SolidAIX focuses on AI solutions that deliver measurable outcomes: less manual work, faster processing, better control, and smarter operations. We specialize in LLM-powered assistants and RAG systems that work with documents, knowledge bases, and internal business data. We integrate AI into existing platforms or build AI-driven products from scratch — with engineering quality, security, and long-term maintainability.
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AI becomes valuable when it is implemented as part of a business workflow — not as a standalone experiment. SolidAIX helps companies embed LLM and RAG functionality into platforms, internal tools, mobile apps, and enterprise systems, ensuring the solution is stable, secure, and aligned with operational goals. We work across the full delivery cycle: discovery, data preparation, retrieval design, model integration, system architecture, UX/UI, development, QA, DevOps, and post-launch support. Whether you need intelligent document processing, semantic search, knowledge assistants, recommendations, predictive analytics, or automation — we build AI features that work reliably in production.
We automate repetitive business operations using AI-driven logic and workflow orchestration. This reduces manual effort, speeds up processing, and improves control over complex tasks. Automation can include approvals, classification, routing, and AI-based decision support.
We build LLM-powered assistants that help teams work faster and provide more consistent support. Assistants can answer questions, generate structured responses, summarize cases, and guide users through processes. We focus on reliability, secure access, and predictable behavior in production.
We design RAG systems that connect LLMs to internal documents and knowledge bases. This allows AI to answer using company-approved sources, not generic internet knowledge. We build scalable pipelines for ingestion, indexing, retrieval quality, and permission-aware access.
We build document processing solutions that extract structured data from invoices, contracts, forms, and reports. This includes OCR, entity extraction, classification, and validation logic. The result is faster processing, fewer errors, and smoother integration with ERP/CRM systems.
We integrate neural models into existing products and enterprise platforms without disrupting current workflows. This includes API-based model access, secure deployment, and performance optimization. Our goal is to make AI a stable system component — not a fragile add-on.
We build recommendation engines that improve user engagement and conversion through personalized content and product suggestions. This can include ranking logic, similarity models, and behavior-based recommendations. Solutions are designed to scale with real production traffic and evolving data.
We implement semantic search that understands intent and context, not just keywords. This helps teams find the right documents, records, and answers faster. It can be used as a standalone feature or as the retrieval layer for RAG solutions.
We build models that forecast trends, detect anomalies, and highlight risks in business operations. This helps teams react faster and prevent costly issues. Use cases include finance, logistics, customer behavior, system monitoring, and fraud detection.
We create dashboards enhanced with AI insights, summaries, and automated reporting. This helps teams understand what is happening in real time and make better decisions. AI can highlight anomalies, explain changes, and generate recommendations based on live data.
Build LLM and RAG functionality that integrates cleanly into real business workflows.
Describe your business process or system where AI could add value. SolidAIX will review your request and propose a practical implementation plan.
