3DScout Library ◉ 360 Million Records ◉ Updated Daily
The Largest Curated Science & Technology Database for AI — Available anywhere.
Your AI is only as reliable as the data behind it. Generic web crawls return generic answers — and in innovation, generic is expensive. 3DScout, however, is the science and technology database for AI that gives your team something fundamentally different: 360 million structured, authoritative records across patents, publications, clinical trials, grants, tech transfer, news, conferences, and organizations. Specifically, every record comes curated from primary sources, deduplicated, and updated daily. Furthermore, 3DScout runs in a private, offline environment your queries never leave.
As a result, enterprise R&D teams get AI grounded in real science, real IP, and real market intelligence — not the open web.
Access 3DScout the Way Your Team Needs It.
3DScout is available as the data layer inside the Ezassi AI platform — where your team can search, filter, select records, and route them into an AI synthesis session. It is also available for enterprise data licensing and direct integration for teams building their own AI infrastructure.
The platform’s source controls let your team select which data sources ground each query: 3DScout, live web search, your internal ideation corpus, or any combination. For example, you might ground a competitive landscape in 3DScout alone, while a broader trend scan pulls from both. Moreover, AI synthesis applies to whichever sources you activate. The model powering synthesis updates continuously as the AI landscape evolves — so your corpus access and research history stay intact.
Three ways to work with 3DScout:
AI Platform (Managed Interface)
Search 3DScout, select relevant records, and route them directly to an AI synthesis session inside the Ezassi platform. This option is part of the Technology Discovery Software subscription and works best, specifically, for innovation and R&D teams who want a managed, analyst-backed interface.
Enterprise Data License
License the 3DScout corpus for use in your own AI infrastructure. Ezassi delivers it in structured formats compatible with major vector databases and embedding pipelines. Furthermore, scope, update cadence, and licensing terms are all flexible — contact us to discuss what your build requires.
Custom Agent Integration
Ezassi builds custom retrieval agents that query 3DScout against your defined parameters — technology areas, source types, date ranges, and output formats — on a scheduled or event-triggered basis. Results delivered into your systems or the Ezassi platform.
Your Queries Stay Yours. No Exceptions.
Science and Technology Database for AI
In 2026, enterprise AI teams have learned the hard way that not all data infrastructure is equal. Every query sent to an external model or a cloud-indexed corpus is a signal — about your research priorities, your competitive focus, your IP. 3DScout, however, is built on a different premise: your searches stay private, never log for external use, and never train any AI model — ours or anyone else’s.
3DScout is an offline database — not a web search tool dressed up as a corpus. Your queries execute against our hosted environment on AWS infrastructure in the United States and return results without ever touching the open internet. In particular, for organizations with data residency requirements, export controls, or internal AI governance policies, this architecture matters.
Private Offline Database
Queries never reach the open web or any external index.
Zero Model Training
Your search history is never used to train any AI model.
U.S.-Hosted Infrastructure
AWS-hosted, Northern Virginia. DPA and data handling agreements available.
The AI Changes. The Data Doesn't.
The AI model landscape is moving faster than any enterprise procurement cycle. The model that leads today will be superseded within months. Still, your data access, workflows, and existing results should not change every time the AI layer does. Ezassi’s platform is built model-agnostic — so we evaluate and integrate leading models continuously without disrupting any of it.
3DScout is the constant. The AI reasoning layer on top of it is interchangeable by design. Consequently, you are not locked to any single model vendor — if a better model ships, we integrate it. Your corpus, your query history, and your research continuity remain unaffected.
No Vendor Lock-In
Ezassi evaluates leading AI models on an ongoing basis. As a result, the model powering synthesis can update or switch without disrupting your data access or stored research.
Toggleable by Session
Within the AI Assistant, users can select which data sources and reasoning engines to apply to each query. Specifically, 3DScout, web search, your internal ideation corpus, or any combination — all controlled at the session level.
Your Data Is Not the Model's Training Data
Ezassi sources and licenses every record in 3DScout directly from primary institutions. Furthermore, queries you run against this corpus never become training signal for any foundation model. The corpus and the model stay architecturally separate.
Human Review at Every Output Stage
No AI-generated output leaves the Ezassi platform without analyst review. In fact, this is a process commitment, not a disclaimer — results get checked for accuracy, sourcing, and relevance before they reach your team.
360 Million Records. 10 Data Types. One Structured Corpus.
3DScout aggregates from over 100 authoritative primary sources across every major category of science and technology intelligence. Here is exactly what you get.
