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AI agents that cost a fraction to run.

We build production-ready AI agents for blockchain, proptech and fintech. Most tasks never need a frontier model. We route, right-size, and prove the output held.

Estimate projectIntro call
Cases passed
0 / 412
Drift · long multi-turn
7
Cost / 1k tasks
$0.12

AI spendWhat is your AI actually costing you?

Three numbers you already know. We’ll show you what the same workload costs once every step runs on the smallest model that passes its evals.

$8,000
70%
70%
  • Narrow, well-defined work can be run on a smaller model. Bigger jobs can usually be broken into small steps, and breaking them up is the engineering.
  • A smaller model does the same work for 5% to 20% of what a frontier model costs. That is the published gap between a vendor’s biggest and smallest tiers.
  • Nothing moves to a cheaper model until it’s tested against real examples with known-good answers. A saving that degrades output isn’t a saving.

Now

$8,000

Right-sized

$4,276 - $4,864

Estimated annual saving: $37,632

An estimate from your own numbers, not a quote. The real figure comes from measuring your traffic.

Get the full teardown
Mobile Reality team

Their dedication to meeting our objectives has been evident throughout our partnership.

Rachael Chase

Head of Operations, Exfluential

AI-Powered AssistantTalk to MR. Agent: Your AI Sales Consultant

Get instant answers about our services, estimate your project, or connect with our team. MR. Agent is available 24/7 to help you explore how Mobile Reality can bring your ideas to life.

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Tech BlogLatest articles on our tech blog

Insights on AI automation, software development, fintech, proptech, and emerging technologies, written by our engineering and product team.

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Case StudiesOur latest AI agent and software development case studies

Explore real projects we've delivered, from AI-powered platforms and proptech solutions to fintech apps and live streaming systems. Each case study showcases our end-to-end development process and the results we achieved.

Flaree - AI rewards platform screenshot custom software development

Flaree - AI rewards platform

As a software product development company, we created Flaree - AI rewards platform. With that management of building extremely efficient teams is easier and faster as never before.

web development
AI development
MR. Agent AI sales assistant screenshot custom software development

MR. Agent - AI Sales Assistant

As an AI agent development company, we built MR. Agent, our own AI sales assistant that answers questions, estimates projects, and captures leads through interactive forms instead of walls of text.

AI development
web development
Money Transfer app screenshot custom software development

Money Transfer Application

As a fintech expert and software product development company, we delivered a mobile app for international payment transfers and money remittances worldwide.

mobile development
react native development
AI invoice and accounting automation screenshot custom software development

AI Invoice & Accounting Automation

As an AI automation expert and software product development company, we built a headless pipeline that reads invoices and payslips with OCR and AI, then writes them straight into the books with zero manual data entry.

AI development
cloud application development

Are you ready to be Mobile? Let’s build smarter, deliver faster, and lead with results. 

Clients that already joined Mobile Reality 

TuneGo
Eurozet
CBRE
Urban One
Nomis

ServicesAI agents for business, engineered for cost per task

Gen UI CaseEngineering perfection that leads to success

Every engagement runs the same route. Here is an example of how we did it with Generative UI, and you can check it on your own.

  1. 01 · Shape the work

    Engineering

    Cost is decided by how the task is shaped, long before anyone picks a model. We keep deterministic code where it belongs, give the model a scope narrow enough to stay reliable, and design our own DSL when no existing format is cheap enough to run.

    Framework on GitHub
  2. 02 · Tune and measure

    Optimization

    Then we tune the run itself: prompts shaped so the cache holds and keeps paying, and the smallest model that still does the job. Nothing moves until cost, speed and quality are measured on real examples.

    Evals on GitHub
  3. 03 · Take the weights

    Ownership

    Where the volume justifies it, we fine-tune an open model on your task and deploy it on your infrastructure. You own the weights and the bill stops growing with usage.

    Model on Hugging Face

Our other repositories

Case StudyTake a look at how we helped our customers

ExpertisesWe specialize in

aiAutomation
Mobile Reality builds production-ready AI agents for business and automation systems that transform how teams operate. We develop custom AI agents for sales, document processing, customer support, and internal operations, each powered by LLMs, integrated with your existing tools, and built to execute complex multi-step tasks and workflows. Our AI agent development process covers architecture design, prompt engineering, tool integration, and ongoing optimization, with human oversight built in so enterprise teams stay in control of every agent. The result: intelligent agents that reliably automate real work, from small operations to enterprise-scale workflow automation.

Our AI agent expertise

By providing custom software development consulting in a country that is an outsourcing destination for millions of companies worldwide, Mobile Reality develops modern fintech customer-centric solutions dedicated to fast-growing financial companies. Mobile Reality's developers and product development team transform financial business processes into digital solutions that address the main business needs of the financial industry.

