Frequently Asked Questions

Yes—the Word download preserves the enhanced formatting, inline titles, icons, and the financial chart you see in the UI. You’ll get a fully formatted document ready for submission or further offline edits. Always preview the downloaded file to confirm layout and make final minor adjustments if needed.

Yes—ChatEIC now sends email notifications to alert you when a proposal is completed or when key actions occur. This helps you stay on top of deadlines and review cycles without constantly checking the app. Make sure your email is correct in account settings to receive these alerts.

Pricing is unchanged but reorganized into three tiers: Tier 1 gives credits to create proposals, Tier 2 adds interactive training and proposal templates, and Tier 3 includes a personal proposal review. Each higher tier includes the features of the previous one, so pick Tier 1 for DIY generation, Tier 2 if you want guided training, and Tier 3 if you want expert review before submission. Choose based on whether you need templates, hands-on training, or a personalized review.

ChatEIC now uses the GPT-5 model, which produces higher-quality text and better understanding of complex prompts. Prompts and input handling were updated to match the new model behavior, so outputs should be more accurate and relevant. You may notice different phrasing and improved coherence—review generated sections and fine-tune them in the new editor as needed.

You can edit proposals directly inside ChatEIC using the new in-app editor, so you don’t need to download and re-upload documents for most changes. The editor supports reimporting changes, regenerating specific sections, and iterating without leaving the app. Use the editor to apply training guidance in real time before exporting a final file.

The financial chart now projects revenues, costs, and profits for five years and adjusts projections based on the revenues you provide. If your input revenues are very low the system applies a sensible minimum; if they’re high, growth is scaled from your starting point. You can edit figures in the editor and re-generate projections to reflect more accurate assumptions.

The prompt logic was improved to more precisely blend your input with system instructions, so generated content reflects your data more accurately. That means details you provide—TRL, budgets, partners, etc.—are integrated into proposals rather than treated as optional. Still check numbers and names in the in-app editor and use regeneration for any sections that need tighter alignment.

Yes—training was rebuilt into interactive modules that you can open from the document editor. The guide displays alongside your proposal so you can apply tips and templates immediately as you edit. This makes it easier to follow recommended structures and improve your chances of meeting EIC expectations.

Full email sign-in was added alongside Google auth, and all previous accounts and data were migrated to the new system. If you used ChatEIC before the upgrade, your projects, credits, and settings should appear as you left them. If you can’t find something, contact support with your previous account email for assistance.

Insist that AI-generated content is treated as a draft that undergoes rigorous expert review and restructuring. Verify factual accuracy, refine the logic linking problem, solution, and impact, and ensure consistency across all sections. Combine AI assistance with training for your team and personalized reviews to keep quality high.

Use AI as a supportive tool for groundwork—drafting, summarizing, and formatting—but not as the primary author. Ensure a domain expert reviews and restructures the output so the scientific and business logic aligns with EIC expectations. Combine AI drafts with training and personalized reviews to raise quality and coherence.

While announcement timing can vary, the estimated date for the next Step 1 results is around February 16th. This is an estimate, not a guarantee, so keep checking official EIC channels and your application portal for the exact release. Plan to follow up if you don't see results around that date.

The main risk is compromised quality: rushed proposals often lack coherent structure, clear impact, and accurate technical positioning. These weaknesses are typically fatal in competitive EIC review processes. Allocate sufficient time and budget for expert input to avoid these pitfalls.

The interview week ended on January 23rd, so Step 3 interview results are expected to be released the following week. However, releases can be delayed, so monitor your inbox and the EIC platform closely. If you need confirmation, contact the program helpdesk for status updates.

Start several weeks to months before the deadline depending on project complexity; last-minute starts are usually a losing strategy. Early preparation allows time for expert revisions, alignment across technical, business, and impact sections, and iteration with any AI-assisted drafts. Build in buffer time for unexpected delays and feedback cycles.

Prioritize deep domain expertise and proven experience with all three EIC Accelerator stages. Ensure they understand how to structure and position projects for reviewers, not just polish language. Also confirm they emphasize overall logical coherence and matching the project's narrative to EIC evaluation criteria.

The next Step 1 deadline is March 3rd and the Step 2 deadline is March 4th. Use these dates to backward-plan your milestones: draft completion, expert reviews, and final checks. Don't wait until the last days to submit—allow time for final formatting and portal issues.

The EIC Pathfinder Open is an early TRL call offering about €4M and it has been officially published. You can find full details and submission instructions on the Subsidy platform, which also sends notifications for new calls and grants. Register on that platform to receive alerts and download call documents promptly.

