{
  "organization": {
    "name": "Zyniq Labs",
    "legalName": "Zyniq Studios LLP",
    "operatingBase": "Bengaluru, Karnataka, India",
    "founders": [
      {
        "name": "Pranav G",
        "roles": [
          "CEO",
          "CTO"
        ]
      },
      {
        "name": "Abhishek Maharana",
        "roles": [
          "CFO",
          "GM"
        ]
      }
    ]
  },
  "doctrine": {
    "ideology": "Verified behavior beats narrative claims. Low-hallucination agent architectures. Operator-grade execution.",
    "link": "https://zyniqlabs.com/doctrine"
  },
  "trustCenter": {
    "link": "https://zyniqlabs.com/trust",
    "compliance": {
      "SOC2": "Planned (Not Certified)",
      "ISO27001": "Planned (Not Certified)",
      "HIPAA": "Not Currently Claimed",
      "PCIDSS": "Not Currently Claimed"
    }
  },
  "services": [
    {
      "id": "ai-solutions",
      "name": "AI Solutions"
    },
    {
      "id": "software-development",
      "name": "Software Development"
    },
    {
      "id": "web-development",
      "name": "Web Development"
    },
    {
      "id": "ai-automation",
      "name": "AI Automation"
    },
    {
      "id": "research-and-development",
      "name": "Research & Development"
    },
    {
      "id": "digital-transformation",
      "name": "Digital Transformation"
    },
    {
      "id": "branding-and-strategy",
      "name": "Branding & Strategy"
    },
    {
      "id": "growth-marketing",
      "name": "Growth Marketing"
    }
  ],
  "platforms": [
    {
      "name": "Zyniq One",
      "category": "AI Business Operating System",
      "status": "In Development",
      "description": "An integrated AI-powered business platform combining CRM, ERP, automation, analytics, AI agents, communications, project management, customer engagement, and enterprise integrations."
    },
    {
      "name": "Zyniq AgentOS",
      "category": "Multi-Agent AI Platform",
      "status": "In Development",
      "description": "A platform for creating, deploying, orchestrating, monitoring, and managing collaborative AI agents for business and enterprise automation."
    },
    {
      "name": "Zyniq Studio",
      "category": "AI Development Platform",
      "status": "Planned",
      "description": "A low-code platform for building and customizing enterprise AI agents and integrations."
    },
    {
      "name": "Zyniq Platform",
      "category": "Core AI & Automation Platform",
      "status": "In Development",
      "description": "Unified platform for AI-powered business automation, workflow orchestration, analytics, and enterprise integrations."
    },
    {
      "name": "Zyniq Agent Lab",
      "category": "AI Agent Workspace",
      "status": "In Development",
      "description": "A suite of specialized AI agents designed to automate business operations and decision support."
    }
  ],
  "agents": [
    {
      "name": "AI Growth Operations Engine",
      "status": "In Development",
      "description": "Orchestrates multi-channel growth operations, audience insights, and automated client acquisition pipelines."
    },
    {
      "name": "Multi-Agent Virtual Assistant",
      "status": "In Development",
      "description": "A collaborative assistant network handling scheduling, communications, and task delegation."
    },
    {
      "name": "Trading Intelligence Assistant",
      "status": "Research",
      "description": "Processes market telemetry, sentiment feeds, and macroeconomic data for decision support."
    },
    {
      "name": "SEO Audit Workspace",
      "status": "In Development",
      "description": "Automated technical audit, keyword mapping, and search visibility optimization assistant."
    },
    {
      "name": "Positioning Review Assistant",
      "status": "In Development",
      "description": "Evaluates product-market positioning, competitive maps, and strategic copy validation."
    },
    {
      "name": "Revenue Operations Assistant",
      "status": "In Development",
      "description": "Integrates sales funnels, contract analysis, billing telemetry, and revenue leak detection."
    },
    {
      "name": "Research Briefing Assistant",
      "status": "In Development",
      "description": "Sifts scientific papers, engineering blogs, and market reports to draft structured digests."
    },
    {
      "name": "Workflow Review Assistant",
      "status": "In Development",
      "description": "Analyzes operational bottlenecks, charts flow diagrams, and designs target automation state-machines."
    }
  ],
  "research": [
    {
      "name": "SIGNAL",
      "category": "Persistent Organizational Memory",
      "status": "Research",
      "description": "An experimental framework for structuring and persisting long-term contextual memories for autonomous systems."
    },
    {
      "name": "ZERO",
      "category": "Zero-Hallucination Execution Layer",
      "status": "Research",
      "description": "An execution protocol constraining AI output validation using strict static graphs and runtime checks."
    },
    {
      "name": "Foundation Models",
      "category": "Specialized LLMs",
      "status": "Concept",
      "description": "Exploration of highly efficient models optimized for domain-specific automation and task routing."
    },
    {
      "name": "Liquid World Models",
      "category": "Dynamic Telemetry",
      "status": "Concept",
      "description": "Research into state representation models that adapt continuously to streaming operational events."
    },
    {
      "name": "Edge AI",
      "category": "On-Device Inference",
      "status": "Research",
      "description": "Optimizing local small language models (SLMs) and agent controllers to operate securely in low-bandwidth settings."
    }
  ],
  "blog": [
    {
      "id": "blog-seed-2026-06-01-a",
      "title": "Autonomous Operations in 2026: How Founder-Led Teams Build Trustworthy AI Systems Before They Scale",
      "date": "2026-06-01"
    },
    {
      "id": "blog-seed-2026-06-01-b",
      "title": "From Curiosity to Control: The SIGNAL/ZERO Playbook for AI Workflow Automation Without Chaos",
      "date": "2026-06-01"
    }
  ],
  "researchUpdates": [
    {
      "id": "research-seed-2026-06-01-a",
      "title": "Operational Confidence Envelopes for Multi-Agent Systems: A Practical Field Protocol",
      "date": "2026-06-01"
    },
    {
      "id": "research-seed-2026-06-01-b",
      "title": "Latency, Traceability, and Human Override in Autonomous Workflow Systems: Controlled Benchmark Notes",
      "date": "2026-06-01"
    }
  ]
}