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AI Product Development Services

From the first prototype to production, DBB Software delivers generative AI development services that actually ship. We design, build, and run AI-powered products (copilots, RAG assistants, agents, and multimodal features) with senior architects accountable for accuracy, cost, and data privacy.

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AWS Partner
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5.0

29 Reviews

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& 30 more

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Generative AI Products We Build

Generative AI Products We Build

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Generative AI Development Services We Provide

Full-lifecycle generative AI software development, from picking the right model to running it in production.

The Right Model for a Job

Most AI cost and lock-in problems come from defaulting to the biggest frontier model for everything. We architect for the opposite.

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Small Language Models Where They Fit

A right-sized model can be 10–30× cheaper to serve than a frontier LLM for the same task. We use SLMs where they win and reserve the big models for the work that truly needs them.

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Model-Agnostic by Design

We build across OpenAI, Anthropic, Google, Llama, and Mistral, so you're never locked into one vendor's pricing, roadmap, or outage. Swapping models is a config change.

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RAG vs. Fine-Tuning

We ground the product in your data with retrieval first, and fine-tune only when it earns its keep, so you get accuracy without an unnecessary training bill.

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Open, Private & On-Prem Options

For regulated data, we can deploy open models in your own cloud or on-prem, so sensitive data never leaves your environment.

Not sure exactly what your AI product needs yet?

Describe your idea and get a Scope & Design Document (features, architecture, model choices, and a build-ready plan) in minutes.

Generate My Mobile Scope

How We Use AI to Accelerate Delivery

AI runs through how we work, from scoping to testing, and senior engineers review everything it produces. We use it to move faster, not to lower the bar.

Business Intelligence

Scoping & Documentation

Faster Scope Docs, specs, and technical plans.

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Code Generation

Senior engineers direct the work and review every output.

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Testing & QA

Broader test coverage, with issues caught earlier.

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Research & Integration

Quicker evaluation of tools, libraries, and approaches.

AI Tools vs. Architect-Led AI Development

AI coding tools can generate code. Software you can actually ship requires a real architecture, built-in security, and senior engineers accountable for the result.

AI Tools Alone

Generate code without system design or human oversight:

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No architecture, so the code has no structural foundation

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No security framework or compliance standards

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Works for prototypes, but breaks under real production load

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Unpredictable timelines, because debugging eats up the speed you gained

DBB's Architect-Led AI Development

AI accelerates the build; the Architect governs the outcome:

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A senior architect defines the system before any code is written

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Senior engineers review every output before it ships

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ISO/IEC 27001-certified practices from day one

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Built for production from the start

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A clear schedule you can plan around: a working proof of concept in 1 week, a functional MVP in a month

How We Use AI in Development

Explore Architect-Led AI

How We Engineer Every AI Product

Architect-led and senior-reviewed, every AI product we ship is built to the same standards: grounded, governed, and safe to put in front of real users.

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Grounding & Accuracy

RAG pipelines and evaluation suites tie outputs to your data and measure quality against real benchmarks.

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Guardrails & Safety

Prompt-injection defenses, output validation, and content filters at every boundary, the same discipline behind the 9-layer security stack on our own AI product.

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Model-Agnostic Architecture

No single-vendor dependency: providers and models are swappable by design, so you're never locked in.

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Cost & Latency Engineering

Right-sized models, caching, and batching keep responses fast and inference costs predictable at scale.

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Data Privacy & Compliance

SOC 2, HIPAA, GDPR, and EU AI Act-aware from day one, with PII handling and data-residency options for regulated products.

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Observability & Evals

Tracing, monitoring, and drift detection wired in from the first sprint, so quality issues surface before your users feel them.

AI Product Development Case Studies

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.

Renovai Case Study

Developing an AI-Powered Design for an E-Commerce Company

Challenge:

An e-commerce company needed help with developing and implementing an AI-powered design assistant.

Solution:

Added AI-powered CTL.

Implemented a 3D rendering engine for room designs.

Developed a virtual designer questionnaire.

Set up a 360-degree iFrame feature.

Result:

30% revenue growth, 12% increase in average order value, 16% boost in conversion rates, and 2x increase in time spent on site achieved.

Plaace Case Study

Improving a Real Estate Platform with an AI-Powered Assistant

Challenge:

A Norwegian proptech company approached DBB Software to add an AI-powered assistant to its real estate platform.

Solution:

Added AI-generated insights widget.

Integrated a WYSIWYG editor for additional customization.

Optimized frontend using Vercel AI SDK for more responsible user interactions.

Result:

Delivered features to enable improved decision-making with an AI-powered assistant and boosted user engagement via dynamic insights and editable content.

Opal Loupe Case Study

Creating an AI-Powered Talent Acquisition Platform

Challenge:

DBBS helped a startup improve its core product, an applicant tracking system, through new features, complete redesign, and scalable architecture.

