# Report: Granter > GAMMA-Ray v0.0.155 (beta, for review; every rating is experimental). The GAMMA-Ray beta report on Granter: AI Grant Consultant A2 · R1 · C1 · O1; 35 provisions lit, 13 sources captured. > Page: https://gamma-ray.sgit.ai/reports/granter/ · Source: data/reports/granter.json GAMMA-Ray report · Spectrum 0.2 beta · Public tier · read 2026-11-10 · not reviewed by the company yet Granter sells the AI Grant Consultant, a chat-based AI agent that matches an organisation with public and private funding calls, checks eligibility, drafts and scores applications, and supports reporting after approval. 1 solution carded of 2 found 13 sources captured and hashed 35 provisions lit in 7 of 8 instruments 6 examples of the agent at work, with sources Built only from Granter's own public pages and, for company basics only, the news sources named beside each fact. Granter has not seen this report. Nothing was tested and no credentials were used. If you are Granter and something here is wrong or missing, the correction will be made and dated, and you can claim the card to add evidence. ## The agentic solutions One card per solution. Each level is computed from the evidence by a [published rule](../../spectrum/evidence-map/index.md); a dimension with nothing public reads "not yet evidenced", which is not a no. A card rates a product as documented, not anyone's deployment of it. ### AI Grant Consultant Chat-based agent, onboarded with the organisation's details and past applications, that matches funding calls, checks eligibility and admissibility, drafts applications section by section with playbooks, scores drafts with an Evaluator, and supports post-approval reporting. The user submits the application. AI Grant Consultant a product, as documented SPECTRUM 0.2 BETA · Public tier · 2026-11-10 A2 Autonomy Suggests π Moderate · S1·R5·A1 ×3 R1 Reach Contained π Moderate · S1·R5·A1 ×3 C1 Control Stated π Moderate · S1·R5·A1 ×3 O1 Openness Disclosed π Moderate · S1·R5·A1 ×3 Draft Stage: Exploring (5 of 16) In production Balanced Standout. Autonomy 2 (Suggests): "Users review and approve them before any submission or decision" Next unlock. Reach 2 (Integrated): public evidence that it works across several domains or systems would get there. Trust. FACT-Ray : 10 facts: 10 π Moderate · found by an agent, captured and hashed, checked by 2 other agents (same model family, shared repository); no human has signed it. Standards constellation. 35 provisions lit across 7 of 8 instruments. Salesforce EAAMM OWASP MCP AAGMM Microsoft NIST AI Act Evidence: 4 sources, captured and hashed · the card's page has the vault's read key · Not reviewed by its vendor yet · correct or claim this card [The full card, every answer and its evidence](../../spectrum/cards/granter-ai-grant-consultant/index.md) · [the governance layer](../../scans/granter-ai-grant-consultant/index.md) ### QuickMatch Free tool that gives a snapshot of open and upcoming calls relevant to an organisation. *No card yet (available (free)): this solution has not been assessed.* ## Our reading **The shape.** Granter's AI Grant Consultant reads A2 · R1 · C1 · O1 (Exploring). It is a chat-based agent, onboarded with an organisation's details and past applications, that matches funding calls, checks eligibility, drafts applications section by section and scores drafts with an Evaluator. Its outputs are suggestions: users review and approve them before any submission or decision, and the user submits the application. It works in one domain, public and private funding at regional, national and EU level. **Where the evidence is strongest.