Custom web application development that puts AI to work
Paloren is a web app development agency building custom, AI-powered applications, integrations and portals for businesses worldwide.
Founders, operations leaders and technology teams planning a custom web application with AI
Paloren is a web app development agency that designs and builds custom applications with AI at their centre. The team plans, builds, integrates and supports web apps for businesses worldwide, with custom app projects starting from USD 40k.
A web app development agency turns a business process into software that runs in a browser, available to your team or customers on any device.
Paloren handles the full path: understanding the workflow, designing the application, writing the code, connecting it to your existing systems, launching it and then training the people who will use it.
The result is a tool shaped around how your company operates rather than a generic platform you have to bend your operations around. Paloren builds custom applications, portals, dashboards and AI-powered tools for businesses worldwide, with work typically starting from USD 40k for a custom app.
Engagement usually begins with a conversation about the outcome you want, moves into a scoped build, and continues with support once the app is live.
Because Paloren specialises in AI strategy, implementation, automation and training, every application is considered as part of a wider system: data, agents, integrations and governance, not a one-off piece of code.
That matters when the app must share information with a CRM, draw on company knowledge or hand tasks to automation.
The work, made concrete
Discovery, design, build, integration, launch and training in one engagement
Applications shaped around your workflow instead of adapted generic software
AI capability considered as part of a wider system from day one
Paloren was not created as a code shop that later added AI. Web apps are treated as part of a growth and operations system, connected to reporting, automation and customer-facing processes, rather than isolated builds handed over and forgotten.
It also means every recommendation is tested against measurable business results rather than novelty.
The work, made concrete
Co-founded by Aaron and Alex Agius
Apps treated as part of a wider growth and operations system
| Application type | What it does | AI layer |
|---|---|---|
| Internal dashboard or tool | Single screen for reporting and daily operations | AI reporting and summarisation |
| Customer or partner portal | Requests, tracking and self-service outside your company | AI agents for triage and drafting |
| Company brain application | Secure interface over organisational knowledge | Grounded answers from internal documents |
| CRM-connected application | Tailored screens and features on top of your CRM | CRM implementation with AI |
| Voice-enabled service app | Booking and enquiry handling through the browser | AI voice agents and receptionists |
| Automation console | Monitors and controls workflow automation | Workflow automation and integrations |
Application forms mapped to Paloren services and the AI layer each can carry.
Source: Paloren published service ranges
| Service | Range | Typical timeline |
|---|---|---|
| Custom web app | From USD 40k | Set during scoping |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| AI agents | USD 40k-90k | 6-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| AI voice agents | USD 25k-60k | 4-8 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
published Paloren ranges; custom app timelines are set during scoping.
Source: Paloren published service ranges
Paloren builds web applications across several categories, each mapped to a service in the portfolio. Customer and partner portals let people outside your company submit requests, track progress and reach the right information without email chains.
Apps built on the company brain put your organisation's knowledge behind a secure interface, so staff can ask questions and receive answers grounded in internal documents.
Agent consoles let supervised AI agents draft work, handle routine tasks and escalate to humans. CRM-connected applications extend your CRM implementation with tailored screens and AI features for sales and service teams.
Voice-enabled web apps pair interfaces with AI voice agents and receptionists for booking and enquiry handling. Each build is scoped individually, with custom app work starting from USD 40k, and larger knowledge platforms such as the company brain ranging from USD 60k to 150k.
The table below summarises the main application types and the AI layer each can carry.
The work, made concrete
Internal dashboards, customer portals and partner-facing tools
Company brain apps that answer from internal knowledge
CRM-connected and voice-enabled applications with AI built in
Traditional web software stores and displays information; AI-native applications interpret it, act on it and improve with use. Paloren designs apps where AI plays a defined role rather than a decorative one.
An AI agent inside your app can triage incoming requests, draft responses, summarise documents and complete multi-step tasks under human supervision. A company brain layer lets the application answer questions using your policies, documents and data instead of generic internet content.
Automation logic can trigger follow-up tasks, update records and notify the right person the moment conditions are met. Call analysis can turn conversations into structured insight that feeds dashboards.
AI reporting replaces static exports with explanations of what changed and why. Voice agents extend the same system to phone and spoken enquiries. Governance sits above all of it: Paloren builds AI governance into projects so permissions, review points and audit trails are explicit.