Yes, ChatEIC is designed with highly specialized instructions tailored to EIC proposals, so it produces stronger drafts than generic tools. That said, it still won't deliver a perfect proposal and requires expert oversight. Use ChatEIC to accelerate draft creation, then have experienced reviewers refine content, structure, and impact arguments.

There were 611 submissions to the EIC Transition and 40 projects were selected for funding. That yields a roughly 6.5% success rate. If you applied, check the official portal or your email for the formal decision.

The EIC Accelerator winners from the 2025 call are expected to be announced within the next few days. Some companies are already being contacted for Financial Capacity Assessments, which is a strong sign decisions are imminent. Keep monitoring emails and the EU funding portal for the official publication.

EIC Transition grants can be awarded up to €2.5 million per project. Use this funding to advance technology maturation, market validation, and prepare for commercialization. Ensure your budget and work plan align with those objectives when accepting the award.

Being contacted for a Financial Capacity Assessment usually means you are under active consideration for funding and the evaluators are verifying your ability to manage the grant or investment. Respond promptly and provide complete, accurate financial documentation. Treat it as a positive indicator but wait for the formal result.

You can resubmit your EIC Accelerator proposal up to three times. Many funded companies were rejected at least once, so use reviewer feedback to iterate and improve your pitch, financials, and impact case. Plan a timeline for revisions and address any weaknesses noted by evaluators.

Not necessarily; results are still being finalized and communications may be staggered. If you haven't heard after the official results publication, you can treat it as a rejection and prepare to resubmit. Remember you can resubmit up to three times, so use feedback to strengthen your next application.

Yes—persistence is crucial. The Accelerator is highly competitive, offering up to €12.5 million including equity, and many successful applicants went through multiple rounds before winning. Continuously refine your proposal, gather stronger validation, and incorporate feedback to increase your chances.

Start by requesting and reviewing any available feedback, then map out specific improvements for technical readiness, market validation, and financial planning. Prepare a revised proposal addressing reviewer comments and consider engaging mentors or consultants experienced with EIC evaluations. Schedule your resubmission to stay within the allowed three attempts.

The EIC Accelerator offers up to €12.5 million, which can include a mix of grant and equity funding depending on the project. This is substantially larger than the Transition programme, so align your business plan with the scale of investment and be ready to demonstrate growth and commercialization potential. Ensure your financials and governance can handle large-scale funding if awarded.

The EIC Transition results were released, selecting 40 projects from 611 submissions. Each selected project can receive grants of up to €2.5 million. The overall success rate was about 6.5%, which is relatively strong for an EIC grant.

Very closely—evaluators routinely Google applicants, check LinkedIn, and verify team members and competitor claims. They may search by first names or other scant details to confirm authenticity and consistency. Make sure bios, team roles, milestones, and claims on your website and LinkedIn match what's in your proposal to avoid credibility issues.

Start by integrating AI tools into your workflow to increase efficiency, then shift to services AI can't fully replicate: relationship management, strategy, bespoke coaching, and complex negotiation. Reskill in adjacent areas (e.g., commercialization, investor readiness) and document unique intellectual capital you can monetize. Finally, streamline operations so you can offer leaner, higher-margin packages.

The latest batch shows higher interview success rates while Step 1 and Step 2 pass rates dropped, which indicates evaluators are more willing to advance interesting projects to interviews. This is a positive sign because getting to interview gives you the chance to directly influence their perception. Treat it as a cue to prioritize interview prep and refining the pitch rather than only focusing on written-stage polishing.

Ensure team titles, roles, and experience match the CVs and proposal descriptions, include clear product/technology claims with evidence, and update milestone timelines to mirror the proposal. Remove contradictory statements, add links to published papers or patents, and make key metrics easy to find. A quick audit by a colleague playing evaluator can catch inconsistencies you might miss.

'Very good' and 'average' are qualitative sub-scores in ESRs that signal strengths and weaknesses across evaluation criteria. Focus on turning 'average' areas into 'good' by adding concrete metrics, clearer impact statements, or stronger team evidence. Use the ESR Analyzer to quickly locate these tags and design targeted fixes rather than reworking the whole proposal.

AI is changing the market and may disrupt traditional grant consulting models, so caution is warranted but not panic. To remain relevant, build rare complementary skills (e.g., domain-specific expertise, negotiation, live pitching, network access) and learn to use AI as a force multiplier. Diversify offerings, focus on high-value services, and continuously upskill to stay competitive.