Our fintech expertise

As the Polish offshore software development partner, Mobile Reality provides custom enterprise software development services to the commercial real estate industry. Mobile Reality creates customized real estate software solutions such as proptech mobile applications and web property management platforms to equip your team with modern tools to fulfill your business needs and search, sell, manage, rent, or buy real estate.

Our proptech expertise

As a result of the custom software development process, Mobile Reality creates NFT marketplaces, NFT-based digital platforms, smart contracts, and other custom software solutions based on the FLOW blockchain using the Cadence 1.0 and Crescendo framework.

Our NFT expertise

Reviews as a testament of our qualityThey already trusted us

technologiesThe tech stack that keeps AI running costs down

At Mobile Reality, we build custom AI agents and software on production-proven stacks: React, Node.js, TypeScript, and AWS. The AI layer is chosen for unit economics as much as capability — multi-model routing across OpenAI, Anthropic, Google and open-weight LLMs so each step runs on the smallest model that passes its evals, retrieval-augmented generation instead of expensive fine-tunes where retrieval is enough, and self-hosted open weights where owning the model beats renting it by the token. We specialise in fintech, proptech, and SaaS, where compliance, speed, and predictable AI spend matter most. From architecture to deployment, we manage the full AI agent lifecycle end to end.

Learn more

Start your AI agent project today

Request a call today and get free consultation about your custom software solution with our specialists. First working demo just in 7 days from the project kick‑off.

Estimate projectIntro call

Matt Sadowski

CEO of Mobile Reality

CEO of JavaScript Custom Software Development Company
saas development saas platform hr tech

One of Polish top software development companies &SaaS platform creators!

Years of experience that we gained during our custom software development journey has been transformed into a SaaS platform for HR departments. Check out our KUDOS software and Slack app!
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Frequently Asked Questions

We are a 20+ team, which means you work directly with senior engineers - not a rotating bench of contractors. Our CEO and CTO are involved in project architecture from day one, and you get a dedicated team that stays with your project from start to finish. Our core stack is JavaScript and TypeScript across the full stack: React Native, React JS, Node JS, and Vue JS. If your product runs on JavaScript, we have done it before. We also build AI agents for business and bring deep domain expertise in fintech, proptech, and AI automation - industries where compliance, data security, and real-time processing are non-negotiable. As a Polish software development company, we offer rates between $45-65/hour for development and $40-50/hour for UX/UI and QA - competitive for the quality level that Central European teams deliver. Project management is included in those rates, not billed separately. What sets us apart from larger agencies: we do not pass your project to a junior team after the sales call. You talk to the people who build your product. We have delivered for fintech startups handling regulated payments, proptech platforms managing thousands of properties, and enterprise teams automating internal workflows and tasks with AI agents.
We build SaaS products for clients - and we also run one ourselves. Our platform Flaree is an employee engagement and recognition app used by HR departments. That means we deal with the same problems you will: subscription billing, multi-tenancy, user onboarding, retention, and scaling infrastructure as the user base grows. This dual perspective - agency and product owner - shapes how we approach your project. We do not just write code that works in staging. We think about what happens at 10,000 users, how to structure your data for multi-tenant isolation, and where to invest in automation early so your ops costs stay flat as you scale. Our stack is built for SaaS: React or Next.js on the frontend, Node.js with NestJS on the backend, PostgreSQL for data, and cloud infrastructure on AWS (ECS, RDS, S3, CloudFront) managed with Terraform. Flaree itself runs on exactly this stack - a NestJS API, a Next.js dashboard, PostgreSQL, and a Slack bot for in-workspace recognition. We have shipped SaaS platforms in fintech (payment processing, KYC flows), proptech (property management dashboards), and internal tools (workflow automation with AI agents). If you need a team that understands SaaS from both sides of the table - building it and running it - that is what we bring.
We are a full-stack JavaScript and TypeScript company. Here is what we work with daily: Frontend: React, Next.js, Vue.js - responsive web apps with server-side rendering where it matters for SEO or performance. Backend: Node.js with NestJS - REST APIs, GraphQL, microservices, and real-time WebSocket connections. Edge: Cloudflare Workers, Durable Objects, and R2 - streaming, stateful, and long-running workloads that run close to the user. Mobile: React Native - one codebase for iOS and Android with native performance. AI & Automation: OpenAI, Anthropic, and open-source LLMs routed through OpenRouter and integrated into production workflows - AI agents, document processing, conversational interfaces, and structured data extraction using our open-source framework MDMA. No-code & Low-code: Make.com for rapid automation - we are an official Make.com technology partner. We use Make for connecting APIs, automating business workflows, and prototyping integrations fast before building custom solutions where needed. Cloud & DevOps: AWS (ECS, Lambda, RDS, S3), Docker, CI/CD pipelines with GitHub Actions. We handle infrastructure from day one, not as an afterthought. Design & QA: Figma for UI/UX design. Automated testing with Jest, Cypress, and Playwright. Manual QA with Xray or TestRail for regulated industries that require test traceability.
In most cases, we can start within two weeks. That includes assigning a dedicated team, setting up the development environment, and running the initial product design workshop. If your project is urgent and the scope is well-defined, we have started as fast as one week. For larger engagements that need specific domain expertise - fintech compliance, AI integration, or complex migrations - we may need three to four weeks to assemble the right team and complete onboarding.
Once your product is live, we recommend signing a Service Level Agreement (SLA agreement) for ongoing maintenance and support. A typical SLA with us includes 24-36 hours of availability per month, split between critical issue response (1 business hour reaction time) and standard improvements (8 business hour reaction time). What this covers in practice: bug fixes, security patches, dependency updates, performance monitoring, and small feature iterations based on real user feedback. We keep your infrastructure healthy so you can focus on growing the product instead of firefighting. If your product scales beyond the SLA scope - new feature modules, integrations, or a major redesign - we spin up a dedicated development team again. Many of our long-term clients started with an SLA and expanded back into active development as their user base grew.
Absolutely, we would be thrilled to host you at our office in the center of Warszawa (Warsaw), Poland, Eastern Europe. We are part of the .
We take on projects where our stack and domain knowledge create the most value. Our strongest fit is product companies and enterprises that need custom web or mobile applications built on JavaScript/TypeScript - not WordPress sites or simple landing pages. Industries where we have the deepest track record: fintech (payment platforms, KYC automation, trading dashboards), proptech (property management systems, tenant portals, real estate marketplaces), and AI automation (AI agents for business, agent workflows, document processing, and internal workflow automation across teams). Beyond those, we have delivered social platforms, IoT dashboards, inventory management systems, and legacy modernization projects - replacing outdated .NET or Java monoliths with modern Node.js architectures. We also help companies that already have a product but need to integrate AI capabilities, connect third-party APIs, or scale their existing team with dedicated developers. The projects we pass on: simple informational websites, Shopify/WordPress customizations, or engagements under 2 months. We work best on products with technical complexity and long-term development horizons.

