Cogram is an AI-native platform built for architecture, engineering and construction (AEC) teams. It automates the administrative overhead of project delivery — filing and searching project email, drafting meeting minutes, logging RFIs and submittals, capturing field reports, and answering questions across project documents with an AI agent.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Cogram is an AI-native platform built for architecture, engineering and construction (AEC) teams. It automates the administrative overhead of project delivery — filing and searching project email, drafting meeting minutes, logging RFIs and submittals, capturing field reports, and answering questions across project documents with an AI agent.
Project AI Agent
Ask natural-language questions across project documents, contracts and correspondence, and get answers grounded in your own files rather than generic responses.
Email Management
Automatically file, organize and search email across all project correspondence so nothing gets lost in personal inboxes.
Automated Meeting Minutes
Capture minutes in virtual and in-person meetings and have them drafted directly into your firm's templates.
RFIs & Submittals
Log and review RFIs and submittals in a fast, user-friendly workflow that syncs with Procore and other project platforms.
강점 및 장점
+Purpose-built for architecture, engineering and construction rather than generic project management
+Automates high-friction AEC paperwork: email filing, minutes, field reports, RFI and submittal logs
+AI agent answers questions grounded in your own project documents
자주 묻는 질문: Cogram 대 Semantic Scholar
Cogram의 월간 방문 수는 4,376이고, Semantic Scholar는 8,198,672입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.
+Strong security posture: SOC 2 Type II, SAML 2.0 SSO, MFA, encryption, and no model training on customer data
+Deep integrations with Procore, Autodesk, Deltek, Unanet, Teams, Outlook, Zoom and Google Meet
+Free 14-day self-serve trial and free external collaborator accounts
한계
–Pricing is quote-based and requires a demo or sales conversation, so costs are not transparent upfront
–Value depends on adoption across a whole project team, so partial rollouts may underdeliver
–Deepest benefits come from integrations like Procore, Deltek and Unanet, which add setup effort
–Feature scope is specialized for AEC workflows, offering less fit for unrelated industries
Semantic Scholar
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic search across 240M+ papers
Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.
AI-generated TLDR summaries
Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.
Semantic Reader
An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.
Citation context and influence signals
See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.
강점 및 장점
+Free to use with no paywall, subscription or credit limits
+Very broad coverage spanning 240M+ papers in all scientific fields
+Semantic ranking and AI TLDRs surface relevant work that keyword search misses
+Semantic Reader adds inline citations, definitions and figures during reading
+Public API with documentation makes programmatic research workflows practical
+Run by a non-profit research institute (Ai2), so incentives are academic rather than commercial
한계
–Indexing lag means the newest preprints are not always immediately available
–TLDR summaries are machine-generated and can oversimplify nuanced findings
–Full text is frequently limited to what publishers or repositories expose
–Not a citation manager: no built-in PDF library, BibTeX export workflow or note system
–Interface is functional rather than polished compared with commercial research tools
특화 강점Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
특화 강점Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
무료 / 오픈소스Motion is an AI-powered productivity super app that unifies tasks, projects, calendars, meetings, docs, notes and reports, using AI agents to auto-plan your day, build projects, take meeting notes and keep work moving.
무료 / 오픈소스Motion is an AI-powered productivity super app that unifies tasks, projects, calendars, meetings, docs, notes and reports, using AI agents to auto-plan your day, build projects, take meeting notes and keep work moving.
