Falcon

What is Falcon Research?

Falcon Research is a tool for in-depth analysis of sales accounts, developed by Union Street AI Labs; it is intended for B2B sales and market entry teams. It uses AI agents to search the public internet in order to quickly gather information about the business of target companies.

The focus of this product is not on general academic searching, nor on pre-existing contact databases. It takes into account the company and its value proposition of the seller, and prioritizes those account details that are more useful for communicating with customers.

Main functions

In-depth research on the target company

After the user enters the target company, Falcon searches the public internet and gathers relevant information. The research dimensions listed on the page include leaders, competitors, financial data, and recent news.

• Identify the target company’s core business, management team, and market background.
• Organize the competitive landscape, disclose financial information, and present the latest developments.
• Provides a structured account overview for pre-meeting preparations.
• It helps sales staff save time by reducing the need to search back and forth between multiple web pages.

Filtering based on value proposition

Users can describe their products, the value they offer to customers, and the key selling points to Falcon. The system then selects information that is more relevant to the target accounts, rather than providing all salespeople with exactly the same generic summary.

The more specific the value proposition, the easier it is to develop a viable sales approach. If only vague slogans are used, the resulting output will lack differentiation and practical value.

Account analysis and sales perspective

Falcon not only generates a list of company facts, but it also creates opportunities for account analysis and dialogue based on publicly available data. The product team states that a sales perspective can be developed by taking into account the financial or news-related information that is identified.

These opinions are based on AI inference and should not be considered as the internal intentions or procurement commitments of the target company. Sales personnel should separate facts from suggestions and verify them separately.

Real-time public online research

The product emphasizes direct searching of the public web, rather than relying on traditional databases maintained by data providers. This approach helps to capture recent changes on web pages, but the results are still affected by the accessibility of those pages, their publication date, and the scope of indexing.

Large companies usually have more public information available, while small firms or local businesses may only have a limited number of web pages. Falcon can attempt to carry out searches, but it cannot guarantee that each account will have the same level of detail.

Rapid research

Under the per-use approach, a single study is described as taking less than 20 seconds to complete, which makes it suitable for quickly providing background information before a meeting or during the screening of candidates. The actual speed may be affected by the target company, the amount of network data available, and the service load.

What can the research results include?

Usage tutorial

1. Register for a Falcon account, and first check out the free trial option or the pay-per-use pricing.
2. In the settings, accurately describe your company, products, target customers, and core value proposition.
3. Enter the standard name of the target company; if necessary, include the region or industry to avoid name conflicts.
4. Start the research and wait for the system to search the public internet and gather account information.
5. Read the results by modules such as leadership, competition, finance, news, and sales perspectives.
6. Open the public page corresponding to the key fact, and verify the date, entity, figures, and context.
7. Convert the verified facts into meeting topics, account plans, or sales assumptions.
8. Record the date of the study, and recheck information that is prone to change before important communications.

How to set up a value proposition

1. Explain in one sentence which type of customers the product helps and what specific problems it solves for them.
2. List the most important business trigger signals, such as expansion, hiring, changes in compliance requirements, or new products.
3. Indicate the types of customers who are not suitable, and reduce irrelevant information.
4. Add common characteristics of existing customers, but do not upload any unauthorized sensitive data.
5. Test with several target accounts to check whether the outputs are indeed related to the key sales areas.
6. Regularly update the value proposition to avoid sticking to old settings in the face of changes in the product or market.

Which users are it suitable for

• Sales Development Representative: Quickly build a background before entering a new industry or acquiring new accounts.
• Account manager: Understand the client’s metrics, priorities, and recent developments.
• Customer Success Team: Identifies changes in customers prior to contract renewal or business reviews.
• RevOps: Rapid web research in the absence of complex intelligence pipelines.
• Sales Manager: Provides a unified framework for preparing reviews of key accounts.
• Founder of a startup team: Conduct research on a small number of high-value potential customers on an as-needed basis.

Typical scenarios

• Before the first outreach, understand the target company’s business, competitors, and recent developments.
• Prepare questions related to established facts before the client meeting.
• Filter out the accounts within a group of companies that better align with the value proposition.
• Before renewing the contract, assess changes in the customer’s management team, strategy, and market environment.
• Add public news and financial background to the account plan.
• Conduct temporary company research without deploying complex CRM data integration.

Price packages

Falcon charges based on the number of studies conducted, and it offers a free trial that does not require a bank card. The number of free studies available, their duration, and whether all features are included are not clearly specified on the current public page.

The public page does not indicate whether the balance has expired, whether failed tasks are charged for, what the taxes and fees are, or what the minimum deposit amount is. It is necessary to check these conditions on the account settlement page before making a payment.

Estimate based on per-use cost

The table above is based on publicly available unit prices only and does not indicate that the platform offers corresponding prepaid packages. The team should also take into account the costs associated with manual verification, account management, and subsequent data entry into the system.

Enterprise solutions

• Organizations with 50 or more sales staff.
• The scope of enterprise-level service guarantees and support can be negotiated.
• The public page lists local deployment, but the specific architecture, cloud environment, and maintenance responsibilities need to be confirmed.
• Business integration and bulk discount usage can be discussed.
• There are no published prices for seats, implementations, storage, interfaces, or model usage.

