THE ADVISORY CHALLENGE
Client demand is high — but so are execution barriers
Manual verification and fragmented data waste critical time.
Static datasets don’t adapt to clients’ proprietary frameworks.
Private disclosures and internal documents remain out of reach.
CURRENT APPROACHES FALL SHORT
Traditional workflows can’t keep up with client needs
Manual Processing: Inconsistent, unscalable research eats into time for strategic, high-value work.
Generic AI Agents: Speed without substance — accuracy and credibility are lost without human validation.
In-House Tools: Costly to maintain, hard to scale, and often lack ESG-specific expertise.
YOUR ADVANTAGE: MANIFEST CLIMATE
Trusted by leading firms to drive profitability, credibility, and scale
Boost profitability: Automate manual ESG analysis and redeploy capacity to strategic work.
Scale expertise: Build firm-wide ESG knowledge and upskill teams instantly.
Stay ahead: Keep client work aligned with global frameworks and evolving regulations.
BEST OF AI MEETS HUMAN EXPERTISE
AI that adapts to your process — not the other way around
Turning fragmented data into decision-ready insights using AI — validated by our in-house experts and aligned with global standards.
- 1,500+ datapoints across material sustainability topics
- Configurable datasets & proprietary framework alignment
- Mirrors your analytical approach for seamless integration
FOUR TYPES OF DATA-DRIVEN INSIGHTS
Reliable, comparable sustainability intelligence
Performance Analysis
Benchmark across companies, from competitors to suppliers.
Topic Analysis
Evaluate how ESG issues are addressed across industries and regions.
Compliance Analysis
Assess alignment with sustainability standards and regulations.
Custom Analysis
Extract proprietary datapoints from public and private documents.
Frequently asked questions
Reclaim your team’s time. Redefine ESG advisory.
Manifest Climate gives your team the intelligence advantage — combining AI speed with human credibility to deliver decision-useful sustainability insights at scale.