PTOP expands platform with MobiCard digital business cards and Synaptic Quant AI trading tool

Peer To Peer Network cut Synaptic Quant Elite's price from $40 to $20 per month and added a 21-day free trial, while debuting the AI-powered trading platform alongside MobiCard updates.

Categorized in: AI News IT and Development
Published on: Aug 14, 2026
PTOP expands platform with MobiCard digital business cards and Synaptic Quant AI trading tool

Peer To Peer Network, Inc. (OTC: PTOP) has expanded its technology platform with updates to its MobiCard™ digital business-card service and the launch of Synaptic Quant, an AI-powered market intelligence and trading platform developed by PTOP Intelligence Labs. The company also reduced the price of Synaptic Quant Elite from $40 to $20 per month and introduced a 21-day free trial. The announcement, made Aug. 14, 2026, reflects PTOP's push into both digital identity and data-driven financial tools.

MobiCard™ lets users create a digital business card that combines contact details, social links and professional information into a single profile. The company has established FreeMobiCard.com as the dedicated site for the platform, which targets professionals, entrepreneurs, sales teams and organizations looking for a modern alternative to paper cards.

"MobiCard continues to be an important part of what we're building at PTOP," said Joshua Sodaitis, Chairman and CEO of Peer To Peer Network. "The new website gives us a stronger destination for the product while allowing us to continue expanding the platform and its capabilities."

Synaptic Quant and the new Elite pricing

Synaptic Quant is the newest product from PTOP Intelligence Labs. The platform uses AI to analyze market information and presents findings through AI Conviction Scores, real-time market catalysts, options activity, dark-pool data, trade plans and historical signal data. It includes a Simple Mode designed for users unfamiliar with trading terminology.

The Elite subscription now costs $20 per month with a 21-day free trial, giving access to trade plans, options sweeps, dark-pool information, live indicators, position sizing and risk tools. PTOP is also publicizing AI Conviction Scores and related case studies to demonstrate what its AI analysis can produce.

"Synaptic Quant is an important new direction for PTOP Intelligence Labs," said Sodaitis. "We wanted to create a platform that takes complicated market information and uses AI to make that information easier to understand."

Two products, one strategy

PTOP describes MobiCard™ and Synaptic Quant as different applications of the same technology strategy. MobiCard™ handles digital identity and professional networking; Synaptic Quant applies AI to market intelligence. The company's corporate site, ptopnetwork.com, covers its broader technology direction.

"We're continuing to build PTOP around multiple technology opportunities," said Sodaitis. "MobiCard addresses digital networking, while Synaptic Quant applies AI to financial market intelligence. Both are part of our effort to develop technology products with practical applications."

Why this matters for IT and development teams

The specific stack decisions are the relevant takeaway here. PTOP is building two AI applications - one for networking, one for market data - under a single division. For IT professionals, the interesting part is the engineering challenge: syncing a trading platform that handles dark-pool data and live options activity with a consumer-facing digital-card site is a demanding integration workload. The platform's tiered feature set (free, Simple Mode, Elite) means data pipelines must scale for different user levels.

If you're evaluating Synaptic Quant's market signals for your own work, remember that the risk disclosure says signals and historical data are for informational purposes only and are not guarantees of future results. You can review the platform at www.synapticquant.com. The internal financial-info skills for this kind of AI trading and financial work might not be directly applicable to the same in-house domain.


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