Anticipate scrutiny by documenting proof for every competitive claim—benchmarks, customer validation, IP status, and clear differentiators. Add a short competitive appendix or one-page summary with sources you can point evaluators to, and be ready to defend the positioning at interview with specifics. If gaps exist, acknowledge them and show a concrete plan to close them with timelines and responsible persons.

Higher interview rates suggest evaluators are pushing more borderline or high-potential projects forward for live assessment rather than eliminating them early. This can happen when evaluators want to resolve uncertainties via conversation. Practically, assume more applications make it to interview and invest time in rehearsing concise, evidence-based answers and demonstrable impact.

The ESR Analyzer digitizes European Summary Reports (ESRs) to extract sub-scores and highlights like 'very good' or 'average,' saving you manual review time. To try it, send your ESR to the creator and they'll return a digitized preview; a free offer is available but limited to the first respondents. Use the output to spot weaknesses quickly and prioritize improvements before re-submission or appeals.

The blog says the free offer is limited to the first few people who send their ESRs, so act quickly. Email or message the author with your ESR as instructed in the post and request the digitized version or preview. If you miss the free window, ask about paid options or a waitlist to still get the analyzer output.

ChatEIC is designed to generate narrative-rich drafts rather than lightweight bullet lists by prompting for metrics, validation, and contextual explanation. The templates and instruction improvements guide the model to include facts, evidence, and narrative flow, so proposals use available space effectively and read like professional drafts. You still need to refine tone and verify details, but the draft will be far more complete than a brainstorm.

If you previously purchased ChatEIC credits and want to test the updated version, send an email to the developer as indicated in the blog post. Include your purchase details and request access, and they will guide you on how to try the new features. Early users may get assistance to validate prefilled data and test the improved workflows.

DeepResearch is an integrated research module that generates detailed market, policy, and competitive analysis tailored to your project. The improved DeepResearch produces longer, more exhaustive articles in the Overview and Research tabs that help justify your positioning and impact claims. Use these outputs to strengthen sections that require evidence and context in your proposal.

No—ChatEIC is meant to produce a high-quality first draft that you must review, fact-check, and adapt to your specific project. The AI can misinterpret or invent details, so verifying quantitative claims, intellectual property statements, and partner roles is essential. Use the draft to save time on structure and narrative, but perform a careful validation pass before submission.

Gather key project documents such as your pitch deck, executive summary, technical reports, and any market or validation data you already have. Ensure documents include quantitative details (TRL, market size, revenue projections, team expertise) so the AI can extract accurate values. Clean, up-to-date documents will produce a more accurate prefill and reduce validation work afterward.

ChatEIC uses Perplexity DeepResearch with reasoning for the main research outputs, GPT-5 with reasoning for proposal generation and project prefill, and GPT-5-mini for certain module sections. This combination balances deep external research, high-quality narrative generation, and efficient module processing. The model selection aims to produce both thorough research and polished proposal text.

The improved UI now provides explicit prompts and messages when required fields are missing or when the model detects insufficient data to generate robust content. It will flag gaps and suggest what additional information is needed (for example, market metrics or technology readiness). Use those prompts to supply targeted details that improve the quality of the generated proposal.

ChatEIC is an AI-powered draft generator tailored for EIC Accelerator Step 1 proposals. It helps you create high-quality first drafts that follow best-practice structure, include relevant technology and business quantifiers, and reduce the time you spend explaining proposal expectations. Use it to produce a detailed starting draft that you then validate and adapt to your project specifics.

You upload a file (such as a pitch deck, executive summary, or technical document) and the AI extracts and populates the project questionnaire fields for you. After prefill, you must review and validate facts, figures, and assumptions—correcting inaccuracies and adding missing quantitative details like market size or TRL. Treat the prefill as a time-saving draft, not a final submission.

The update adds an AI project pre-fill that can populate your project inputs from an uploaded file, improved DeepResearch for more exhaustive research outputs, clearer instructions and UI prompts when data is missing, and email notifications for project generation. It also upgraded model usage—Perplexity DeepResearch for research, GPT-5 for proposal and prefill, and GPT-5-mini for some modules. These changes aim to speed drafting and improve content depth.

Generic AI tools often produce short bullets, vague sentences, and miss evaluation criteria because they lack project-specific data and grant-formatting knowledge. They also omit helpful elements like references, tables, and hyperlinks. To avoid sloppiness, augment AI drafts with project data, explicit prompts about evaluation criteria, and a requirements checklist before generation.