Intelligent Automation & Autonomous Agentic Systems

Intelligent Automation & Autonomous Research

Intro

We build autonomous agentic systems that go beyond simple task automation to perform complex, continuous research and data analysis. Our philosophy is to create "virtual analysts" that operate 24/7, independently gathering, processing, and summarizing information from both the public internet and your private data sources. This isn't about replacing human experts; it's about augmenting their intelligence with tireless, scalable AI capabilities to accelerate decision-making from days to minutes.

The Code 0 Advantage: From Automation to Autonomy

A large central node representing orchestration mastery with smaller nodes connected to it.

While traditional automation executes predefined steps, our autonomous systems can reason, plan, and adapt. We build for reliability and trust.

Orchestration Mastery: We use n8n to build visually transparent and robust workflows, ensuring that complex business logic is maintainable and auditable, not buried in thousands of lines of code.
Verifiable AI: Our research agents are built for "glass box" operation. Unlike consumer chatbots, every claim and summary is backed by verifiable citations, tracing information back to its source to ensure accuracy and build trust.
Deep Integration: An agent is only as good as its tools. We specialize in providing agents with secure access to your internal systems—asset databases, ticket systems, private code repositories—allowing them to perform actions, not just provide reports.
Self-Correction & Healing: We design agentic loops with validation and error-handling, allowing them to recognize a failed step, adjust their plan, and retry an operation, leading to far more resilient automation.

Technical Deep Dive: Architecting the Virtual Analyst

The Orchestration Layer: n8n

We use n8n as the central nervous system for our automation platforms. Its node-based, source-available framework allows us to design, visualize, and manage complex, event-driven workflows that connect disparate services (APIs, databases, message queues). This is superior to simple scripting for business-critical automation because it provides a clear, auditable map of the entire process.

Autonomous Agent Architectures

For tasks requiring dynamic reasoning, we deploy autonomous agents. We build custom agents using frameworks like LangChain and CrewAI, or deploy self-hosted research platforms like Perplexica with SearXNG for private, unbiased web access.

Concept	Description	How We Use It
Reasoning Engine	An LLM (e.g., Llama 3, Mixtral) that acts as the agent's "brain", breaking down complex goals into logical steps.	We select the optimal model for the task, balancing speed, cost, and reasoning capability.
Tool Use (APIs)	The agent is given a curated set of "tools" (functions) it can call, such as `web_search`, `query_database`, or `create_jira_ticket`.	We build custom, secure tools that allow agents to interact with both public APIs and private, internal systems.
Agentic Frameworks	Frameworks like `CrewAI` allow us to create "swarms" of specialized agents that collaborate. An example is a "Researcher" agent that finds data, a "Writer" that drafts a report, and a "Validator" that checks for errors.	We design multi-agent systems to tackle complex problems, ensuring higher quality results through specialization and collaboration.
Memory & State	The agent's ability to remember previous steps, results, and conversation history to inform its next actions.	We implement both short-term (in-memory) and long-term (vector database) memory for our agents, allowing them to learn from past interactions.

Use Cases

A dark web of nodes illustrating complex data gathering for business and security intelligence.

Cybersecurity (Proactive Vulnerability Management): An n8n workflow is triggered by a new CVE alert from VulnCheck. The workflow dispatches a research agent to: 1) gather details on the CVE, its exploits, and mitigations. 2) The agent then connects to the internal asset management database via a secure tool to check which company systems are running the vulnerable software. 3) Based on the findings, a specialized LLM drafts a context-aware security advisory with a priority score. 4) The workflow automatically creates a Jira ticket, assigns it to the relevant system owner, and posts the high-level summary to Slack. This reduces the mean-time-to-remediate (MTTR) for critical vulnerabilities from days to minutes.
Intelligence (Automated OSINT): A system continuously monitors specific Telegram channels, dark web forums, and cryptocurrency transaction wallets. New posts or transactions trigger an agent that extracts data, translates it, and performs entity recognition (people, places, organizations). It then uses a graph database tool to update a network map of connections between entities. If the agent detects a pattern matching a predefined threat profile (e.g., a known threat actor discussing a client's infrastructure), it generates a high-priority alert for a human analyst, complete with the full data trail and a summary of the inferred threat.
Business Intelligence (Automated Competitive Analysis): A daily workflow scrapes key competitor websites. A vision-capable model analyzes screenshots for visual UI/UX changes, while an LLM summarizes text and HTML changes. The agent categorizes the findings (e.g., "New Product Launch," "Pricing Change," "Executive Team Update") and generates a concise daily briefing, which is emailed to stakeholders and archived in a structured database for trend analysis.

