Real projects, real results. See how we solve AI integration challenges for enterprises.
How agentic merge request review with verified citations moved the baseline review into CI on an enterprise AI-agent platform.
Multi-layer vulnerability detection combining static analysis with LLM validation for enterprise code review.
RSS monitoring, relevance scoring, and AI draft generation for consistent multi-channel content.
Human-in-the-loop system for discovering leads and drafting authentic responses on Reddit.
Two-layer architecture combining regex patterns with Swiss LLM for contextual PII detection.
Production-ready long-term memory with hybrid search, temporal intelligence, and smart context assembly.
Knowledge graph approach to AI memory with explicit relationships and human-readable retrieval.
MCP server enabling AI agents to maintain persistent goals and track progress across sessions.
Unified interface for 21+ AI models with native MCP support and agent orchestration.
39+ analysis tools bringing technical analysis, screening, and backtesting into natural dialogue.
Daily arXiv and Semantic Scholar monitoring with AI summarization and Telegram alerts.
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