Both - and AI is not a separate team here, it is how everyone works. Every engineer at Mobile Reality uses Claude Code and Codex daily, on every project, whether their main role is frontend, backend, mobile, DevOps, or QA. There is no premium "AI engineer" rate, because agent skills are already baked into every role.

In practice, any role you hire can ship production AI agent features as standard work: tool-calling agents with structured output, RAG over your own documents with pgvector, multi-model orchestration across Claude, OpenAI, and OpenRouter, prompt versioning in Langfuse, and LLM evaluation with PromptFoo. We also maintain MDMA, our open-source framework for AI-generated interactive UI. Read more on business automation with AI agents.

You own everything - 100% of the source code, IP, and deliverables transfer to you. We sign an NDA before any technical discussion, and IP assignment is written into every contract from day one. You get full repository access throughout the project, not a handover at the end.

We work in English, daily. Our team overlaps several hours with US East Coast and the full working day with UK and EU clients. You get a dedicated project manager, async updates in your tools (Slack, Jira, or Linear), and regular calls at a cadence you set.

Being in Central Europe means we are a manageable time-zone gap for both US and European teams - not a 12-hour disconnect.

Yes, where your volume justifies it. We fine-tune an open-weight model on your task and deploy it inside your own infrastructure, so you own the weights, your data never leaves your boundary, and an unbounded per-token bill becomes a fixed hosting cost.
It will, if you swap models and hope. That is why nothing moves until it is tested against real examples with known-good answers. A saving that degrades output is not a saving. We build an eval set from your own task, run every candidate model against it, and score the output before anything changes. What comes back is a map of where each model holds and where it breaks: smaller ones tend to pass short, structured work and drift on long, multi-turn conversations. That boundary is what tells you which savings are safe to take, and the eval set stays yours to re-run every time a model or a prompt changes.
Three moves, in order. First we shape the task so each step produces something small and checkable, because cost is decided by how the work is structured long before anyone picks a model. Then we right-size: find the smallest model that still does the job, and prove it on your own examples. Finally, where the volume justifies it, we fine-tune an open-weight model that you host yourself. The size of the win depends on where you start. Moving a task from a frontier model down to a small tier typically lands at 5% to 20% of the original cost, which is the published gap between a vendor's biggest and smallest tiers. Moving a single tier down, say from Opus to Sonnet, is closer to 40%. We measure your traffic before promising a number.

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