Analyst-grade methodology, terminal-grade visuals, powered by a specialized AI agent
> across 3 asset classes, 60 markets, backed by global macro data.
Product app.vinley.ai / Website www.vinley.ai
2. Vinley - Where we position us ?
- We're not just selling a product to someone else — as value investors ourselves, we're building the tool we've always wished existed for our own investment process.
- We position Vinley not just as another financial analysis/information application.
- We're pursuing a positioning similar to Canva and Gamma versus their competition by combining best of both worlds, on one-hand the traditional visual elements, on the other side leveraging AI.
2. Vinley is live & already in users' hands
Fully functional web application with users, research workflows and
3 subscription tier (Basic, Plus, Academic) offering
Speed
From 6 to hours to 20 seconds, instant investment insights, no more tab-hopping or manual digging.
Depth
3 asset classes + 60 Markets+ Intangibles + Forensic Accounting flags + Macroeconomics
Deep coverage across global stocks, ETFs, crypto, Brand intelligence, macro indicators, all in one place.
Clarity
Clear, easily textual & visual interpretable and multilingual insights built on quality data
2. Vinley's Domain-Specialized AI Agent
- Valuation & investing frameworks. Damodaran's lifecycle methodologies, classic value-investing texts (Graham, Klarman, Greenblatt, Lynch), own 250 pages of knowledge with moat and ROIC analysis, 140 API call/MCP server/4 child AI agents
- Forensic accounting & fraud detection. Beneish and Altman scoring models, Benford's Law, earnings-manipulation detection, validated against real cases (Enron)
- Audit standards & academic research. Core ISA standards, audit quality/independence research, AI's role in auditing, regulatory audit manuals
- Global accounting standards. IFRS, US GAAP, and local standards (India, China) with cross-jurisdiction comparisons
- Regulatory filings. Full SEC filing library (10-K, 10-Q, 8-K, insider forms) with practical interpretation guides
- Macro, portfolio strategy & corporate performance. Sovereign risk and all-weather portfolio construction, competitive strategy frameworks, organizational performance research
- Applied case studies. Berkshire Hathaway, Bridgewater, and Enron used to ground theory in real-world outcomes
Vinley is grounded in an institutional-grade corpus — spanning valuation, forensic accounting, audit, global accounting standards, and regulatory filings before it searches the web as fallback.
Pretraining data of frontier models is excluded
4. Market Size
$75T
U.S Households Financial assets (US FED)
%40+
Self Directed investors (IIROC)
100M+
Active investor (ESMA)
160M
Demat accounts (SEBI)
(TAM)
$15B+
The entire market opportunity for investment research and analytics tools globally
(SAM)
$4B to 6B
The segment of TAM accessible to Vinley's current product offerings
Market (SOM)
$38M
Realistic 3–5-year goal through direct and partner-driven acquisition ($155/year x 250.000 Users)
A vast and expanding market ripe for disruption.
5. Our main competitors - Large-language models
Anthropic Claude, OpenAI ChatGPT and xAI Grok
Competition
- LLMs require adequate user prompting skills & willingness to write agents/skills in markdown language
- LLMs remain a probabilistic technology with risks of AI hallucination
- Long latencies when asking for graphs & ineffective resources and credits usage & mostly chatbot-first modality for human-machine interface → analogy to air traffic control that will not be replaced by chatbots as brain processing speed of information is in average 7 times faster for visual vs text*
- LLMs are moving to search engines and information aggregators using less pretrained information
- Some LLMs rely on outdated results between 1 to 6 quarters for LLMs (Source: Vinley quarterly benchmark, December 2025)
*Source: Why AI alone is not the future of financial information systems, What neuroscience teaches us about human cognition and multimodal interfaces, Candi Carrera, May 2026
Our differentiation
- Retail users cannot and do not want to prompt - they are lazy prompters → we include contextualised AI actions triggered by single click through the VInley user interface
- Designed for users with primary focus on valuation & investment risk
- Unique features like Forensic Accounting signals confirmed by our Tier 1 users
- Hybrid human-machine interface → we believe in mixed modality like Canva & Gamma → confirmed by observing our users prompt & brain processing time of information across modalities
- Visual interpretation (traffic lights) and repeatable analysis workflows (AI trained)
- One-stop shop across stocks, ETFs, crypto & 60+ markets with intention to expand to bonds → we aggregate best possible databrokers
- Trust, explainability and repeatable decision support
7. The core team
9. Use of funds - depth, breadth and team expansion
Depth of Vinley
- increasing depth of technology stack by adding agentic & contextual memory capabilities, multilingual interface on top of already existing multilingual chat capabilities
- Reducing by 20% AI agent latency through improved performance by reviewing latency (API vs MCP, Copilot vs Foundry)
- Deeper Forensic Accounting analysis through NLP (Natural Language Processing) in collaboration with top AI university in UK
- Starting to build specialised language model (SLM) with tabular foundation models (TFMs)
Breadth of Vinley
- 4th asset class with bonds (corporate & sovereign)
- adding full international financial reports and audit opinion/audit matters analysis (Step 6)
- Portfolio performance
- Gamification through talent & skills tree with XP & levels (pilot phase done on Discord & LinkedIn)
- Adding Pro subscription with ESG, Sanctions & intangible assets to Vinley (3 databrokers already identified)
- Uncapping revenue ceiling of Basic & Plus with credit system for all 3 tiers
- Flywheel / network effects (every prompt shall make Vinley's AI agent better) through supervised learning
Team
- hiring software backend developer
- hiring of fractional Chief Revenue Officer for B2B (small advisory firms) & B2Edu (Academic)
- hiring of 3-year PhD student from University of Edinburgh for AI/ML on deep forensics accounting NLP co-financed (76% to be confirmed) by Scottish government with publication & build up of credentials for Vinley → intention to retain as Chief Scientific Officer
Investing talent tree simplified concept in Gamification
This round is a focused acceleration : funding development sprint across 3 high-impact pillars
Vision & closing words
"My dream is that, 5 to 10 years from now, we'll have built THE reference financial tool for retail investors, serving 100+ countries and over 100,000 users, helping people achieve financial and intellectual freedom by keeping them out of risky, ill-informed investments while educating them.
We are seeking investors that want to pursue the same vision & mission with us."
- Candi Carrera - Co-founder & CEO
Thank you for your time.
Interested to discuss further ?
Please contact candi.carrera@nextgenvi.com or enrik.suhr@nextgenvi.com
Product app.vinley.ai / Website www.vinley.ai