AlphaSense vs. Driven: Bringing Institution-Level Research Within Reach of Individual Investors

AlphaSense is one of the most influential AI market-intelligence platforms in the market. It serves more than 7,000 enterprise customers, including 90% of the S&P 100, 90% of the leading investment banks, and 95% of the leading consulting firms. Its core value is the combination of broker research, expert interviews, company documents, news, regulatory filings, structured financial data, and a firm's internal knowledge inside one searchable and auditable research environment.

By 2026, AlphaSense was no longer just a smarter financial search engine. Generative Search can reason across text, financial data, and internal knowledge. Deep Research and Workflow Agents can complete company research, industry analysis, diligence, earnings preparation, and competitive benchmarking, then produce reports, tables, presentations, and other finished work. Custom Workflow Agents can also preserve and schedule recurring research processes.

The comparison with Driven is therefore not “a traditional database versus an AI agent.” Both products now use agents, professional data, citations, and automation. The real distinction is what each product places at the center of the experience.

For individual investors, the comparison has another important implication. Professional data, multi-source retrieval, standardized analysis, automated monitoring, and cited research outputs have traditionally depended on institutionally procured platforms such as AlphaSense. Driven packages a meaningful share of those research capabilities into a product an individual can subscribe to directly, without taking on an enterprise procurement and deployment model.

“Comparable” here refers to the research capability and workflow, not to an identical content library. AlphaSense retains clear advantages in proprietary broker research, expert interviews, private-company intelligence, and enterprise knowledge. Driven narrows a different gap: individual access to professional data, repeatable analytical methods, agent automation, and portfolio-aware tools.

AlphaSense's hardest advantage to replicate is its content

AlphaSense aggregates more than 500 million public, private, premium, and proprietary documents. Users can work not only with company filings and earnings calls, but also with research from more than 1,000 sell-side and independent firms and the Tegus Expert Insights library. A company study can bring together management statements, analyst views, industry-operator perspectives, and the user's own prior research.

That combination matters in institutional research. Important evidence often sits outside financial statements—in broker opinions, channel checks, customer commentary, industry publications, and internal meeting notes. AlphaSense makes these fragmented and permissioned sources available through one search, citation, and access-control layer.

AlphaSense is also expanding its quantitative and modeling capabilities. Financial Data includes standardized statements, consensus estimates, industry KPIs, valuation metrics, and transaction data. Canalyst adds more than 4,100 auditable, drivable, automatically updated company models. Analysts can update data through the Excel add-in, trace figures back to disclosures, and continue editing DCFs, scenarios, and forecasts.

For an institution that needs premium content, expert access, broker research, internal knowledge management, and enterprise permissions, AlphaSense has built a meaningful content and organizational moat.

Driven puts the investor, not the library, at the center

Driven also provides professional data across live prices, financial statements, filings, earnings calls, institutional holdings, insider activity, technical indicators, news, macro, crypto, FX, and commodities. The product, however, is not organized around one shared enterprise research library.

Driven's primary unit is an independent investment Agent. Each Agent has its own long-term memory, research history, investment style, portfolios, and scheduled tasks. Value, growth, momentum, and macro strategies can run in separate Agents so that incompatible assumptions do not leak into the same context.

Each portfolio also has its own Playbook. The Playbook preserves the investment universe, screening criteria, position limits, risk preferences, benchmark, and buy or sell discipline. When the Agent researches a stock, it can go beyond “is this company interesting?” and evaluate whether the idea fits the rules of the portfolio in front of it.

That makes Driven closer to an investment workspace for an individual or small team. Research is not treated as a standalone project; it becomes part of an ongoing portfolio-management process.

Both products have agents, but those agents play different roles

AlphaSense Workflow Agents are primarily designed to automate institutional research. They can work across broker reports, expert transcripts, company documents, news, and internal material to complete a multi-step analysis and produce a deep-research report, pitch deck, memo, table, or slide. Organizations can also create centrally managed agents so that teams apply the same research framework.

Driven Skills similarly define the analytical framework, data sources, execution steps, output structure, and quality checks in advance. The difference is that these Skills operate inside an Agent with persistent investment state. They can use the portfolio, Playbook, and prior research, then connect the output to scheduled monitoring and paper trading.

Consider how each system could handle an earnings release from a portfolio company.

AlphaSense can search the new filing, call transcript, broker research, and expert commentary; refresh a Canalyst model; compare management language with market expectations; and produce a cited earnings review or presentation.

A Driven scheduled task can invoke Stock Analysis, Valuation Matrix, or Portfolio Monitor and combine the release with market data and the current position. The Agent can then apply the Playbook: Has revenue growth fallen below the strategy's threshold? Is valuation still acceptable? Has the position exceeded its cap? Does the original thesis need to change? The user can also move the conclusion into paper trading through natural language and test the adjusted portfolio at real market prices.

AlphaSense is stronger at turning an institution's evidence into a high-quality research deliverable. Driven emphasizes moving research into a personal strategy, position, and next scheduled check.

An institution-like workflow without an enterprise subscription model

AlphaSense is designed for financial institutions, large companies, and professional-services teams. It sells tailored annual subscriptions at the seat or enterprise level, does not publish standard prices, and asks prospective customers to contact its sales team. It also supports internal-content ingestion, permission mirroring, BYOK, BYOB, and private-cloud deployment. Those procurement and deployment requirements are not merely friction; they are part of the licensing, security, and compliance structure required by institutional content.

Driven uses a self-serve subscription model. Users can start for free, and its public Pro plan is $20 per month. An individual does not need to contact sales, procure a data terminal, configure model providers, or deploy enterprise connectors before using professional financial data, cited deep research, repeatable Skills, multiple investment Agents, scheduled monitoring, Playbooks, and paper trading. The same Agent is available on the web, mobile, Telegram, and WeChat.

The user does not receive AlphaSense's complete proprietary-content entitlement. What they can build, however, looks much closer to a professional research process than a conventional retail investing app: discover an opportunity, call live data, apply a consistent analytical framework, verify the sources, connect the conclusion to portfolio rules, and keep monitoring the outcome. Driven's deepest equity-data coverage is in the US, Hong Kong, and mainland China, with additional context across ETFs, US options, macro, crypto, FX, and commodities.

The products serve different organizational scales. AlphaSense helps an institution unify external market intelligence with internal knowledge. Driven lets an individual investor or small team run a memory-rich, rules-based, portfolio-aware investment process without building an institutional technology stack.

Which product is the better fit?

AlphaSense has a clear advantage when the priority is broker research, expert interviews, private-company intelligence, internal-document search, institutional collaboration, and enterprise access controls. It is particularly well suited to investment banks, asset managers, private-equity firms, consultancies, corporate-strategy teams, and M&A functions. Its content universe is difficult for a general financial assistant to reproduce.

Driven is a closer fit when the priority is for AI to remember a personal investment method, conduct ongoing research and monitoring under portfolio rules, separate several strategies across specialist Agents, and test decisions through paper trading. It is not a low-cost replica of every AlphaSense content entitlement. It gives individual users access to multi-source, traceable, automated research capabilities that were previously associated mainly with professional institutions—without requiring them to buy and deploy an enterprise market-intelligence platform.

The products can also sit at different layers of the same workflow. AlphaSense can provide deep, proprietary, institution-ready intelligence. Driven can place research findings inside an investor's own Playbook, portfolio, and recurring tasks. AlphaSense answers, “What reliable evidence does the organization have?” Driven continues with, “What does that evidence mean for my strategy and positions, and what should happen next?”