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The cost of building a job search app can range from approximately $25,000 to $300,000 or more, depending on the app’s features, technology stack, platforms, design complexity, development location, integrations, security requirements, and level of artificial intelligence.
A basic job search application with user registration, job listings, search, filters, profiles, and applications can cost considerably less than an advanced employment marketplace with AI-powered job recommendations, resume parsing, recruiter dashboards, subscription plans, automated matching, interview scheduling, chat, analytics, and third-party integrations.
For businesses planning to launch a job search platform in 2026, understanding the development cost before writing the first line of code is essential. A well-planned product can control development expenses, reduce unnecessary features, shorten time to market, and create a stronger foundation for future growth.
This guide explains the major factors that influence the cost of building a job search app, including features, development stages, technology choices, team structure, maintenance, integrations, artificial intelligence, security, scalability, and monetization.
A realistic estimate can be divided into several categories:
| Job Search App Type | Estimated Development Cost |
| Basic MVP job search app | $25,000 to $50,000 |
| Standard job search app | $50,000 to $100,000 |
| Advanced job marketplace | $100,000 to $180,000 |
| AI-powered job search platform | $150,000 to $300,000+ |
| Enterprise employment platform | $250,000 to $500,000+ |
These figures are broad planning estimates rather than fixed quotations. The final price depends on the exact product requirements.
For example, a simple app designed to help candidates search and apply for jobs may require only a few major modules. A platform that serves candidates, recruiters, employers, staffing agencies, and administrators simultaneously requires substantially more backend architecture and business logic.
There is no single price for developing a job search application.
The total cost is usually influenced by the following factors:
A product owner who understands these factors can make better decisions about which features belong in the first release and which should be postponed.
One of the simplest ways to estimate the cost of a job search app is to classify it according to complexity.
A basic application generally focuses on helping candidates discover jobs.
Typical functionality includes:
A basic MVP may cost approximately $25,000 to $50,000.
The purpose of this type of product is usually validation rather than building a complete employment ecosystem.
A startup might use an MVP to determine:
A medium-complexity application can include both candidate and employer functionality.
Possible features include:
Development costs can typically fall around $50,000 to $100,000.
This level is appropriate for companies that want to launch a commercially viable product instead of a simple prototype.
An advanced job search platform may behave more like a complete employment marketplace.
Features may include:
The development cost can reach $100,000 to $180,000 or more.
Artificial intelligence can significantly increase both development and operating costs.
An AI-enabled job search platform could offer:
Such applications may require $150,000 to $300,000+ depending on the AI architecture and scale.
The important point is that AI is not simply a feature that can be added to the interface. It often requires additional backend services, data processing, model integration, evaluation, monitoring, prompt engineering, privacy controls, and ongoing API expenses.
App development is not limited to programming.
A professional project normally passes through multiple stages.
Before development begins, the product idea should be validated.
Market research can include:
Estimated cost: $2,000 to $10,000+
Skipping research can create expensive problems later.
For example, a company might spend heavily developing a feature that candidates rarely use while overlooking a feature recruiters consider essential.
Product discovery transforms an idea into a defined product.
This stage usually includes:
Estimated cost: $3,000 to $15,000+
The design process can include:
Estimated cost: $5,000 to $25,000+
A job search app needs particularly careful UX design because users frequently perform repetitive actions such as searching, comparing, saving, and applying for jobs.
Frontend development converts designs into functional interfaces.
Depending on the project, developers may build:
Estimated cost: $10,000 to $50,000+
The backend controls much of the application’s business logic.
It may manage:
Estimated cost: $15,000 to $80,000+
Job platforms often depend on external services.
Examples include:
Estimated cost: $5,000 to $30,000+
Testing should cover:
Estimated cost: $5,000 to $30,000+
Deployment involves:
Estimated cost: $1,000 to $10,000+
After launch, the application needs continuous maintenance.
Maintenance can include:
A common planning approach is to allocate approximately 15% to 25% of the original development cost annually for maintenance and improvements, although actual expenses can vary significantly.
Features are one of the biggest contributors to the total cost.
Users should be able to create accounts securely.
Common options include:
Estimated development cost: $2,000 to $6,000
The cost increases if the platform requires advanced identity verification or complex account types.
A candidate profile may contain:
Estimated cost: $3,000 to $8,000
A more advanced profile system may allow candidates to maintain multiple resumes for different job categories.
