Elicit

Elicit

@elicit.com

The AI research assistant http://elicit.com • Demos https://demos.elicit.com • Jobs http://elicit.com/careers

105 followers0 following163 posts

Elicit is the best search API we tested for finding scientific literature. We tested Elicit against Exa, Perplexity, Brave, and Parallel on BioASQ. Elicit had the highest recall at every result depth we could fairly compare. See the full results: elicit.com/blog/compar...

Introducing Shared Projects. Shared Projects give teams a persistent home for related sessions, files, sources, artifacts, and prior work, so research knowledge can accumulate over time. Read the blog here: tinyurl.com/yc35tsdz

Introducing Collaborative Sessions and artifact editing. Multiple researchers can now work with the same AI agent and shared context. Teammates can comment on artifacts, request edits directly on the work, interact with the agent themselves, or spin up a side thread. Blog here: tinyurl.com/yc35tsdz

Introducing Skills. Teams can now turn expertise into repeatable research processes that anyone in the organization can use. The best part: Create your own or use the prebuilt Skills based on industry best practices. Blog: elicit.com/blog/ai-pow...

We’re proud to announce our partnership with Anymize. You can now use Elicit within Anymize’s platform. Anymize helps organizations protect sensitive information before it reaches Elicit. Learn more at anymize.ai/en/product/... Here’s what that looks like in practice 👇

In our upcoming webinar, we’ll show how Elicit Research Agent can go from research to a decision. Join us for the webinar: Using Elicit to Make More Rigorous Decisions Thursday, August 20th 9AM PT Presenter: Kadir Annamalai, Product, Elicit Save your spot today crowdcast.io/c/ux323o9p85k1

Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

View full thread

We created BioDecisionBench, a benchmark evaluating LLMs on reasoning failures in high-stakes pharma decisions. Elicit highlights more key considerations for decisions (76.7% coverage in Elicit Smartest mode vs. 68.8% for Claude Opus 5 Max). Read the eval blog: elicit.com/blog/biodec....

Early customers are already using Research Agent to prioritize indications, shape clinical strategy, design trials, develop laboratory methods, inform market entry, and strengthen patent strategy. Read the launch post and see examples of Research Agent in action: elicit.com/blog/introd...

Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

View full thread

Capability 4: Transparency by default Trust and defend every decision with transparent methods trail and sentence-level citations.

Capability 5: Knowledge that compounds over time Improve each decision with Projects that keeps sources, context, instructions, and outputs connected in a single knowledge base.

Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

View full thread

Capability 2: Diverse data sources Make decisions based on the full picture by synthesizing evidence across scientific literature, clinical trials, patents, regulatory and commercial sources, the web, and your own internal data.

Capability 3: Decision-ready outputs Move from research to decisions in a single workflow by turning evidence into fully cited reports, tables, analyses, visualizations, slides, and documents.

Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

We built the Research Agent around five key capabilities: Capability 1: A harness with reasoning principles Reason with greater confidence with built-in models trained on BioDecisionBench, a benchmark designed to evaluate reasoning quality and handle uncertainty around decisions in pharma.

The future of agentic AI depends on trustworthy information infrastructure. AI agents can search, reason, and generate answers, but need the right evidence to do so well. That is why we built the Elicit API and MCP server. Watch the demo recording: youtu.be/MSwk9DEKpYA

youtube.comAI Agents Grounded in Evidence: A Live Demo of the Elicit API and MCP ServerEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

We are one day away from a live demo of the Elicit API and MCP server. We'll cover the Search API, Reports API, Systematic Review API, and grounding Claude and ChatGPT with Elicit. Register to attend live or get a copy of the recording: lnkd.in/g47XBm8x

Join us for a live demo of the Elicit API and MCP server. Title: AI Agents Grounded in Evidence: A Live Demo of the Elicit API and MCP Server Presenter: Panda, Software Engineer at Elicit Date and Time: Wednesday, July 29, 2026, 10am PT Register: crowdcast.io/c/dxk71bqnsq2w

We rebuilt Elicit's search from the ground up and tested whether it actually was better. On BioASQ benchmark, Elicit had the highest recall at every result depth we tested from 10 to 200 results. Read the full write-up: elicit.com/blog/evalua...

