Explore SocTect's portfolio of agentic quantitative strategy generators, real-time NLP sentiment pipelines, and self-operating code refactoring agents.
Autonomous AI Strategy Generator & Quantitative Backtest Engine
An autonomous multi-agent quantitative studio that discovers alpha patterns, writes production-ready Backtrader Python strategies, and runs high-precision historical market simulations.
Real-Time SEC Filings & News Sentiment Pipeline
High-throughput NLP pipeline that scrapes and analyzes 10-K, 10-Q SEC reports, financial press releases, and Twitter/X streams to forecast intraday volatility and sentiment shifts.
AST Scanning & Pull Request Auto-Refactoring
An autonomous agent integrated into GitHub/GitLab CI/CD. It inspects Abstract Syntax Trees (AST), detects memory leaks, verifies OWASP vulnerabilities, and auto-generates pull request fixes.
Self-Healing Kubernetes & Telemetry Anomaly Detection
An autonomous infrastructure agent that continuously monitors Kubernetes clusters, detects telemetry anomalies via Prometheus/OpenTelemetry, and executes zero-touch automated remediations.
Consensus Synthesis Across Millions of ArXiv Papers
Multi-agent autonomous committee that conducts in-depth literature surveys across ArXiv, GitHub repositories, and patent databases to produce verified comprehensive technical reports.
Bytecode Symbolic Execution & Flash-Loan Exploit Simulator
An AI security agent specialized in EVM bytecode symbolic execution, reentrancy detection, and simulated flash-loan attack vectors on Ethereum, Arbitrum, and Solana protocols.
Need tailored multi-agent workflows, specialized LLM fine-tuning, or private on-premise deployments? Get in touch with our AI systems architects.