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AI-Native Product Development Company

DBB Software builds production-ready AI features, agentic systems, and private AI platforms, backed by senior engineers. Fixed scope, real deployment, measurable outcomes.

At DBB Software, we develop bespoke software using agentic AI development tools and senior developers — delivering in weeks at a fraction of traditional cost.

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100+

Successfully delivered projects

100+

Skilled software engineers

80% of clients

stay 7+ years

Three ways we take AI into production

Most engagements start in one of three places. We help you pick the right one on the first call — no mandatory discovery phase, no forced scope.

AI Feature Integration

Add production AI to the product you already have.

We build a defined AI capability into your product under fixed scope, timeline, and budget. No rebuild, no permanent AI hire. Search, copilots, support agents, document processing, recommendations.

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Agentic AI Development

Agents that do multi-step work — built by Claude Certified Architects.

We design and ship agentic systems with tools, memory, integrations, permissions, and human oversight. For teams that can build a demo but don’t yet know how to architect agents for production.

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Sovereign AI Platforms

Your own AI infrastructure — data, models, and memory under your control.

We build self-hosted and private AI platforms with model flexibility, encrypted credentials, audit logs, role-based access, and full deployment control. A complete AI product, not an API wrapper.

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AWS Partner
TechReviewer Top 100
TechReviewer Top 100
Clutch 2026 Top SQL Developers
Clutch 2026 Top NodeJS Developers
Clutch 2026 Top React Developers
Clutch 2026 Top React Native Developers
Clutch 2026 Top Web Developers
Clutch 2026 Top Health & Wellness App Developers
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Clutch 2026 Top Robotics Company
Clutch 2026 Top Chatbot Company
Clutch 2026 Top App Development Company
Clutch 2026 Top Recommendation System Company
Clutch 2026 Top Artificial Intelligence Company
Clutch 2024 Top DevOps Managed Services Company
Group 43927
TechBehemoths Award Winner
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Production AI, Not Prototypes

100+

Skilled

Professionals

We take AI from proof of concept to production — with architecture, evaluation, security, inference-cost control, and human oversight built in from day one. You get a feature that ships, not a demo that stalls.

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Senior Engineers, Amplified by AI Agents

Every build is led by senior engineers who use specialized AI agents across planning, coding, testing, and documentation. You get faster delivery without giving up accountability for architecture, accuracy, cost, and security.

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Long-Term Partnerships & Support

With 80% of clients staying 7+ years and our teams collaborating for over 5 years, the same engineers who ship your product keep improving it — from launch through scaling and evolution.

Quality Assurance & Standards Compliance

Secure-by-default architecture with CMMI- and ISO-aligned processes for continuous improvement, quality, and process optimization — and proven experience in regulated domains like healthtech, fintech, and legaltech.

Certified to Deliver Advanced Solutions

Over 100 Delivered Projects

DBB Software Case Study

Building a Custom AI Chatbot with Deep CMS Integration and MCP Protocol Support

Challenge:

DBB Software needed to convert website traffic into qualified leads, but off-the-shelf chatbots couldn't integrate with its CMS, qualify leads using structured data, or support interoperability with AI agents via MCP.

Solution:

Built a tool-augmented AI chatbot with 16 real-time Storyblok CMS tools.

Implemented the first public MCP server on a company website.

Developed structured BANT lead qualification with GDPR enforcement at the schema level.

Delivered a 9-layer security stack with prompt injection defense and cost controls.

Result:

Production system in 4 weeks with a single developer, 40x cost advantage over SaaS alternatives, and zero-maintenance content sync via real-time CMS integration.

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Building a Self-Hosted AI Agent Platform Users Fully Own

Challenge:

A consumer AI studio needed a personal AI platform whose users own the runtime, the memory, and the credentials, which ruled out the vendor-cloud architecture every competing assistant depends on.

Solution:

Built the pod runtime as a single Go binary carrying authentication, an encrypted key vault, a file drive, and audit logging

Devised a supervised agent layer that runs one Python agent process per AI agent and streams its events to the browser

Built persistent memory and agent identity, with a portable skills format and Model Context Protocol tool servers

Created cross-surface packaging and delivery, bundling three runtimes into one desktop installer with continuous deployment

Result:

Data stays local, install is the deployment, and model choice stays open on a platform taken from zero to working in about four months by one senior engineer.

Lakera Case Study

Integrating Front-End Products and Services for an AI Security Platform

Challenge:

A fast-growing AI security company needed its products to work as one, connected to a real-time backend, third-party models, and shared services.

Solution:

Built Red as a real-time red-teaming product on Convex.

Unified the front-end layer across multiple products.

Integrated third-party auth, models, and feature flags.

Automated data sync and shipped a gated public demo.

Result:

The full scan journey works end to end, five apps share one look and feel, and new scan coverage isn't a rebuild, with unfinished work that ships dark and access locked to two checks.

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Alex Shyba

CTO, Uniform

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“DBB Software delivered the first version in record time. The team continues to work on the website with a sense of ownership and pride in their work.”

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Arne-Morten Willumsen

CEO & Co-Founder, Bookis

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"The growth mindset of the people working at DBB Software is next to none. The platform was released with more than 450K users getting a $6M yearly turnover."

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Peder Søholt

CTO & Co-Founder, Plaace

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"Impressive what they have managed to make in such a small time, also suggesting new ways to implement, or new technologies we should be aware of.”

5.0

32 Reviews

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Our Teck Stack

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Golang

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ASP.NET

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Computer Vision

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AWS

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LLM

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React

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Python

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Recommendations

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Sitefinity

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Flutter

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Angular

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.NET

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Vue.js

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MS Azure

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Kotlin

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Node.js

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Sitecore

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Uniform

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Swift

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Nest.js

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Contentful

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Strapi

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React Native

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Search

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Next.js

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Google Cloud

How We Engage: Collaboration Models

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Fixed-Scope Delivery

A defined outcome, milestone-based delivery, and a fixed timeline and budget. Best for AI feature builds and well-understood projects.

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Time & Material

Flexible, transparent engagement for evolving scope and continuous development. Best for scaling and long-running work.

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Dedicated Team

Senior engineers who plug into your roadmap and leadership as an extension of your team. Best for ongoing product development and added capacity.

Tell Us What You’re Trying To Achieve

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"Share your goal — an AI feature, a new product, or extra engineering capacity — and we’ll come back with the right technical and delivery approach."

Mina Morkos

Business Development Manager

FAQ