Complete AI Training

AI app for finance · no coding needed

Transparent opportunity matching and shortlist platform

Reduce shortlist assembly time while keeping every ranking and recommendation traceable.

Made for: Investors and investment teams screening startups for a defined thesis

What Transparent opportunity matching and shortlist platform looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Opportunity signals, relationship context and diligence questions sit in separate tools, so shortlists are slow to assemble and hard to audit.

What it gives you

Reviewer-approved shortlist linked to source evidence

What you give it

Permitted market signalsrelationship datapitch decksthesis criteria

Build your own version of Vela OS, Vela Terminal and more

One app with what these 3 AI tools do, yours to keep and change: Vela OS, Vela Terminal, Accorata.

Everything these tools do, in one app

  • AI-powered task automation Automates repetitive tasks to save time and reduce manual effort.Found in Vela OS
  • Customizable user interface Allows users to personalize the interface with drag-and-drop widgets.Found in Vela OS
  • App integration Connects seamlessly with popular productivity and communication apps.Found in Vela OS
  • Advanced security protocols Ensures data privacy through advanced security measures.Found in Vela OS
  • Performance monitoring Monitors and optimizes system performance in real time.Found in Vela OS
  • Regular updates Provides frequent updates that improve functionality and user experience.Found in Vela OS
  • Market trend identification Provides a broad view of growing sectors and emerging ideas, allowing users to explore specific markets.Found in Vela Terminal
  • Relationship mapping Visualizes connections between investors and startups to help understand networks and find introduction paths.Found in Vela Terminal
  • Startup analysis Uses AI agents to evaluate startups by generating pros and cons, due diligence questions, and scoring opportunities.Found in Vela Terminal
  • Conversational querying Allows users to ask in-depth questions and receive detailed insights interactively.Found in Vela Terminal
  • Open-source research foundation Builds on published machine learning models and academic collaboration to support analytical capabilities.Found in Vela Terminal
  • Market signal refreshes Refreshes market signals every four hours tailored to the user’s investment thesis.Found in Accorata
  • Automated pitch deck processing Automatically processes and sorts pitch decks to prioritize relevant opportunities.Found in Accorata
  • Founder due diligence Provides tools to assist in identifying strong founding teams early.Found in Accorata
  • Open-source data integration Integrates open-source data for comprehensive startup scouting.Found in Accorata
  • Responsive support team Offers a support team focused on platform enhancements based on user input.Found in Accorata

How it works, step by step

  1. Capture the investment thesis and screening criteria
  2. Refresh market signals on a defined schedule
  3. Process and sort incoming pitch decks
  4. Map relationships between investors, founders and startups
  5. Generate pros, cons and diligence questions per startup
  6. Score opportunities against stated criteria
  7. Answer conversational questions with source-linked insights
  8. Flag founder and team signals for early review
  9. Integrate permitted open-source and public data
  10. Compare the reviewed result with the recorded baseline and value assumptions
  11. Capture corrections and named-owner approval before consequential use
  12. Export a versioned reviewer-approved shortlist linked to source evidence with source references and unresolved questions

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Transparent opportunity matching and shortlist platform with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Transparent opportunity matching and shortlist platform with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links4 KB
  • questions.mdQuestions to answer before you build3 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
  • demo/index.htmlThe working demo on sample data194 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

Reduce shortlist assembly time while keeping every ranking and recommendation traceable. For investors and investment teams screening startups for a defined thesis, convert permitted market signals, relationship data, pitch decks and thesis criteria into a reviewer-approved shortlist linked to source evidence. The benefit is a testable hypothesis, measured through shortlist hours per accepted candidate and corrections after investment committee review; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted market signals, relationship data, pitch decks and thesis criteria, then follow this sequence: 1. Capture the investment thesis and screening criteria. 2. Refresh market signals on a defined schedule. 3. Process and sort incoming pitch decks. 4. Map relationships between investors, founders and startups. 5. Generate pros, cons and diligence questions per startup. 6. Score opportunities against stated criteria. Resolve uncertain cases with qualified reviewers, approve reviewer-approved shortlist linked to source evidence, and measure shortlist hours per accepted candidate and corrections after investment committee review against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One defined thesis scope and permitted data sources; final investment judgments and relationship claims remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, data permissions and confidentiality. Reviewers approve substantive rankings and relationship claims before external use. One defined thesis scope and permitted data sources; final investment judgments and relationship claims remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One defined thesis scope and permitted data sources; final investment judgments and relationship claims remain human. Implement one approved input format, a bounded representative case set and the first two task modules: capture the investment thesis and screening criteria; refresh market signals on a defined schedule. Support the remaining modules with operator review: process and sort incoming pitch decks; map relationships; generate pros, cons and diligence questions; score opportunities; answer conversational questions; flag founder signals; integrate permitted open-source data. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Investor-owned CRM, authorized pitch deck sources and permitted public data. Cloud storage, calendar and communication tools, and export to committee formats. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Thesis and criteria setup, Opportunity workspace, Shortlist and committee review. Use a sortable opportunity list, a central profile canvas, and a right-hand panel for signals, relationships, diligence questions and comments. Let users compare candidates side by side. Display sourced, under review and approved states. Provide a committee preview link with comments anchored to the relevant claim. Make the task-specific outcome reviewer-approved shortlist linked to source evidence visible beside its evidence, review state and value baseline.