Redis 8 as the core of real-time AI operations. RedisAI is used for tensor inferences applied to recruiter scoring and detection of suspicious profiles, achieving millisecond executions and maintaining latencies below 200ms for complete analyses.
Semantic search and recommendations: we store embeddings of offers and recruiters as tensors and leverage Redis Vector Similarity Search for recommendations of similar jobs aligned with candidate values. This enables real-time recommendations and reduces calls to external job portal APIs by more than 70 percent.
Fraud detection and ecosystem health: we combine ML models with Redis probabilistic structures such as Bloom filters to identify emerging scam patterns, HyperLogLog for cardinality estimation, and TimeSeries to preserve historical market metrics. TTL expiration and atomic updates with RedisJSON are implemented for collaborative voting systems.
Voting system: users and the trust council can vote on offers and recruiters. Data is stored in RedisJSON and updates are performed atomically. 24-hour voting windows with automatic expiration are established to ensure freshness and relevance.
Performance and results: model inferences in less than 5ms on average, accuracy above 95 percent in detecting fake recruiters in test scenarios, more than 5,000 embeddings processed per minute, cache hit rate above 98 percent, and voting system latency below 100ms.
Enterprise integration and Q2BSTUDIO services: we offer custom software development and custom applications for companies that want to transform processes with artificial intelligence. Our services include consulting and deployment on AWS and Azure cloud services, cybersecurity solutions, business intelligence services, and Power BI implementations for visualization and advanced analytics.
AI for businesses and AI agents: we design specialized AI agents to automate workflows, improve fraud detection, optimize recruitment processes, and enhance decision-making with supervised and unsupervised learning models. Our artificial intelligence solutions integrate security and scalability practices in the cloud.
Use cases: employers and candidates use Solomon Protocol to find matches that respect personal values, avoid scams, and prioritize offers with integrity. Business intelligence teams leverage time series and vector recommendations to anticipate market trends and adjust hiring strategies.
Benefits for clients: rapid custom software implementations, integration with CI CD pipelines, deployment on AWS and Azure cloud services, cybersecurity support to protect sensitive data, and Power BI-based dashboards for continuous monitoring of KPIs and ROI of artificial intelligence projects.
Demonstration and code: working demo available at https://youtu.be/DcrJQhsaJMM and technical repository at https://github.com/LooneyRichie/Solomon-Protocol for those who wish to review architecture and integrations with RedisAI and other components.
Why choose Q2BSTUDIO: we are a team focused on delivering real and measurable solutions. If you are looking for custom software, custom applications, applied artificial intelligence, cybersecurity, business intelligence services, AI for businesses, AI agents, or Power BI, we offer experience and commitment to execute projects from conception to operation.
Contact and collaboration: Q2BSTUDIO is open to collaborations, hires, and commissioned projects. We can adapt Solomon Protocol or create new solutions that integrate Redis 8, RedisAI, data pipelines, and cloud deployments to maximize performance and security.
Solomon Protocol demonstrates how Redis 8 can transcend its role as a cache to become a real-time AI execution platform. By combining RedisAI tensor operations with native Redis structures, we deliver tools that help users build a career with integrity, protect their energy, and find opportunities that honor their values.
