AI Assistants

Purpose-built evaluation tools for every stage of the proposal cycle

Each assistant evaluates, scores, or builds a specific document type against the evidentiary standards Donors actually apply — section by section, with full source attribution and no black-boxed judgment.

What They're Saying

"This is a fantastic tool for building confidence in our submissions. It not only validates the relevant information we've already included but also provides a clear roadmap of areas needing more attention."
Caribbean Accredited Entity
"The detailed evaluation of the Theory of Change was particularly informative and helped us significantly improve our proposal's core logic."
Southern Africa Accredited Entity
"What sets this software apart is its deep qualitative feedback. It goes far beyond a simple checklist, providing a specific assessment with concrete recommendations for improvement."
Pacific Accredited Entity
"Many DAEs have a very strong technical and structuring background — but writing in a way that convinces the Donor in English is a real challenge. The linguistic opportunity here is significant, and this tool could address that."
Multilateral Donor Reviewer
"My first impression is that it's really spot on. I compared its analysis against my own review of the concept note from over a year ago and they were quite aligned. That level of consistency with expert judgment is what sets it apart."
Multilateral Donor Reviewer
"There is clearly real potential here. We're trying to improve both efficiency and access — and those are almost two separate directions. There are DAEs that need considerable handholding, and if something can help them translate ideas into English, and into Donor language and finance logic, those different layers of translation are truly useful."
Multilateral Donor Reviewer
Live Assistant Report
Climate Rationale Builder
Build a climate rationale narrative grounded in peer-reviewed science and country-specific data. Every claim is linked to a citable source, giving reviewers full traceability from assertion to evidence.

Self-Serve Run: $500 /run (500 credits)
On-demand report: $1,000 USD
Live Assistant Report
Concept Note Evaluator
Score your Concept Note against the standards applied to real approved submissions. Weaknesses are flagged section by section — missing data, unsupported claims, and Donor investment criteria gaps.

Self-Serve Run: $500 /run (500 credits)
On-demand report: $1,250 USD
Coming Soon Report
Theory of Change Builder
Build a Donor-aligned theory of change mapping your project's causal pathway from activities to long-term impact. Every causal link is made explicit and traceable against the evidence base.

Self-Serve Run: $500 /run (500 credits)
On-demand report: $1,000 USD
Coming Soon Report
Funding Proposals Evaluator
Catch cross-section inconsistencies in your Funding Proposal before formal Donor review. The evaluator checks whether budget, M&E, and safeguards sections align with activities as actually designed.

Self-Serve Run: $1,500 /run (1,500 credits)
On-demand report: $2,500
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Coming Soon Report
PPF Application Review
Build a PPF application benchmarked against approved submissions in the platform's corpus. Outputs meet Donor format requirements and flag gaps before submission.

Self-Serve Run: $500 /run (500 credits)
On-demand report: $1,250 USD
Notify me when live →
Coming Soon Report
Critical ESMS Review
Score your ESMS documentation against Donor safeguard requirements. The review checks that your submission reflects actual project interventions and meets the evidentiary standard reviewers apply.

Self-Serve Run: $700 /run (700 credits)
On-demand report: $2,500
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The Full Pipeline
From initial concept to submission-ready proposal
Use the assistants in sequence — Climate Rationale → Theory of Change → Concept Note Evaluator → Funding Proposal Evaluator — to take a project from first evidence check through final submission readiness, with each tool building on the last.

Every assistant is undergirded by our specialized RAG infrastructure

Every assistant is undergirded by our specialized RAG infrastructure, composed of multiple layers of Donor and climate knowledge that is preprocessed to feed a variety of tools. This foundation enables our tools to deliver highly targeted outputs that general AI models simply cannot match.

Institutional & Policy Layer
NDCs, National Adaptation Plans, National Communications
Climate Science Layer
IPCC reports, regional climate risk profiles, peer-reviewed literature
Donor Precedents Layer
Approved proposals, concept notes, and project documentation

Ready to strengthen your next submission?

Request access and your team can be running evaluations within days.