Datavault AI highlighted the strategic importance of its New York and Philadelphia edge network deployment with Available Infrastructure's SanQtum AI platform. This GPU-powered, zero-trust edge infrastructure features national security-grade cybersecurity and enables instant data monetization - positioning Datavault AI to potentially address a multi-billion-dollar market opportunity of annual recurring revenue within the Philadelphia and New York metropolitan areas alone. The Philadelphia and New York installation, part of Datavault AI's initial multi-city rollout and planned expansion to 100 cities nationwide in 2026, integrates SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange, DataScore and DataValue AI agents. Operating within SanQtum's private, quantum-resistant edge environment, the platform allows real-time data scoring, tokenization at birth, and enterprise-grade AI processing without reliance on public cloud infrastructure. This breakthrough capability has the potential to eliminate latency, reduce security exposure, and transform raw data into authenticated, tradable digital assets at the moment of creation. Datavault AI and Available Infrastructure look forward to expanding this national rollout and supporting additional customer deployments that benefit from secure communications, secure storage, near-edge compute, and secure data processing. As coverage scales across the U.S., the companies expect the combined infrastructure footprint to help accelerate trusted tokenization, exchange, and valuation workflows by placing cybersecure edge nodes closer to where data is generated and decisions are made.
Wall Street analysts forecast DVLT stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for DVLT is 4.00 USD with a low forecast of 4.00 USD and a high forecast of 4.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
1 Analyst Rating
Wall Street analysts forecast DVLT stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for DVLT is 4.00 USD with a low forecast of 4.00 USD and a high forecast of 4.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
1 Buy
0 Hold
0 Sell
Moderate Buy
Current: 0.755
Low
4.00
Averages
4.00
High
4.00
Current: 0.755
Low
4.00
Averages
4.00
High
4.00
Maxim
NULL -> Buy
maintain
$3 -> $4
2026-01-05
Reason
Maxim
Price Target
$3 -> $4
AI Analysis
2026-01-05
maintain
NULL -> Buy
Reason
Maxim raised the firm's price target on Datavault to $4 from $3 and keeps a Buy rating on the shares. Following the WiSA merger and the strategic acquisition of CSI, along with new licensing deals and a $150M Bitcoin infusion from Scilex, the company's IP portfolio across Web 3.0, audio technologies, and data monetization is increasingly promising, the analyst tells investors in a research note.
Maxim
Maxim
Hold
to
Buy
upgrade
$3
2025-06-12
Reason
Maxim
Maxim
Price Target
$3
2025-06-12
upgrade
Hold
to
Buy
Reason
Maxim upgraded Datavault to Buy from Hold with a $3 price target.
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About DVLT
Datavault AI Inc. is a data licensing and monetization company. The Company’s patented platform enables secure data valuation, exchange, and AI-driven monetization-enabling businesses and creators to unlock the value of their data assets across cloud, Web 3.0, and experiential computing landscapes. Its offerings are its artificial intelligence (AI)-driven agents branded as Data Vault, DataValue, DataScore, and Data Vault Bank. These tools harness generative AI to deliver enterprise-grade data management solutions. It operates through two synergistic platforms: Data Science and Acoustic Science. Its Data Sciences Platform is anchored by its flagship Data Vault platform, a patented, cyber-secured asset tokenization platform that sets a new standard for trust and innovation in Web 3.0 data science. The Acoustic Sciences Platform features a fusion of WiSA’s wireless standard technology and the category creating ADIO inaudible tone, data over sound, and mobile quick response technology.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
