# Consensus vs DeepHow

Consensus records 6,014,388 monthly visits with -1.2% month-over-month growth and Freemium pricing. DeepHow records 4,298 monthly visits with -24.5% growth and Enterprise Quote pricing.

| Metric | [Consensus](https://openaitools.app/tool/consensus) | [DeepHow](https://openaitools.app/tool/deephow-com) |
| :--- | :--- | :--- |
| Website URL | https://consensus.app | https://deephow.com |
| Categories | AI Search Engine, AI Research Tool, AI Papers, AI Article Summarizer | AI Knowledge Management, AI SOP, AI Knowledge Base, AI Video Generator |
| Pricing Model | Freemium | Enterprise Quote |
| Monthly Visits | 6,014,388 | 4,298 |
| MoM Growth Rate | -1.2% | -24.5% |
| Primary Market | United States | United States |
| Direct Visits | 2,918,713 | 1,703 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 31 | 0 |
| Supported Platforms | Website | Website |

## Consensus

Consensus works like a scholarly search engine supercharged by AI. Instead of returning a flat list of PDFs, you ask a natural-language research question and Consensus extracts claims from relevant papers, then shows you what the studies actually find. A Consensus Meter summarizes the weight of evidence for yes/no questions, so you can see at a glance whether scientists largely agree, disagree, or remain divided.

The platform indexes hundreds of millions of peer-reviewed papers spanning medicine, biology, psychology, economics and more. Answers link straight back to the source studies, and you can filter by study design, journal quality, sample size and publication year to separate stronger evidence from weaker signals. Features like Deep Search, Topic Synthesis and Skills let researchers build a working knowledge base over time rather than starting from scratch on every query.

Consensus is designed for researchers, clinicians, students and analysts who need trustworthy signals from the scientific record without drowning in irrelevant results. A free tier gives limited AI-powered searches each month, while paid plans unlock unlimited use, advanced filters and deeper synthesis.

**Pricing & Plans:** Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options.

- **Evidence-grounded answers:** Ask a research question in plain language and get answers synthesized from peer-reviewed studies, with each claim linked to its source paper.
- **Consensus Meter:** A visual summary shows how the scientific literature leans on a yes/no question, indicating agreement, disagreement or mixed evidence.
- **Powerful filters:** Narrow results by study design, sample size, journal quality, publication year and more to prioritize high-quality evidence.
- **Topic synthesis and Deep Search:** Aggregate findings across many studies into structured summaries that map what is known and where the gaps are.
- **Research workspace:** Save papers, organize sources and build a persistent knowledge base for literature reviews and ongoing projects.

**Strengths:** Answers cite real peer-reviewed papers, so claims are verifiable; Consensus Meter makes it easy to gauge scientific agreement at a glance; Rich filters help separate high-quality evidence from weaker studies; Fast, clean interface designed around research workflows

**Limitations:** Free tier caps the number of AI-assisted searches per month; Coverage is strongest for STEM and health fields, lighter for some humanities topics; It guides you toward sources but is not a substitute for reading full papers

[Profile (Markdown)](https://openaitools.app/tool/consensus.md)

## DeepHow

DeepHow is an enterprise software platform aimed at manufacturers, pharma and electronics assemblers that want to standardize how frontline work is done. Its core idea is a closed loop: the same captured expertise that trains new operators also trains AI models, which are then used to check that real work matches the standard. That loop runs through knowledge capture and transfer, on-demand visual inspection, live SOP verification, automated time-and-motion studies and process drift analysis.

The product positions itself as "physical AI for operational excellence" rather than traditional e-learning. Camera feeds and video become structured, step-by-step job aids; vision AI validates execution results and flags deviations before they become quality or safety incidents. A PharmaCloud variant packages the same capabilities for pharma, biotech and medical device manufacturers, and a Training Within Industry module supports structured on-the-job instruction.

DeepHow is sold as an enterprise solution with a demo-led sales motion, integrations with existing systems, and customer stories citing throughput gains, onboarding cost reductions and measurable first pass yield improvements. Public self-serve pricing is not published, so buyers should request a quote.

**Pricing & Plans:** Enterprise, demo-led pricing. DeepHow does not publish self-serve tiers; teams request a demo and get a quote. Trial arrangements may be available during evaluation.

- **AI knowledge capture and transfer:** Record expert operators on video and let AI structure the material into searchable, reusable step-by-step know-how.
- **Live SOP verification:** Verify each step as it is performed, catching skipped or out-of-sequence work before it becomes a quality issue.
- **On-demand visual inspection:** Vision AI validates execution results, including temperature-critical and sequence-critical tasks.
- **Time and motion AI:** Automatically segments tasks to find waste, balance lines and remove manual stopwatch studies.
- **Process drift analysis:** Shows where work has changed, what it costs, and which variation should become the new standard.

**Strengths:** Closed loop from knowledge capture to verified execution, not just a video library; Strong enterprise references in manufacturing, pharma and electronics assembly; Computer vision checks work in real time rather than only after the fact; Reduces reliance on retiring experts and manual time studies

**Limitations:** No public pricing or free self-serve tier, so evaluation requires a sales conversation; Value depends on camera and video capture being practical in the production environment; Deployment is an enterprise change program rather than a quick standalone tool

[Profile (Markdown)](https://openaitools.app/tool/deephow-com.md)

## Frequently Asked Questions

### How do Consensus and DeepHow compare in monthly traffic?

Consensus has 6,014,388 monthly visits, while DeepHow has 4,298. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Consensus has a month-over-month growth rate of -1.2%; DeepHow has -24.5%.

### How does pricing compare?

Consensus: Freemium. Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options. DeepHow: Enterprise Quote. Enterprise, demo-led pricing. DeepHow does not publish self-serve tiers; teams request a demo and get a quote. Trial arrangements may be available during evaluation.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Covers general web sources alongside academic papers, but lacks specialized scientific synthesis metrics and consensus ratings. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | Completely free access to a massive scholarly index, but offers less automated natural-language evidence synthesis than Consensus. | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Provides deeper PDF reading and interactive literature analysis tools, but is less focused on quick evidence aggregation. | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Performs advanced systematic review data extraction and evidence synthesis, but has a more complex interface than Consensus. | [.md](https://openaitools.app/tool/elicit.md) |
| 6 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 7 | [Rayyan](https://openaitools.app/tool/rayyan) | 1,116,437 | +7.9% | Freemium | AI-assisted systematic review software for screening, extraction, and evidence synthesis at scale | [.md](https://openaitools.app/tool/rayyan.md) |
| 8 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Tracks how papers are cited with Smart Citations to gauge reliability, but features a less direct Q&A synthesis. | [.md](https://openaitools.app/tool/scite.md) |
| 9 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis. | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 10 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Visualizes research connections through interactive graphs for literature discovery, but does not provide direct Q&A synthesis. | [.md](https://openaitools.app/tool/connected-papers.md) |

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Source: https://openaitools.app/compare/consensus-vs-deephow-com

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