AnswerThis
AI research assistant for literature reviews and scientific discovery
Website: https://answerthis.io
Cover Block
| Name | AnswerThis |
| Tagline | AI research assistant for literature reviews and scientific discovery |
| Headquarters | San Francisco, United States |
| Founded | 2024 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Seed (total disclosed ~$500,000) |
Links
- Website: https://answerthis.io/
- LinkedIn: https://www.linkedin.com/company/answerthis/
- Y Combinator: https://www.ycombinator.com/companies/answerthis
What an Investor Needs First
AnswerThis is an AI research assistant that aims to compress weeks of manual literature review and citation work into hours, a proposition that has secured it a place in Y Combinator's Fall 2025 cohort and a $500,000 seed round [VC Tavern, 2025]. The company, founded in 2024 by University of Richmond seniors Ayush Garg and Ryan McCarroll, targets a claimed market of 250,000 researchers and academics [Y Combinator, 2025]. Its core product is an end-to-end workspace that analyzes a database of over 250 million papers to answer questions, generate literature reviews, and draft content with inline citations [Heights of Humanity, 2026].
Co-founder Ayush Garg leads backend development, while Ryan McCarroll brings a marketing and sales specialization to the team [Forbes, 2026] [University Research Times, 2026]. The business operates on a SaaS model. With a team of six and two open engineering roles, the company is in a post-accelerator build phase [Y Combinator, 2026].
Data Accuracy: YELLOW -- Core company facts are confirmed via Y Combinator and founder profiles; user metrics and market size are sourced from company claims with limited third-party verification.
Inside the Company
AnswerThis was founded in 2024 by Ayush Garg and Ryan McCarroll, both seniors at the University of Richmond [University of Richmond, 2026]. The company is based in San Francisco and was selected for the Y Combinator Fall 2025 cohort [Y Combinator, 2025]. In 2025, AnswerThis raised $500,000 in a seed round led by Y Combinator [VC Tavern, 2025]. As of early 2026, the team size is six employees [Y Combinator, 2026].
Data Accuracy: YELLOW -- Key founding details confirmed by university and Y Combinator; funding round reported by a single trade publication.
Under the Hood
The core proposition is an integrated AI workspace that supports the entire research workflow, from identifying research gaps and discovering relevant papers to summarizing, analyzing, and drafting content with inline citations [AnswerThis, 2025]. The underlying technology queries a database of over 250 million research papers and articles [Heights of Humanity, 2026]. Open job postings for roles in "AI agent orchestration" and "Founding Engineer" suggest a focus on building and managing complex, multi-agent AI systems [Work at a Startup, 2025] [Work at a Startup, 2026].
Data Accuracy: YELLOW -- Core product claims are sourced from the company's own materials; technical stack is inferred from hiring needs.
Market Research
The market for AI-assisted research tools is a structural response to the growth rate of scientific literature. The company's materials cite a target of 250,000 researchers and academics [Y Combinator, 2025]. AnswerThis claims its system indexes over 250 million research papers and articles [Heights of Humanity, 2026].
| Metric | Value |
|---|---|
| Targeted Researchers (SAM) | 250,000 researchers |
| Claimed Paper Database | 250,000,000 papers |
Data Accuracy: YELLOW -- Market sizing claims are company-sourced; the 250 million paper database figure has partial third-party citation.
Competition and Substitutes
AnswerThis enters a market defined by established AI research tools, positioning itself as an end-to-end workflow engine.
| Company | Positioning | Stage / Funding |
|---|---|---|
| AnswerThis | AI-powered end-to-end workspace for literature reviews and scientific drafting. | Seed (~$500,000) |
| Elicit | AI research assistant for literature search, summarization, and data extraction. | Seed ($2.5M) |
| Consensus | AI-powered search engine for research, emphasizing evidence-based answers. | Seed ($3M) |
| SciSpace | AI research assistant for reading, writing, and collaboration. | Series A ($11M) |
| Scite | AI tool for evaluating scientific claims via Smart Citations. | Seed ($1.7M) |
Data Accuracy: YELLOW -- Competitor data is confirmed via Crunchbase and company sites; AnswerThis's differentiation claims are sourced from its own materials and YC profile.
Opportunity
If AnswerThis executes, the prize is a central, sticky platform in the daily workflow of researchers. The headline opportunity is to become the primary system of record for academic and industrial research [Y Combinator, 2025].
Data Accuracy: YELLOW -- The core opportunity thesis relies on company-stated market size and user base claims, which lack third-party verification.
Sources
- [VC Tavern, 2025] AnswerThis Raises $500,000 in Seed Funding Through Y Combinator | https://vctavern.com/answerthis-raises-500000-in-seed-funding-through-y-combinator-to-scale-ai-research-platform/
- [Y Combinator, 2025] AnswerThis: End-to-end workspace to accelerate scientific discovery | https://www.ycombinator.com/companies/answerthis
- [Heights of Humanity, 2026] Supercharging Research and Entrepreneurship with AI | Ayush Garg, Founder of AnswerThis | https://creators.spotify.com/pod/profile/heights-of-humanity/episodes/Supercharging-Research-and-Entrepreneurship-with-AI--Ayush-Garg--Founder-of-AnswerThis-e2lintn
- [Forbes, 2026] Ayush Garg | AnswerThis | Forbes Business Council | https://councils.forbes.com/profile/Ayush-Garg-AnswerThis/ed307512-272a-4179-877b-a27d56894d1a
- [University Research Times, 2026] Ryan McCarroll has expertise in marketing and scaling businesses, with a background in high-ticket sales and entrepreneurship | https://universityresearchtimes.com/ryan-mccarroll/
- [University of Richmond, 2026] Ayush Garg and Ryan McCarroll are University of Richmond seniors who developed AnswerThis.io | https://news.richmond.edu/features/2026/02/13/answerthis-ai-research-assistant-y-combinator.html
- [Y Combinator, 2026] Launch YC: AnswerThis: The AI Research Assistant | https://www.ycombinator.com/launches/Oje-answerthis-the-ai-research-assistant
- [AnswerThis, 2025] AnswerThis | https://answerthis.io/
- [Work at a Startup, 2025] AI agent orchestration at AnswerThis | Y Combinator's Work at a Startup | https://www.workatastartup.com/jobs/87988
- [Work at a Startup, 2026] Founding Engineer at AnswerThis | Y Combinator's Work at a Startup | https://www.workatastartup.com/jobs/88996
- [Clarity, 2026] Users are primarily researchers and consultants immersed in literature reviews and data analysis | https://clarity.fm/answerthis
- [LinkedIn, 2025] 266k monthly visitors | https://www.linkedin.com/company/answerthis/
- [Crunchbase, 2024] Elicit Funding | https://www.crunchbase.com/organization/elicit-org
- [Crunchbase, 2023] Consensus Funding | https://www.crunchbase.com/organization/consensus-app
- [Crunchbase, 2023] SciSpace Funding | https://www.crunchbase.com/organization/scispace
- [Crunchbase, 2021] Scite Funding | https://www.crunchbase.com/organization/scite-ai
Articles about AnswerThis
- AnswerThis’s AI Assistant Has Reached 377,000 Monthly Research Visitors — The YC-backed startup, built by two University of Richmond seniors, is betting its end-to-end workflow can own the literature review for academics and consultants.