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  • What we build
  • 11 years
  • 150+ projects

Software and AI engineering for founders, scale-ups, and enterprise teams — built to last past the demo.

11+ years building production software. In the last few, we've put that experience behind AI: agentic systems, LLM integrations, and modernizing MVPs that were never meant to hold real users.

AI

AI & intelligent systems

We build production AI, not prototypes — agentic workflows, LLM integrations, and automation pipelines that combine large language models with secure backend systems and cloud-native deployment. If you're not sure which of these four fits, the comparisons below and the FAQ at the end of this section should help.

  • Agentic AI development

    An agentic system makes autonomous decisions across a multi-step workflow — it doesn't just respond, it plans, acts, and adapts without a human approving every step.

    Who it's for

    • Teams replacing multi-step manual decision chains
    • Products that need an AI to act, not just answer

    compared to AI Automation

    Automation executes rules you define; agentic systems decide the next step themselves.

    Learn More
  • AI Integration

    AI integration embeds an LLM or AI capability into a product you already have — search, support, content, or decision support layered on your existing architecture.

    Who it's for

    • Products with an existing user base and stack
    • Teams that want AI features, not a rebuild

    compared to Agentic AI

    Integration adds AI to a defined feature; agentic systems own a whole workflow end to end.

    Learn More
  • AI Automation

    AI automation replaces manual, rule-based processes with an intelligent system that executes them faster and more consistently — the process stays defined, the execution doesn't need a person.

    Who it's for

    • Teams with repeatable manual workflows
    • Operations looking to cut processing cost and time

    compared to AI Integration

    Automation targets a process end-to-end; integration targets a single feature inside a product.

    Learn More
  • AI-built MVP Modernization

    Founders who ship a first version with tools like Lovable, Bolt, or Wix AI often hit a wall — we rebuild that MVP into software that can carry real users, real data, and real load.

    Who it's for

    • Founders who validated an idea with an AI builder
    • Products hitting scaling or reliability limits

    related to Product Development

    This entry point is specifically for AI-tool-built products; see Product Development for from-scratch builds.

    Learn More
Product

Product development

For companies building a new product, scaling an existing one, or rebuilding something that's outgrown its first version.

  • Custom Software Development

    Software designed around how your business actually works, not bent to fit an off-the-shelf tool — built for your specific process, data, and constraints.

    Who it's for

    • Businesses with workflows generic tools don't fit
    • Teams that need a competitive, owned system

    compared to SaaS Development

    Custom software is typically single-tenant, built around one company's process — SaaS is built to serve many customers at once.

    Learn More
  • SaaS Development

    A secure, multi-tenant application built to be sold to many customers — architected from day one for scale, isolation, and fast iteration.

    Who it's for

    • Founders building a product to sell as a subscription
    • Teams needing multi-tenant architecture done right

    compared to Custom Software

    SaaS is built for many tenants sharing one codebase; custom software is built for one.

    Learn More
  • Mobile App Development

    Native and cross-platform apps covering the full cycle — planning, design, build, and ongoing support after launch.

    Who it's for

    • Products that need a dedicated mobile experience
    • Teams launching on iOS and Android together

    pairs with Custom Software or SaaS

    Add a mobile client alongside web when the product needs one.

    Learn More
  • MVP & Legacy Modernization

    Turning a first version — hand-built or agency-built — into a product architected to handle real growth, without starting over from zero.

    Who it's for

    • Founders past validation, before scale
    • Teams inheriting an aging codebase

    related to AI-Built MVP Modernization

    If your MVP was built with an AI tool specifically (Lovable, Bolt, Wix AI), see AI-Built MVP Modernization in AI & Intelligent Systems.

    Learn More
Team

Team & delivery models

Sometimes the gap isn't a project — it's capacity. This cluster covers ways to work with BeeWeb as an extension of your own team.

  • Dedicated Development Team

    A team of BeeWeb engineers assigned to your project, working as an extension of your own team for as long as you need them.

    Who it's for

    • Companies needing extra developers short- or long-term
    • Teams that want direct control without hiring overhead

    compared to project-based clusters above

    You manage priorities and scope directly, rather than briefing a fixed deliverable.

    Learn More
Domain Expertise

Industries We Work In

We're tech-agnostic, but not domain-agnostic — these are the industries where we understand the workflows, the compliance requirements, and the specific things that break at scale. Each one has its own page, with relevant case work and constraints (HIPAA, PCI-DSS, and so on).

  • Healthcare / HealthTech

    HIPAA-aware architecture for products handling real patient data.

    View Industry
  • Market Research

    Data collection and analysis platforms built for accuracy at volume.

    View Industry
  • LegalTech

    Document-heavy workflows with the security and audit trail legal work demands.

    View Industry
  • E-Commerce

    Catalog, checkout, and inventory systems that hold up under real traffic.

    View Industry
  • Don't see your industry?

    We still probably fit — get in touch and we'll tell you honestly if we don't.

    Get in Touch
Not Sure Which Fits?

Start from where you are, not from our service list

  • Startup founder

    Validating or Past Validation

    You need something built fast, or you built it fast and it's starting to creak. Look at MVP & Legacy Modernization, or AI-Built MVP Modernization if you used an AI builder.

  • Scaling business

    Growing past your current system

    Your product works, but it needs to work for a lot more people, or do a lot more automatically. Look at SaaS or Custom Software Development, paired with AI Automation.

  • Enterprise

    Capacity or capability gap

    You need engineering hours you don't have, or AI capability your team hasn't built before. Look at a Dedicated Development Team paired with Agentic AI.

Process

How We Work

  1. 01

    Discover

    We learn your product, constraints, and what "done" actually needs to mean.

  2. 02

    Design

    Architecture and scope get defined before a line of code is written.

  3. 03

    Build

    Iterative delivery with visibility into progress at every stage.

  4. 04

    Scale

    We stay involved as real usage tests what we built — and adjust.

Technologies

The stack behind each cluster

The success of a digital product strongly depends on its responsive behavior, performance, and intuitive user experience. At BeeWeb, we build modern, interactive frontend applications that work seamlessly across all devices and screen sizes. Our frontend engineers create clean, functional, and visually engaging interfaces tailored to your product goals and user expectations. We focus on simplicity, usability, and performance — ensuring users can easily navigate, understand, and interact with your application without friction. By combining modern frontend frameworks with strong UI/UX principles, we deliver client-side solutions that increase user engagement, improve retention, and support long-term scalability.

  • Production-ready AI systems that integrate into existing architectures — AI-powered features, agentic workflows, and automation pipelines combining LLMs with secure backend systems and cloud-native deployment.

    • OpenAI
    • ClaudeAI
    • Gemini
    • LLama
    • LangChain
    • Pinecone
    • PGVector

Tell us what you're building

Share your idea, challenges or growth plans. We'll help you evaluate the best technical path forward

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