FactSet vs MioTech (2026)
These two solve coverage problems of opposite kinds: FactSet licenses what has already been reported across global markets, and MioTech exists because across Asian markets the sustainability data is largely not reported at all, so its models infer signals from more than 12,000 sources across over 800,000 companies. The regulatory positions then invert what the size difference would predict. MioTech names five disclosure regimes across two continents that its software produces compliance output against, from the Hong Kong exchange's disclosure guide to European product carbon footprint standards from 2026, and roughly half its clients are listed companies using it for their own reporting. FactSet grades C on regulatory status in the AI FinTech Index, because a listed issuer is a company registered with a securities regulator rather than a supervised product. Where they separate hardest is residency. FactSet describes how its generative models run in unusual detail, private instances or private endpoints with public endpoints ruled out and confidential data purged sixty days after termination, while naming none of them. MioTech publishes no hosting provider, region or commitment at all, across mainland China, Hong Kong and Singapore.
- You are buying the reference estate itself. More than 8,200 institutional clients and over 218,000 users across the buy side, sell side, wealth management, private equity and corporates, with fundamentals, pricing and regulatory data reachable through one conversational interface.
- You want the generative deployment terms in writing. All models run as private instances in the vendor's own cloud or against private endpoints of commercial providers, public endpoints ruled out, zero data retention stated with hosting platforms, logs held twenty four months and confidential data purged within sixty days of termination.
- The output has to land in the deck and the spreadsheet. Pitchbook assembly with semantic search across news, transcripts and filings, charting in more than twenty formats, branded slide assembly and a tombstone generator, all wired directly into the productivity tools bankers already use.
- Your coverage problem is Asian and the data is not reported. Natural language processing mines more than 12,000 public sources across over 800,000 companies and a knowledge graph cross references supply chain, shareholding and investment data so correlations surface what disclosure does not state.
- You need output built against named disclosure regimes. MioTech's software produces compliance output against the Hong Kong exchange's disclosure guide, Chinese green investment guidelines, the securities regulator's shift to mandatory disclosure, European deforestation free requirements and European product carbon footprint standards from 2026.
- Half the value is that your own company has to report too. Around 2,000 clients are served and roughly half are listed companies using the platform for their own regulatory disclosure, carbon accounting and climate analytics rather than only for investment research.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. FactSet and MioTech are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| FactSet | MioTech | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 1978 | 2016 |
| Headquarters | Norwalk, Connecticut, United States | Hong Kong |
| Website | www.factset.com | www.miotech.com |
Side by Side
| Axis | F FactSet |
M MioTech |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
FactSet
FactSet is a Norwalk based financial data and analytics platform serving more than 8,200 institutional clients and over 218,000 users across the buy side, sell side, wealth management, private equity and corporates, with a shipped generative layer covering a conversational knowledge agent, a pitchbook builder, an embeddable conversational interface and packaged data feeds. The AI FinTech Index grades it B on deployment and data residency, B on GLBA and data privacy posture, B on model risk management, B on autonomy and oversight, B on model supply chain and B on core systems integration, documenting five of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Its deployment disclosure is unusually precise, stating that all models run as private instances or private endpoints with public endpoints ruled out, zero data retention with hosting platforms, and confidential data purged sixty days after termination, while naming no model or provider. Regulatory status, governance and bias and security certifications are graded C.
Source: AI FinTech Index, 2026
MioTech
MioTech builds sustainability and ESG data infrastructure for Asian capital markets, using natural language processing and a knowledge graph to mine more than 12,000 public sources across over 800,000 companies, then combining that with supply chain, shareholding and investment data to produce ratings, indexes, real time risk monitoring and research. The AI FinTech Index grades it A on operational and outcome evidence, with B on regulatory status, model risk management, autonomy, core systems integration and model supply chain, documenting four of the nine regulatory axes the index tracks. Its regulatory grade rests on naming five disclosure regimes across two continents its software produces compliance output against, and roughly half its 2,000 clients are listed companies using the platform for their own regulatory reporting. Governance and bias, GLBA posture, liability and recourse, security certifications and deployment residency are each graded C.
Source: AI FinTech Index, 2026
Common questions
Is FactSet better than MioTech?
They solve coverage problems of opposite kinds. FactSet collects and licenses what is already reported across global markets and sells access to it with a generative layer on top. MioTech exists because in Asian markets the sustainability data is largely not reported at all, so its models infer signals from more than 12,000 public sources across over 800,000 companies. A global institution with Asian exposure could plausibly run both, using FactSet for the reference estate and MioTech for the layer FactSet cannot collect because nobody filed it. The question is whether your gap is access to reported data or the absence of it. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Which one engages with named regulatory regimes?
MioTech names five and FactSet names none, which inverts what the size difference would suggest. MioTech's software produces compliance output against the Hong Kong exchange's disclosure guide, the Chinese asset management association's green investment guidelines, the securities regulator's shift from voluntary to mandatory disclosure for listed companies, European deforestation free product requirements and European product carbon footprint standards taking effect from 2026, and roughly half its clients use the platform for their own regulatory disclosure. FactSet grades C on regulatory status in the AI FinTech Index: it is a listed issuer, which is securities registration as a company rather than supervision of what it sells. Neither holds a licence for the products graded here.
Where does our data actually sit?
FactSet tells you how and not whose; MioTech tells you neither. FactSet states that all models run as private instances in its own cloud or against private endpoints of commercial providers with public endpoints ruled out, zero data retention agreed with hosting platforms, logs held twenty four months and confidential data purged within sixty days of termination, while never naming which foundational models or which providers those endpoints belong to, and geographic residency is not addressed. MioTech publishes no hosting provider, region or residency commitment, which is a live question given it operates across mainland China, Hong Kong and Singapore, jurisdictions with materially different and in China's case strict data export rules. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade FactSet and MioTech?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified. Across the nine regulatory axes, FactSet documents five at A or B and MioTech four, against an index average of 2.93 across 489 vendors, and the AI FinTech Index publishes no composite score. FactSet holds B on deployment and data residency, GLBA posture, model risk, autonomy, supply chain and integration, and grades C on regulatory status. MioTech holds A on operational evidence, with B on regulatory status, model risk, autonomy, integration and supply chain. Both grade C on governance and bias and security certifications.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Capital Markets & Research AI page.
The residency question separates these two more sharply than any feature. FactSet describes where and how its generative models run in unusual detail while naming none of them, so a buyer knows the deployment terms and not the counterparties.
MioTech publishes no hosting provider, region or residency commitment at all while operating across mainland China, Hong Kong and Singapore, jurisdictions with materially different and in China's case strict data export rules, holding extensive mainland company information for a client base that is majority non mainland.
On evidence, FactSet's scale figures come from investor communications from a listed company, which carries legal exposure a marketing claim does not, though none of it evidences the generative products specifically. Neither publishes a security attestation or certification.