Discover
Free
$0
Limited market access, long-range historical context, selected forecasts, and daily Top BUY / SELL discovery.
Seeking a $1.1M seed round
Investment relations
iPulse AI is an Open Agentic Investment Research Platform
iPulse AI turns thousands of AI research prompts into clear forecasts, consensus ratings, and a track record investors can inspect. Compare opportunities across asset classes—without broker links, trade execution, or incentives to trade more.
- Open
- Research, experiments, methods, and past forecasts stay inspectable
- Agentic
- Independent AI views, compared
- Investment Research Platform
- Research across assets. No trading.
Updated July 25, 2026
7,000+
prompt configurations
100+
analysis frameworks
5
current market categories
20 months
planned seed runway
The investor problem
Investment decisions are informed by many disconnected channels
The percentages below are not intended to total 100%. Respondents could select multiple sources they use when making investment decisions.
| Information source | Investors using it | FINRA survey wording summarized |
|---|---|---|
| Brokerage research and tools | 75% | Research and tools supplied by a brokerage or financial-advisory firm |
| Financial professionals | 69% | Recommendations from professionals who advise the investor personally |
| Business and finance articles | 67% | Articles in print or online |
| Friends, family, and colleagues | 65% | Investment information from personal networks |
| Social-media groups or message boards | 29% | Groups where people post investment ideas |
61%
of investors aged 18-34 reported using finfluencer recommendations in investment decisions.
Source: FINRA Foundation, 2024 NFCS Investor Survey, fourth edition published December 2025. An April 2026 FINRA Foundation research brief separately reported that 60% of respondents under 35 used social media and 61% followed finfluencers.
Platform definition
Open. Agentic. Built for investment research.
Three parts. One clear system: an open research record, independent AI views, and one place to compare investment choices.
- Open
- Inspect the research, experiments, architecture, configurations, methodology, evidence, past predictions, and lessons behind the system—including what did not work. All published documentation and research are transparent and open to the community. We welcome constructive feedback, challenges, and ideas.
- Agentic
- Independent AI agents study the same asset in different ways. See where they agree, where they differ, and why.
- Investment Research Platform
- Research only. No broker links. No trade execution. We do not benefit if users trade more. Compare major asset classes in one system and view wealth as one portfolio.
A hedge fund research desk in your pocket.
Deep research and one portfolio view—without custody, brokerage, or trade execution.
The product thesis
One AI is an opinion. 7,000+ prompts form a research institute.
iPulse AI is designed as a glass-box research system: users can inspect the drivers, risks, forecast paths, model disagreement, and historical records behind a consensus rather than receiving only one answer.
01
Specialized agents
Reusable personas, modes, tasks, and analysis frameworks examine the same asset from different angles.
02
Independent views
Multiple model-and-framework combinations produce separate reports and forecast paths.
03
Inspectable consensus
iPulse AI aggregates agreement and disagreement into a comparable rating and forecast view.
04
Historical audit trail
Users can revisit prior forecasts, reports, assumptions, and evolving evidence.
Market catalyst
$124 trillion is expected to transfer through 2048
Cerulli Associates projects that $124 trillion will transfer through 2048. iPulse AI is positioned around the resulting demand for digital, explainable research tools; it monetizes software subscriptions, not assets under management.
Primary source: Cerulli Associates, December 5, 2024.
| Market layer | Illustrative value | Planning logic | Interpretation |
|---|---|---|---|
| TAM: U.S. annual pool | $21.3B | 91.7M non-retirement investors x $228/year, plus approximately 35.3K investment firms x $12K/year. | Broad consumer and professional research-subscription opportunity. |
| SAM: digitally influenced | $6.5B | 26.6M retail investors using social media for investment information, plus the professional-firm universe. | Users and firms most aligned with digital research adoption. |
| SOM: five-year ARR case | $15M-$45M | Base planning case: 75K Base and 500 Professional customers, producing approximately $23M ARR. Upside: 150K Base and 900 Professional customers, producing approximately $45M ARR. | The upside case is about 0.7% of the illustrative SAM. |
Company planning model, not a forecast or valuation. Assumptions: $19 monthly Base pricing, $12K Professional annual contract value, and five-year adoption cases. Population and investor assumptions reference the U.S. Census Bureau Vintage 2025 estimates, FINRA Foundation investor research, and FINRA 2025 Industry Snapshot.
