AI App Productionization as a White-Label Service
Turn Your Clients' AI Prototypes Into Production-Ready Revenue
Your clients are moving fast with AI tools, building apps, automating workflows, shipping prototypes. And now they're looking at your agency to make those prototypes production-ready. Scalable, secure, deployable. The problem: that's deep engineering work your team wasn't staffed to deliver. Don't let a capability gap cost you the contract, or your client relationship. DBot Software operates as your invisible engineering partner. We audit, refactor, and deploy AI applications under your brand, while you stay focused on the client relationship and strategic growth.
Book a White-Label Discovery Call
/The Challenge/
Your Clients Expect Production-Grade AI, But Your Team Is Already at Capacity
Agencies and consultancies are winning more AI engagements than ever, and that's the problem. Clients arrive with AI-generated codebases, ChatGPT-assisted MVPs, and automation scripts built with tools they barely understand. They expect your team to take ownership: harden the code, integrate it with their systems, and ship it to production. But production-ready AI work requires specialized skills, MLOps, cloud infrastructure, API security, performance tuning, CI/CD pipelines. Hiring full-time doesn't make sense for project-based work. Subcontracting to generalist developers creates risk. And turning away the project means losing a client, possibly for good.
Client retention
On time delivery
Industries Trusting Our Solutions
NDA Included
Strict adherence to confidentiality
IP Rights Secured
All Intellectual Property belongs to you
/Our Approach/
What Happens When You Can't Deliver on the AI Promise
The AI market is moving fast. Agencies that can't bridge the gap between prototype and production are already losing mandates to competitors who can. Worse, when a client's AI project stalls, because the code is fragile, the deployment fails, or the integration breaks, they don't blame their AI tool. They blame your agency. On the other side: agencies that can reliably take any AI project from code review to live deployment are becoming indispensable partners. They're expanding retainers, winning referrals, and building recurring revenue without adding headcount. The difference is having the right engineering support behind you.
/Get Started/
Let's Define Your White-Label Engagement
Start with a free 30-minute discovery call. We'll assess your current AI project pipeline, understand your typical client use cases, and outline exactly how a white-label partnership would work, pricing, scope, delivery timelines, and confidentiality. No commitment required. If there's a fit, we move fast.
/What’s at Stake/
Your Brand, Your Client, Our Engineering Accountability
Every white-label engagement is protected by NDA from day one. Your clients never know we're involved unless you choose to tell them. All code, documentation, and IP is transferred to your agency, and through you to your client, with full legal clarity. Our 100% on-time delivery rate isn't a marketing claim; it's a condition of how we staff and manage every project. We don't start work we can't finish.
Book Free Discovery Call/Proven Results/
Agencies Choose Partners Who Have Already Delivered
DBot Software’s 94% client retention rate reflects the kind of delivery consistency that makes long-term partnerships possible. Our clients don’t come back because we’re the cheapest option. They come back because we reduce their risk, meet their deadlines, and make them look good to their own stakeholders, exactly what a white-label partner needs to do for you.
Real Systems, Real Results, Delivered Under Pressure
For Alpega, a global logistics platform, we delivered 85% freight matching accuracy and 3x scalability, integrating AI-driven processes into a production environment with strict uptime requirements. For DD Bricks, we built a hybrid B2C and B2B eCommerce system that cut workload by 60% and generated $500K in annual savings. For Häfele, our system integration reduced stock shortages by 30% and cut team workload by 60%. These aren't proofs of concept, they're production systems running at scale. That's the standard we bring to every white-label engagement.
Griffwerk
Griffwerk: Redefining Efficiency and Cost Reduction in the Door Industry
Enhance operational efficiency and reduce costs.
Griffwerk partnered with DBot to integrate intelligent automation and software solutions into their processes. This collaboration focused on streamlining workflows through Robotic Process Automation (RPA) and Python-based automation, ensuring greater accuracy, speed, and cost-effectiveness in daily operations.
Heicko
Heicko e-ast GmbH: Streamlining CRM and ERP Systems with DBot Solutions
To enhance efficiency and automation, Heicko e-ast GmbH partnered with DBot to optimize their CRM and ERP systems.
By streamlining sales processes and automating key operations, DBot helped Heicko reduce manual workload, improve data accuracy, and enhance sales performance. Through intelligent automation, including RPA and API integrations, Heicko’s operations became more agile and scalable.
Häfele
Hafele's Digital Transformation: Intelligent Automation in the Furniture and Hardware Industry
DBot partnered with Häfele to drive a large-scale digital transformation through intelligent automation.
The collaboration spanned various projects, from custom software solutions to automation enhancements. One of the key achievements was the overhaul of Häfele's purchase order system using cutting-edge OCR (Optical Character Recognition) and RPA (Robotic Process Automation) technologies.
RIS Swiss Section Bangkok
RIS Swiss Section Bangkok: 60-Year Legacy in Digital Transformation for Education
60-Year Legacy in Digital Transformation for Education.
RIS Swiss Section Bangkok, a renowned German language school, embarked on a comprehensive digital transformation journey in collaboration with DBot. This marked a significant milestone in the institution's legacy, a commitment to embracing cutting-edge technology and enhancing the educational experience.
DD Bricks
DD Bricks: Revolutionizing E-Comm with a Customized ERP System
Revolutionizing E-Comm with a Customized ERP System.
DD Bricks, the global leader in e-commerce for pre-owned Lego components, embarked on a transformative journey to enhance its operations and solidify its position in the dynamic Lego marketplace. They partnered with DBot to create a tailored ERP system, a game-changing move in the world of Lego commerce.
Alpega
Alpega Group: Enhancing Transport Management Software Excellence
Enhancing Transport Management Software Excellence.
Alpega is a leading global logistics software company that offers end-to-end solutions that cover all transport needs, including transport management services (TMS) and freight exchanges. Dive into the challenges faced, innovative solutions implemented, and the transformative results achieved in the logistics software sector.
Common Questions About White-Label AI Productionization
If you're evaluating a white-label engineering partnership for the first time, here are the questions most agencies ask us before getting started.
Contact usHow do you ensure our clients never find out you're involved?
Every engagement begins with a mutual NDA. We work exclusively through your communication channels, use your branding on all deliverables, and never make direct contact with your clients unless explicitly authorized. All documentation, code comments, and handover materials are presented under your agency name.
What types of AI applications do you productionize?
We work with Python-based ML pipelines, LLM-powered applications, AI automation scripts, custom API integrations, and AI-assisted eCommerce or workflow tools. If your client built it with an AI tool and needs it deployed reliably in production, we can audit, refactor, and ship it, regardless of the original stack.
How does pricing work for white-label engagements?
Pricing depends on scope, codebase size, infrastructure complexity, integration requirements, and timeline. Most agencies mark up our rates and present a unified project price to their client. We provide transparent, project-based quotes so you can calculate your margin before committing. No retainer required to start.
What's the typical timeline from kickoff to deployment?
Small code audits and refactoring projects typically complete in 2-4 weeks. Full productionization including cloud deployment and CI/CD setup runs 4-8 weeks depending on complexity. We work in defined sprints with weekly progress updates so you always know exactly where the project stands.