SciSpace Agent, your Co-Scientist, unites hundreds of academic tools and databases in one platform. With a single prompt, it reads literature, analyzes data, drafts papers, cutting 90% of research time and accelerating your path from hypothesis to discovery
I’m Saikiran Chandha, founder of SciSpace, and I’m excited to introduce you to the SciSpace Agent — your intelligent, end-to-end research AI built to think, write, and create like a trusted lab teammate.
What is SciSpace Agent?
SciSpace Agent is an intelligent, research-focused AI assistant designed to think critically, learn contextually, and seamlessly collaborate, just like a trusted lab teammate.
One prompt launches a full-stack research engine that reads the literature, mines your key insights, runs advanced analytics, and even writes publication-ready drafts. Why It Matters & How It Works?
Instead of opening five different apps, SciSpace Agent runs it all in one session — search>> summary>> figure>> formatted draft>> download in minutes. No tab switching, no copy‑pasting, no lost context.
With a single prompt, SciSpace:
✅ Searches and summarizes literature.
✅ Draft manuscripts with structured insights and citations.
✅ Streamlines grant searching and proposal drafting, and much more!
Who’s It For?
PhD students, academics, grant writers, R&D teams, and anyone working in research or science communication.
Key Features
✅ Integrated ecosystem: Connects seamlessly with 150+ academic tools and 59 databases. ✅ Unified platform: One AI for every research task, from literature reviews to grant proposals. ✅ Real-time workflow: Track progress live and contextually shift between different tasks. ✅ Vast repository: Hosts metadata of 280+ million research papers and 50 million+ open-access full-text PDFs.
Primary Use Cases
✅ Manuscript drafting with journal-compliant formatting, citation suggestions, and AI plagiarism checks ✅ AI‑based peer-review suggestions tailored to your content ✅ Poster & presentation draft generation from summaries or data ✅ Systematic review support: query refinement, synthesis, citation tracking ✅ Semantic prior-art and patent search ✅ Context-aware grant search plus proposal outline drafts ✅ Data-to-visualization generation (charts, infographics) ready for academic use
Over to you!
🎁 We’ve got a little something for you. Get an exclusive $50 off just for the Product Hunt community — use code PHAGENT50 at checkout on the annual plan 🎉
Finally, a way to make papers less like decoding hieroglyphs. Highlight tricky sections text, math, table and get clear, simple explanations. Add follow-up questions, ditch the keyword gymnastics, and let the AI guide your search. Feels like research just got a lot more human.
My qualitative research analysis became effortless today using SciSpace. Clearly structured outputs made spotting patterns significantly easier. Super handy tool!
Whoa, this is exactly what I needed! Struggling through dense research papers has been my academic kryptonite—an AI buddy to break it down? Game changer. Does it handle figures too?
Nice to see an Indian company in AI space, and solid demo video. Good luck.
This feels fantastic for the workflow. Tried it and it literally meant less time stuck, more time thinking. Makes revision feel almost optional and it's making me rethink the way I normally work in the best way
Game-changer! Tried SciSpace Agent for my manuscript today and was blown away — the draft was well-organized, citations were spot-on, and it needed almost no rework.
Worked on a policy brief blending environmental science and behavioral economics. SciSpace actually recognized and navigated the interdisciplinary crossover, suggesting references from both sides. That’s not something generic AI models get right.
@saikiranchandha@shanukumr are there collaboration features planned meaning multiple researchers working in the same “session,” adding comments, or assigning tasks to the AI agent collectively?
I tried generating the peer review of my paper and it followed a very structured process. It also gave me very valuable insights that lead to important corrections in my paper. Thats extremely valuable before conference or journal submissions.
Other features surrounding various types of literature review and report writing are also extremely unique which are first of its kind. Also can generate everything in latex which is the best part!
Congrats team! I see you mention AI-powered peer review suggestions. How does that work? does the system recommend actual human reviewers or just provide AI-driven feedback in a peer-review style?
Just tried SciSpace Agent, and it's one of those rare tools that makes you rethink how work gets done.
I asked it to find papers on how sleep affects mood. Most search tools would dump a list of papers on me and call it done.
But this thing went full researcher mode. Five minutes later: hundreds of relevant papers, interactive tables, comprehensive summaries, and—here's the kicker—it suggested what I'd probably want to do next.
“Want to create visualizations? Build an interactive website explaining the science?”
It wasn't just searching. It was thinking ahead.
This reminds me of those moments when tools get dramatically better. Like when Google made finding information instant. Or when GitHub made code collaboration seamless.
When tools improve by 10x, they don't just make existing work faster. They make entirely new kinds of work possible.
What research becomes feasible when literature reviews take minutes instead of weeks? What insights emerge when you can explore 50 angles instead of just the one you have time for?
We're about to find out.
Congrats to the team—this feels like research having its iPhone moment.
Justa loved it! The agent can think, plan, and execute across complex research tasks.
A single prompt understands my goals and automates every task, including searching, reading, analyzing, and writing, so I can focus less on the grunt work and more on the breakthroughs. It was an increadible upgrade in Scispace.
This tool produces powerful outputs. The output quality is far better than ChatGPT's agent, Manus or Perplexity labs. Especially the way it picks in genuine references and provide them as citations. Huge delta. Really loved the tranparency in steps and the intermediate outputs which can be reused, especially latex manuscripts.
I used SciSpace to refine the abstract logic of a particularly messy argument in my paper. It didn’t just clean up formatting but helped tighten the actual reasoning flow across sections. Wasn’t expecting that.
Just completed a thorough regulatory compliance draft with SciSpace. What usually involved hours of frustrating cross-checking became a structured, compliance-ready document in just an afternoon. Pharma peers, you need this!
Absolutely loved the systematic review feature. It turned months of work into just days. SciSpace nailed it again!