This is why the agency pairs every build with training, since a capable application only delivers value when the team trusts it and knows how to direct it.
The work, made concrete
AI agents handle multi-step tasks under human supervision
Company brain layers ground answers in your own data
AI governance sets permissions, review points and audit trails
Every project follows a sequence designed to remove guesswork before code is written. Work can begin with an AI readiness assessment, a short engagement from USD 8k over two to three weeks that maps your data, systems and gaps so the app is built on solid ground.
Where direction is still open, an AI strategy engagement of USD 12k to 25k over three to four weeks sets priorities and selects the right first build. From there the project moves through scoping, design, iterative build sprints and integration with your existing stack, with working software demonstrated as it takes shape.
Launch covers testing, governance checks and deployment, followed by training so your team can run the application confidently. Ongoing support is available from USD 2,500 per month for ten hours, covering fixes, adjustments and incremental improvements.
Broader first projects across Paloren services typically run USD 25k to 100k over two to ten weeks, which gives a realistic envelope for planning. The steps below show the same path in order.
The work, made concrete
Readiness assessment and strategy come before any build
Iterative sprints show working software early
Training and support continue after launch
Paloren scopes custom app work individually, with custom applications starting from USD 40k. Cost follows scope: the number of user roles, the depth of the AI layer, the number of integrations and the standard of governance required.
A focused internal tool with one or two integrations sits at the lower end, while a knowledge platform that serves many teams with agents, voice and reporting sits higher.
Related services give useful reference points. Workflow automation and integrations range from USD 15k to 60k over three to eight weeks. AI agent builds range from USD 40k to 90k over six to ten weeks.
A company brain ranges from USD 60k to 150k over eight to twelve weeks. CRM implementation with AI ranges from USD 20k to 80k over four to ten weeks. Support after launch starts from USD 2,500 per month for ten hours.
For first projects across services, Paloren typically works within USD 25k to 100k over two to ten weeks. The table below lists published ranges so you can position your own project before talking scope.
The work, made concrete
Custom applications start from USD 40k
Scope drivers include roles, integrations and AI depth
Support starts from USD 2,500 per month for ten hours
Integration is central to every Paloren build because an application that cannot reach your data creates another silo.
The team connects web apps to CRMs, data warehouses, communication tools, scheduling systems and internal databases through workflow automation and integration work, a service priced from USD 15k to 60k over three to eight weeks when delivered alongside an app.
Where sales and service processes are involved, CRM implementation with AI ranges from USD 20k to 80k over four to ten weeks and can embed AI features directly into your CRM environment.
Apps drawing on company knowledge use the company brain, which ranges from USD 60k to 150k over eight to twelve weeks, as the retrieval and permission layer beneath the interface.
This pattern keeps knowledge in one governed place while multiple applications consume it. During scoping, Paloren documents each system the app must read from or write to, the data formats involved and the permissions required, so integration effort is visible in the plan rather than discovered mid-build.
The work, made concrete
Connections to CRM, data, scheduling and communication tools
Company brain acts as a governed knowledge layer
Integration scope documented during planning, not discovered later
That mix matters for web app work because applications succeed or fail on understanding how large organisations actually run: how approvals move, how data is entered, where processes break and what makes a tool get adopted or abandoned.
Every project also carries an AI governance thread so controls grow alongside the software.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Paloren combines implementation, workflow design and practical team training.
Build patterns drawn from live AI systems, not theory
A custom web app is worth building when a process is important enough to justify software shaped exactly to it. Useful signals include teams copying data between tools, reporting assembled by hand each week, customer requests handled across email threads, and knowledge trapped in documents nobody can search.
If AI ambitions exist but data quality, permissions or system connections are unclear, an AI readiness assessment from USD 8k over two to three weeks is the sensible starting point.
It maps where information lives, which systems hold the truth and where gaps would undermine an AI-powered application. Readiness also covers people: Paloren provides team AI training so staff understand how to work with agents, review AI output and keep governance rules intact.
Companies worldwide use Paloren for this sequence because assessment, strategy, build, training and support sit under one roof, avoiding the handoffs that occur when one vendor advises and another builds.
If two or more of the signals above describe your operation, a scoping conversation is the natural next move.
The work, made concrete
Signals: manual reporting, copied data, scattered requests
Readiness assessment from USD 8k over two to three weeks
Training ensures teams can run AI-powered apps confidently
A two to three week engagement from USD 8k that maps data, systems and gaps so the app is planned on solid ground.