Candidates may upload resumes in formats such as:
The system needs secure file storage and appropriate access controls.
Estimated cost: $2,000 to $5,000
Resume parsing is more advanced.
A parsing system can extract:
This information can then be used to improve job recommendations.
Estimated development cost: $5,000 to $20,000+, excluding third-party API charges where applicable.
The job listing system is the central component of most job search applications.
A job record may include:
Estimated cost: $5,000 to $15,000
Search functionality can start with simple keyword matching.
For example, a candidate could search:
“Graphic designer”
The platform could return relevant job listings.
Advanced search can include:
Estimated cost: $5,000 to $15,000
Filters can significantly improve the candidate experience.
Possible filters include:
Estimated cost: $3,000 to $10,000
Location functionality can use mapping and geolocation services.
Candidates might search:
Estimated cost: $3,000 to $12,000, depending on mapping requirements.
A recommendation engine can suggest jobs based on:
Basic recommendation logic may cost $5,000 to $15,000.
AI-powered recommendations can cost significantly more.
One-click application functionality can improve conversion.
However, the system needs to determine how applications are submitted.
Possible models include:
The technical complexity depends heavily on the chosen model.
Employers may need:
Estimated cost: $3,000 to $8,000
A dashboard allows employers to manage recruitment activity.
Features can include:
Estimated cost: $7,000 to $20,000
Employers should be able to create job advertisements through structured forms.
The system may validate:
Estimated cost: $3,000 to $8,000
An applicant tracking system can help recruiters manage candidates.
A basic workflow might include:
Applied → Screening → Shortlisted → Interview → Selected → Rejected
Estimated cost: $8,000 to $25,000+
Advanced platforms may allow recruiters to search candidate profiles.
Filters could include:
This feature can become complex because candidate privacy and permission management must be handled carefully.
An in-app messaging system can connect candidates and recruiters.
Features may include:
Estimated cost: $5,000 to $20,000+
Interview scheduling can integrate with calendar services.
Features may include:
Estimated cost: $5,000 to $20,000+
A video interview feature may use a third-party video infrastructure provider rather than building the entire video system from scratch.
Possible functionality:
Estimated development cost: $10,000 to $30,000+, excluding usage-based infrastructure expenses.
Notifications can inform users about:
Estimated cost: $2,000 to $6,000
Email automation can send:
Estimated cost: $2,000 to $7,000
If the platform monetizes through subscriptions, it may support:
Estimated cost: $5,000 to $15,000+
Payment systems may support:
Estimated cost: $3,000 to $10,000+
Payment gateway fees are separate from development costs.
A powerful administration system is essential for a serious job platform.
Administrators may need to manage:
Estimated cost: $8,000 to $30,000+
Artificial intelligence is becoming increasingly relevant to employment technology.
However, adding AI should solve a genuine user problem rather than simply making the application appear technologically advanced.
AI matching can compare candidate profiles with job descriptions.
A matching engine might evaluate:
A simple rules-based system may be relatively inexpensive.
A more advanced semantic matching system may require:
Development cost can range from $10,000 to $50,000+ depending on complexity.
AI can analyze a resume and provide:
Estimated cost: $8,000 to $30,000+, excluding ongoing AI service charges.
Natural language search allows users to ask questions such as:
“Find remote marketing jobs suitable for someone with three years of experience.”
The application converts natural language into structured search parameters.
This can make job discovery more intuitive.
An AI career assistant can answer questions about:
Development cost can range from $10,000 to $40,000+.
The cost depends on whether the system uses a third-party AI model, custom retrieval systems, proprietary data, or a combination of technologies.
The number of platforms also affects the budget.
Android development may cost approximately:
$15,000 to $60,000+
iOS development may cost approximately:
$15,000 to $60,000+
Technologies such as Flutter or React Native can reduce duplicated development work.
A cross-platform solution may cost:
$25,000 to $80,000+
The actual economics depend on the complexity of native functionality and integrations.
A responsive web platform can cost:
$20,000 to $100,000+
A full employment marketplace may require substantially more.
Building Android, iOS, and web experiences together can push the total cost toward:
$75,000 to $250,000+
Enterprise-level products can exceed these figures.
Developer rates vary considerably by geography.
