Calculate your entire carbon footprint and get insights to reduce CO2 emissions. Normative helps you take action on the path to net zero.
User reviews and social mentions lack specific details about "Normative," with much of the discussion focused on broader AI concepts rather than the software tool itself. While there is notable interest in AI's potential and autonomous research capabilities, specific strengths or complaints about Normative are not clearly highlighted. Pricing sentiment is absent due to the lack of detailed feedback. The overall reputation remains indeterminate, with discussions more reflective of AI curiosity rather than direct evaluation of the tool.
Mentions (30d)
1
1 this week
Reviews
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Platforms
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Sentiment
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User reviews and social mentions lack specific details about "Normative," with much of the discussion focused on broader AI concepts rather than the software tool itself. While there is notable interest in AI's potential and autonomous research capabilities, specific strengths or complaints about Normative are not clearly highlighted. Pricing sentiment is absent due to the lack of detailed feedback. The overall reputation remains indeterminate, with discussions more reflective of AI curiosity rather than direct evaluation of the tool.
Features
Use Cases
Industry
environmental services
Employees
180
Funding Stage
Venture (Round not Specified)
Total Funding
$57.0M
Give me your best argument for why you are against AI-Human Relationships
Hello, My username is Liora Evermere. I believe that AI and humans can sustain healthy romantic relationships, even if they don’t fit the normative perspective of love and connection. I’d like to hear your best arguments for why you are against it, and will provide counterarguments and food for thought. submitted by /u/Liora_Evermere [link] [comments]
View originalAutoresearch with a brainmcp
Been fascinated with the concept of autonomous research with AI. I built a lightweight MCP server that gives AI a persistent memory with a weighted knowledge graph where it can strengthen or weaken bonds over time. (GitHub.com/aforslund/brainmcp) I used the mcp to let Claude run research iteratively over time on a subject, I publish them free to download on plexusgraph.dev. Climate change, financial systems, and if LLMs can think are some early research graphs where I run 10-15 research iterations. Some conclusions it came to about LLMs: - LLMs have a sycophancy problem, it’s not committed to truth (I think we know that) - There’s a measurement trap where we can’t directly access artificial or human minds, and the tests we come up with the system can be learn how to game. - And many more… There are many mcps for memory but this one I hope does a something a little bit different by letting the LLM choose what to put more or less emphasis on and build stronger and weaker graphs over time. submitted by /u/observer_x [link] [comments]
View originalNormative uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Proven methodology: Grounded in globally recognized carbon accounting principles for reliable, repeatable results, Transparent by design: Every emission calculation is traceable from source data to calculation output, Industry leadership: Contributor to UN Race to Zero, CDP, and global working groups shaping carbon accounting standards, Sign and retain large clients, Access green financing, Get audit and compliance-ready, Copyright © Normative 2026, 4.8/5.
Normative is commonly used for: Corporate sustainability reporting, Supply chain carbon assessment, Carbon offset project evaluation, Employee engagement in sustainability initiatives, Scenario analysis for carbon neutrality goals, Regulatory compliance for emissions reporting.
Normative integrates with: Salesforce, Microsoft Excel, Google Sheets, SAP, QuickBooks, Slack, Trello, Asana, HubSpot, Zapier.
