Formula Dog Review: AI formula generator that translates plain English into spreadsheet functions

Formula Dog is a general-purpose artificial intelligence utility that translates plain English text into Microsoft Excel formulas, Google Sheets functions, VBA code, regular expressions, and SQL queries. Research indicates the platform is operated by a Chandigarh, India-based startup and features a mascot named “Biscuit” that “fetches” formulas. While classified in the BestCRE database under CRE Market Analytics & Data as a Tier 2 CRE-Adjacent tool, it does not contain proprietary commercial real estate data or market analytics. Instead, it serves as a pure productivity layer for analysts who spend heavy hours inside spreadsheets. The core value proposition is saving time that would otherwise be spent searching forums for complex syntax, reading documentation, or debugging broken nested lookup functions.

For a commercial real estate principal or financial analyst evaluating the software in August 2026, the utility is entirely dependent on the user’s existing tech stack and data inputs. Because it lacks native underwriting templates, rent roll parsing algorithms, or property data, its application in commercial real estate is strictly functional rather than strategic. Analysts building complex cash flow models, normalizing messy rent roll exports, or aggregating operating statements can use the tool to generate the necessary lookup functions, regular expressions, or conditional formatting rules. However, buyers must weigh the utility of a standalone formula generator against the increasing native artificial intelligence capabilities being deployed directly within Microsoft Excel and Google Workspace. Our analysis suggests it is best viewed as a cheap, tactical time-saver for junior analysts rather than an enterprise-grade platform.

What Formula Dog does and how it works

The mechanics of Formula Dog are straightforward. A user inputs a text description of their desired spreadsheet outcome into the web interface or browser extension. For example, an analyst might type, “Sum the values in column C if the property type in column A is multifamily and the square footage in column B is greater than 50,000.” The underlying artificial intelligence model processes this natural language request and returns the exact syntax required, such as a SUMIFS function, formatted for either Microsoft Excel or Google Sheets. The tool also provides a brief explanation of how the generated formula works, which aids in troubleshooting and learning.

Beyond basic spreadsheet formulas, the platform supports the generation of Visual Basic for Applications (VBA) macros, SQL queries, and regular expressions (Regex). If an asset manager needs to extract tenant email addresses from a messy, unformatted text string in a rent roll, they can ask the tool for a Regex pattern. The software will output the specific string of characters needed to isolate the email addresses, which can then be applied using the REGEXEXTRACT function in Google Sheets. For repetitive formatting tasks, users can request VBA code to automate the hiding of specific sheets, the formatting of headers, or the consolidation of multiple workbooks.

The product is accessed primarily through its web application, where users can paste their prompts and copy the resulting code. Additionally, research shows the company offers a Google Sheets add-on, allowing users to generate formulas directly within their workbooks via a sidebar interface. The system maintains a history of all generated formulas, enabling users to retrieve previously created syntax without rewriting the prompt. However, our analysis notes that the tool requires the user to accurately describe their data structure; it cannot independently “see” the spreadsheet to infer column headers or data types unless explicitly told in the prompt.

9AI Framework: the score, dimension by dimension

CRE Relevance — 2/10

As a general-purpose spreadsheet utility, Formula Dog contains zero proprietary commercial real estate data, market analytics, or industry-specific underwriting templates. The platform is entirely agnostic to the data it processes, meaning it does not know the difference between a multifamily rent roll, a retail operating statement, or a generic list of office supplies. While commercial real estate analysts spend a significant portion of their day in Excel, the tool itself provides no specialized real estate functionality. It earns a low score here strictly because it requires the user to supply all industry context and data. In practice: Analysts will use this to fix broken cash flow formulas, but the software will not teach them how to underwrite a property.

Data Quality and Sources — 3/10

Because Formula Dog is a code and formula generation tool rather than a data provider, evaluating its data quality requires looking at the quality of its outputs rather than a proprietary database. The platform relies entirely on the user’s input data and the underlying language model’s training on public documentation for Excel, Google Sheets, SQL, and VBA. It does not verify the accuracy of the user’s underlying rent rolls or financial statements. Our analysis indicates that while the syntax it provides is generally standard, it lacks any mechanism to audit the financial integrity of the numbers being calculated. In practice: The tool assumes your underlying spreadsheet data is clean and accurate, offering no safeguards against bad inputs.

Ease of Adoption — 9/10

The platform is exceptionally simple to start using, requiring almost no technical onboarding or training. Users can access the web interface immediately, and research indicates the first five requests per day are free with no account sign-up required. The interface is highly intuitive: a single text box for the prompt and a copy button for the output. For those wanting deeper access, the Google Sheets add-on installs quickly from the Google Workspace Marketplace. There are no complex configurations, API keys to manage, or lengthy implementation cycles typical of enterprise software. In practice: A junior analyst can discover the website and successfully generate a working formula within sixty seconds without consulting an IT department.

