Python
For AI and data-heavy backend work, we build with Python, the standard language for machine learning, LLM orchestration, and data pipelines.
Every project is built with real, production-tested technology, not whatever's trending this month. Here's precisely what we build with and why we chose it, from AI & automation to web, mobile, and cloud infrastructure.
We provide real AI infrastructure, models, orchestration, and voice, not just a chatbot widget bolted onto a landing page.
For AI and data-heavy backend work, we build with Python, the standard language for machine learning, LLM orchestration, and data pipelines.
We integrate OpenAI's GPT models to power chatbots, content generation, and AI assistants tailored to your specific business logic.
For tasks that need careful reasoning and longer context, we integrate Anthropic's Claude models into custom AI workflows.
We work with Google's Gemini models, where multimodal capabilities, text, image, and beyond, best fit the use case.
We use LangChain to orchestrate multi-step AI workflows, chaining models, tools, and data sources into a single reliable system.
For RAG-based AI systems, we use Pinecone as the vector database that powers fast, accurate retrieval from your data.
Our voice AI and call automation systems run on Twilio's telephony infrastructure, which is reliable, scalable, and built for production call volume.
We use Vapi to orchestrate real-time voice AI conversations, connecting speech recognition, language models, and voice synthesis into one smooth call flow.
For natural-sounding AI voice agents, we use ElevenLabs, speech synthesis that doesn't sound like it's reading from a script.
We build automation workflows using n8n, Zapier, or Make, connecting your existing tools so data moves automatically instead of manually.
The database and framework get chosen for how your data actually behaves, not the other way around.
For backend systems that need real structure as they grow, we build with NestJS, a framework that keeps large codebases organized and prevents them from turning into a mess of routes.
We use Node.js for backend systems that need to handle many concurrent requests efficiently, APIs, real-time features, and services that talk to multiple other systems.
For lighter backend services that don't need a full framework, we build with Express.js, it's quick to set up, has minimal overhead, and gives full control over the architecture.
For projects that need to move fast without managing their server infrastructure, we build on Firebase, real-time data, authentication, and hosting are handled for you.
We design PostgreSQL databases built for data integrity and complex queries, giving your application a reliable foundation as your data grows.
For flexible, document-based data models, we build on MongoDB, ideal for applications with evolving schemas and high write volumes.
Our GraphQL APIs let front-end teams request exactly the data they need, reducing over-fetching and speeding up app performance.
We use Supabase to ship backend features faster, authentication, real-time data, and storage built on PostgreSQL without reinventing the wheel.
The framework changes by project, speed, SEO needs, and team size decide it, not habit.
We build fast, responsive web applications with React, from customer-facing SaaS dashboards to complex enterprise interfaces that need to update in real time.
Most of our SaaS and marketing sites run on Next.js, it provides server-side rendering, routing, and performance without extra configuration.
For enterprise applications that need a strict structure and long-term maintainability, we build with Angular, which is well suited to large teams and complex business logic.
We use Vue.js when a project needs a lighter, more flexible framework, good for teams that want fast iteration without Angular's overhead.
For high-content sites that need to load fast and rank well, we build with Gatsby, a static site generator that keeps pages quick without sacrificing SEO.
When a site doesn't need a heavy JavaScript framework, we build it with Eleventy, minimal, efficient, and easy for a non-technical team to maintain.
Our TypeScript development services add type safety across your codebase, catching bugs before they reach production and making large applications easier to maintain long-term.
We use Tailwind CSS to build consistent, responsive interfaces faster, without the bloated stylesheets that slow down traditional CSS frameworks.
Our Vite-based builds give near-instant hot reloading and faster production builds, cutting real development time on modern front-end projects.
One codebase or two native builds, the right answer depends on what the app actually needs to do.
We build cross-platform mobile apps with Flutter when a project needs one codebase, near-native performance, and a highly custom UI that doesn't look like a template.
For most cross-platform mobile projects, we use React Native, one codebase for iOS and Android, with the flexibility to drop into native code where it actually matters.
For projects that need full native performance, we build iOS apps in Swift, Apple's own language, optimized for speed and platform-specific features.
Our native Android development uses Kotlin, giving full access to Android's latest features and the best possible performance.
Infrastructure built to survive a real traffic spike, not just look fine in a demo.
We deploy and manage infrastructure on AWS, built to scale with real traffic instead of falling over the first time you get a spike.
Our Docker-based deployments keep environments consistent from local development through production, eliminating “it works on my machine” problems.
We set up CI/CD pipelines with GitHub Actions that catch issues in testing before they ever reach your users.
For front-end and Jamstack projects, we deploy on Vercel for rapid global delivery with zero-downtime deployments.
We also deploy Jamstack sites on Netlify, giving your team instant preview builds and reliable, fast hosting.
The right CMS depends on who edits content and how structured it needs to be, not which one we default to.
We use Sanity as our go-to headless CMS for teams that want real content flexibility and structured content that plugs into any front end without being locked into a rigid page builder.
For larger content operations with multiple content types and workflows, we build on Contentful, an enterprise-grade headless CMS designed for scale.
When a client specifically needs WordPress for familiarity, existing plugins, or a team already managing it, we build clean, fast WordPress sites without the usual plugin bloat.
For teams that want a self-hosted, fully customizable headless CMS, we build on Strapi, open-source and adaptable to almost any content structure.
Billing has to work correctly every time; this section is the part of a product where mistakes cost real money.
We integrate Stripe for most payment and subscription billing work; it's reliable, well-documented, and the standard most SaaS products are built on.
For markets or customers who specifically expect it, we add PayPal alongside Stripe, so checkout doesn't lose a sale over payment method preference.
For SaaS products sold internationally, we also work with Paddle, which handles global tax compliance as the merchant of record, so you don't have to worry about that complexity.
Our Process
A proven software development process that keeps your project on track, transparent, and focused on results.
01
Clarify what you're building, who it's for, and why it matters.
02
Lock in the right tech stack and a realistic roadmap.
03
Design interfaces people actually enjoy using.
04
Build with clean, maintainable code, not shortcuts.
05
Test for performance, security, and real edge cases.
06
Launch, then keep supporting you as you grow.
Every project we take on holds to the same standard. Here's what people ask us most before getting started.
It depends on the project. Front-end runs on React, Next.js, Angular, or Vue depending on scale and team size; back-end uses Node.js, NestJS, or Firebase; AI features run on OpenAI, Claude, or Gemini. The full breakdown by category is on this page.
Yes. OpenAI's GPT, Anthropic's Claude, and Google's Gemini all get used depending on which fits the task, careful reasoning, multimodal input, or general-purpose chat.
Yes, most engagements involve working inside a stack a client already has, not replacing it. We'll tell you honestly if something in your current stack is going to cause real problems, but we don't rip things out just to use our preferred tools.
Next.js handles server-side rendering, routing, and performance optimization out of the box, things you'd otherwise have to configure manually in a plain React app. For most SaaS and marketing sites, that saved setup time matters.
Yes, though it depends on the state of the code. We'll do an honest assessment first, sometimes the right move is incremental fixes, sometimes it's a partial rebuild, we'll tell you which before quoting either one.
Tell us what you're building. We'll help you turn your idea into a scalable AI-powered product, from concept to launch.
