Our research on Silvi started not with the product itself but with a pricing page that immediately separates it from most of what we cover in this category. Four plans, monthly billing toggle, no credit card required to start. That kind of setup tells you something about who's being targeted before you read a single feature bullet.
What is Silvi?
Silvi is a web-based tool built specifically for systematic literature reviews. Not general AI research. Not note-taking. Systematic reviews, the structured, auditable, methodologically rigorous kind that show up in academic journals and clinical guidelines.
It's based out of Copenhagen and markets itself to researchers, academics, and scientific teams. The workflow covers the full review pipeline. You pull studies in from databases, screen them against your inclusion criteria, extract data from PDFs with direct highlighting, and then organize everything into tables and plots. That's the loop.
No mobile app. No browser extension. Web-only, which is fine for structured work, but something to flag if your workflow moves around.
Silvi Features: Search, Synthesis & Research Capabilities
PubMed, OpenAlex, and ERIC are built in directly, meaning you can run a search and import results without leaving the tool. Zotero and EndNote imports are supported too, and a few others. That covers most of what academic researchers actually need. Not everything, but most.
The PDF highlighting system is what Silvi pushes hardest in its own docs. You highlight text directly in the paper, and the tool stores both the extracted data and the source location automatically. For systematic reviews, that traceability is the whole point. You can always trace what you pulled and from where, which isn't decorative. It's methodologically necessary.
One thing we kept seeing in the vendor documentation: the AI screening suggestions and AI-assisted data extraction are available from the paid Rapid plan, which starts at €40 per month billed monthly, or less on annual billing. The free Basic plan supports manual screening and transparent data extraction, but not the AI features. Worth being clear about that, because the pricing page bundles "AI for screening" and "AI for data extraction" explicitly under Rapid, not Basic.
Honestly, the "you review what the AI extracts" philosophy is the right one for science. You stay in control. That's not how every AI tool approaches it.
Collaboration features cover task assignment, blinding of reviewer decisions, and conflict resolution. Blinding in particular is methodologically important for double-blind screening, and it's good that it's there. The Plus plan at €120 per month adds PubMed integration and collaborative reviews as distinct features, which suggests Silvi is pitching the higher tier at teams rather than solo researchers.
Silvi Research Quality: How Accurate and Trustworthy Is It?
Here's the problem. Silvi isn't listed on G2, Capterra, or Trustpilot. No verified user reviews anywhere we looked. That's not a death sentence for a niche academic tool, but it makes quality assessment harder than we'd like.
What we do have is the product design as evidence. The emphasis on transparent, source-linked extraction suggests the team understands what scientific rigor actually requires. They're not summarizing papers. They're building an audit trail. That tracks with what good systematic review methodology demands.
We're cautious, though. AI extraction in systematic reviews is still an area where errors carry real consequences. No independent benchmarks we could find. Whether the AI's baseline extraction quality is good enough to save time without introducing noise, we can't say yet. No one outside the vendor has published anything on it that we could cross-reference.
Silvi Source Coverage: What Does It Actually Search?
PubMed is the big one for life sciences. OpenAlex is broad and open. ERIC covers education research. That combination is genuinely useful for a tool at this price point.
What's missing is direct integration with Cochrane, Embase, and Scopus. Silvi does publish instructions for importing records from Cochrane and Scopus using RIS files, and Ovid access can get you into Embase indirectly. But Silvi does not provide a direct integration with any of those three by name. Clinical researchers doing medical systematic reviews may find the database coverage thin. Cochrane in particular is essentially required for health intervention reviews.
The import system compensates somewhat. Workable. Not clean.
Is Silvi Easy to Use for Researchers and Professionals?
The free Basic plan requires no credit card. That's a real signal about the onboarding philosophy, not just a marketing line.
The screening workflow supports bulk screening from the Rapid plan upward, which matters when you're working through several hundred papers and need to shift between fast passes and careful reads. Academic tools often force one mode. Silvi apparently doesn't.
We didn't find significant complaints about usability anywhere, but the thin feedback trail cuts both ways. Could mean the tool is intuitive. Could mean the user base is small enough that patterns haven't surfaced yet. We lean toward the former given the product design, but we're not certain.
