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Ace Intelligence Systems
Preparing an ultra-fast, streamlined experience.
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Preparing an ultra-fast, streamlined experience.
Ace Intelligence
Turn 40 hours of manual research and literature synthesis into a complete, verified report in 90 seconds.
Manual secondary research, competitive market analysis, and academic literature reviews eat dozens of high-value team hours every week. We engineered an autonomous 8-agent research pipeline that crawls primary data sources, identifies critical strategic gaps, cross-validates citations, and compiles structured, publication-ready reports—with zero hallucination.
Strategy, product, and academic teams waste 30 to 40 hours per project manually skimming papers, industry reports, and whitepapers. The process is painfully slow, prone to cognitive fatigue, and difficult to standardize across team members—leaving critical competitive blind spots undiscovered.
An autonomous multi-agent pipeline where 8 specialized AI agents work in sequence—each handling one phase of the research workflow: topic decomposition, literature discovery, gap analysis, methodology design, and publication compilation with strict citation verification.
90-Second Report Compilation: Cuts research cycle time by 95%, delivering in seconds what previously required an entire working week. | Zero-Hallucination Fact Anchoring: Grounded in live academic databases (arXiv, Semantic Scholar) with verifiable primary citations. | Standardized Publication Quality: Generates complete IEEE-format academic papers or structured executive briefings automatically. | Autonomous Discovery: Automatically pinpoints unexplored industry gaps and methodology blind spots.
The system runs as a unified n8n workflow. Submit any research topic via the web interface, and 8 agents autonomously execute the full research lifecycle from initial keyword discovery to final compilation.
Orchestrator: Manages state initialization and data routing across nodes. Keyword Generator: Formulates academic search queries using LLaMA 3.3 70B. Researcher: Executes live literature discovery via academic APIs. Strategist: Identifies industry gaps and formulates strategic hypotheses. Architect: Designs rigorous methodology frameworks. Implementer: Plans data requirements and execution parameters. Analyst: Designs verification experiments and metrics. Editor: Compiles the final verified publication with citations.
Phase 1: Topic Ingestion & State Initialization via webhook. Phase 2: Live Intelligence Gathering via DuckDuckGo, arXiv, and Semantic Scholar. Phase 3: Strategic Gap Identification & Methodology Architecture. Phase 4: Experimental & Data Framework Planning. Phase 5: Verification & IEEE Compilation. Phase 6: Formatted JSON Response with full metadata.
Orchestrated via n8n with LangGraph state management principles. Leverages LLaMA 3.3 70B for high-throughput reasoning and ChromaDB for vector memory. The pipeline is fully accessible via REST webhook for programmatic enterprise integrations.
POST /webhook/start-research
Request: { "topic": "Autonomous Agent Orchestration in Healthcare" }
Response: { "success": true, "executionTimeSeconds": 90, "agentsExecuted": 8, "content": "# Paper Title..." }Explore the full n8n workflow JSON, frontend visualization code, and deployment configuration.
https://github.com/OMCHOKSI108/AI-AUTOMATION-WORKFLOWSArchitected and delivered by the Ace Intelligence engineering team.
Om Choksi (CTO) — https://github.com/OMCHOKSI108
Yash Khare (Founder) — https://github.com/firefistisdead
Ansh Gajera (CEO) — https://github.com/anshgajeraWe design, engineer, and deploy production-grade software and AI systems that eliminate manual bottlenecks, reduce operating costs, and accelerate revenue.