Over the past year, Orion Pharma, a leader in human and veterinary medicines, has gone deep with Elicit. Serhii Vakal, PhD, Lead ML/AI Scientist at Orion Pharma, shared a compelling story about how he used Elicit. Read the full case study: elicit.com/customer-st...

The Elicit API and MCP server are now available and bring Elicit’s trusted capabilities to your agents and workflows. Three endpoints are now available: Search, Reports, and Systematic review. All three also work over MCP with Claude, ChatGPT, Gemini or any other MCP-compatible client. Demo below.

View full thread

Systematic review API: The most powerful of the three APIs is the Systematic Review API. This API lets you run a full systematic review end-to-end while giving you control over every step across search strategy, screening criteria, data extraction parameters, and reporting.

The Elicit API and MCP server are now available and bring Elicit’s trusted capabilities to your agents and workflows. Three endpoints are now available: Search, Reports, and Systematic review. All three also work over MCP with Claude, ChatGPT, Gemini or any other MCP-compatible client. Demo below.

Search API: This API allows you to search 138 million academic papers and 545K clinical trials using either semantic or keyword search. Our API had the best search results (paper recall) when compared against four of the most popular search tools on the BioASQ benchmark.

Reports API: This allows you to submit a research question and generate the answer as a fully cited report.

Join Sheila Leunig, our General Counsel, and Zen Jelenje, Founder, Nascent Studio & former Data Solutions Lead, Elsevier, for a fireside chat covering data use and AI licensing in practice. AI, Copyright, and Data Rights July 14, 2026, 9:15 am PT Register: cca.st/5b0xx25xfn16

Our Eval team's fireside chat is one day out. Beyond Benchmarks: Lessons from Building AI Evals in the Real World Tuesday, June 30, 10am PT (1pm ET) Save your spot: lnkd.in/gBsEprKr

Elicit is now in Anthropic's Connectors Directory. You can find it and connect in one click. Once connected, Claude can search 138M+ papers and run grounded literature reviews without leaving the chat. Elicit is also an app in ChatGPT. For Copilot, Gemini, and other MCP clients: docs.elicit.com.

Our Eval team is hosting a fireside chat on what evaluation looks like in the real world. Title: Beyond Benchmarks: Lessons from Building AI Evals in the Real World Date: Tuesday, June 30, 2026 Time: 10am PT (1pm ET) Save your spot today: crowdcast.io/c/xkrzz4885sak

The idea: Turn the target review into a living causal model.The model maps out what has to be true for a program to work, with each link tied back to the evidence behind it, so a researcher can interrogate any step. The output is a go / no-go decision rather than a summary.

This is early thinking and the product is in development. We're also running a deeper-dive webinar soon, details next week.

A fair question about any data extraction tool: can you actually trust what it pulls? Farhad Shokraneh, PhD, an SLR methodologist ran a scoping review for a policy brief and used Elicit to check the accuracy of each data point. Below he shares his experience with Elicit.

Elicit co-founder and COO Jungwon Byun breaks down how to evaluate AI for evidence and research with more rigor: - Where old evaluation methods fail - A framework for evaluating superhuman AI - How to catch confirmation bias and sycophancy in AI reports - How to measure impact beyond time saved

Monday's webinar is officially at capacity. If you didn't get a spot, fill out the form below and we'll send you the recording after the session. forms.gle/gqag7u4K42p... Jungwon will cover how to evaluate superhuman AI, why old metrics break down, and what a rigorous framework looks like.

We're heading to DIA from June 14-18 in Philly. Harry Johnson and Prem Mohanty from our team will be there for the week. Come find us at booth # 2026. We'd love to talk about how AI is actually changing your work.

Can Elicit's full-text screening recall every relevant paper in a systematic review? A sample of 74 Cochrane reviews and 377 studies was used for this evaluation. Elicit's results: Paper-level recall: 99.5% Per-criterion accuracy: 94.8%

As AI scales from basic tasks to complex automation, the ability to rigorously evaluate these tools is becoming the ultimate competitive advantage for life sciences teams. On Monday, June 15th, join Elicit Co-founder and COO Jungwon Byun for a live session. Register -> tinyurl.com/3ktyv94t

Event Details: Title: What's next in AI for life sciences: Evaluating superhuman AI Date: Monday, June 15, 2026 Time: 10AM PDT (1PM EDT) Speaker: Jungwon Byun, Co-founder and COO, Eicit Secure your spot today -> tinyurl.com/3ktyv94t