The Agentic provides a platform for building and deploying swarms of autonomous AI agents that operate across market environments. Users can create strategies via a drag‑and‑drop visual workflow, import pre‑built agents from a creator marketplace, or code directly in Python, while a multi‑model consensus engine combines outputs from several LLMs to generate more reliable signals. The system supports end‑to‑end execution, from signal analysis to trading, notifications, and reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Creating and managing algorithmic trading strategies across multiple cryptocurrency exchanges requires technical expertise, extensive coding, and reliable decision-making across volatile markets. Traders also face challenges in aggregating insights from multiple AI models, leading to suboptimal signals and higher error rates.
Solution
The Agentic (NickAI) offers a no‑code to full‑code platform that lets users build, test, and deploy swarms of AI agents for autonomous trading, notifications, and reporting. Users can design workflows with a drag‑and‑drop visual builder, import pre‑made strategies from a creator marketplace, or generate strategies via a natural‑language AI assistant. A multi‑model consensus engine combines outputs from several large language models, weighting their strengths to produce a single, more accurate trading signal. The platform connects securely to users’ exchange accounts via API, executes trades, and delivers results through customizable dashboards, all without the need for deep programming skills.
Target Audience
Primary customers are cryptocurrency traders and quantitative analysts who want to automate trading strategies without extensive coding, as well as hedge funds or institutional investors seeking scalable, AI‑driven execution across multiple markets.
Features
- Visual workflow builder with 16 pre‑built nodes for rapid strategy assembly
- Creator marketplace offering ready‑made tactics that can be deployed with one click
- AI assistant that generates complete workflows from plain English descriptions
- Multi‑model consensus engine that aggregates multiple LLM outputs to reduce error rates (78% error reduction reported)
- Full Python code support for advanced users who need custom logic
- Secure API integration with cryptocurrency exchanges, keeping users in control of their API keys and funds
- Execution loop that handles signal generation, trade execution, notifications, and reporting in a single automated flow
- Credit‑based usage model with top‑up option (100 credits = $1) and tiered subscription plans