Prime Radiant Introduces AI-Powered Research and Portfolio Tools for Bittensor

Prime Radiant launched an AI-powered investment intelligence platform built specifically for Bittensor positions, deploying nine specialized AI agents that work every subnet around the clock. The core product is a seven-member AI Board (five analysts, a Data Guard skeptic, and a Fund Director) producing one thesis per subnet with buy, hold, or cut calls plus entry, target, and stop levels.

Two additional agents run alongside the Board: the Predictor generates vetted candidates before the Board opens, and the Portfolio Advisor watches user positions between sessions. Pricing runs from a free Explorer tier through pay-as-you-go credits at 0.1 $TAO per 10 credits, up to unlimited access at 1 $TAO per month.

The Three Structural Problems Prime Radiant Solves

Investing in Bittensor without a team behind you has become impossible to do well, and the platform frames its existence around three specific structural issues.

1. 100+ active subnets with new ones registering weekly. Reading and understanding them all is a part-time job nobody has, and the surface area keeps expanding.

2. Whales rotate out before they dump. By the time the chart moves, the smart money is already in cash. Without on-chain context, retail participants trade the print rather than the flow.

3. Subnets die fast through deregistration. One emission cliff and the alpha bag is worth pennies unless something flagged the deregistration risk band ahead of time.

The pitch is that Prime Radiant functions as the team most retail investors cannot afford, running at roughly a tenth of the cost of a dedicated analyst desk while delivering institutional-grade depth.

The Nine-Agent Architecture

The platform separates discovery, analysis, validation, and portfolio management across specialized agents with distinct roles. The seven-member AI Board:

1. On-Chain Analyst: Reads every on-chain snapshot, identifying when a subnet is accumulating, distributing, or approaching deregistration.

2. Fundamental Analyst: Reads the team, product, GitHub, and traction. Runs Deep Research across 40 quality questions per subnet monthly.

3. Sentiment Analyst: Watches Discord and X (Formerly Twitter), catching mood shifts before they hit price.

4. Graph Analyst: Maps subnets, teams, people, and partnerships, surfacing non-obvious connections that move together.

5. Technical Analyst: Reads price action, volatility, and structure to compute entry, target, and stop zones.

6. Data Guard: The skeptic that reviews every other agent’s analysis and refuses outputs that fail internal consistency checks.

7. Fund Director: Synthesizes validated findings into one thesis per subnet with entry, target, stop, and conviction score.

The two agents running alongside the Board:

1. Predictor: Generates vetted candidates before any analyst touches them, with six independent safety gates before a name reaches the Board.

2. Portfolio Advisor: Watches the wallet between Board sessions, flagging rebalances, profit-takes, and cuts.

Every recommendation ships with the reasoning attached, so users see the steps behind each decision. Data aggregates from Taostats, tao.app, and proprietary feeds.

Six Tools on Top of the Board

The platform breaks down into six specific tools users can run against their wallet, spanning discovery, analysis, whale monitoring, portfolio management, ecosystem mapping, and live dashboards.

1. AI Board: A seven-agent AI committee that produces a complete buy, hold, or cut thesis for every Bittensor subnet with entry, target and stop-loss levels.

2. Prime Predictor: An AI discovery engine that filters and ranks high-potential subnet opportunities before they reach the AI Board for full analysis.

3. Whale Tracker: A real-time on-chain intelligence tool that monitors whale activity, token distribution and selling pressure across every Bittensor subnet.

4. Portfolio Analytics: An AI-powered portfolio manager that tracks performance, generates rebalancing recommendations and monitors risk across Bittensor holdings.

5. Knowledge Graph: A dynamic map of Bittensor’s ecosystem that reveals relationships between subnets, teams, investors and strategic partnerships.

6. Dashboard Signals: A live market dashboard that aggregates key on-chain, fundamental, sentiment and performance metrics for every active Bittensor subnet.

Wallets connect view-only with no private key handling, and every AI Board call gets tracked and scored over time.

The Pricing Tiers

The platform runs on three tiers, all denominated in $TAO rather than credit card billing:

Tier	Cost	Access
Explorer (Basic)	Free	Real-time dashboard, portfolio tracker, whale tracker, subnet history, Telegram alerts, 20 welcome credits
Pro	0.1 $TAO / 10 credits (~$21.26)	Everything in Explorer plus AI Board, Prime Predictor, Deep Research, AI rebalancing. Credits never expire. Auto-refund on failed actions
Unlimited	1 $TAO / month (~$213)	Unlimited AI actions across every tool plus priority support

Pro credits carry no expiry and get spent per AI action, which lets active traders scale usage against how often they refresh their thesis rather than paying a flat subscription for capacity they may not need.

Intelligence Over Screens

Prime Radiant’s closing pitch is that the next generation of Bittensor winners will not be the ones with the most screens open, but the ones with the best intelligence flowing through those screens. Nine specialized agents synthesizing into one clear thesis per subnet reframes what a retail Bittensor investor can access, moving research quality closer to what institutional desks run without the institutional cost structure.

Users pay in $TAO, credits never expire, and every recommendation carries entry, target, stop, and conviction plus the reasoning behind it. For anyone actively trading Bittensor positions today, this is one of the cleaner examples of what decentralized AI applied to its own ecosystem actually produces.

➛ Access Free Credits to Explore Prime Radiant Here