Granter
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.
of 2 found
and hashed
in 7 of 8 instruments
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; 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.
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.
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 · the governance layer
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 (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 (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 (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 (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 (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 (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 (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 (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 (captured 2026-11-10T10:43Z, sha256
f1fc4259db677c74) - Started in September 2023 under the name Lever Tax. "Granter is born (originally as Lever Tax)" Source (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 (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 (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 (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 (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 (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
- Bernardo Tavares, CTO and co-founder; named Data Protection Officer in the privacy policy. Source
- Rodrigo Alarcão, AI Product Manager. Source
- Bernardo Moutinho, Head of Operations. Source
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".
The evidence
| Source | Read | SHA-256 (first 16) |
|---|---|---|
| eco.sapo.pt/2025/11/13/portuguesa-granter-ai-e-a-startup-vencedora-da- | 2026-11-10T10:43Z | 0956d2819fc70a89 |
| framerusercontent.com/sites/Ih0Kv4pT3TC363Nt7lJX0/nhxka8BHi.DNESSsdK.m | 2026-11-10T10:43Z | 31b475a01c4bc7fb |
| granter.ai/ | 2026-11-10T10:43Z | 496f5c596f5aa81a |
| granter.ai/about | 2026-11-10T10:43Z | f1fc4259db677c74 |
| granter.ai/blog/ai-grant-consultant | 2026-11-10T19:45Z | 939ffa1a99921ceb |
| granter.ai/case-studies/clec | 2026-11-10T10:43Z | 930217dbabb636b8 |
| granter.ai/case-studies/fidelidade | 2026-11-10T10:43Z | 5540efe3cdd81e0a |
| granter.ai/case-studies/marinha | 2026-11-10T19:45Z | a6b46185d03c0012 |
| granter.ai/case-studies/montemor-o-novo | 2026-11-10T10:43Z | 2fcbc37b873a23db |
| granter.ai/case-studies/superbock | 2026-11-10T19:45Z | 0da57a037f92737b |
| granter.ai/geofundos-migration | 2026-11-10T10:43Z | edd09f8ab4306ebd |
| granter.ai/privacy-policy | 2026-11-10T19:45Z | 278075589d6cb147 |
| www.portugalglobal.pt/en/news/2025/november/uptec-startup-granter-wins | 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 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: 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, written from this report for PrompTugal.news.