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tvScientific
Marketing · Los Angeles, United States · Founded 2020
CTV platform to offer a hands-on solution that combines direct media buying with comprehensive measurement and attribution MoreLess
tvScientific is a digital advertising platform that specializes in Connected TV (CTV) campaigns. It caters to top consumer brands, helping them build, optimize, and measure the value of their CTV advertising efforts. The company operates in the digital advertising market, specifically focusing on the CTV segment.
The business model of tvScientific is based on providing a platform for brands to manage their CTV advertising campaigns. It offers over 15,000 unique targeting segments, allowing brands to reach the right audience based on behaviors, interests, geography, and more. The platform provides a comprehensive view of the customer journey, enabling brands to make real-time optimizations.
tvScientific makes money by charging brands for using its platform to manage their CTV campaigns. It offers real-time reporting and analytics, allowing brands to track performance metrics like Cost Per Acquisition (CPA) and Return on Ad Spend (ROAS). This means brands can see how much they're spending to acquire a customer and how much return they're getting on their advertising spend.
The platform also provides features like Path-to-Purchase, Last-Click Referrers, and Log-Level data verification, which help brands understand the true performance of their TV ads. The company prides itself on its transparency, showing the path from TV ad exposure to outcome.
Keywords: Digital Advertising, Connected TV (CTV), Consumer Brands, Targeting Segments, Customer Journey, Real-Time Optimization, Performance Metrics, Cost Per Acquisition (CPA), Return on Ad Spend (ROAS), Transparency.
Company overview
tvScientific company information
The essential company record, classifications and operating signals in one place.
- Status
- Acquired
- Founded
- 2020
- Headquarters
- Los Angeles, United States
- Employees
- 127
- Open positions
- None listed
- Dealroom signal
- 63.4
Valuation & funding
tvScientific funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITIONOther financing | Dec 2025 | $0 | — | ↗ | |
| SERIES BOther financing | Feb 2025 | $26M | $102M | Norwest Venture Partners · Second Alpha Partners · NewRoad Capital Partners · Progress Ventures | ↗ |
| CONVERTIBLEOther financing | Feb 2024 | $9.4M | — | NBCUniversal · Aperiam Ventures · BDMI · Progress Ventures | ↗ |
| SERIES AOther financing | Apr 2022 | $20M | $80M | Comcast Ventures · Hearst Ventures · NBCUniversal · Norwest Venture Partners | ↗ |
| SEEDOther financing | Apr 2021 | $1.5M | $6M | Undisclosed | — |
Financials
Revenue and workforce over time
Available revenue and workforce history. Fields without reported data are omitted.
| Year | Revenue | Growth | Employees |
|---|---|---|---|
| 2026 | $16M | 0% | 127 |
| 2025 | $16M | 0% | 184 |
| 2024 | $16M | 0% | 136 |
| 2023 | $16M | +226% | 101 |
| 2022 | $5M | +290.6% | 67 |
| 2021 | $1.3M | — | 19 |
Growth signals
tvScientific website traffic
Latest recorded traffic for tvScientific is 30K monthly website visits, up 11.1% over the last three months. tvScientific's team declined 31% over the past year.
Comparisons
tvScientific compared with similar companies
Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.
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Talent graph
tvScientific's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where tvScientific has talent and traffic
team presence
In the news
Latest news about tvScientific
Recent press, funding announcements, and product moves mentioning tvScientific — open to read from the original sources.
Market sentiment
What the market is saying about tvScientific
An AI-synthesized read of the highest-engagement posts about tvScientific on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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