Three to four weeks, USD 12k-25k where needed, turning goals into a prioritised architecture and a defined first build.
Iterative sprints deliver working software while connections to your CRM, data and workflows are wired in and demonstrated.
Quality checks, an AI governance review and deployment move the application into live use with controls in place.
Team AI training gets staff confident, and support from USD 2,500 per month for ten hours keeps the app improving.
| Application type | What it does | AI layer |
|---|---|---|
| Internal dashboard or tool | Single screen for reporting and daily operations | AI reporting and summarisation |
| Customer or partner portal | Requests, tracking and self-service outside your company | AI agents for triage and drafting |
| Company brain application | Secure interface over organisational knowledge | Grounded answers from internal documents |
| CRM-connected application | Tailored screens and features on top of your CRM | CRM implementation with AI |
| Voice-enabled service app | Booking and enquiry handling through the browser | AI voice agents and receptionists |
| Automation console | Monitors and controls workflow automation | Workflow automation and integrations |
Application forms mapped to Paloren services and the AI layer each can carry.
Paloren published service ranges
| Service | Range | Typical timeline |
|---|---|---|
| Custom web app | From USD 40k | Set during scoping |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| AI agents | USD 40k-90k | 6-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| AI voice agents | USD 25k-60k | 4-8 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
published Paloren ranges; custom app timelines are set during scoping.
Deployed web application with documented architecture
Integrations linking the app to your CRM, data and workflows
Governance controls covering permissions, review points and audit trails
Team AI training sessions and written guides
Support plan with monthly hours from USD 2,500
Roadmap for future releases and new AI capabilities
Custom applications start from USD 40k, with the final figure shaped by user roles, the depth of the AI layer, integration count and governance needs. For context, workflow automation ranges from USD 15k to 60k, AI agents from USD 40k to 90k and company brain builds from USD 60k to 150k.
First projects across Paloren services typically sit between USD 25k and 100k over two to ten weeks.
Timelines follow scope. First projects across Paloren services generally run two to ten weeks. Reference points include workflow automation at three to eight weeks, AI agents at six to ten weeks, company brain builds at eight to twelve weeks and CRM implementation with AI at four to ten weeks.
A custom app timeline is confirmed during scoping once the feature set and integrations are defined.
Paloren serves businesses worldwide, delivering web app strategy, build, integration and support remotely across countries. Engagements are organised at country level, so a company anywhere can start with an AI readiness assessment, move through strategy and scoping, and receive a deployed application with training.
There is no requirement to visit a specific location; scoping conversations, build reviews and training sessions run online.
Yes. CRM implementation with AI is a core Paloren service, ranging from USD 20k to 80k over four to ten weeks, and web apps are routinely connected to CRM environments through workflow automation and integrations.
During scoping the team documents every system the app must read from or write to, so connection work is planned and visible rather than improvised once the build is underway.
A chatbot, which Paloren builds from USD 20k to 50k over four to eight weeks, is a focused conversational layer that answers questions and routes requests. A custom web app is broader software with screens, roles, data and workflows of its own, typically starting from USD 40k.
Many projects combine both: the app handles operations while a chatbot or voice agent serves as its conversational front door.
Paloren is led by co-founders Aaron Agius and Alex Agius. Paloren combines implementation, workflow design and practical team training.
Ongoing support starts from USD 2,500 per month for ten hours. That covers fixes, adjustments, monitoring and incremental improvements as your team settles into the application.
Beyond reactive support, Paloren provides team AI training so staff can direct agents, review AI output and apply governance rules, and the roadmap process adds new AI capabilities to the app as your needs grow.
An AI readiness assessment, from USD 8k over two to three weeks, is the right starting point when data quality, system connections or permissions are unclear. It maps where information lives, which systems hold the truth and where gaps would undermine an AI-powered app.
If your processes are already well documented and integrated, Paloren can move directly into strategy and scoping instead.
Yes. AI governance is one of Paloren's services and is built into application projects as permissions, review points, audit trails and escalation paths for AI actions. Governance work defines which actions agents may take without approval, which require a human check and how activity is recorded.
This keeps AI-powered apps accountable as usage spreads across teams and countries.
Send a short summary of the app you have in mind and the systems it should connect to. Paloren will reply with a suggested scope, timeline and range before any commitment.
What should your web app do?
Book a scoping call
