1. What happened
Dataset contract and delivery following procurement, legal, security and sample evaluation. The buyer, delivery volume, term, exclusivity and detailed license language are not disclosed.
2. Buyer / seller
Undisclosed leading voice-AI company is the AI buyer or model-development side. Silencio owns or contributes the proprietary corpus.
3. Economics
Dataset-specific contract value disclosed as $250,000; the buyer is unnamed. Economics scope: Specific Tagalog and Cebuano single- and multi-speaker voice-data contract.. Strategic Signal has not estimated undisclosed consideration.
4. Proprietary data
A contracted corpus of native-speaker Tagalog and Cebuano single- and multi-speaker voice recordings assembled through Silencio's distributed contributor network for a leading voice-AI company. Historical depth: Silencio began gathering data in November 2025; the age and duration represented in this specific delivery are not disclosed.. Refreshability: The contracted delivery is finite, while Silencio's contributor network can produce follow-on recordings and adjacent-language corpora..
5. Rights and restrictions
Procurement, legal and security review are disclosed; binding access controls are not. Ownership: not disclosed. Training: The buyer is a voice-AI company and Silencio states AI labs train on its data; the exact contract grant is not disclosed.. Post-training: not disclosed.
6. Why the data matters for AI
Training or improving speech recognition, multilingual voice generation or voice-agent performance in Tagalog and Cebuano. The corpus provides speech examples rather than a state–decision–action–outcome history; decision richness is limited.
7. Asset Score — 63/100
Strategic Signal analysis. The recordings are scarce, consent-oriented and useful for model coverage, but they contain little decision-outcome structure and have limited disclosed historical depth. Score coverage: 100%.
| Factor | Weight | Rating / 5 | Points |
|---|---|---|---|
| Uniqueness / scarcity | 12 | 4.5 | 10.8 |
| Historical depth | 8 | 1 | 1.6 |
| Decision → outcome richness | 13 | 0.5 | 1.3 |
| Decision Value Density | 13 | 1 | 2.6 |
| Real-world grounding | 10 | 5 | 10.0 |
| Domain economic value | 9 | 4 | 7.2 |
| Refreshability | 8 | 4 | 6.4 |
| Proprietary advantage | 9 | 4.5 | 8.1 |
| Model-learning usefulness | 10 | 4.5 | 9.0 |
| Non-replicability | 4 | 4 | 3.2 |
| Rights usability | 4 | 3.5 | 2.8 |
8. Transaction Signal Score — 89/100
Strategic Signal analysis. The contract supplies unusually clean dataset-specific cash economics for a defined language corpus, but detailed rights and the buyer identity remain undisclosed. Score coverage: 79%.
| Factor | Weight | Rating / 5 | Points |
|---|---|---|---|
| Disclosed economics | 16 | 5 | 16.0 |
| Clean price discovery | 16 | 4.5 | 14.4 |
| Separability of data consideration | 15 | 5 | 15.0 |
| Explicit training / model-improvement use | 14 | 4.5 | 12.6 |
| Clarity of rights purchased | 12 | 3 | 7.2 |
| Competing bids | 10 | Unknown | — |
| Strategic buyer quality | 6 | Unknown | — |
| Repeatability / precedent value | 6 | 4 | 4.8 |
| Independent model-uplift evidence | 5 | Unknown | — |
9. M&A / valuation implications
The disclosed $250,000 contract provides a rare observable price point for a defined low-resource-language voice corpus, though volume, hours and exact rights are unknown.
10. Evidence boundary
Contract value, languages, speaker formats and buyer type are disclosed by an investor in Silencio. Buyer identity, dataset size, ownership, exclusivity, retention, sublicensing, derived-model rights and independent model uplift are not disclosed.