Silvi Pricing: Is It Worth It vs Free Alternatives?
Four tiers. Basic is €0 per month, with unlimited reviews, manual screening, and transparent data extraction. No credit card required. Rapid is €40 per month billed monthly, adding bulk screening, AI screening, and AI data extraction. Plus is €120 per month billed monthly, layering in PubMed integration, collaborative reviews, and blinding of reviewer decisions. Enterprise is custom, billed annually, with custom integrations, Single Sign-On, and flexible invoicing.
Compared to Covidence, which charges per review and gets expensive fast for teams, the Plus tier at €120 per month looks reasonable if you're running multiple reviews simultaneously with a full team. That's the comparison that matters most in this category.
The refund policy isn't published anywhere we looked. Annoying. Especially for academic researchers working on grant money with tight budgets. Live chat support is Plus and Enterprise only. Basic users get email. Not great.
Silvi vs Covidence: Which AI Research Tool Is Better?
Covidence is the established name in systematic review software. Well-funded, widely adopted by universities, and it has Cochrane's backing. That last point matters if your review is heading toward Cochrane publication.
Silvi is cheaper and has AI extraction built more natively into the workflow. Covidence's AI features are newer and feel more bolted on, from what we've seen in the docs and what little user commentary exists. Silvi's PDF highlighting and transparent data linking look more native to the core workflow.
The gap in database coverage is where Covidence still wins, particularly for clinical teams. If you're in education research or need OpenAlex's breadth, Silvi starts to look more competitive. If your institution already has Covidence seats purchased, the switching cost probably isn't worth it unless you have a specific reason.
For teams comparing alternatives in the broader research tool space, Elicit is worth a look too, though it approaches systematic reviews differently and leans more toward question-based synthesis than structured extraction workflows.
Who Should Use Silvi? (And Who Shouldn't)
Academic researchers running education or social science reviews. That's the natural fit. The ERIC integration alone signals where they're aiming.
Small research teams doing multiple reviews simultaneously will get more out of the Plus pricing than paying per-review elsewhere. Solo researchers on the Basic plan have a real option here. Unlimited reviews at €0 is genuinely useful, not just a lead magnet.
Clinical researchers who need direct Embase or Cochrane access. Not the right tool, or at least not a complete one. Plan around the RIS import workaround or look elsewhere first.
Silvi Review Verdict
Silvi is a focused tool doing a specific job. It doesn't try to be a general AI research assistant. It won't write your introduction or find you papers across the open web. What it does is manage the structured, methodological work of a systematic review, and it does that with more thought than most tools at this price.
The transparent extraction model, with source-linked highlights and audit traceability, is the best thing about it. Science requires that. Silvi builds it in from the start rather than treating it as a premium add-on.
What holds it back: the database gaps are real, the independent review trail is essentially nonexistent, and the refund policy silence is a small but genuine annoyance. AI extraction quality is unverified by any external source we found. Fair. But worth knowing before you build a review workflow around it.
For the price, trial it on the free plan. We've seen worse tools charge more with less justification.
Frequently Asked Questions
Does Silvi work for medical systematic reviews?
It can, but with caveats. The PubMed integration is solid. The absence of direct Embase or Cochrane access is a real gap for clinical researchers. You can import from those databases via RIS files or through Ovid, which adds steps to an already labor-intensive process. Workable. Not ideal.
Is Silvi's free plan actually useful, or is it limited to the point of being useless?
Based on vendor documentation and what the pricing page shows, the free Basic plan includes unlimited reviews, manual screening, and transparent data extraction. That's more than a teaser. The AI features, specifically AI screening and AI data extraction, are gated behind the paid Rapid plan. So the free tier is genuinely functional, but not the full product. Check that distinction before assuming everything's included.
How does Silvi compare to Elicit for systematic reviews?
They're solving related but different problems. Elicit is stronger for open-ended question synthesis and quick literature scans. Silvi is built for the full structured review pipeline, screening workflows, collaborative blinding, and PRISMA-compatible outputs. If you need a full audit trail and team collaboration, Silvi is the more relevant choice. Early-stage exploratory research, Elicit may be faster.
