SciSpace

SciSpace (formerly Typeset) is an AI research platform covering the full academic workflow from literature search and PDF reading through autonomous literature reviews and citation management. The platform deploys multiple specialized AI agents: SciSpace Agent for general research across the indexed paper corpus, Biomedical Agent for life sciences research (launched December 2025), Deep Review for autonomous literature review generation, and Systematic Research with PRISMA methodology for structured systematic reviews. An Agent Gallery provides access to additional specialized research agents. The company (PubGenius Inc.) is based in Milpitas, California, with development origins in Bengaluru, India. Founded in 2015 by Saikiran Chandha and Shanu Kumar. SciSpace integrates natively with five named research and development tools: Zotero (reference import), Notion (knowledge management), Mendeley (reference management), GitHub (code and research repositories), and a cloud storage provider for document import. A Chrome Extension enables AI-powered paper reading on any research paper found on the web. A mobile app provides research access on the go. The platform does not publish an MCP server, does not offer API access for external agent frameworks, and does not integrate with enterprise platforms such as Salesforce, SharePoint, or institutional library systems. Notable gap: researchers needing to connect SciSpace outputs to LaTeX editors (Overleaf), project management tools, or collaboration platforms must export and import manually. Pricing follows a tiered model with monthly and annual options (annual saves 40%). A free tier exists with limited AI queries and basic search access. Premium at $20/month ($12/month billed annually) provides 1,200 monthly agent credits, unlimited literature review search, Pro model access, 4 parallel agent queries, Biomedical Agent access, and unlimited exports. Advanced at $90/month ($70/month annual) provides 10,000 monthly credits with Expert model access and 8 parallel agent queries. Max at $200/month ($160/month annual) provides 40,000 credits. Teams and Enterprise pricing available separately. All plans use a credit-based system where each agent query consumes credits. SciSpace is not designed for enterprise knowledge management, non-academic research, or teams needing API-level access for custom agent pipelines. Elicit ($12/month) provides more focused systematic review methodology with structured evidence tables for meta-analysis. Consensus ($9.99/month) specializes in scientific claim verification with yes/no consensus meters across the literature. For general-purpose AI research without the academic paper focus, ChatGPT Deep Research ($20/month) and Gemini Deep Research ($19.99/month) handle broad research across web sources. Tavily (free tier, usage-based) and Exa AI (free tier, $7/1K requests) provide API-first search infrastructure for developers building custom research agents. The credit-based pricing can create budget pressure during heavy research periods when 1,200 Premium credits are exhausted mid-month. As of Q2 2026, SciSpace launched the Biomedical Agent in December 2025 (74 Product Hunt upvotes), adding specialized life sciences research to the general SciSpace Agent. The Agent Gallery extends the platform with additional specialized research agents. PRISMA systematic review support addresses a critical academic methodology need. The platform holds SOC 2 Type II certification (AICPA badge displayed on the enterprise page) with SSO and SAML authentication for institutional deployments. Independent evidence is the strongest in the AI research agent category: 80 Capterra reviews at 4.3, 336 Trustpilot reviews at 4.4 (claimed profile), 19 Product Hunt reviews at 4.4 with 205 upvotes on the main launch and 8 total launches, and 2 G2 reviews at 3.8. The domain migrated from typeset.io to scispace.com. Funding is modest at approximately $890K across early-stage rounds with no significant institutional VC, though review volume and product velocity suggest strong organic growth.