** The privacy policy, last updated on 9 November 2026, carries much of the card: it states what the platform is for, says AI-generated content is presented as such inside the platform, and says the platform does not take decisions about a person on its own. Named pilots show the agent in use: at Fidelidade two agents, one per entity, are live and used to find calls and start drafts, and Super Bock Group prepared and submitted an FCT application with it. Three Portuguese Navy units are evaluating it; the Navy figures (over 200 opportunities added to a defence grants database, first drafts from two weeks to two hours) are Granter's own. **A balanced card.** The card carries the balanced badge: Control and Openness each sit within one level of Autonomy. The agent suggests and a person approves, and the approval is written down in the same policy that states the purpose. **What would move it.** Autonomy 3: a page showing the agent executing an action itself, such as submitting through an official channel, with a person consulted on exceptions; older text on the blog marks automated submission as coming soon, and the current FAQ says the user submits. Reach 2: a documented connector to a tool or system outside the platform. Control 2: a public list of what the agent can reach, beside the approval already documented. Openness 2: a page on the agent's limits and known failure cases, or a list of the models it runs on. **Seen, and not counted.** The privacy policy names four providers and says the models run on Microsoft Azure in EU regions, but it names no model, so it is not a model list. The caps on applications per plan are commercial limits, not the agent's limits, and the breach-notification clause is a GDPR duty, not a channel for the agent's errors. Marketing figures such as 3000+ companies and EUR 30M in grants submitted are Granter's own and are not counted. ## What would move it The one piece of public evidence that would lift each card next: - **AI Grant Consultant**: Reach 2 (Integrated). Public evidence that it works across several domains or systems. ## The agent at work Examples from public pages that name a customer or give figures. Each source was captured and hashed on the date shown. ### Fidelidade (Fidelidade Companhia de Seguros and FID I&D) Pilot with two agents, one per entity, using the Match and Apply modules for SIFIDE and European calls; in the initial phase of a 12-month cycle. "Onboarding is complete, the two agents are live" [Source](https://granter.ai/case-studies/fidelidade) (captured 2026-11-10T10:43Z, sha256 `5540efe3cdd81e0a`) ### Super Bock Group Used the agent's scientific paper research and Evaluator to prepare and submit an FCT doctoral scholarship application in under 72 hours; a professor validated the content. "the team produced a technically rigorous grant proposal and submitted it on time" [Source](https://granter.ai/case-studies/superbock) (captured 2026-11-10T19:45Z, sha256 `0da57a037f92737b`) ### Portuguese Navy (Naval Academy, Navy, Hydrographic Institute) Pilot with three agents on Match and Apply; a defence grants database of 200+ opportunities; in the certification phase of the Navy Tested programme. "Granter is being evaluated by three different Navy units" [Source](https://granter.ai/case-studies/marinha) (captured 2026-11-10T19:45Z, sha256 `a6b46185d03c0012`) ### Católica-Lisbon Entrepreneurship Center (CLEC) Six-month pilot of one agent using the Match module for European innovation and entrepreneurship calls. "CLEC implemented a dedicated AI agent, designed specifically for their context" [Source](https://granter.ai/case-studies/clec) (captured 2026-11-10T10:43Z, sha256 `930217dbabb636b8`) ### Câmara Municipal de Montemor-o-Novo Municipality integrated the Writing module into its grant workflow; early-stage adoption. "the Writing module integrated into the municipality’s workflow" [Source](https://granter.ai/case-studies/montemor-o-novo) (captured 2026-11-10T10:43Z, sha256 `2fcbc37b873a23db`) ### (usage figure) Homepage figure of EUR 30M in grants submitted through Granter (a vendor