AI Deep Research

Thesora

General-Purpose AI Deep-Research Engine

Built for any deep-research question that needs evidence behind it โ€” multi-hop reasoning produces confidence-scored conclusions, each traceable through three tiers back to the original evidence. Started with company and industry investment research, and also fits open-web research like feasibility studies and competitive landscape analysis โ€” it doesn't make the call for you, it puts the reasoning on the table.

Multi-Hop
Reasoning to a confidence-scored conclusion
3-Tier
Conclusion โ†’ evidence passage โ†’ source
8 Report Types
Investment research + general research templates
Open Protocol
Standardized MCP access

Core Capabilities

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Multi-Hop Reasoning

Not a single retrieval pass. When it hits an evidence gap, it keeps chasing and re-searching until the chain closes before delivering a conclusion โ€” the core difference from tools that stop cold after one pass.

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Confidence Scoring

Every conclusion carries a confidence score computed from evidence strength, source authority, and cross-source corroboration. How reliable a judgment is stays visible โ€” never a black box.

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3-Tier Auditable Trail

Conclusion โ†’ evidence passage โ†’ original source, expandable at every level. Every judgment can be traced back to exactly which passage and source it came from โ€” no unsupported claims.

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Multi-Agent Cross-Checking

Retrieval, reasoning, writing, and review are handled by independent stages that cross-check each other's output, reducing the risk of one stage's hallucination or bias flowing straight into the final conclusion.

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Open Evidence Layer

Data and evidence access is exposed to developers via a standardized protocol โ€” usable straight from a browser or wired directly into code, no integration queue to wait on.

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8 Report Templates

Single-company diligence, multi-company comparison, industry research, general research, IC memo, BP analysis, and pitch-deck generation โ€” covering the main deliverable shapes of investment research as well as general feasibility studies and competitive landscape analysis.

Under the Hood: The Deep-Research Engine

Beneath every conclusion and report sits a reasoning engine built to close the evidence gap, not to hand in a single search pass

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Multi-Hop Evidence Retrieval

Identifies the gap in the current evidence chain, generates the next search question automatically, and iterates until the evidence needed for a conclusion is largely closed โ€” rather than forcing a conclusion after a fixed number of rounds

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Confidence Scoring Mechanism

Scores are quantified across evidence volume, source authority, and cross-source corroboration; low-confidence conclusions are explicitly flagged rather than blended in with high-confidence ones

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3-Tier Audit Trail

Every conclusion is bound to its supporting evidence passage and original source at generation time, forming an expandable audit chain analysts can independently verify

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Multi-Agent Division of Labor

Retrieval, reasoning, writing, and review run as independent roles that check one another, lowering the odds that a single stage's bias flows straight into the final report

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Open Data Protocol Layer

Evidence and tool-calling capability is exposed externally via a standardized protocol, supporting both browser-based try-it-out access and direct code-level integration

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Report Template Engine

Structured templates are preset for different delivery scenarios, so the same reasoning output can be organized as a single-company brief, industry study, general research report, IC memo, or other formats

Product Details

Traditional research-retrieval tools hand you a pile of search results and leave the judgment to you. Thesora flips that: it hands you a confidence-scored judgment, plus an evidence chain you can check. Its positioning is "evidence and fact adjudication engine," not an advisor standing in for you โ€” the conclusion is Thesora's, but whether to act on it remains your professional call.

The full loop is direct: ask a question about a company, an industry, or a research topic, and Thesora reasons through multiple hops, progressively gathering evidence and converging on an answer with a confidence score and a fully traceable trail โ€” exportable as a single-company diligence brief, industry study, general research report, or other format ready for internal decision materials.

Thesora started with investment research in China's private markets, and also fits open-web research such as feasibility studies, competitive landscape analysis, and company deep dives. When used by institutional investors, it performs adjudication at the level of evidence and fact only โ€” it does not constitute and should not be understood as investment advice, and it does not replace any professional investment decision process.

Turn an Uncertain Judgment Into a Verifiable Conclusion

Try a few tools in the Playground โ€” it beats reading another brochure

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