Ninethirty AI

Company profile:

Startup name: Ninethirty AI

Tagline: Ready to unlock the full potential of Your All-inclusive Trading Ecosystem!

Elevator Pitch: NineThirty is a single workspace for equity research and validation, built around a customizable screener, Dr. Market, and backtesting. Screen the market for setups, ask Dr. Market to analyse a stock or explain a trend in plain language, then backtest the idea against history before you risk a dollar. Layer in real-time index snapshots, sector heatmaps, pre-market movers, sentiment-tagged news, and an economic/earnings events calendar to stay ahead of the tape. Start free with NineThirty’s screener and news, then bring in Dr. Market and backtesting to validate every trade.

NineThirty pairs a screener, Dr. Market (its AI copilot), and backtesting with real-time index data, sector heatmaps, pre-market movers, sentiment-tagged news, and an events calendar – one workspace to research and validate every trade. Free to start.

Target Market: US Equity Traders

How will you make money?: Subscription

How much capital have you raised?: 2-5m

Website: https://ninethirty.ai/

City/Country: India

AI-assisted summary:

NineThirty AI is a web-based market-research platform for US equities that combines stock screening, company analysis, news, event calendars, sector views, seasonality tools and an AI assistant called Dr. Market. (Source: https://ninethirty.ai/) It matters because it is designed to reduce the fragmented, multi-tab workflow many active traders use to connect technical signals, fundamentals and market-moving information. (Source: https://ninethirty.ai/about-us/)

Problem and target users

The startup targets self-directed traders and investors researching NYSE- and Nasdaq-listed securities, rather than institutions seeking trade execution or personalized portfolio management. (Source: https://ninethirty.ai/screener/company/) NineThirty frames the core problem as research fragmentation: traders may use separate products for screens, charts, financial statements and news, then move figures into a general-purpose AI tool for interpretation. (Source: https://ninethirty.ai/about-us/)

That workflow creates a particular reliability concern when an AI model supplies financial facts from memory rather than from current underlying data. (Source: https://ninethirty.ai/about-us/) NineThirty explicitly says it is not a broker, does not execute orders or hold customer assets, and is not an investment adviser offering personalized advice. (Source: https://ninethirty.ai/about-us/)

Product and solution

NineThirty’s central proposition is an integrated research environment in which traders can screen the market and investigate individual companies without moving among disconnected tools. (Source: https://ninethirty.ai/) Its company pages bring together live market prices, technical indicators, support and resistance levels, news, corporate actions, exchange filings, insider-dealing information, financial statements, ratios and peer comparisons. (Source: https://ninethirty.ai/screener/company/)

• Screening and validation: The platform supports screens that combine fundamental, technical, news and event conditions, and presents historical backtest results such as win rate, average return, maximum drawdown and number of occurrences. (Source: https://ninethirty.ai/about-us/)
• Event and market context: Its dashboard includes market pulse data, sector heatmaps, market news and upcoming economic or company events intended to highlight potential catalysts. (Source: https://ninethirty.ai/)
• Seasonality research: The seasonality product analyzes historical monthly performance, positive-rate metrics and seasonal consistency, while explicitly stating that historical patterns are not predictions. (Source: https://ninethirty.ai/screener/seasonality)
• AI analysis with a stated data constraint: NineThirty says Dr. Market receives figures from its data layer—including pricing, fundamentals, news, filings, corporate events, sector data and seasonality—rather than relying on its own memory or web search for facts. (Source: https://ninethirty.ai/about-us/)

The product’s AI positioning is therefore less about issuing stock tips and more about helping a user interpret evidence assembled within the platform. (Source: https://ninethirty.ai/about-us/) The company says its outputs are intended to validate a thesis rather than outsource one, and that any published analysis is impersonal rather than tailored to an individual user’s holdings or risk profile. (Source: https://ninethirty.ai/about-us/)

Business model, pricing signals and traction

NineThirty promotes free entry points for its screener and news products, suggesting a self-serve acquisition strategy. (Source: https://ninethirty.ai/) However, the public pricing page reviewed did not expose readable plan names, prices or feature limits, so a paid conversion model cannot be confirmed from the available public material. (Source: https://ninethirty.ai/pricing/)

The founder, Ritvik Dashora, is identified on the company site as a CFA Charterholder and co-founder of both NineThirty AI and Tradomate. (Source: https://ninethirty.ai/about-us/) Public information reviewed did not provide independently verifiable funding, revenue, customer or retention figures for NineThirty AI.

Expert take

NineThirty’s strongest positioning is its attempt to make the AI layer evidence-bound: research tools are plentiful, but a product that can connect screening, historical validation and source data in one workflow can be more useful than a generic chat interface. The key execution test will be whether its data coverage, freshness, backtest methodology and explanations are trusted enough to become part of a trader’s daily routine. With public pricing and traction details still limited, the company’s near-term story is primarily product-led rather than commercially proven.

Note: Information based on publicly available sources at the time of writing, and summarized by AI.