Discover
Free
$0
Limited market access, long-range historical context, selected forecasts, and daily Top BUY / SELL discovery.
Seeking a $15.69M Series A
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 August 23, 2026
7,000+
prompt configurations
100+
analysis frameworks
5
current market categories
3 years
planned Series A runway
The investor problem
Investment decisions are informed by many disconnected channels
Investors combine brokerage tools, professional advice, media, personal networks, and social platforms—often without one consistent framework for comparing the evidence.
| 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 |
Share of surveyed investors using each information source. Percentages do not total 100% because respondents could select multiple sources.
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.
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.
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.
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
Accessible research. Deep forecasting discipline. High transparency.
No single chart should mix a closed hedge fund, an institutional operating system, a news site, and a retail research product as if they were interchangeable. This funnel first tests who can use a product and at what cost, then compares the public shortlist on interface usability, forecasting workflow, transparency, and evidence.
Higher is up and rightRenaissance MedallionCitadelBerkshire Hathaway (Buffett era)ChatGPTClaudeGeminiMetaStockTrendSpiderBarchartVectorVestSimply Wall StMorningstarSeeking AlphaTipRanksZacksThe Motley FoolDanelfinTickeronComposer by SoFiKoyfinAlphaSenseBloomberg TerminalBlackRock AladdiniPulse AI
Transparency →
Forecasting discipline →
Selected benchmarks only. Use the tables below for the complete comparison and evidence.
Investment track recordsGeneral AIMarket news & educationTechnical signal toolsRetail researchPredictive systemsProfessional platformsiPulse AI
Scoring discipline
Transparency combines source and data provenance, visible methodology, explanation or citation traceability, and historical output auditability. Forecasting discipline combines documented investment outcomes or a dedicated, repeatable forecasting workflow with persistent evaluation. A 5 is reserved for exceptional documented long-run outcomes or extensive forecast-workflow depth; it never means guaranteed future accuracy. Track records and software are different comparator types, so the map is directional context rather than a like-for-like performance ranking.
| Product | Primary category | Audience and access | Entry price band | Interface usability |
|---|---|---|---|---|
| iPulse AI | iPulse AI | Broad self-serve investors; professional workflows planned | Free / Low | 5/5 |
| Renaissance Medallion | Investment track records | Closed fund; not available to the public | Not purchasable | N/A |
| Citadel | Investment track records | Institutional investment firm; not a retail research product | Not directly purchasable | N/A |
| Berkshire Hathaway (Buffett era) | Investment track records | Public company shares; no research-software subscription | Not a research product | N/A |
| ChatGPT (Deep Research) | General AI | Broad self-serve access | Free / Low | 5/5 |
| Claude (Advanced Research) | General AI | Broad self-serve access | Free / Low | 5/5 |
| Gemini (Deep Research) | General AI | Broad self-serve access | Free / Low | 5/5 |
| Perplexity (Deep Research) | General AI | Broad self-serve access | Free / Low | 5/5 |
| CNN Business | Market news & education | Open web access | Free | 4/5 |
| NerdWallet | Market news & education | Open web access for broad retail audiences | Free | 4/5 |
Initial comparison of audience access, entry pricing, and interface usability across all reviewed products.
Free; Low: under $25/month; Medium: $25-$99/month; High: $100-$499/month; Very high: $500+/month; or Contract / not directly purchasable. Bands use the lowest relevant ongoing tier visible from public information, normalized approximately to a month, and exclude temporary promotions, data fees, and optional add-ons.
Interface usability is a directional management assessment of navigation, information density, onboarding, and suitability for the stated audience: 1 is highly specialist or legacy-dense, 3 is functional with a learning curve, and 5 is streamlined and modern. It is not a laboratory usability study.
| Product | Forecasting discipline | Transparency | Interface usability | Evidence basis |
|---|---|---|---|---|
| iPulse AI | 5/5 | 5/5 | 5/5 | Designed around independent AI views, comparable cross-asset research, visible disagreement, documented methodology, persistent forecast history, and inspectable evaluation. The 5/5 reflects workflow depth, not proven future accuracy. |
| ChatGPT (Deep Research) | 3/5 | 5/5 | 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 persistent forecast record. |
| Claude (Advanced Research) | 3/5 | 5/5 | 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 (Deep Research) | 3/5 | 5/5 | 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 (Deep Research) | 2/5 | 5/5 | 5/5 | Answers link to original filings, transcripts, and data; native investment forecast history and standardized cross-market comparison remain limited. |
| MetaStock | 2/5 | 2/5 | 2/5 | Offers technical analysis, backtesting, scanning, and buy/sell signals across asset classes, with a specialist desktop-oriented workflow and largely proprietary implementation. |
| TrendSpider | 3/5 | 3/5 | 4/5 | Makes user-defined strategy rules, backtests, metrics, and bots inspectable; outcomes depend on user setup rather than a standardized market-wide forecast history. |
| Barchart | 2/5 | 3/5 | 2/5 | Provides broad market data, screeners, charts, technical opinions, and alerts at accessible prices; the interface is information-dense and forecasting is not preserved as one standardized cross-market record. |
| VectorVest | 3/5 | 2/5 | 2/5 | Supplies daily rankings, buy/sell/hold ratings, market timing, and portfolio tools across thousands of stocks; key models are proprietary and the full workflow retains a traditional specialist-software feel. |
| Simply Wall St | 3/5 | 4/5 | 5/5 | Visual company reports expose financial inputs, valuation drivers, and supporting research, while some scoring remains proprietary. |
Shortlist comparison based on forecasting discipline, transparency, interface usability, and public evidence.