Typical hourly ranges used for preliminary budgeting may look like this:
| Region | Approximate Hourly Development Rate |
| India | $20 to $50 |
| Eastern Europe | $30 to $70 |
| Latin America | $30 to $70 |
| Western Europe | $60 to $120 |
| Australia | $70 to $140 |
| United States and Canada | $80 to $180+ |
These are broad ranges. Individual agencies, freelancers, and development teams may charge significantly more or less.
The lowest hourly rate does not necessarily produce the lowest total project cost.
An inexperienced team may take twice as long to deliver the same functionality, creating a higher overall cost.
Choosing the development model is another major decision.
Freelancers can be appropriate for:
Potential advantage:
Lower initial hourly cost.
Potential limitation:
You may need to coordinate multiple specialists yourself.
An agency can provide:
This can simplify project coordination.
The cost is generally higher than hiring one freelancer, but the project may benefit from a more structured development process.
A company can build an internal team consisting of:
This offers greater long-term control but introduces salaries, recruitment, equipment, benefits, office costs, management overhead, and employee retention expenses.
A professional project might involve:
| Role | Typical Responsibility |
| Product Manager | Product strategy and requirements |
| Business Analyst | Requirements and workflows |
| UI/UX Designer | Interface and user experience |
| Frontend Developer | Web interface |
| Mobile Developer | Mobile applications |
| Backend Developer | APIs and business logic |
| QA Engineer | Testing |
| DevOps Engineer | Cloud and deployment |
| AI Engineer | AI features |
| Project Manager | Delivery coordination |
A small MVP does not necessarily require every role full-time.
For example, one developer may handle multiple responsibilities during the early stages.
Technology choices can affect both development speed and long-term maintenance.
Common technologies include:
Popular choices include:
Potential technologies include:
Possible choices include:
Common cloud environments include:
The correct stack depends on the product’s requirements rather than popularity alone.
A job search application may need to store significant amounts of structured information.
Core entities can include:
Database design becomes especially important when the platform expects millions of job records or users.
Poor database architecture can create performance problems later.
Search is one of the most important technical components of a job marketplace.
Basic SQL search may be enough for a small MVP.
Large platforms may require specialized search technology.
Advanced search can support:
Semantic search can help users find relevant jobs even when the exact keywords do not match.
For example, someone searching for “frontend engineer” might also receive relevant positions described as “React developer.”
A job search platform needs job listings.
There are several ways to obtain them:
Data licensing and API access may create recurring costs.
It is important not to assume that publicly accessible job information can simply be copied and republished. Data usage rights, licensing terms, website terms, copyright, privacy requirements, and API agreements should be reviewed before building an aggregation model.
A job platform handles valuable personal and professional information.
Candidate profiles can contain:
Security should therefore be treated as a core product requirement.
Important controls include:
Security development can add $5,000 to $30,000+ depending on project size.
Enterprise platforms may require formal security audits and specialized compliance work.
Privacy requirements can affect architecture and development cost.
Depending on the markets served, the platform may need to consider:
If the application operates internationally, legal and compliance consultation may be appropriate.
Cloud expenses vary according to usage.
Early-stage applications might operate with relatively modest infrastructure costs.
As traffic grows, expenses may include:
A small MVP may spend a few hundred dollars per month.
A large employment platform can spend thousands or significantly more per month depending on traffic and architecture.
Launching an application is only the beginning.
Maintenance may include:
A practical planning formula is:
Annual maintenance budget = approximately 15% to 25% of initial development cost
For a $100,000 application, that could mean approximately $15,000 to $25,000 per year as a starting planning range.
Actual expenses depend on product complexity and support requirements.
Some costs are easy to overlook.
Publishing mobile applications can involve platform account fees and compliance requirements.
External services may charge based on:
Large-scale transactional and marketing email can become a recurring expense.
Phone verification and alerts can generate usage-based costs.
Location functionality may create API usage fees.
AI APIs may charge according to tokens, requests, model usage, or other consumption metrics.
A growing job marketplace requires support personnel and systems.
Job scams, fraudulent employers, misleading listings, and inappropriate content require moderation processes.
Privacy policies, employment-related terms, contracts, and compliance may require professional legal support.
For many startups, an MVP is the best starting point.
A practical job search MVP might contain:
A reasonable planning budget could be $25,000 to $50,000 depending on geography and implementation complexity.