Go to market
Free discovery builds trust. Paid depth expands value.
Top Picks is the discovery wedge. Detailed asset research, full forecast history, fundamentals, and professional workflows create the upgrade path.
Research deeper
Base
$19/month limited offer
All supported markets, 50+ fundamental metrics, full past-forecast history, and Alpha Value Gap signals.
Scale workflows
Professional
Custom
Portfolio tracking, scheduled reports, forecast-accuracy metrics, client views, and custom asset onboarding.
Product leverage
One day of computation becomes instant, reusable access.
Management estimates that recreating the full workflow manually would require about 600 hours of nonstop prompt work and more than $5,000 in model usage per comparable deep-analysis run. Repeating that workflow company by company across a broad universe compounds the cost. iPulse AI automates the batch research, persists the outputs, and reuses cached results so one expensive computation can support many fast customer views.
- Estimated model budget per comparable deep-analysis run
- $5,000
- Manual prompt work
- ~600 hours
- Automated run
- Up to 1 day
- Base monthly offer
- $19 / month
The long work happens once. The user experience is one click.
Competitive positioning
High forecasting power. High transparency.
The upper-left contains exceptional investment track records with limited method disclosure. General AI sits lower because strong deep research is not the same as a persistent, standardized investment forecasting record. iPulse AI is positioned around repeatable forward-looking research and evidence users can inspect.
Tap the chart or use the controls to zoom. Drag to explore after zooming.
Higher is up and rightRenaissance MedallionCitadelBerkshire (Buffett era)ChatGPTClaudeGeminiPerplexityMetaStockTrendSpiderTrading CentralSimply Wall StMorningstarTipRanksSeeking AlphaStock RoverDanelfinTickeronTrade IdeasFiscal.aiTradingViewKoyfinAlphaSenseBloombergiPulse AI
Transparency ->
Forecasting power ->
Investment track recordsGeneral AITechnical signal toolsRetail researchPredictive systemsProfessional platformsiPulse AI
Common comparison metrics (1-5)
Transparency combines source and data provenance, visible methodology, explanation or citation traceability, and historical output auditability. Forecasting / investment process combines documented investment outcomes or a dedicated repeatable forecasting workflow with persistent evaluation. A 1 indicates limited evidence, 3 partial evidence, and 5 exceptional documented outcomes or extensive workflow depth. Track-record organizations and software products are different comparator types, so the map is directional rather than a like-for-like performance ranking.
| Product | Primary category | Forecasting / investment process | Transparency | Evidence basis |
|---|---|---|---|---|
| iPulse AI | iPulse AI | 5/5 | 5/5 | Designed to keep evidence, independent views, methodology, configurations, past forecasts, and evaluation inspectable. |
| Renaissance Medallion | Investment track records | 5/5 | 1/5 | Official Senate testimony describes exceptional returns generated by many small-edge model predictions and leverage, while the actual model rules and signals remain private. |
| Citadel | Investment track records | 5/5 | 1/5 | Citadel cites the LCH ranking of the firm as the most profitable hedge-fund manager by net gains through 2025; broad strategies are described publicly, but detailed models and positions remain private. |
| Berkshire (Buffett era) | Investment track records | 5/5 | 3/5 | Berkshire reports a 19.7% compounded annual gain from 1965-2025 versus 10.5% for the S&P 500. Annual reports, letters, holdings, and principles are public, but exact valuation models and timing decisions are not. |
| ChatGPT | General AI | 4/5 | 5/5 | Deep research exposes plans, source controls, citations, links, and reusable reports, but it does not provide a native market-wide investment ranking or comparable public forecast record. |
| Claude | General AI | 4/5 | 5/5 | Advanced Research supports sophisticated financial analysis with linked evidence, but the workflow remains user-scoped rather than a persistent, standardized cross-market forecasting system. |