Solution:

Implemented a modern front end using React, TypeScript, Next.js, Tailwind CSS, and Radix UI for intuitive UX.

Leveraged LLMs and cloud AI services to improve core functionality with AI.

Built out user management, data import/export, CI/CD pipelines, and automated testing.

Optimized performance and reduced AI-related operational costs.

Result:

Successful MVP launch with positive early-adopter feedback, better control over operational costs, and a robust, scalable architecture for future growth.

Wallfly Case Study

Advancing an AI-Powered Meeting Management Platform

Challenge:

A technology product company wanted to improve and expand the reach of its AI-powered meeting management platform that records government meetings.

Solution:

Developed an admin panel to manage data and migrate workflows.

Implemented a Boolean search engine for document research.

Created scrapers for pages with live broadcasts in different locations.

Migrated the solution to AWS-based PostgreSQL.

Result:

The solution is moving to a dedicated platform, and the team is implementing a dedicated search engine for audio transcriptions.

Testimonials

“DBB Software's commitment to delivering outstanding AI and custom software solutions was truly impressive”

Mariam Asatryan Avatar

Mariam Asatryan

COO, Software Engineering Company

“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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Alex Shyba

CTO, Uniform

"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.”

Peder Søholt avatar

Peder Søholt

CTO & Co-Founder, Plaace

"They are skilled, communicative, and dedicated workers. DBB Software has delivered the project on time and with high quality, exceeding the client's expectations"

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Alon Gilady

CEO, Renovai

"Their level of engagement and collaboration on each project are impressive. The engagement has reduced call center costs and increased overall consumer growth"

Name withheld under NDA avatar

Name withheld under NDA

Product Manager, DispatchHealth

Our Certifications

DBB Software, a certified partner for AWS, Microsoft Azure, and MongoDB, delivers secure, scalable projects.

About Us

100+

Skilled

Professionals

Established in 2015, DBB Software specializes in developing innovative, custom digital products. With 50+ partners in our ecosystem and a 97% satisfaction rate, our track record speaks for itself.

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Long-Term Partnerships & Support

With 80% of clients staying 7+ years and our team collaborating for over 5 years, we ensure dedicated long-term support.

Quality Assurance & Standards Compliance

Adherence to CMMI and ISO standards for continuous improvement, quality, and process optimization.

Agile and SCRUM Methodologies

Flexible, transparent, and collaborative project management using Agile and SCRUM methods.

Faster Software Development

We cut development time with architect-led, AI-accelerated engineering, speeding up POC, prototypes, and delivery without lowering the bar.

Scope Your AI Product in Seconds

Describe your generative AI product to get a free, instant scope. See the proposed architecture, model choices, and effort tiers right now.

Generate Mobile Scope

How We Work

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Generate Your Instant Project Preview

Describe your project in our DBB Project Scope Generator, with no calls or emails required. You'll instantly receive an AI-generated preview highlighting the architecture, delivery risks, and suggested milestones.

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Unlock the Full AI Scope Document (Free)

Fill out a quick form to receive a free, comprehensive PDF detailing your requirements, proposed architecture, and implementation plan: a strong starting point for our discussions.

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Book Your Intro Call

With your AI Scope Document in hand, book a 30-minute intro call with Mido, our business development lead. You walk through the plan together, get your questions answered, and agree on the next step. Pick a time here.

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Discovery Sprint

Under an NDA, our senior team delivers a build-ready plan for $1,777. You receive a validated system architecture, UX wireframes, a frozen scope, and a fixed-price quote for an MVP or a complete solution.

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Finalizing the Development Proposal

We finalize the scope of work and submit a detailed proposal based on our discovery: key milestones, deliverables, and timelines, for full transparency before any development begins.

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Working with the Development Team

After launch, we provide ongoing support, monitoring, and feature development. Your AI product grows with your business: new capabilities, new integrations, new markets.

Mina Morkos: Business Development Manager

Mina Morkos

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Business Development Manager

Discuss Your Project

AI Product Development Tech Stack

Each project gets a tailored stack for timely delivery and clean code. Drawn from the technologies our engineers work with day to day:

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AWS

Keras

Keras

Scikit Learn

Scikit Learn

SpaCy

SpaCy

NLTK

NLTK

GPT-3

GPT-3

YOLO

YOLO

OpenCV

OpenCV

Tensor Flow

Tensor Flow

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Google Cloud

PyTorch

PyTorch

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MS Azure

FAQ

Contact Us

I have read the principles of personal data protection - Privacy Policy

"Our 10 years of software development expertise are embedded in our architect-led, AI-accelerated delivery, so you don't start from scratch; we set everything up fast and build to production standards.

Interested? Fill out the form and book a free consultation!"

Mina Morkos

Mina Morkos

Business Development Manager

Want to talk through what this looks like for your project?

Our AI assistant can walk you through the approach, share a relevant case study, or scope a discovery phase with our team.

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