Reducing cost does not mean reducing quality.
The goal should be to eliminate unnecessary complexity while protecting the core user experience.
Do not attempt to serve everyone immediately.
You could initially target:
A focused audience makes product development easier.
Instead of launching Android, iOS, and web simultaneously, consider starting with one platform.
For many products, cross-platform development can reduce duplicated mobile development.
Instead of building everything internally, use reliable managed services where appropriate.
Examples include:
Not every MVP needs AI.
A strong search and filtering system can often validate the concept before sophisticated machine learning is introduced.
A modular architecture makes future feature development easier.
Use a prioritization model such as:
Must have → Should have → Could have → Later
This prevents unnecessary features from increasing the first release budget.
Consider two hypothetical products.
A simple job search app with:
Estimated cost:
$30,000 to $50,000
A large platform with:
Estimated cost:
$150,000 to $300,000+
The difference is not simply the number of screens.
The backend complexity, integrations, infrastructure, security, testing, and ongoing operating costs also increase.
Development cost should be considered alongside revenue potential.
Companies pay monthly or annually to access recruitment features.
Possible benefits:
Employers pay to publish jobs.
Companies pay to promote listings.
Candidates can pay for:
Recruiters may pay for advanced candidate search and recruitment tools.
Advertising can generate revenue but should not damage the candidate experience.
The platform can potentially monetize through premium recruitment services.
An AI-powered application can cost approximately $150,000 to $300,000+ when it includes multiple AI capabilities and a sophisticated platform.
However, AI development should be divided into separate components.
Approximately $10,000 to $30,000+
Approximately $15,000 to $50,000+
Approximately $10,000 to $40,000+
Approximately $10,000 to $40,000+
Approximately $15,000 to $50,000+
The exact cost depends on the technology architecture and level of customization.
Development time varies according to scope.
Approximately:
3 to 5 months
Approximately:
5 to 8 months
Approximately:
8 to 12+ months
Approximately:
12 to 18+ months
These estimates assume a reasonably organized development process and can vary significantly.
A sample process could look like:
| Stage | Estimated Duration |
| Research | 2 to 4 weeks |
| Product planning | 2 to 4 weeks |
| UX/UI design | 3 to 6 weeks |
| Backend development | 8 to 16 weeks |
| Frontend/mobile development | 8 to 16 weeks |
| Integrations | 3 to 8 weeks |
| Testing | 3 to 6 weeks |
| Deployment | 1 to 3 weeks |
Many stages can overlap.
Consider a medium-complexity job search application.
| Component | Estimated Cost |
| Research | $5,000 |
| Product planning | $6,000 |
| UI/UX | $12,000 |
| Frontend | $20,000 |
| Backend | $30,000 |
| Mobile | $25,000 |
| Integrations | $10,000 |
| Testing | $10,000 |
| DevOps | $5,000 |
| Deployment | $3,000 |
| Estimated total | $126,000 |
This is an example rather than a universal quotation.
Actual pricing should be calculated from a detailed product specification.
A professional quote should clearly identify:
Avoid accepting a quote that provides only a single total price without defining the scope.
Two common engagement models are fixed price and time and material.
A fixed-price contract defines the scope and cost in advance.
Advantages:
Limitations:
You pay for the actual development effort.
Advantages:
Limitations:
For startups developing an evolving product, a flexible approach can often work well.
When evaluating development partners, consider more than price.
Look for:
Ask for a detailed proposal.
Before signing an agreement, ask:
These questions can reveal whether the team understands the product beyond its visual interface.
A large feature list can delay launch.
Start with the core user journey.
Candidates need jobs, but employers create the supply.
A two-sided marketplace must provide value to both sides.
Search quality is central to the product.
A beautiful application with poor search results will struggle.
Spam and fraudulent listings can damage trust.
Job moderation should be part of the product strategy.
AI should improve:
It should not simply exist as a marketing label.
Job seekers often browse listings repeatedly.
Search, filtering, saving, and applying should require minimal effort.
The visible interface is only part of the system.
Job platforms require substantial backend logic.
A database architecture designed for 10,000 users may not perform the same way at 10 million users.
Resume and candidate data require strong protection.
A job marketplace should consider how it will generate revenue before development is complete.
A successful platform may eventually need to handle:
Scaling should therefore be considered from the architecture stage.
