Custom AI, built end-to-end
When off-the-shelf doesn't fit, we architect, build and operate custom AI infrastructure. Pilot in four weeks, production in twelve.
Architecture, build, and operate — end to end
Custom AI systems are exactly that: custom. We do the full lift, from technical scoping through deployment and on-call operations. You get a working system, full source code, infrastructure-as-code and the option of having us continue to operate it. No vendor lock-in. No mystery boxes.
Every system is tailor-made to your data model, your workflows and your compliance constraints. We don't have a product to fit you into.
- Technical discovery and architecture design
- Custom pipelines, agents, integrations and APIs
- Cloud, dedicated cloud or on-premises deployment
- Source code, IaC and full documentation delivered to you
- Production operations and on-call coverage with SLAs
- Direct line to engineering — not an account manager
- Week 1-4: working pilot proving the highest-risk technical assumption
- Week 5-12: production build, hardening and integration
- Weekly demos throughout — no surprise reveals at the end
- SOC 2-aligned engineering practices, on-prem option for regulated workloads
- Hand-off to your team or ongoing operation by ours — your call
From pilot to production in 90 days
We don't believe in 12-month builds. Working pilot in 4 weeks, production system in 12. The pilot is scoped tight on purpose: prove one critical thing against your real data, then expand. If we can't deliver a viable pilot in 4 weeks, we tell you in week 1 — better to kill a project early than burn months on a build that won't ship.
Once in production, we operate the system with monitoring, on-call and weekly health reporting — or hand it cleanly to your engineering team.
Nothing here is templated
When off-the-shelf doesn't fit, the answer isn't a slightly different off-the-shelf tool. It's a system designed around your specific data, your specific constraints and your specific success criteria. Every Custom AI Systems engagement starts with hard technical scoping: what's the actual problem, what data do you have, what's the failure mode, what does success look like in numbers.
We routinely tell prospects to buy a SaaS tool instead of building. If a vendor already solves your problem well, custom is the wrong answer. We only build when bespoke is genuinely the right call.
- Technical discovery scoped to your specific failure modes, not generic capability
- Architecture designed around your data model and integration constraints
- Models and pipelines selected per workload — no one-size-fits-all stack
- Compliance posture matched to your industry (GDPR, SOC 2, sector-specific)
- Hand-off model designed up front — managed by us, your team, or hybrid
A good fit if
- You have a workflow or capability that no off-the-shelf tool handles well
- Your data model is unique, regulated, or strategically sensitive
- You have technical leadership who can engage with architecture decisions
- You want to own the IP and the system, not rent another vendor
- Your problem is well-defined enough to scope into a 4-week pilot
Not the right fit if
- An existing SaaS tool already solves your problem (we'll tell you to buy it)
- You can't articulate the success criteria — "AI somewhere" is not a project
- You have no engineering oversight available to engage during build
- You expect a fixed-bid 12-month build with all requirements locked on day 1
- You want the cheapest possible answer over the right answer
From pilot to production system
- Week 1 — Technical discovery. Architecture, data audit, identifying the highest-risk assumption and the success metric for the pilot.
- Weeks 2-4 — Pilot build. Tight scope, real data, weekly demos. End of week 4: working proof against the success metric.
- Weeks 5-8 — Production architecture. Hardening, scaling, security, integration with your existing systems.
- Weeks 9-11 — Build and integration. Production system built and connected. Internal QA against real-world load.
- Week 12 — Production launch. System live. Monitoring, on-call and SLAs in place. Source code and docs delivered.
- Ongoing — Operate or hand off. Either we run it for you with monthly health reporting, or we transition cleanly to your engineering team.
Things buyers ask before signing
When should we build custom AI vs buy something off-the-shelf?
If a SaaS tool already does what you need, buy it. We only build when off-the-shelf doesn't fit — unique data models, regulated environments, workflows no vendor supports, or strategic capability you don't want to outsource. Our first call is honest about whether you actually need a custom system; we routinely tell prospects to buy instead of build.
Who owns the IP and the code?
You do. Every system we build is delivered with full source code, infrastructure-as-code, documentation and architecture diagrams. You own it from day one. We can keep operating it for you, or hand it to your engineering team — your call.
What about deployment — cloud, our cloud, or on-premises?
All three are options. Default is a managed deployment we operate for you. Many enterprise clients prefer their own AWS, GCP or Azure account so data never leaves their environment. For regulated industries we run on-premises with air-gapped models if required.
How do you actually deliver in 4 weeks for the pilot?
Tight scope. The pilot proves one specific capability against your data, not the full production system. We pick the highest-risk technical assumption and prove it works before scaling. If we can't deliver a working pilot in 4 weeks, we tell you in week 1 — better to kill a project early than burn six months on a build that won't ship.
Are you SOC 2 ready?
Our build practices follow SOC 2 controls — least-privilege access, audit logging, secrets management, infrastructure-as-code. We're working toward our own Type II audit. For enterprise clients with hard compliance requirements, we deploy in your environment so your existing SOC 2 perimeter applies.
What does it cost?
Custom systems are scoped per project. Pilots typically run €15,000 to €40,000 fixed-fee for a 4-week engagement. Production builds depend on scope; most land between €60,000 and €200,000 for the build phase, with monthly operational fees if we keep running it. We share an exact quote after technical scoping in week 1.
Other things our agents run
- Internal AI copilots — once the system is in production, plug it into Slack, Notion and your CRM so the whole team can use it.
- AI marketing automation — bespoke pipelines that feed marketing agents the data they need to personalize at scale.
- Custom AI vs off-the-shelf SaaS — when bespoke wins and when to just buy SaaS.
Ready to see what we'd build for you?
Take the 2-minute AI test. We'll send back a tailored plan within 24 hours.