figure; not independently verified). "In grants submitted" [Source](https://granter.ai/) (captured 2026-11-10T10:43Z, sha256 `496f5c596f5aa81a`) ## The company - Founded in 2023 by Bernardo Seixas and Bernardo Tavares (AICEP/Invest Porto news item, 17 November 2025). "Founded in 2023 by Bernardo Seixas and Bernardo Tavares" [Source](https://www.portugalglobal.pt/en/news/2025/november/uptec-startup-granter-wins-web-summit-2025-competition/) (captured 2026-11-10T10:43Z, sha256 `58aabc2170e98cae`) - Third UPTEC startup to win the Web Summit pitch competition (AICEP/Invest Porto). "Granter becomes the third UPTEC startup to win the Web Summit’s pitch competition" [Source](https://www.portugalglobal.pt/en/news/2025/november/uptec-startup-granter-wins-web-summit-2025-competition/) (captured 2026-11-10T10:43Z, sha256 `58aabc2170e98cae`) - Its About page lists the Web Summit 2025 pitch competition win in November 2025. "Won the Web Summit 2025 pitch competition." [Source](https://granter.ai/about) (captured 2026-11-10T10:43Z, sha256 `f1fc4259db677c74`) - Started in September 2023 under the name Lever Tax. "Granter is born (originally as Lever Tax)" [Source](https://granter.ai/about) (captured 2026-11-10T10:43Z, sha256 `f1fc4259db677c74`) - The product name at source is the AI Grant Consultant; the FAQ says Granter is the company behind it. (homepage FAQ, served from this script module) "the AI agent that helps organisations find, write, and manage grants" [Source](https://framerusercontent.com/sites/Ih0Kv4pT3TC363Nt7lJX0/nhxka8BHi.DNESSsdK.mjs) (captured 2026-11-10T10:43Z, sha256 `31b475a01c4bc7fb`) - The privacy policy (last updated 9 November 2026) states the purpose of the platform. "helps organisations find, prepare and manage applications for grants and other funding" [Source](https://granter.ai/privacy-policy) (captured 2026-11-10T19:45Z, sha256 `278075589d6cb147`) - The platform's AI models run on Microsoft Azure in EU regions. "The models run on Microsoft Azure in EU regions" [Source](https://granter.ai/privacy-policy) (captured 2026-11-10T19:45Z, sha256 `278075589d6cb147`) - GEOfundos customers are being moved to Granter (Portuguese-language migration page). "A GEOfundos junta-se à Granter" [Source](https://granter.ai/geofundos-migration) (captured 2026-11-10T10:43Z, sha256 `edd09f8ab4306ebd`) - ECO (Portuguese business daily) reported the Web Summit 2025 win on 13 November 2025 and quoted Bernardo Seixas as founder and CEO. "fundador e CEO da Granter" [Source](https://eco.sapo.pt/2025/11/13/portuguesa-granter-ai-e-a-startup-vencedora-da-web-summit-2025/) (captured 2026-11-10T10:43Z, sha256 `0956d2819fc70a89`) ## The people Public and professional only, from the company's own pages or a public professional source. - **Bernardo Seixas**, CEO and co-founder. [Source](https://granter.ai/about) - **Bernardo Tavares**, CTO and co-founder; named Data Protection Officer in the privacy policy. [Source](https://granter.ai/about) - **Rodrigo Alarcão**, AI Product Manager. [Source](https://granter.ai/about) - **Bernardo Moutinho**, Head of Operations. [Source](https://granter.ai/about) ## The graph The company, its people and the stories on the left; each solution, the captured sources behind its card, the indicators those sources evidence and the provisions of the instruments those indicators touch, to the right. "Touched" never means "complies". people and stories company solutions 4 sources 10 indicators 35 provisions, by instrument I07: The product page says the agent finds calls, checks eligibility and runs an Evaluator that shows what to improve; the user selects the opportunity and makes the submission. I09: The agent works in one domain: public and private funding calls at regional, national and EU level. I16: The privacy policy, which covers the whole Granter platform and does not name the agent, says the