Potential techniques include:
Not every startup needs all of these immediately.
The objective is to build an architecture that can evolve without excessive rework.
Analytics can help answer questions such as:
Important metrics include:
App development is only one part of launching the business.
Marketing expenses may include:
A job marketplace has a unique challenge because it needs liquidity.
Candidates want many jobs.
Employers want many qualified candidates.
Therefore, acquisition strategy should address both sides.
Search engine optimization can become a significant acquisition channel.
Potential landing pages include:
However, automatically generating thousands of low-quality pages is not a sustainable SEO strategy.
Each indexable page should provide genuine value.
Useful content can include:
This can help attract candidates before they are ready to apply.
India is a major destination for software development.
Depending on the development team and project scope, an Indian development team might charge approximately $20 to $50+ per hour for many software projects.
A basic job search MVP might therefore cost approximately:
₹20 lakh to ₹40 lakh
A more advanced application may cost:
₹40 lakh to ₹1 crore or more
A sophisticated enterprise platform can exceed this range.
The exact price depends on:
US development rates are generally higher.
An application that costs $50,000 with a lower-cost development team may cost considerably more when developed entirely by a US-based team.
Enterprise products can easily reach several hundred thousand dollars.
This does not automatically mean the higher-cost team will produce a better result.
The important factors are technical competence, communication, product understanding, quality assurance, and project management.
European development rates vary by country.
Western European development teams typically charge more than teams in Eastern Europe.
A medium-complexity project may therefore range from approximately:
$60,000 to $180,000+
Again, project scope matters more than geography alone.
No-code and low-code tools can reduce the initial development cost.
A prototype or simple application may potentially be built for:
$5,000 to $25,000
However, limitations may appear around:
No-code can be excellent for validation, but it should be evaluated carefully before becoming the foundation of a large employment marketplace.
AI development tools can increase developer productivity.
They can assist with:
However, AI-assisted coding does not eliminate the need for experienced developers.
Generated code still requires:
Therefore, AI can potentially reduce development effort, but it should not be treated as a replacement for engineering expertise.
A practical strategy can follow these steps.
Decide exactly who the app serves.
For example:
“Candidates struggle to discover relevant jobs quickly.”
Search → Discover → Save → Apply → Track
Build only what is necessary to validate the idea.
Release to a limited market.
Track user behavior.
Use actual data to decide what to build next.
Introduce AI, subscriptions, employer analytics, and other advanced capabilities after the core marketplace demonstrates demand.
Suppose a startup has a budget of $60,000.
A possible allocation could be:
| Area | Budget |
| Product research | $4,000 |
| UI/UX design | $7,000 |
| Backend | $15,000 |
| Mobile/web frontend | $15,000 |
| Admin panel | $5,000 |
| Testing | $5,000 |
| Deployment | $3,000 |
| Contingency | $6,000 |
| Total | $60,000 |
The specific allocation should change according to the business model.
Suppose the target budget is $200,000.
Potential allocation:
| Area | Budget |
| Discovery | $10,000 |
| UX/UI | $20,000 |
| Backend | $40,000 |
| Mobile | $35,000 |
| Web | $25,000 |
| AI functionality | $30,000 |
| Employer dashboard | $12,000 |
| Admin | $8,000 |
| QA/security | $10,000 |
| DevOps | $5,000 |
| Contingency | $5,000 |
| Total | $200,000 |
This illustrates how quickly costs can increase when multiple user types and AI capabilities are introduced.
The cheapest responsible approach is usually:
A realistic starting budget could be around $25,000 to $50,000 for a carefully scoped MVP.
Trying to build a complete competitor to a major employment marketplace on a very small budget is usually unrealistic.
Potentially, yes.
The business model depends on marketplace liquidity and monetization.
Revenue can come from:
Profitability depends on:
An application with millions of users is not automatically profitable.
The business model needs to work independently of vanity metrics.
Suppose a platform has:
Monthly subscription revenue would be:
1,000 × $100 = $100,000
Annualized:
$1.2 million
This is a simplified example.
Actual revenue depends on pricing, churn, discounts, payment fees, taxes, acquisition costs, and other operating expenses.
A small platform may spend:
$1,000 to $5,000 per month
A medium platform may spend:
$5,000 to $20,000+ per month
A large platform can spend significantly more.
