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Tector

Launching today

A second set of eyes for your AI-assisted research

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A second set of eyes for your AI-assisted research

1 follower

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Organized research, under control. AI writes your research in minutes. Standing behind it got harder. Tector is the neutral layer above every LLM and source. It doesn’t write your deck - it checks it. Upload one and each claim comes back validated, unverified, or contradicting your own research. And it remembers what your firm already worked out, so nothing starts from a blank page. A second set of eyes for AI research - built for consulting and advisory teams.

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Launch tags:SaaS•Artificial Intelligence•Consulting

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ClarifyThe full-stack AI CRM for modern GTM teams

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Maker

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I have been in research heavy workflows all my life. With AI - generating research became easy, consuming it did not. So I build Tector - to address the first and third part of the research process- judgement & consumption. Tector transforms your open business question into a research framework, allows evidence collection from any source, understands what insights matter to your research, flags contradictions in your research collected from anywhere, and validates your deck or memo against the evidence Tector has.

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1d ago

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5h ago

What is the best use case for Tector

Tector has been built keeping in mind inside-out oriented business problems i.e. business problems that have some external market factors.

Tector turns open business problem into a structured research framework & surfaces questions that real teams were asking after weeks or months into their project. It does so by using a proprietary ScopeGrid engine, however, ScopeGrid works best when there is a mix of internal & external factors. Examples of these problems are market entry assessment, GTM planning, business case development, competitive research etc.

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