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Reducto AI
AI · San Francisco, United States · Founded 2023
Document ingestion engine for large language models and retrieval augmented generation MoreLess
Reducto.ai is an innovative startup specializing in high-quality data ingestion for large language models (LLMs). The company focuses on parsing complex documents and optimally chunking content to enhance retrieval-augmented generation (RAG) performance with any vector database. This means Reducto.ai helps businesses process and organize large volumes of data more efficiently, making it easier to retrieve and use relevant information.
Reducto.ai primarily serves enterprises and organizations that handle substantial amounts of data and require advanced data processing capabilities. This includes sectors like finance, healthcare, legal, and technology, where managing and extracting meaningful insights from vast datasets is crucial.
Operating in the data processing and artificial intelligence market, Reducto.ai employs a subscription-based business model. They offer tiered pricing plans based on the volume of pages processed and additional features required. The standard plan costs $0.02 per page for standard volume usage and $0.01 per page for high volume usage. For larger workloads, they provide growth and enterprise plans with lower per-page costs and dedicated compute resources. These plans also include additional features like layout-based chunking, structured data extraction, and dedicated support channels.
Reducto.ai generates revenue through these subscription fees, with additional charges for specific features such as automatic bar graph parsing. By offering scalable solutions tailored to different business needs, Reducto.ai ensures a steady stream of income while catering to a diverse client base.
In summary, Reducto.ai is a cutting-edge startup that enhances data processing for large language models, serving various industries with scalable, subscription-based solutions.
Keywords: Data Ingestion, LLMs, Document Parsing, RAG Performance, Vector Database, Subscription Model, Enterprise Solutions, Data Processing, AI, Scalable Solutions.
Company overview
Reducto AI company information
The essential company record, classifications and operating signals in one place.
- Status
- Operational
- Founded
- 2023
- Headquarters
- San Francisco, United States
- Employees
- 63
- Open positions
- 17
- Dealroom signal
- 94.8
- Investment activity
- 1 companies · latest May 2026
- Capital deployed
- —
- Preferred round
- ACQUISITION
Valuation & funding
Reducto AI funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES BOther financing | Oct 2025 | $75M | $300M | Benchmark · Y Combinator · BoxGroup · First Round Capital | ↗ |
| SERIES AOther financing | Apr 2025 | $25M | $98M | Y Combinator · BoxGroup · Benchmark · First Round Capital | ↗ |
| SEEDOther financing | Oct 2024 | $8.4M | $34M | SV Angel · Y Combinator · Arash Ferdowsi · Kulveer Taggar | ↗ |
| SEEDOther financing | Mar 2024 | $125K | $500K | Y Combinator | — |
Financials
Revenue and workforce over time
Available revenue and workforce history. Fields without reported data are omitted.
| Year | Revenue | Growth | Employees |
|---|---|---|---|
| 2026 | $10M | 0% | 63 |
| 2025 | $10M | — | 33 |
Growth signals
Reducto AI website traffic
Latest recorded traffic for Reducto AI is 140K monthly website visits, up 40% over the last three months. Reducto AI's team grew 90.9% over the past year.
Hiring
Open positions at Reducto AI
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Comparisons
Reducto AI compared with similar companies
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Capital deployed
Reducto AI investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Talent graph
Reducto AI's talent
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Global footprint
Where Reducto AI has talent and traffic
team presence
In the news
Latest news about Reducto AI
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Market sentiment
What the market is saying about Reducto AI
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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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