Costs may include:
Before requesting a development proposal, define:
Answering these questions before development can prevent major cost overruns.
A job search app can cost approximately $25,000 to $300,000+, depending on complexity. A basic MVP may cost $25,000 to $50,000, while an advanced AI-powered employment platform can cost $150,000 to $300,000 or more.
A platform comparable to a large job marketplace can require hundreds of thousands of dollars or more. The cost depends on job aggregation, search infrastructure, employer tools, candidate functionality, recommendation systems, monetization, scalability, and integrations.
A basic MVP may cost approximately ₹20 lakh to ₹40 lakh, while a sophisticated application can cost ₹40 lakh to ₹1 crore or more.
A basic MVP can take approximately 3 to 5 months. A medium application may require 5 to 8 months, while an advanced employment platform can take 8 to 12 months or longer.
A highly limited prototype or MVP may be possible around this budget with careful scope control. A polished multi-platform employment marketplace with advanced features is unlikely to fit comfortably within $20,000.
No. AI can improve recommendations, search, resume analysis, and career assistance, but the initial product can succeed without AI if its core search and application experience is strong.
Backend development, advanced search, AI functionality, integrations, multi-platform development, security, and complex employer functionality can become major cost centers.
A small application might initially spend hundreds to a few thousand dollars per month on infrastructure and services. As usage increases, cloud, search, AI, communication, storage, support, and engineering expenses can increase substantially.
Yes. Start with an MVP, prioritize features, use cross-platform technology where appropriate, rely on managed services, avoid unnecessary custom development, and validate demand before investing in advanced features.
Not necessarily. If budget is limited, launching one platform or using cross-platform technology may be more efficient.
A basic recommendation engine may cost several thousand dollars, while advanced semantic matching and AI recommendation infrastructure can cost tens of thousands of dollars.
A practical summary looks like this:
| App Type | Development Cost | Approximate Timeline |
| Basic MVP | $25,000 to $50,000 | 3 to 5 months |
| Standard app | $50,000 to $100,000 | 5 to 8 months |
| Advanced marketplace | $100,000 to $180,000+ | 8 to 12 months |
| AI-powered platform | $150,000 to $300,000+ | 9 to 15+ months |
| Enterprise platform | $250,000 to $500,000+ | 12 to 18+ months |
These ranges are useful for planning but should not replace a project-specific estimate.
The cost of building a job search app depends less on the basic idea and more on the scope behind that idea.
A simple application that lets candidates search and apply for jobs can potentially be developed for $25,000 to $50,000.
A more complete platform with employer accounts, recruiter tools, subscriptions, messaging, advanced search, analytics, and integrations may require $50,000 to $180,000 or more.
An AI-powered employment ecosystem can reach $150,000 to $300,000+, particularly when it includes semantic search, resume intelligence, personalized recommendations, AI career assistance, and sophisticated employer functionality.
The smartest approach is not necessarily to build the largest application possible.
Instead, define the problem, identify the core users, build the smallest useful product, validate demand, measure behavior, and expand the platform based on evidence.
A successful job search app needs more than an attractive interface. It needs reliable job data, strong search, a smooth application workflow, useful employer tools, secure candidate information, effective moderation, scalable infrastructure, and a sustainable monetization model.
If these elements are planned correctly from the beginning, the development budget can be used much more efficiently.
The most important question is therefore not simply:
“How much does it cost to build a job search app?”
The better question is:
“What is the smallest job search product I can build that delivers meaningful value to candidates and employers, proves the business model, and gives me a foundation for future growth?”
That question leads to a more realistic budget, a faster launch, lower development risk, and a stronger long-term product strategy.
Before development begins, make sure you have defined:
Once these elements are defined, obtaining an accurate development estimate becomes much easier.
The final budget should always be based on a detailed product specification rather than a generic per-app price. A professional discovery phase can convert the initial idea into feature requirements, technical architecture, development milestones, resource requirements, and a much more reliable cost estimate.
For startups, the most practical strategy is usually to launch an MVP, prove product-market fit, build a strong candidate and employer base, and then reinvest revenue or funding into advanced capabilities such as AI matching, intelligent search, recruiter automation, and personalized career recommendations.
That approach keeps the initial job search app development cost under control while preserving the ability to turn the application into a large-scale employment technology platform over time.
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