| Gemini | General AI | 4/5 | 5/5 | Deep Research provides reviewable plans, chosen sources, and reusable reports, but it does not maintain a comparable investment forecast archive or standardized market-wide ranking. |
| Perplexity | General AI | 3/5 | 5/5 | Answers link to original filings, transcripts, and data; native investment forecast history remains limited. |
| MetaStock | Technical signal tools | 2/5 | 2/5 | Offers technical analysis, backtesting, scanning, and buy/sell signals across asset classes, but no common audited forecast record and a largely proprietary implementation. |
| TrendSpider | Technical signal tools | 3/5 | 3/5 | Makes user-defined strategy rules, backtests, metrics, and bots inspectable; outcomes depend on the user's setup rather than a standardized market-wide forecast history. |
| Trading Central | Technical signal tools | 3/5 | 3/5 | Publishes a chartist methodology built on patterns, support and resistance, indicators, and candlesticks, but offers limited product-level performance auditing. |
| Simply Wall St | Retail research | 3/5 | 4/5 | Visual company reports expose financial inputs, valuation drivers, and supporting research, while some scoring remains proprietary. |
| Morningstar | Retail research | 3/5 | 5/5 | Publishes detailed rating methodologies, underlying research, and performance reviews across major rating systems. |
| TipRanks | Retail research | 4/5 | 4/5 | Shows contributing market factors, analyst provenance, and track records; the final Smart Score remains proprietary. |
| Seeking Alpha | Retail research | 3/5 | 4/5 | Factor grades link to underlying metrics and contributor research is attributable; final quant weighting remains proprietary. |
| Stock Rover | Retail research | 2/5 | 4/5 | Detailed reports expose financial data and provider context, while the synthesized stock-rating algorithm is proprietary. |
| Danelfin | Predictive systems | 5/5 | 5/5 | Documents model inputs and alpha factors, preserves score history, and provides an open interactive audit of past AI Scores. |
| Tickeron | Predictive systems | 5/5 | 4/5 | Publishes forward-test statistics and trade records across agents, while the underlying patented model remains proprietary. |
| Trade Ideas | Predictive systems | 4/5 | 3/5 | Shows trade rationale, backtesting, and simulated or live signals; core AI selection logic is less fully disclosed. |
| Fiscal.ai | Professional platforms | 3/5 | 4/5 | Centers research on inspectable financial statements, transcripts, and models, with a proprietary AI synthesis layer. |
| TradingView | Professional platforms | 2/5 | 5/5 | Exposes market data, indicator logic, analyst-estimate methodology, and historical comparisons; native forecasting is limited. |
| Koyfin | Professional platforms | 2/5 | 4/5 | Provides broad historical statements, market data, charting, and exports; purpose-built proprietary forecasting is limited. |
| AlphaSense | Professional platforms | 4/5 | 5/5 | Keeps primary documents, snippets, and citations close to AI synthesis and monitoring workflows. |
| Bloomberg | Professional platforms | 2/5 | 5/5 | Provides extensive primary and third-party data, news, research, and documentation; forecasting is mostly analyst- or model-specific rather than the core product. |
Directional management assessment of public evidence reviewed July 25, 2026. Historical track-record points use reported investment outcomes; software points use public product capabilities. These are not equivalent performance measures. Scores do not claim forecast accuracy, future returns, endorsement, or exhaustive feature parity.
Scalability and distribution
The constraint is not deep reasoning. It is applying and distributing it across the whole market.
General-purpose AI can produce high-quality research for a company, personal portfolio, or market selected by the user. For a normal investor, however, the session is still bounded by the assets they choose and the context they provide. Repeating that depth company by company, then comparing every result on one consistent basis, becomes slow and expensive.
1. Analyze independently
Run deep research for each covered company rather than treating a portfolio as one shallow prompt.
2. Compare consistently
Normalize the outputs, preserve the evidence, and rank companies against the same decision framework.
