SOUNNASDAQTechnology

Public company intelligence preview

SOUNDHOUND AI INC

73 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
73
3 filed in the last 30 days
Acquisition / disposition count
19/54
Buy / Sell
Unique insiders active in the last year
9
Current insider positions tracked
20
16 active, 4 exited

Insider compensation

Public aggregate: $3.3M average total compensation across covered insiders.

Governance movement

Public aggregate: 1 governance events in the last year.

Institutional ownership

Public aggregate: 460 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
32
Restricted-sale insiders, 1Y
6
Planned sale shares, 1Y
2.2M
Planned sale value, 1Y
$25.9M
Insiders covered
7
Latest year: 2025
Personnel changes, 1Y
1
Board appointments, 1Y
1
Board departures, 1Y
1

Market context

Basic quote context for the preview.

Price
$8.08
Market cap
$3.5B
Volume
17,839,787
EPS
$-0.11
Revenue
$44.2M
Employees
954

Company note

Context before the data.

Company Overview

SoundHound AI is a Technology company in the Software - Application industry that develops independent Voice AI and conversational intelligence solutions for businesses. Its business spans automotive, TV, IoT, restaurants, and customer service, with products such as Houndify, Smart Ordering, Smart Answering, Dynamic Interaction, Employee Assist, and SoundHound Chat AI. Recent filings show the company is growing quickly through acquisitions, especially Amelia and Interactions, and that its revenue mix is increasingly driven by service subscriptions, alongside royalties from embedded products and some monetization revenue. The company is still in a scale-up phase, with heavy emphasis on R&D, enterprise integration, multilingual voice capabilities, and expanding real-world deployment across edge, cloud, and hybrid environments.

Executive Compensation Practices

For a company like SoundHound AI, executive compensation is likely to be heavily tied to growth metrics such as revenue expansion, subscription ARR-style growth, customer adoption, gross margin improvement, and successful integration of acquisitions. Given the filing details, management will probably also be measured on operational scaling, cash discipline, and improving losses excluding non-cash fair value swings related to contingent acquisition liabilities. In the Technology and Software - Application space, equity-based compensation is typically a major component, especially where the company depends on retaining technical talent, product leaders, and sales teams in a competitive AI market. Performance incentives may also reflect milestones tied to enterprise deployments, OEM wins, margin normalization, and progress toward sustainable operating leverage rather than near-term GAAP earnings alone.

Insider Trading Considerations

Insider trading patterns at SoundHound AI may be influenced by quarterly revenue timing, acquisition integration progress, and the volatility created by contingent consideration remeasurement. Because reported earnings are affected by large non-cash fair value swings, insiders and observers may focus more on underlying subscription growth, royalty trends, cash usage, and deal execution than on headline net income. The company’s reliance on customer adoption in automotive, enterprise, and restaurant use cases means insiders may be especially sensitive to timing around OEM launches, major contract wins, and acquisition-related milestones. As a Technology issuer with active equity financing activity, including an at-the-market program, trading behavior may also reflect dilution concerns, liquidity needs, and blackout-period discipline around earnings, acquisition updates, and material product or partnership announcements.

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