
概览
主要功能
- 提取、综合和探索研究数据
- 使用Dr. Reed生成新的见解或使用Dr.Sinclair分析现有知识
- 双向建模,为数据驱动的知识代理
- 连接产品和消费者知识进行双向见解
- 支持跨研究综合和研究差距分析
价格
- 模型
- Freemium
- 评分
- 4.6 / 5 (5)
使用场景
综合专有研究研究
聚合内部研究为可追溯见解,使用事实 ID 和引语,使分析师能够验证每个陈述的源文件。
专家形象驱动分析
使用专家形象来综合各种研究项目的发现,模拟领域专家的观点,以更好的解释。
审计就绪见解
生成企业级报告,其中每个事实都通过引用链接,支持遵守、同行评审和可辩护的决策
机构知识检索
根据关键词进行查询,来检索历史专有研究,找到相关已有发现,并避免重复的研究工作。
优点 & 缺点
优点
- 将专有研究转化为战略基础设施
- 提供可追溯和可解释的见解
- 双向建模的数据驱动的知识代理
- 支持决策就绪的见解
- 每页可生成10-20至30个原子事实的历史研究
缺点
- 对团队/业务等级的可扩展性有限
- 没有超过单人套票以外的定价等级信息
- 需要采购周期
- 没有对接或工作流程信息
评测
5 个评分的平均值。
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Does the job
Pretty happy overall. The automation just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.
Compared a few options
Evaluated this against two competitors. Where it wins: the onboarding and it saves real time. On balance the feature set — especially the onboarding — justifies the 5 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and the value for money is strong. The automation fits neatly into how we already work, and the API removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.
Does the job
Pretty happy overall. The core workflow just works and support is responsive. The mobile experience lags can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and it saves real time caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.
问答
Who is THEUS designed for?
THEUS is built for enterprise organizations that need to synthesize proprietary research studies at scale, particularly teams that require traceability, citations, and expert-driven synthesis rather than generic AI summaries.
What does THEUS actually do for enterprise research teams?
THEUS is an enterprise AI research system from Aigora that transforms proprietary studies into traceable insights. It generates outputs with fact IDs, citations, and expert avatars to support reliable synthesis across your research corpus.
How does THEUS ensure insights are trustworthy and auditable?
Every insight is grounded with fact IDs and citations linking back to the underlying proprietary studies, so users can trace claims to their source. Expert avatars further support transparent synthesis rather than opaque AI outputs.
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