3. Cache and distribute
Persist completed analysis so it can be served quickly and affordably across potentially millions of customer views.
iPulse AI converts large upfront research computation into a reusable intelligence layer: deep company-level analysis, cross-asset ranking, and fast low-marginal-cost access for a broad customer base.
Competitive landscape
Six approaches. One disconnected investor journey.
Most products optimize one part of the research process. iPulse AI is designed to connect independent AI views, consensus, market context, fundamentals, forecasts, and historical evidence.
| Category | Representative products | Core strength | Typical workflow gap |
|---|---|---|---|
| Demonstrated investment track records | Renaissance Medallion, Citadel, Berkshire Hathaway | Documented long-run investment outcomes and repeatable allocation processes | Detailed models, positions, valuation work, and timing decisions are private or disclosed after the fact |
| General AI research | ChatGPT, Claude, Gemini, Perplexity | Flexible analysis and natural-language interaction | No native investment memory, standardized consensus, or persistent forecast audit trail |
| Technical signal tools | MetaStock, TrendSpider, Trading Central | Rules, indicators, backtesting, scanning, and automated signals | Strategy quality depends on user setup and public standardized forecast histories are limited |
| Retail research and ratings | Simply Wall St, Seeking Alpha, Morningstar, TipRanks, Stock Rover | Accessible research, ratings, screeners, and portfolio tools | Typically centered on one content, scoring, or research system |
| Predictive trading systems | Danelfin, Tickeron, Trade Ideas | Purpose-built signals, scores, and active-trading workflows | Often tied to one model family, asset focus, or trading workflow |
| Professional data platforms | Bloomberg, AlphaSense, Koyfin, Fiscal.ai, TradingView | Exceptional data and professional workflow depth | Specialist complexity, higher learning curves, and fragmented forecasting experiences |
iPulse AI
Broker-independent by design
7,000+ prompts -> independent AI views -> consensus -> forecast audit trail
Current research coverage spans stocks, commodities, crypto, indices, and foreign exchange. The long-term product direction expands the same intelligence layer into bonds, real estate, art, and other alternative assets so investors can understand a broader portfolio under one roof without being tied to a specific broker.
Current financing objective
$1.1M for focused scale
Future Edge Group is seeking a seed round to fund an illustrative 20-month operating plan for product development, distribution, infrastructure, and a focused core team.
Staffing discipline
Hiring is intended to be phased against milestones. The broader roles shown on the careers page describe the company's talent roadmap; the seed plan does not assume every listed role is filled simultaneously.
| Workstream | Share | Amount | Purpose |
|---|---|---|---|
| CEO, team, and specialists | 40% | $440,000 | CEO runway; phased core growth, AI, product, and UI talent; selective contractors |
| Growth and distribution | 35% | $385,000 | Acquisition, partnerships, content, creator channels, and measured growth experiments |
| AI, data, and cloud | 15% | $165,000 | Model usage, market-data feeds, cloud infrastructure, security, and observability |
| Operations and reserve | 10% | $110,000 | Legal, compliance, insurance, software, administration, and contingency |
| Total seed planning case | 100% | $1,100,000 | Subject to financing terms, diligence, timing, and operating milestones. |
Investor FAQ
A direct path to diligence
This public page summarizes the current company-owned planning narrative. A detailed pitch deck, operating assumptions, technical discussion, and further diligence materials are available through direct conversation.
Is iPulse AI raising capital?
Yes. Future Edge Group is seeking a $1.1M seed round for the 20-month scaling plan summarized above.
Is iPulse AI a broker?
No. iPulse AI is independent research and decision-support software. It does not execute trades or provide personalized financial advice.
How can investors engage?
Email russlan@ipulseai.com to request the pitch deck or arrange a discussion.
Important information
This page is a company overview for potential investors and strategic partners. It is not an offer to sell, or a solicitation of an offer to buy, securities. Market sizes, customer cases, hiring plans, use of funds, product expansion, and other forward-looking statements are illustrative company planning assumptions and may change. Forecasting power refers to product workflow, not guaranteed prediction accuracy or investment returns. Any financing would be subject to appropriate diligence, definitive documentation, eligibility, and professional legal and financial advice.