NotedSource
NotedSource Platform, Inc. · Business
NotedSource is an R&D collaboration platform that combines a cited AI research agent, a network of 50,000+ vetted experts, and built-in contract and IP tools.
About NotedSource
What Is NotedSource
NotedSource is a web platform for companies that need outside scientific help and a faster way to read the literature around a hard problem. Four modules sit under one login: an expert network, an AI research agent, a private knowledge engine for internal records, and a hub for contracts and payments.
The company is based in New York and was founded by Kofi Gyasi, a former materials research scientist, and Cory Goodale, a software architect. Their pitch rests on one claim: most R&D delays come from finding the right specialist and from knowledge trapped inside PDFs, not from a shortage of ideas.
The limits matter before you book a demo. There's no self-serve signup and no published price, so a sales call comes first. The expert side is a human service, which means engagements take days rather than minutes.
Getting Started
- Book a demo and describe the technical problem, the timeline, and whether you need literature synthesis, an external specialist, or both.
- Get matched to experts, labs, or vendors through the academic expert marketplace. NotedSource says matches arrive in days, with no RFP process to run.
- Connect internal material if you want the Research Agent to search your own corpus alongside public science. Lab notebooks, CAD files, study reports, and scanned PDFs are all supported.
- Agree on NDA, IP terms, and a statement of work inside the Collaboration Hub, then approve milestones as the work lands.
- Pay on approval and keep deliverables, citations, and expert contacts in one project record.
Product Information
A quick look at NotedSource's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- R&D and innovation teams at mid-size or large companies
- Academic researchers and lab groups looking for paid consulting
- Open innovation and technology scouting leads
Tasks
- Literature reviews before a materials or formulation decision
- Finding a specialist you can't hire full time
- Turning decades of lab records into something searchable
- Setting up external R&D partnerships with legal cover
Scenarios
- A project stalls because nobody in-house can answer one specific technical question.
- Due diligence on a new material, supplier, or research partner before money is committed.
- Repeated research questions that a team wants to run through the same workflow instead of restarting from scratch each quarter.
Key features
Cited Research Agent
Ask a question in plain language and the agent answers across more than 400 million sources, including peer-reviewed publications, patents, paywalled research, and your own records. Every claim comes back with a citation, and answers also surface the researchers and labs behind the work. The company's line is blunt: it doesn't guess, it cites. That's the vendor's claim, and it's the main reason the tool appeals to teams that can't afford a wrong number in a technical memo.
Vetted Expert Network
The human side of the platform is a pool of 50,000+ researchers, technical specialists, labs, and startups, matched to a specific problem instead of a general category. A materials question goes to someone who has published on that material, not to a generalist consultant. Matching is described as RFP-free and measured in days, which is the part that saves the most calendar time compared with cold outreach.
Internal Research Knowledge Engine
This module ingests lab notebooks, study results, CAD files, spectral reports, office files, and scanned PDFs, then makes them searchable next to public literature. Permissions are set per project, and the system can run inside your own cloud. For a company with twenty years of test data in filing cabinets and shared drives, this is often the piece that justifies the contract.
Collaboration Hub
Once a partner is chosen, the hub covers the boring parts: NDA and IP terms, statements of work, milestones, activity tracking, spend, and payment on approval. Contracts that normally bounce between legal and procurement sit in the same project as the deliverables. Researchers get paid without chasing invoices, and your team gets an audit trail.
Security and IP Controls
NotedSource advertises SOC 2 compliance, NDA and IP terms on every engagement, project-level permissions, and a commitment that client data does not leak into public LLMs. Enterprise buyers can also deploy in their own cloud environment. These are the questions procurement asks first in pharma and advanced materials, so the answers are part of the sales pitch rather than an add-on.
Two Plans With a Data Split
Pricing is quote-based and splits into Team and Enterprise. Team gets limited data access, including some closed-access publications, plus the full expert network and standard security. Enterprise unlocks full data access, knowledge graphs, and stronger reasoning for deep research. Neither plan publishes a number, so budget conversations start with a demo.
Pros and cons
Pros
- One vendor covers literature search, external experts, internal document search, and contracting, which removes the usual handoffs between four tools.
- Answers arrive with citations and with the names of the researchers behind them, so a finding can be checked by a human before it reaches a decision.
- The expert network is genuinely academic, with labs and startup teams included, which suits deep tech work better than generalist consulting marketplaces.
- Contract, NDA, and payment handling is built into the project, a real time saver for teams whose legal review is the bottleneck.
- Private cloud deployment and project-level permissions answer the security questions that block most AI pilots in regulated industries.
Cons
- No published pricing and no free tier. You can't test the research agent on your own before a sales conversation, which slows down evaluation.
- The cheapest plan restricts data access, so the full value of the cited research agent sits behind the Enterprise quote.
- Expert engagements are billed as human projects, and those costs are separate from the platform subscription, so the total budget is hard to predict.
- API availability is undocumented. Teams that want NotedSource wired into an internal tool or data pipeline have no public path to check.
Frequently asked questions
It combines four things: a searchable network of academic and industry experts, an AI research agent that answers with citations, a private search engine for your own lab records, and a hub for contracts and payments. Companies use it to move from a technical question to a signed external project without leaving one platform.
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