DVLTNASDAQTechnology

Public company intelligence preview

DATAVAULT AI INC

71 insider trades surfaced from the last year. This page shows only aggregate signals, not the underlying transactions, people, filings, filters, or AI workspace.

Snapshot

A narrow read on a much deeper workspace.

The preview gives search visitors enough signal to understand coverage. It does not expose transaction records, person-level profiles, filters, comparisons, or analyst workflows.

Insider trades, last 12 months
71
0 filed in the last 30 days
Acquisition / disposition count
38/33
Buy / Sell
Unique insiders active in the last year
11
Current insider positions tracked
13
12 active, 1 exited

Insider compensation

Public aggregate: $491212.20 average total compensation across covered insiders.

Governance movement

Public aggregate: 0 governance events in the last year.

Institutional ownership

Public aggregate: 75 holders from the latest quarter.

Restricted sales and governance

Public counts, not the investigation layer.

The full product opens the underlying filings, insider context, historical holdings, comparison tools, and AI analysis.

Restricted-sale filings, 1Y
0
Restricted-sale insiders, 1Y
0
Planned sale shares, 1Y
0
Planned sale value, 1Y
$0.00
Insiders covered
3
Latest year: 2024
Personnel changes, 1Y
0
Board appointments, 1Y
0
Board departures, 1Y
0

Market context

Basic quote context for the preview.

Price
$0.42
Market cap
$386.4M
Volume
1,750,916.025
EPS
$-0.09
Revenue
$3.4M
Employees
194

Company note

Context before the data.

Company Overview

Datavault AI Inc. is a Technology company in the Semiconductors industry, but its business is more software, data licensing, and IP commercialization than traditional chip manufacturing. Its core operations span Data Sciences—where it develops cybersecurity- and privacy-oriented SaaS and licensing platforms for data ownership, valuation, scoring, and monetization—and Acoustic Sciences, where it commercializes wireless audio and data-over-sound technologies through products and partnerships. The company also appears to be building a broader data-asset marketplace strategy through its planned Information Data Exchange, alongside acquisitions and partnerships that extend its reach into events, media, retail, logistics, and related markets. Recent filings show rapid revenue growth, but with heavy reliance on a few customers, acquisitions, and a large patent portfolio to support its competitive position.

Executive Compensation Practices

For a company like Datavault AI, executive compensation is likely to be heavily oriented toward growth milestones, IP commercialization, revenue expansion, and financing execution rather than stable earnings metrics. Given the sharp rise in revenue, but also the very high operating and non-cash financing costs, compensation incentives may emphasize ARR-like contract wins, patent licensing revenue, acquisition integration, and gross margin improvement. In the Semiconductors and broader Technology context, equity-based awards are common, and at Datavault those awards may be especially important because the company is still investing aggressively in R&D, sales, and IP expansion while posting recurring losses. Stock-based compensation may also be used to conserve cash, which matters for a company with low cash balances but a larger pool of receivables and digital assets.

Insider Trading Considerations

Insider trading patterns in Datavault AI may be influenced by its high volatility, financing needs, and acquisition-driven business model. Because the company depends on patent licensing, customer concentration, note issuances, warrant activity, and digital asset values, insiders may be sensitive to event-driven windows around financing announcements, acquisition closings, major customer wins, and product commercialization milestones. The Technology and Semiconductors backdrop also suggests that insiders may trade around development cycles and partnership announcements, but disclosure and blackout constraints could be especially important given the company’s ongoing capital raises and material non-cash accounting items. Researchers and traders should watch for transactions that coincide with financing events, integration periods after acquisitions, and shifts in liquidity or digital asset exposure, since those factors may have a larger impact on sentiment than traditional quarterly earnings alone.

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