Boosted.ai vs Terminal X (2026)
Both vendors sell the same dangerous convenience, a research system tuned to how your firm already thinks, and neither says what it does about the risk that creates. Boosted.ai monitors. Alfa learns a user's preferences and narrows into agents that watch what the firm cares about and act on stated goals, proactive rather than responsive. It is built on nine years of bringing quantitative technique to fundamental investors, with in line citations named explicitly as the engineering response to hallucination and voice agents as the newest interface. Terminal X contextualizes. It indexes the firm's own estate, Excel models at cell level and memos, emails and subscribed research at sentence level, alongside more than a hundred million external sources. Its argument is that general assistants fail investment work because they know nothing of the house thesis, risk limits or committee preferences. It routes each query as hundreds of micro steps across whichever of the GPT, Claude and Gemini families is measuring best for the task. The maturity gap is the visible difference. Boosted has more than 300 active clients whose users manage trillions, an investor who is also a client, and an open commercial posture, with features testable without a paid account and pricing self directed in the application. Terminal X is years younger and vouched for more by third parties than by itself: a securities group's venture arm, DG Daiwa Ventures, and a database supplier's production case study, with no customer count or name published. The shared silence is the finding. A system trained to surface what you care about will confirm what you already believe, at machine speed and around the clock, and the failure mode is the omission you never see. Neither vendor publishes anything on how its agent surfaces disconfirming evidence.
- Evidence and tenure decide it. Nine years in market, more than 300 active clients whose users manage trillions, and an investor who is also a client, which is a customer putting capital behind the product it uses.
- You can try it and price it without a call. Key features work without a paid account, and pricing is self directed inside the application.
- Monitoring is the job you are hiring for. Proactive agents watch the portfolio and the market for what your firm cares about, with commentary creation, in line citations and voice as interfaces.
- Your own artifacts are the advantage you want indexed. Excel models read at cell level, memos, emails and subscribed research at sentence level, so the agent reasons from the house frameworks rather than public material alone.
- You want routing, not a single model bet. Queries decompose into hundreds of micro steps routed across the GPT, Claude and Gemini families by measured task performance, with new frontier models integrated as released.
- Asia is in your footprint. Stated activity across the United States, Japan and Korea, Japanese institutions described by an investor as moving to full deployment, and a securities group's venture arm, DG Daiwa Ventures, behind the round.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Boosted.ai and Terminal X 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
| Boosted.ai | Terminal X | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2017 | 2022 |
| Headquarters | Toronto, Ontario, Canada | New York, New York, United States |
| Website | boosted.ai | www.terminal-x.ai |
Side by Side
Select any grade to read the note behind it.
| Axis | B Boosted.ai |
T Terminal X |
|---|---|---|
| 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 |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Boosted.ai
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Product / capability
Boosted.ai launched Alfa Prime, a multi model AI investment committee that pressure tests an investment idea.
Source
Terminal X
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Safety / governance
Terminal X published its first Terminal X Bench scorecard for new frontier models, grading Opus 5.5, Sol 6 and Luna 6 separately on retrieval, processing and answer generation using medium thinking, the same test sets and the same grading prompts.
Source
The short version of each
Boosted.ai
Boosted.ai runs preference learning research agents built on nine years of bringing quantitative technique to fundamental investors. Alfa learns a user's preferences and narrows into agents that watch what the firm cares about and act on stated goals, proactive rather than responsive. In line citations are named explicitly as the engineering response to hallucination, and voice agents are the newest interface. According to the AI FinTech Index, its commercial posture is open: more than 300 active clients whose users manage trillions, features testable without a paid account and pricing self directed in the application. A system trained to surface what you care about will confirm what you already believe at machine speed, and nothing published describes how disconfirming evidence surfaces. Nothing states what an agent may do unilaterally versus recommend, and no provider is named for the generative or voice layers.
Source: AI FinTech Index, 2026
Terminal X
Terminal X indexes a firm's own estate, Excel models at cell level and memos, emails and subscribed research at sentence level, alongside more than a hundred million external sources. It routes each query as hundreds of micro steps across whichever of the GPT, Claude and Gemini families is measuring best for the task, on the argument that general assistants fail investment work because they know nothing of the house thesis or risk limits. According to the AI FinTech Index, the company is young and vouched for more by third parties than by itself: a securities group's venture arm, DG Daiwa Ventures, and a database supplier's production case study, with no customer named. Its design makes accumulation explicit, since every indexed file builds the proprietary intelligence. Nothing is published on isolation between competing firms or on which content categories, including confidential memos, may reach which external provider or jurisdiction. No result is published from the continuous measurement its routing implies.
Source: AI FinTech Index, 2026
Common questions
What do Boosted.ai and Terminal X actually sell?
The same dangerous convenience from opposite directions. Boosted.ai's agents learn a user's preferences and monitor proactively toward stated goals, while Terminal X indexes the firm's own models, memos and emails so answers arrive in the house context. 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 vendor is more mature?
Boosted.ai, visibly: more than 300 active clients whose users manage trillions, an investor who is also a client, and features testable without a paid account. Terminal X is vouched for by third parties, a securities group's venture arm, DG Daiwa Ventures, and a supplier case study, with no customer named. 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.
What is the shared silence?
How the agent surfaces disconfirming evidence. A system tuned to what a firm cares about will confirm what it already believes at machine speed, and neither vendor publishes anything on the omission you never see. 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 Terminal X handle models?
Terminal X routes each query as micro steps across the GPT, Claude and Gemini families by measured fit, which means confidential firm content reaches multiple external providers with no statement of which categories may reach which provider. 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.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Wealth & Advisory AI page.
Neither vendor publishes anything on how its agent surfaces evidence against a stored thesis, what it filtered out and never showed, or when it abstains. For systems built to learn a firm's own thinking, that is the failure mode with capital behind it. At Boosted.ai, nothing states what an agent may do unilaterally versus recommend.
Machine generated commentary is client facing content inside supervised records obligations, with no described capture or review path, and no provider is named for the generative or voice layers. At Terminal X, accumulation is explicit: every additional file indexed builds the proprietary intelligence.
Nothing states how one firm's material is isolated from competitors accumulating on the same system, whether content can be excluded from shared improvement, or what happens to the index when a client leaves. Its routing design also passes content to multiple external providers with no statement of which categories, including confidential memos, may reach which provider or jurisdiction, and the continuous measurement its routing implies produces no published result. Neither publishes a security attestation, hosting region, error rate or liability term.