Output Accuracy — 7/10

The artificial intelligence accurately translates clear, specific English prompts into functional spreadsheet formulas the majority of the time. For standard functions like VLOOKUP, INDEX/MATCH, and nested IF statements, the syntax is highly reliable. However, our analysis shows that accuracy degrades when generating complex VBA macros or SQL queries, where the model may hallucinate variables or misunderstand the specific structure of the user’s database. The tool mitigates this slightly by providing explanations of the generated code, allowing the user to spot logical errors. Still, human verification is mandatory before deploying its outputs into live financial models. In practice: Users must test every generated formula in an isolated cell before applying it to a multi-million dollar cash flow model.

Integration and Workflow Fit — 8/10

Formula Dog integrates directly into the analyst workflow via its Google Sheets add-on, which operates as a sidebar within the spreadsheet environment. Research also indicates the existence of an MS Excel add-on, though many users may simply rely on the web application to copy and paste code. It supports multiple syntaxes, including Airtable, Notion, SQL, and VBA, making it adaptable to various data environments. However, it does not integrate with core commercial real estate platforms like Yardi, Argus, or VTS. It is strictly a localized productivity tool for spreadsheet and database querying. In practice: The software fits perfectly into the daily routine of a financial analyst living in Microsoft Excel or Google Workspace.

Pricing Transparency — 7/10

The vendor operates on a freemium model that is highly visible to the user. Research confirms the platform allows five free formula generations per day without requiring an account or credit card. For heavier usage, paid plans are available, and historical data shows the company has offered lifetime access deals through third-party marketplaces like AppSumo. While specific monthly subscription tiers are not prominently detailed in all our research, the existence of a free tier and clear transaction limits, such as 1,000 requests per month for paid users, provides buyers with enough information to evaluate the cost-benefit ratio. In practice: Analysts can test the tool’s capabilities for free before deciding if their volume of complex formula needs justifies a paid subscription.

Support and Reliability — 5/10

As an unproven startup operated by a small team in India, the platform lacks the enterprise-grade support infrastructure expected by institutional commercial real estate firms. Research indicates customer support is handled via online ticketing, with priority support reserved for paid tiers. There are no dedicated customer success managers, phone support lines, or guaranteed service level agreements published for standard users. While the application itself is lightweight and unlikely to experience catastrophic downtime that cripples a business, users encountering bugs with the Google Sheets add-on will likely have to rely on self-serve troubleshooting or wait for email responses. In practice: If the add-on breaks during a tight deal deadline, analysts will have to write their formulas manually rather than expecting immediate technical assistance.

Innovation and Roadmap — 4/10

The product relies heavily on underlying foundational language models to translate text to code. Our analysis suggests the innovation roadmap is limited by the capabilities of these third-party models rather than proprietary engineering. While the addition of Regex and SQL generation shows an expansion of utility, the core functionality remains a basic wrapper around natural language processing. Furthermore, as Microsoft integrates Copilot directly into Excel and Google embeds Gemini into Sheets, standalone formula generators face an existential threat. There is no published evidence of the company developing commercial real estate-specific features or advanced data visualization tools. In practice: Buyers should purchase the tool for what it does today, as future updates will likely be incremental improvements to the prompt interface.

Market Reputation — 5/10

Formula Dog has built a modest but positive reputation among general business users, product creators, and marketers, holding a 4.8-star rating on platforms like AppSumo based on early lifetime deal reviews. However, it has virtually no established reputation specifically within the commercial real estate sector. It is an unproven startup in the context of institutional finance, lacking endorsements from major brokerages or asset management firms. While users praise its ability to save time on mundane spreadsheet tasks, it is viewed as a convenient utility rather than a trusted enterprise vendor. In practice: The software is a grassroots tool adopted by individual analysts rather than a platform mandated by a chief technology officer.

Who should use Formula Dog

Formula Dog is best suited for individuals who spend significant time manipulating raw data in spreadsheets but lack formal training in advanced computer science or database management. It serves as a digital assistant for those who know what they want to achieve logically but struggle with the exact syntax required by Microsoft Excel or Google Sheets.

• Junior financial analysts tasked with cleaning up messy rent rolls and operating statements using complex text-extraction formulas.
• Asset managers who need to write occasional SQL queries to pull specific property performance data from internal databases but do not know SQL syntax.
• Boutique brokerage teams that rely heavily on Google Sheets for pipeline tracking and want to automate conditional formatting without hiring a developer.
• Operations staff who need to generate VBA macros to automate repetitive formatting tasks across multiple monthly reporting workbooks.