platform's AI search, drafts, analyses and recommendations are suggestions that users review and approve before any submission or decision; it does not say each step is approved separately. I20: The product page states the agent's purpose and tasks: find the calls an organisation qualifies for, check eligibility, draft the application against the call's criteria, review it, and manage reporting after approval; its FAQ says the agent does not submit. I38: The product page's FAQ says Granter does not submit the application: the user makes the final submission on the funding platform, since access to submission-platform accounts is restricted for Granter; this states who submits, a structural limit on the product, not an approval step. I52: Granter's Navy case study says three Navy units are evaluating the agent in a certification phase for the Navy Tested programme; certification is not yet granted. I56: The privacy policy states that AI-generated content is labelled as such inside the platform; it is a label on generated content, not a statement about disclosure in conversation. I58: In a quote on the product page, Granter's CTO says onboarding collects the organisation's information, such as previous applications and institutional data, which the page says the agent then holds as context (vendor's statement). I67: Under 'Early Results', the Navy case study reports two pilot figures, over 200 opportunities added to a defence grants database and first drafts labelled 2w to 2h, with no method or baseline stated (vendor-reported). S1: Granter's case study (vendor's account) names one customer, the Super Bock Group, whose R&D and innovation team used the AI Grant Consultant to draft one FCT doctoral scholarship application and then submitted it themselves, from initial draft to submission in under 72 hours; it gives no usage counts. Granter Bernardo Seixas Bernardo Tavares Rodrigo Alarcão Bernardo Moutinho Fidelidade (Fidelidade Companhia de Seguros and FID I&D) Super Bock Group Portuguese Navy (Naval Academy, Navy, Hydrographic Institute) Católica-Lisbon Entrepreneurship Center (CLEC) Câmara Municipal de Montemor-o-Novo (usage figure) AI Grant Consultant AI Grant Consultant A2 · R1 · C1 · O1 QuickMatch QuickMatch granter.ai/blog/ai-grant-consulta… granter.ai/privacy-policy granter.ai/case-studies/marinha granter.ai/case-studies/superbock It retrieves information and recommends actions; a person acts I07 It works in one domain's data I09 The agent suggests; the person reviews and approves each action I16 Its purpose and permitted tasks are stated in writing I20 High-impact actions need a person's approval I38 People who did not build it take part in assessing it I52 It tells the people it talks to that it is an AI I56 The data it uses is described I58 Its value is measured I67 It is in production: a public source names a customer or gives usage figures for what it does on its own S1 Salesforce 12 EAAMM 2 OWASP 1 AAGMM 2 Microsoft 7 NIST AI RMF 8 EU AI Act 3 Salesforce, Level 1: Information Retrieval Agents Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 2: Simple Orchestration, Single Domain Salesforce, Level 0, how companies can advance from Level 0 to Level 1 EAAMM, L2 Collaborative (survey item Q9) NIST AI RMF, MAP 1.1 NIST AI RMF, MAP 2.1 NIST AI RMF, MAP 3.3 NIST AI RMF, MAP 1.3 EU AI Act, Article 13 OWASP, Maturity Level 2 Policy-Defined, Human-in-the-Loop, key enterprise action EU AI Act, Article 14 AAGMM, GD-06 NIST AI RMF, MAP 3.5 Salesforce, Level 3, how to advance from Level 3 to Level 4 Microsoft, 300: Defined, Business strategy NIST AI RMF, MEASURE 1.3 EU AI Act, Article 50 AAGMM, GD-05 EAAMM, Readiness dimension 2 Salesforce, Level 1, how to advance from Level 1 to Level 2 Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 1, how to advance from Level 1 to Level 2 Salesforce, Level 3, how to