# Notus

> AI-powered expert network platform

For full site content, see: https://asknotus.com/llms-full.txt

Notus helps strategy teams, investors, and consultants find precise expertise faster, in more specialized areas, and with higher match quality than traditional sourcing.

## What Notus does

Notus is an expert network platform that uses a proprietary AI intelligence engine to match clients with domain experts in real time. Rather than matching by title or industry alone, the platform identifies advisors by the specific knowledge relevant to each engagement.

## Who it's for

- **Strategy teams** looking for on-the-ground insights to inform decisions
- **Investors** conducting due diligence or sector deep-dives
- **Consultants** who need niche expertise to augment their project teams
- **Industry experts** who want to monetize their knowledge through flexible consulting engagements

## How it works

1. Clients submit a research brief describing the expertise they need
2. The AI engine searches and ranks thousands of expert profiles for relevance
3. Matched experts are invited to participate and choose which engagements to accept
4. Compliance screening ensures confidentiality and conflict-of-interest guardrails
5. Consultations are scheduled and managed through the platform

## Key pages

- [Home](https://asknotus.com/): Platform overview, features, and benefits
- [About](https://asknotus.com/about): Mission and company background
- [Experts](https://asknotus.com/experts): Information for experts on joining the network
- [Blog](https://asknotus.com/blog): Essays on expert sourcing, match quality, and compliance
- [Policies](https://asknotus.com/policies): Platform policies hub
- [Privacy Policy](https://asknotus.com/privacy): Data handling and privacy practices
- [Terms of Service](https://asknotus.com/terms): Platform usage terms
- [Expert Code of Conduct](https://asknotus.com/policies/expert-code-of-conduct): Guidelines for expert participants

## Essays and explainers

- [How expert networks actually work](https://asknotus.com/blog/how-expert-networks-work): Neutral, source-cited explainer for first-time buyers covering workflow, pricing models, where quality comes from, the compliance layer (MNPI / PGR case / NDAs), and the most common buyer FAQs.
- [How to evaluate an expert shortlist before the first call](https://asknotus.com/blog/evaluate-expert-shortlist): Eight-point checklist diligence teams use to pressure-test a shortlist, including match rationale, recency, role evidence, conflicts, screening notes, geography fit, confidence reason codes, and the rejection log.
- [How to write an expert-search brief that gets better matches](https://asknotus.com/blog/expert-search-brief-template): Six-section template covering the decision, perspectives, company universe, title taxonomy, geography and recency constraints, and exclusions.
- [What a good expert match rationale should include](https://asknotus.com/blog/expert-match-rationale-anatomy): Six-part anatomy of a defensible match rationale covering the question, evidence, recency, geography, risk flags, and confidence reason codes.
- [How AI is transforming expert sourcing for due diligence](https://asknotus.com/blog/ai-transforming-expert-sourcing): Why traditional expert networks fail at match quality, and how semantic search, structured screening, and inline compliance change the workflow.
- [Beyond Keywords: why semantic search is the future of expert matching](https://asknotus.com/blog/beyond-keywords-semantic-search): Where keyword search breaks (false positives, hidden experts, context deficit) and what semantic search does differently.
- [Reducing sourcing and compliance risk in expert networks](https://asknotus.com/blog/reducing-compliance-risk): Where risk enters an expert engagement (MNPI, conflicts, NDA enforcement), the Primary Global Research precedent, and how AI-driven workflows make compliance a property of the workflow.

## Contact

- Email: hello@asknotus.com