Advantages

• The research and design focused on sales accounts yield a structure that is more suitable for pre-event preparation compared to generic searches.
• Filter information based on the user’s value proposition to reduce irrelevant industry news.
• Pay-per-use enables users who use the service infrequently to control their fixed subscription costs.
• Without relying on predefined corporate databases, it is possible to explore long-tail and small enterprises.
• The enterprise solution offers options for local deployment and integration, making it suitable for further evaluation.

Capacity boundaries

• Information that is not disclosed on public networks cannot be reliably supplemented by Falcon.
• Companies with the same name, old web pages, and aggregated content can lead to errors in identifying the correct entity.
• Financial data must be distinguished based on company disclosures, media reports, estimates, and various statistical methodologies.
• The news should check both the date of publication of the article and the date on which the event occurred.
• The sales insights generated by AI are work hypotheses, not the customers’ intent to make a purchase.
• The product is not a traditional contact database; it cannot be assumed to contain verified email addresses or phone numbers.
• The page does not guarantee that the process will be completed within 20 seconds each time, nor does it provide any figures regarding accuracy.

Privacy and security considerations

The current public landing page does not provide an verifiable privacy policy, terms of service, information on the duration for which data is stored, or detailed security specifications. Although the FAQ addresses security-related questions, the publicly available content does not contain complete answers to them.

• For the first test, only the public company name and non-sensitive value propositions should be entered.
• Do not upload customer lists, unlisted securities, contracts, private contact information, or trade secrets.
• When making purchases, companies should request a data processing agreement, information on the sub-processors involved, the location where the data is stored, and the procedures for deleting it.
• For local deployment, it is necessary to verify whether the data still relies on external models or search services.
• Clarification is required regarding transmission and storage encryption, employee access, logging, backups, and incident response.
• Verify whether the user input, research results, and feedback are used to train or improve the model.
• Until privacy and contractual terms are clarified, it is not appropriate to handle regulated or highly sensitive data.

Copyright and Compliance

The fact that Falcon aggregates information from public web pages does not mean that users automatically have the right to copy and republish that content. The sales team should keep track of the source of the information and use it only within the scope required for business purposes.

• Do not copy large sections of news articles, reports, or content from copyrighted databases.
• When using personal and company information, it is necessary to comply with the applicable privacy, marketing, and anti-harassment rules.
• Financial, legal, and regulatory information should be based on authoritative disclosures and verifications.
• The evaluations generated by AI should not be presented as the confirmed views of the target company.
• Before carrying out cross-regional outreach, it is necessary to check the requirements for email and telephone marketing.

Platform, API, and open-source status

Pre-launch checklist

1. Use 5 to 10 familiar accounts to test fact coverage, error rate, and research speed.
2. Test large enterprises, small companies, and entities with the same name separately to assess their matching capabilities.
3. Confirm the number of free attempts, the amount to top up, the validity period of the balance, and the pricing rules for failed tasks.
4. Privacy verification, retention, model training, sub-processors, and security documents.
5. Determine the time for manual review and updating of research results before they are entered into CRM.
6. It is required that sales arguments and verifiable facts be stored in separate columns.
7. Enterprise clients verify local deployment boundaries, external calls, SLAs, and deletion procedures.
8. Calculate the monthly amount of research required, and then compare the per-use price with the enterprise’s bulk pricing.

Frequently Asked Questions

What does Falcon Research do mainly?

It helps B2B sales teams to study target companies by compiling information on their leaders, competitors, financial situation, news, and relevant sales insights, thus assisting them in preparing for client discussions.

Does Falcon use traditional corporate databases?

The product team states that it relies primarily on in-depth research on public websites, rather than on predefined databases; as a result, the coverage varies depending on the amount of public information available for each company.

How much does a study cost?

The current public price for the pay-per-use option is $0.50 per use. For large-scale use by businesses, bulk discounts and customized solutions can be discussed.

Is there a free version?

The page allows users to start using it for free without the need for a bank card, but it does not disclose the specific number of research sessions available, the validity period, or the range of functions. After registration, one should first check the account limit.

Are the research results reliable?

It cannot be considered accurate without reservation, especially regarding companies with the same name, financial figures, management details, and news dates. Important information must be verified by referring to the original public pages.

Can small companies be studied?

The product team says it is possible to explore small and local businesses, but the results will be limited when there is little public information available. The platform cannot generate reliable facts that do not exist.

Does Falcon offer API or CRM integration?

The enterprise solution mentions integration, but it does not provide a specific list of CRMs, API documentation, or SDKs. It is necessary to consult sales to find out what options are currently available.

Is Falcon an open-source product?

Currently, no official open-source repository, source code license, or downloadable models have been identified. It primarily functions as a web hosting service.

Summary

Falcon Research enables rapid preparation of sales account backgrounds at a low cost per transaction, and it allows using value propositions to transform information available on the public web into more targeted conversation materials.

Its actual value depends on the quality of the public data available about the target company and on the processes used for team review; before it is put into wider use, aspects such as privacy, security, refund policies, integration capabilities, and documentation for enterprise deployment need to be addressed.