Say yes to the technical work your clients keep asking for.
Your clients trust you with strategy, marketing or operations, and now they want AI, integrations and custom software too. We act as your senior technical and AI delivery team, white-label or alongside you, so you can win and deliver that work without building an engineering department.
Every client now asks about AI. Not every firm can deliver it.
Management consultancies recommend automation and then need someone to build it. Marketing agencies are asked for AI content tools, chatbots and data integrations. Accounting and advisory firms want to offer systems work alongside their core service. The demand is arriving faster than most firms can hire for it.
The usual responses all carry risk. Turning the work down sends the client to a competitor who may keep them. Handing it to a freelancer you found last month puts your reputation in the hands of someone you cannot vouch for. Hiring engineers for a pipeline that might not last is slow and expensive.
A dependable technical partner lets you keep the client relationship and the margin, while engineers with long experience of shipping software and AI products take responsibility for delivery.
Technical and AI capability you can put your name to
We can stay invisible, appear as part of your team, or join client meetings as a named specialist. You choose, engagement by engagement.
Pre-sales technical input
Help shaping proposals, estimating effort and answering awkward technical questions in pitches, so nobody overpromises.
AI solution delivery
Assistants, document processing, workflow automation and AI features inside client systems, from proof of concept to production.
Custom software builds
Client portals, internal tools, integrations and web apps delivered by AI-native engineers, which keeps timelines and your costs tighter.
Independent technical reviews
Assessments of a client's existing systems, vendors or codebase, written for their audience and in your report format.
Specialist cover
A senior architect or AI engineer for one phase of a larger engagement, without adding a permanent salary to your firm.
AI fluency for your consultants
Practical sessions on how AI projects really run, so your people spot good opportunities and scope them realistically.
White-label partner, freelancers or an in-house team?
Each can work. The right choice depends on how steady your technical pipeline is and how much delivery risk your firm can carry.
| Freelancers | In-house engineers | White-label technical partner | |
|---|---|---|---|
| Cost structure | Hourly or per project | Salaries whether or not work is sold | Per engagement or monthly |
| Senior oversight | Depends on the individual | Only if you hire it | Included in every project |
| AI delivery experience | Hard to verify | Takes time to build | Core part of the offer |
| Continuity if someone leaves | Low | Moderate | The partner's responsibility |
| Scales with your pipeline | Partly, with more vetting | Slowly | Yes, up and down |
| Client relationship | Usually yours | Yours | Yours, under your brand if you prefer |
What to check before putting a technical partner in front of your clients
Your reputation carries whatever the partner delivers. Ask any white-label provider, including us, to answer these clearly before the first project.
Who actually does the work?
Named senior people who stay on the project, rather than a sales lead followed by whoever happens to be free that month.
How do they use AI in delivery, and who reviews it?
AI-first delivery should mean faster, leaner projects with senior review on every change. Ask to see the process, and whether the efficiency shows up in their pricing to you.
What happens to client data and AI tools?
Which AI services may touch client code or documents, under what terms, and how that fits your own confidentiality commitments.
Will they tell you when an idea is a bad one?
A partner who agrees to every client request makes the pitch easier and the delivery harder. You want candour before the contract is signed.
Who owns the code and accounts at the end?
Repositories, cloud accounts and IP should end up with the client or with you, as agreed, never stranded with the partner.
How a white-label engagement runs
The process is deliberately simple so it fits around your existing client governance and reporting.
Share the opportunity
Tell us about the client need under NDA. We come back quickly with feasibility, risks and a realistic effort range you can price from.
Agree roles and branding
Decide who owns the client relationship, how we appear, how communication flows and how commercial terms work between us.
Deliver with your team
Our engineers build AI-first with parallel coding agents and senior review, report progress in your format, and join client meetings only when you want them there.
Hand over cleanly
Code, documentation and accounts transferred to the client or to you, with support arrangements agreed in advance so nothing is left orphaned.
Questions we often hear
What is a white-label software development partner?
A white-label partner designs and builds software that you deliver to clients under your own brand. The client relationship stays with you, while the partner provides the engineering, technical leadership and delivery. It lets consultancies and agencies offer technical services without building a development team of their own.
Can you deliver AI projects for our clients under our brand?
Yes. We can structure the work so our engineers appear as part of your delivery team or stay entirely behind the scenes. That covers AI assistants, document processing, workflow automation and generative AI features, with clear agreements on confidentiality and which AI tools may be used on client data.
How do you protect our client relationships?
We are happy to sign NDAs and non-solicitation terms before any client details are shared. Communication follows the structure you set, deliverables follow your standards, and we do not pitch for work with your clients behind your back.
How should agencies price white-label development work?
Most firms either add a margin to the partner's price or bundle the technical work into a wider fixed-fee engagement. Either way, get a clear scope and effort estimate first. AI-native delivery typically reduces build effort, which gives you room to price competitively while protecting your margin.
What if a client project is outside your expertise?
We will say so early, before you commit anything to the client. Where we can, we will point you towards people better suited to the work, because a lost opportunity is cheaper for both of us than a failed project.
Related reading and tools
Tell us what your clients are asking for.
Share the kind of technical or AI work coming through your pipeline and how you would like to deliver it. We will reply within 24 hours with how a partnership could work.
Working with companies globally · Response within 24 hours