Directional management assessment of public evidence reviewed August 14, 2026. Pricing and access can vary by country, promotion, billing term, data entitlement, and negotiated contract. 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.
| Rank | Product | Composite score | Forecasting discipline | Transparency | Interface usability | Time to comparable insight | How the shortlist is produced |
|---|---|---|---|---|---|---|---|
| #1 | iPulse AIComposite leader | 5.0/5 | 5/5 | 5/5 | 5/5 | Instant* | Completed asset-by-asset research is normalized, persisted, and ranked before the user opens it. |
| #2 | Seeking Alpha | 4.0/5 | 4/5 | 4/5 | 4/5 | Instant* | Published quant ratings, rankings, and contributor research are immediately accessible; the final quant model remains proprietary. |
| #3 | ChatGPT (Deep Research) | 3.8/5 | 3/5 | 5/5 | 5/5 | 30 min–600 h* | One user-scoped report. Comparable asset-by-asset research and ranking require repeated, consistently structured runs. |
| #4 | Claude (Advanced Research) | 3.8/5 | 3/5 | 5/5 | 5/5 | 30 min–600 h* | One user-scoped report. Comparable asset-by-asset research and ranking require repeated, consistently structured runs. |
| #5 | Gemini (Deep Research) | 3.8/5 | 3/5 | 5/5 | 5/5 | 30 min–600 h* | One user-scoped report. Comparable asset-by-asset research and ranking require repeated, consistently structured runs. |
Composite formula: forecasting discipline 60%, transparency 25%, and interface usability 15%. Time is shown as a supplemental workflow dimension and is not included in the composite score. *Instant means immediate access to completed, persisted, or already-published research—not live completion of a new deep-analysis run. For ranks 3–5, 30 minutes represents an individual deep-research run; *600 hours is the estimated upper bound when the comparable asset-by-asset workflow is run prompt by prompt. The ranking reflects the stated product-workflow criteria and management assessment of public evidence. It is not a forecast-accuracy test, investment-performance ranking, endorsement, or guarantee of future results. Equal displayed scores retain their order from the Stage 2 shortlist.
Why one “top 10 stocks” prompt is not the same workflow
General-purpose AI can research individual companies well. But a single broad prompt such as “give me the top 10 stocks to buy” normally produces one user-scoped synthesis; it does not automatically prove that every candidate was researched independently with the same schema, evidence requirements, preserved forecast history, and evaluation process. iPulse AI runs the structured workflow asset by asset, normalizes the completed outputs, and only then ranks them across the covered universe. A user can reproduce that pattern with general AI, but must orchestrate and compare the repeated research runs themselves.
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, Barchart, VectorVest | 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, Zacks, The Motley Fool, Investing.com, Moby | Accessible research, ratings, screeners, and portfolio tools | Typically centered on one content, scoring, or research system |
| Predictive trading systems | Danelfin, Tickeron, Trade Ideas, Kavout, Composer by SoFi | Purpose-built signals, scores, and active-trading workflows | Often tied to one model family, asset focus, or trading workflow |
| Professional data platforms | Bloomberg, BlackRock Aladdin, AlphaSense, Koyfin, Fiscal.ai, TradingView | Exceptional data and professional workflow depth | Specialist complexity, higher learning curves, and fragmented forecasting experiences |
Category-level comparison of representative products, their principal strengths, and the workflow gap each approach commonly leaves.
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
$15.69M Series A for focused scale
Future Edge Group is seeking a Series A to fund a planned three-year scaling program across product development, AI and data infrastructure, Growth and Distribution, and a deeply capable multidisciplinary team.
Planned staffing
Hiring is intended to be phased against product, research, and commercial milestones. The careers page describes the talent roadmap, not a requirement to fill every listed role simultaneously.
Milestone discipline
Capital deployment is planned around measurable releases, research coverage, customer adoption, distribution partnerships, and operational readiness.
| Workstream | Share | Amount | Purpose |
|---|---|---|---|
| Growth and Distribution | 38% | $5,962,200 | Customer acquisition, strategic partnerships, content, communications, creator channels, and measured market expansion |
| Staffing | 35% | $5,491,500 | Phased hiring across quantitative research, portfolio intelligence, AI, data, product, design, partnerships, and specialist contractors |
| AI, Data and Cloud | 12% | $1,882,800 | Model usage, market-data feeds, research computation, cloud infrastructure, security, and observability |
| Operations and Reserve | 10% | $1,569,000 | Insurance, software, administration, operating continuity, and milestone-based contingency |
| Legal, Compliance and Security | 5% | $784,500 | Corporate, financing, securities, privacy, compliance, governance, and security readiness |
| Total Series A plan | 100% | $15,690,000 | Planned allocation, subject to financing terms, diligence, timing, and operating milestones. |
Planned allocation of the $15.69M Series A across staffing, infrastructure, distribution, operations, and company readiness.
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 $15.69M Series A for the planned three-year scaling program 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.
Investor and partner contact
Have Questions? Reach Out.
Request the pitch deck, discuss the Series A, or explore a strategic partnership directly with Future Edge Group.