Data Type | Record Count | Primary Sources |
Publications | 229,037,704 | SpringerOpen, PlosONE, Science Direct, IEEE, PubMed |
Patents | 78,461,649 | WIPO, USPTO, EPO, EAPO, ARIPO + 85 countries |
Trademarks | 8,959,915 | USPTO, Justia, EUIPO (Coming Soon) |
Organizations | 7,055,610 | GRID, Patents, Trademarks |
People / SMEs | 1,940,932 | Patents, Trademarks, Journals |
Conferences | 1,655,499 | Business Wire, IEEE Xplore, Springer, OSTI, Web of Conference |
Clinical Trials | 843,859 | Mayo, ANZCTR, ClinicalTrials.gov, Clinicaltrial.eu |
Grants | 509,992 | NSF, SBIR, Cordis, UKRI, Grants.gov |
News | 31,952,815 | Globe Newswire, Science Daily, TechCrunch, Defense World, CNET |
Tech Transfer | 82,348 | U. of Florida, Stanford, Harvard, U. Penn, MIT, 50+ institutions |
Science and Technology Database for AI
Authoritative. Structured. Current. Offline.
Primary Source Ingestion
Every record comes from the originating institution — USPTO, PubMed, NSF, ClinicalTrials.gov. In other words, Ezassi does not pull from third-party aggregator re-exports. The result is accurate metadata, correct attribution, and no data loss through multiple transformation layers.
Structured and Typed
Records normalize into consistent schemas by data type. A patent record, for example, includes assignee, inventor, filing date, claims, and classification codes. Similarly, a clinical trial record includes sponsor, phase, condition, intervention, and outcome. Your retrieval pipeline, therefore, works with clean, typed fields — not free-form HTML.
Continuously Updated
The database runs on daily, weekly, and monthly update cycles by source. Consequently, you are not working from a static snapshot. New filings, new publications, and new clinical trial registrations flow in as originating authorities publish them.
Offline and Isolated
3DScout is not a web search product. Instead, it is a structured, hosted corpus with no live connection to external indexes or model APIs. What you retrieve is what is in the database — not a real-time synthesis of web content that changes between queries.
Built for the Way AI Teams Actually Work.
RAG and Retrieval Augmentation
Use 3DScout as the knowledge base your retrieval layer queries before generation. When a user asks about a competitor's patent portfolio or the latest clinical evidence for a compound, your system retrieves from 360 million structured records. In contrast, a general web index offers no control over relevance or accuracy.
Grounding and Citation
Every AI-generated answer traces back to a source record in 3DScout — patent number, publication DOI, grant award ID, clinical trial registry entry. In short, your AI cites real sources because it reasons over real sources. Furthermore, an Ezassi analyst reviews every output before delivery.
Targeted Corpus for Fine-Tuning
Filter 3DScout by data type, date range, source, and keyword to extract a structured corpus for supervised learning or domain adaptation. Specifically, whether your focus is materials science, pharma, defense, or energy, you define the scope and receive a clean, structured export compatible with major training pipelines.
AI Generates. Analysts Verify. You Decide.
‘Human in the loop’ is a common claim. At Ezassi, however, it means something specific: our analysts did not just review AI outputs after the fact — they built the reports. Ezassi analysts drew on their research experience to design the report structures, define what good outputs look like, and train the AI on the standards a real intelligence deliverable must meet. As a result, the AI does not generate freely and wait for correction. It generates to a standard that analysts established.
This matters especially in science and technology intelligence. A hallucinated patent claim, a misattributed research finding, or a fabricated clinical outcome is not just inaccurate — it is the kind of error that reaches executive decision-makers and costs real money. Our process exists to prevent these before they occur.
AI Retrieves and Synthesizes
The AI layer queries 3DScout and any other activated sources, synthesizes relevant records, and generates a structured draft output.
Analyst Reviews and Verifies
Ezassi analysts built the report frameworks the AI operates within — defining structure, sourcing requirements, and the criteria every output must meet before it is usable.
Client Receives Verified Output
The verified output delivers to the client with source citations intact. Every claim traces to a record in the corpus. Furthermore, clients can request the underlying source records at any time.
3DScout Is the Science and Technology Database for AI
The Platform Is What You Do With It.
The 3DScout Library is the foundation. The Ezassi AI platform is how your team acts on it. Search 3DScout for relevant records, select the ones that matter, and route them into an AI synthesis session — where they become the grounded context for reports, analysis, and competitive intelligence. Furthermore, leading AI models power the synthesis layer and update continuously as better options emerge.
Five preset report types — Overview, Trend Scan, Deep Insights, Company Profile, and University Profile — build directly on top of 3DScout. Every AI-generated insight traces to a source record. Moreover, every report passes through analyst review before delivery.
Talk to Our Data Team.
Whether you are scoping a data license, evaluating 3DScout for a RAG pipeline, or want to see the corpus inside the AI platform, the right conversation starts here. Tell us what you are building and we will show you exactly what 360 million records can do for it.