advance from Level 3 to Level 4 Salesforce, Level 4, how to maximize value Salesforce, Level 4, how to maximize value Microsoft, 200: Repeatable, Business strategy Microsoft, 300: Defined, AI strategy and experience Microsoft, 300: Defined, Business strategy Microsoft, 400: Capable, Business strategy Microsoft, 400: Capable, AI strategy and experience NIST AI RMF, MAP 1.4 NIST AI RMF, MAP 3.1 Microsoft, 100: Initial, Organization and culture ## The evidence | Source | Read | SHA-256 (first 16) | |---|---|---| | [eco.sapo.pt/2025/11/13/portuguesa-granter-ai-e-a-startup-vencedora-da-](https://eco.sapo.pt/2025/11/13/portuguesa-granter-ai-e-a-startup-vencedora-da-web-summit-2025/) | 2026-11-10T10:43Z | `0956d2819fc70a89` | | [framerusercontent.com/sites/Ih0Kv4pT3TC363Nt7lJX0/nhxka8BHi.DNESSsdK.m](https://framerusercontent.com/sites/Ih0Kv4pT3TC363Nt7lJX0/nhxka8BHi.DNESSsdK.mjs) | 2026-11-10T10:43Z | `31b475a01c4bc7fb` | | [granter.ai/](https://granter.ai/) | 2026-11-10T10:43Z | `496f5c596f5aa81a` | | [granter.ai/about](https://granter.ai/about) | 2026-11-10T10:43Z | `f1fc4259db677c74` | | [granter.ai/blog/ai-grant-consultant](https://granter.ai/blog/ai-grant-consultant) | 2026-11-10T19:45Z | `939ffa1a99921ceb` | | [granter.ai/case-studies/clec](https://granter.ai/case-studies/clec) | 2026-11-10T10:43Z | `930217dbabb636b8` | | [granter.ai/case-studies/fidelidade](https://granter.ai/case-studies/fidelidade) | 2026-11-10T10:43Z | `5540efe3cdd81e0a` | | [granter.ai/case-studies/marinha](https://granter.ai/case-studies/marinha) | 2026-11-10T19:45Z | `a6b46185d03c0012` | | [granter.ai/case-studies/montemor-o-novo](https://granter.ai/case-studies/montemor-o-novo) | 2026-11-10T10:43Z | `2fcbc37b873a23db` | | [granter.ai/case-studies/superbock](https://granter.ai/case-studies/superbock) | 2026-11-10T19:45Z | `0da57a037f92737b` | | [granter.ai/geofundos-migration](https://granter.ai/geofundos-migration) | 2026-11-10T10:43Z | `edd09f8ab4306ebd` | | [granter.ai/privacy-policy](https://granter.ai/privacy-policy) | 2026-11-10T19:45Z | `278075589d6cb147` | | [www.portugalglobal.pt/en/news/2025/november/uptec-startup-granter-wins](https://www.portugalglobal.pt/en/news/2025/november/uptec-startup-granter-wins-web-summit-2025-competition/) | 2026-11-10T10:43Z | `58aabc2170e98cae` | ## How this report was made A researcher-assessor gathered and captured the sources and mapped the evidence to indicators, without assigning a level. A challenger argued against every level three and four and every doubtful credit. The [deterministic scorer](../../spectrum/pipeline/index.md) computed the levels and the gate checked the rules. A card appears here only after two rounds of review and a sign-off by agents that did not write it (the team's workflow); AI Grant Consultant: reviewed in 5 rounds, signed off by gamma.approve@web-summit.dinis on 2026-11-10. A person's sign-off of the series is still to come. | Role | Who | |---|---| | researcher-assessor | a sub-agent of gamma.studio@web-summit.dinis | | challenger | a sub-agent | | scorer | build/spectrum.mjs | | analyst, designer, writer | gamma.studio@web-summit.dinis | | review | gamma.review@web-summit.dinis, 5 rounds | | sign-off | gamma.approve@web-summit.dinis, 2026-11-10 | ## The vault Every capture, the dossier, both assessors' mappings, the challenger's notes and this report's data are in a public sgit vault (`8fffssyc`). Read key: sgit_public_read_d27a5608316451eb20fa628b9943960a7bc8a33709127d6c373b26afca8aeb4e:8fffssyc With [sgit](https://sgit.ai/): `sgit clone` followed by the key. The key reads; it cannot write. ## Corrections None yet. A correction is made in place, dated here, and carried to the card, the vault and the article. ## The article [Granter's AI Grant Consultant on the GAMMA-Ray Spectrum: A2 · R1 · C1 · O1](article.md), written from this report for PrompTugal.news.