Who should look elsewhere

This tool is not appropriate for organizations seeking automated commercial real estate underwriting, proprietary market data, or enterprise-grade integrations. It is a blank-slate utility that requires the user to bring their own data and industry knowledge.

• Institutional acquisition teams looking for software that can automatically parse a PDF rent roll and populate an Argus model.
• Chief Technology Officers seeking an enterprise-wide data management platform with strict security compliance and dedicated account management.
• Analysts who only perform basic arithmetic in Excel and rarely use functions beyond simple sums and averages.
• Firms that have already deployed Microsoft Copilot for Excel or Google Workspace Gemini, which offer similar native capabilities.

Pricing and ROI

Pricing for Formula Dog is published as a freemium model, making it highly accessible for individual users. Research indicates that the platform allows any user to generate their first five formulas per day entirely for free, with no account registration or credit card required. For users requiring higher volume, the company offers paid tiers that include features like the Google Sheets and Microsoft Excel add-ons, priority online ticket support, and up to 1,000 requests per month. While the exact current monthly subscription fee is not prominently published on the main landing page, historical data shows the company has previously offered lifetime access deals through software marketplaces for a flat fee.

To calculate the return on investment, an analyst must measure the cost of the software against the time saved on syntax research. If a junior analyst earning $85,000 annually (approximately $40 per hour) spends just 15 minutes a week searching forums to debug a complex nested VLOOKUP or write a Regex pattern, that equates to $10 of lost productivity per week, or $520 annually. If a paid subscription costs a fraction of that amount, the tool pays for itself almost immediately by keeping the analyst focused on financial modeling rather than syntax troubleshooting. However, for users who only need occasional help, the free tier provides infinite ROI.

Integration and CRE tech stack fit

In terms of commercial real estate tech stack fit, Formula Dog occupies a highly specific, localized niche. It does not integrate with core property management systems like Yardi or RealPage, nor does it connect to valuation software like Argus Enterprise. Instead, it integrates directly into the presentation and calculation layers of the tech stack: Microsoft Excel and Google Sheets. Research confirms the existence of a Google Workspace Marketplace add-on, allowing users to query the artificial intelligence from a sidebar without leaving their workbook.

For a commercial real estate firm, this means the tool operates entirely downstream from primary data sources. An analyst must first export a rent roll from VTS or a trailing twelve-month operating statement from MRI Software into a spreadsheet before Formula Dog becomes useful. Because it only generates the code to manipulate data, it does not require API access to secure internal databases, reducing security compliance hurdles. Our analysis concludes that while it lacks deep vertical integration into commercial real estate platforms, its natural fit into the ubiquitous spreadsheet environment makes it universally applicable to any firm’s existing workflow.

Competitive landscape

The competitive landscape for Formula Dog is divided into direct standalone formula generators and massive native artificial intelligence integrations. Direct competitors include tools like Formularizer and ExcelFormulaBot (now known as Formula Bot), which offer nearly identical functionality: translating plain English into spreadsheet syntax. Formula Bot, in particular, has expanded aggressively into data analysis and visualization, making it a more comprehensive, albeit potentially more expensive, alternative for analysts who want the AI to not just write the formula, but also analyze the resulting dataset.

However, the most significant competitors are the native solutions provided by the spreadsheet developers themselves. Microsoft Copilot, integrated directly into Excel, allows users to generate formula columns, highlight data, and format sheets using natural language. Similarly, Google’s Gemini for Workspace offers native prompt-based formula generation within Google Sheets. For commercial real estate firms already paying for enterprise licenses of Microsoft 365 or Google Workspace, these native tools may render third-party add-ons like Formula Dog redundant.

Within the BestCRE database, general productivity tools like Jasper AI (scored 89) or Beautiful.ai (scored 89) represent a different category of AI assistance, focusing on text and presentation rather than strict quantitative syntax. While Formula Dog serves its specific niche well, buyers must evaluate whether a standalone tool is necessary when tech giants are rapidly embedding the exact same text-to-formula capabilities directly into the software where the analyst is already working.

The bottom line

Formula Dog is a highly effective, low-risk tactical utility for commercial real estate analysts who frequently battle complex spreadsheet syntax. It is not a comprehensive proptech platform, and it will not teach a user how to underwrite a real estate transaction. However, at its core, it successfully eliminates the friction of writing VBA macros, nested lookup functions, and regular expressions. For firms that have not yet upgraded to enterprise licenses featuring Microsoft Copilot or Google Gemini, this tool provides an immediate, cheap productivity boost. Principals should not mandate this at the enterprise level; instead, they should simply allow their junior analysts to utilize the free tier to speed up their daily data formatting tasks. It is a disposable but highly convenient tool that solves a very specific, frustrating problem in the financial modeling workflow.

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