Comparison
DataStruct AI vs Insig AI
Insig AI suits financial-services teams that want pre-loaded central bank or corporate reporting data. DataStruct AI works on the documents you bring: it runs your requirements, cites the source of each finding and says when support is not there.
Where each is stronger
Where Insig AI is stronger
- Pre-loaded datasets (50+ central banks, 6,000 corporate reports, 300K+ documents)
- FCA partnership and regulatory credibility in UK financial services
- Public company status (LON:INSG) provides transparency
- Macro Miner specialisation for central bank language analysis
- Established in financial services since 2017
Where DataStruct AI is stronger
- 11 industry configurations plus a custom template
- Citation validation and a verification pass on generated answers
- Self-serve GDPR data export and account deletion
- A REST API authenticated by API key, with role-based permissions
- Customisable extraction templates (not just pre-defined)
Which to choose
Choose Insig AI when
- You specifically need their pre-loaded central bank corpus (50+ banks, 2.5M sentences)
- You need their pre-loaded corporate reports corpus (6,000 companies, 300K docs)
- You're an asset manager whose due diligence specifically references FCA partnerships
Choose DataStruct AI when
- You operate outside financial services (legal, healthcare, government, energy, etc.)
- You want self-serve GDPR data export and account deletion
- You want to customise extraction templates to your workflows
- You want a REST API with API keys for your own integrations
- You want evidence-backed AI that links answers to source and flags what it cannot confirm
Feature by feature
Side by side
| Feature | DataStruct AI | Insig AI |
|---|---|---|
| Industry domain packs | Yes | 4 |
| Multi-tenant architecture | Yes | Not known |
| Custom extraction templates | Yes | Not known |
| Custom rule packs | Yes | Not known |
| REST API with API keys | 100+ endpoints | Not known |
| SSO / OAuth | Roadmap | Not known |
| RBAC with granular permissions | Yes | Not known |
| Mobile-responsive UI | Yes | Not known |
| Feature | DataStruct AI | Insig AI |
|---|---|---|
| Citation validation | Yes | Not known |
| Verification pass on AI outputs | Yes | Not known |
| Hierarchical hybrid search | Yes | Not known |
| Claim-level evidence adjudication | YesFounding Customer workspaces | Not known |
| Multi-document search and extraction | Yes | Not known |
| Feature | DataStruct AI | Insig AI |
|---|---|---|
| GDPR data export (self-serve) | YesErasure on request | Not known |
| Encryption at rest (platform-provided) | Yes | Not known |
| Audit log on sensitive actions | Yes | Yes |
| Cookie consent banner | Yes | Not known |
| DPA template available | Yes | Not known |
| Incident response plan documented | Yes | Not known |
| Feature | DataStruct AI | Insig AI |
|---|---|---|
| Tailored onboarding + training | Yes | Not known |
| Sample documents loaded for your industry | Yes | Not known |
| Direct support from the founding team | Yes | Not known |
What we say about Insig AI is drawn from its public materials and may have changed since this page was written. “Not known” means we could not confirm it either way. If anything here is wrong, tell us and we will correct it.
Compare it on your own documents
The most useful comparison is a demo on documents like yours, with one requirement you answer by hand today.