Example: n8n Workflow for CVE Analysis (Detailed)

This JSON represents a more detailed and realistic n8n workflow. It includes custom functions and conditional logic, showing how different services and agents are orchestrated to automate a complex cybersecurity task from detection to remediation ticketing.

cve_analysis_workflow.json

{
  "nodes": [
    {
      "parameters": {"url": "https://vulncheck.com/feeds/latest-cves.rss"},
      "name": "Trigger: New CVE in RSS", "type": "n8n-nodes-base.rssFeedTrigger", "position": [200, 300]
    },
    {
      "parameters": {
        "functionCode": "const cveId = item.json.title.split(' ')[0]; return [{ json: { cve_id: cveId, summary: item.json.description } }];"
      },
      "name": "Extract & Format CVE", "type": "n8n-nodes-base.function", "position": [450, 300]
    },
    {
      "parameters": {
        "url": "http://perplexica-instance:3000/search",
        "options": {
			"method": "POST", 
			"body": {
				"query": "In-depth technical analysis of {{ $json.cve_id }}, including attack vectors, public PoCs, and official vendor mitigations."
			}
		}
      },
      "name": "Research Agent: Get PoC & Mitigation", "type": "n8n-nodes-base.httpRequest", "position": [700, 300]
    },
    {
      "parameters": {
        "url": "http://internal-asset-db/api/v1/query",
        "options": {"method": "POST", "body": {"cpe": "{{ $json.cve_id }}"}} /* Query assets by CVE */
      },
      "name": "Tool: Query Asset DB for Affected Hosts", "type": "n8n-nodes-base.httpRequest", "position": [700, 500]
    },
    {
      "parameters": {
        "conditions": [
		{"value1": "{{ $node['Tool: Query Asset DB for Affected Hosts'].json.hosts.length }}", 
		"operation": "larger", "value2": 0}
		]
      },
      "name": "Are We Affected?", "type": "n8n-nodes-base.if", "position": [950, 400]
    },
    {
      "parameters": {
        "prompt": "Synthesize a priority security advisory for {{ $json.cve_id }}. Research: {{ $node['Research Agent: Get PoC & Mitigation'].json.answer }}. Affected Hosts: {{ $node['Tool: Query Asset DB for Affected Hosts'].json.hosts }}. Assign a priority score from 1-5.",
        "model": "ollama:llama3-70b"
      },
      "name": "LLM: Draft & Prioritize Advisory", "type": "n8n-nodes-community.ollama", "position": [1200, 300]
    },
    {
      "parameters": {
        "project": "SEC", "issueType": "Task", "summary": "Urgent Patch Required: {{ $json.cve_id }}",
        "description": "{{ $node['LLM: Draft & Prioritize Advisory'].json.response }}"
      },
      "name": "Action: Create Jira Ticket", "type": "n8n-nodes-base.jira", "position": [1450, 300]
    }
  ],
  "connections": {
    "Trigger: New CVE in RSS": {"main": [[{"node": "Extract & Format CVE"}]]},
    "Extract Format CVE": {
	"main": [[{"node": "Research Agent: Get PoC & Mitigation"}, {"node": "Tool: Query Asset DB for Affected Hosts"}]]},
    "Tool: Query Asset DB for Affected Hosts": {"main": [[{"node": "Are We Affected?"}]]},
    "Are We Affected?": {"main": [[{"node": "LLM: Draft & Prioritize Advisory", "output": "true"}]]},
    "Research Agent: Get PoC & Mitigation": {"main": [[{"node": "LLM: Draft & Prioritize Advisory"}]]},
    "LLM: Draft & Prioritize Advisory": {"main": [[{"node": "Action: Create Jira Ticket"}]]}
  }
}

Intelligent Automation & Autonomous Systems