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Custom AI from Berlin

Custom AI Development

Custom AI development pays off when off-the-shelf tools cannot handle your processes, data or quality standards. Context Studios, an AI-native development studio in Berlin, builds tailored AI systems that use your domain knowledge and internal data, fit into your existing software and come with exclusive rights of use for you.

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Curved exposed-concrete spiral staircase with a patinated copper handrail, photographed from belowAI-generated image
AI-native development studio in BerlinTailored, not off-the-shelfExclusive rights of use (T&C section 5)Agile development with weekly demos
  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support

Fixed price after scoping · proposal within 48 h

Last updated:

(01)

What does custom AI development mean?

AI service

Custom AI development is the design and implementation of AI systems built specifically for a company's processes, data and quality requirements. Unlike generic AI tools, it combines modern language models with your domain knowledge and systems, creating a solution that competitors cannot simply buy.

Specialisation
Custom AI systems, domain-specific models, specialised applications
Technologies
Claude, GPT, fine-tuning, RAG, prompt engineering, Convex
Target group
Companies with specific processes that no standard tool covers
Project duration
Typically 6–16 weeks depending on the degree of customisation
Compliance
GDPR-compliant, data sovereignty stays with the client, auditable

AI software developmentAI product developmentAI consultingEnterprise AI development

(02)

Why does tailored AI make the difference?

Six advantages over standard solutions

(01)

A precise fit for your processes

Standard tools force you to adapt your processes to the software. Tailored AI reverses this: the technology adapts to your workflows. That is why employees accept it faster.

(02)

Integration of your company data

Tailored AI uses data no standard AI knows: ERP data, CRM histories, internal knowledge bases and your own documents, so the AI truly understands your business.

(03)

Full data sovereignty and control

Your data stays under your control and is not used to train third-party models. You decide where data is stored and processed, which matters for regulated industries.

(04)

Precise model configuration

We match model choice, system roles, parameters and chain-of-thought strategies exactly to your use case and increase accuracy through systematic prompt engineering and testing.

(05)

Competitive advantage through your own AI

Competitors can buy the same standard tool, but not your tailored AI. Combining your domain knowledge with our technical implementation creates a solution that is hard to copy.

(06)

Iterative improvement

Feedback loops, usage data and regular model updates make the solution more precise over time. Automated evaluation pipelines keep quality transparent at all times.

(03)

How does a custom AI project work?

  1. (01)

    Initial call

    A free 30-minute video call with Michael Kerkhoff. We get to know your project, assess where AI adds value and give you a first estimate of feasibility, effort and timeframe.

    Step 1
  2. (02)

    Proposal & planning

    A detailed feature breakdown, a technical architecture plan and a written proposal covering scope, schedule and a fixed price.

    Step 2
  3. (03)

    AI-accelerated development

    Agile development with weekly demos and production-ready code backed by automated tests. Goal: a working MVP in about 4 weeks.

    Step 3
  4. (04)

    Launch & operation

    Production deployment with complete documentation and handover. 30 days of free bug fixing from final delivery; maintenance and further development by agreement.

    Step 4

Questions about custom AI development

(01)When is tailored AI worth it compared with standard tools?
Tailored AI is worth it when your use case requires expertise no standard tool has, when internal data must not be uploaded to third-party cloud services, when you want to stand out from competitors with your own AI, or when standard tools simply do not reach the quality you need.
(02)Doesn't tailored AI cost much more than a SaaS solution?
The upfront investment is higher, but in the long run often not: a tailored solution fits your processes exactly, and you receive the exclusive rights of use under section 5 of our terms, with no per-user licence fees. Ongoing costs are limited to hosting and API usage. Fixed price after scoping, proposal within 48 hours.
(03)Do I need my own training data for custom AI?
Not necessarily. Tailored AI often works with pre-trained models such as Claude or GPT. Adaptation usually happens through RAG with your documents, targeted prompt engineering and few-shot examples. Dedicated fine-tuning is only needed for highly specialised tasks or particular style requirements.
(04)How do you protect our data during development?
We work in encrypted environments, sign a confidentiality agreement on request and can develop directly within your infrastructure. We choose model providers and settings so that your data is not used to train third-party models, and we put the necessary data processing agreements in place.
(05)How do you measure the success of a custom AI solution?
Before the project starts, we jointly define measurable success criteria such as accuracy, time saved, cost reduction or user satisfaction. During development, the solution is continuously tested against these metrics. After go-live, dashboards show how quality and usage develop in day-to-day operation.
(06)Can a custom AI solution be extended later?
Yes, that is one of the biggest advantages of tailored AI: you can add features, adapt workflows or connect new data sources at any time. Our modular architecture absorbs new requirements without rebuilding the whole system, and automated tests protect existing functionality.
(07)How long does it take until the custom AI is production-ready?
The goal is a first prototype with your real data in about 3–4 weeks. The production-ready solution with all integrations is typically finished after 8–16 weeks. Thanks to the iterative approach, you often use parts of the solution during development and can give feedback early.
(08)What happens if our requirements change during the project?
The project stays flexible: priorities can be adjusted and new requirements added in every sprint review. For larger changes in scope, we prepare transparent change requests with a clear effort estimate, which you approve before we implement them. That keeps budget and schedule under control.
(09)Can the custom AI be integrated into our existing systems?
Yes. The solution connects to your existing IT environment via APIs, webhooks or direct database access and works with systems such as SAP, Salesforce, Microsoft 365, HubSpot or industry-specific software. Where no interface exists, we develop suitable connectors and secure the integration with automated tests.
(10)Do we own the code and the trained AI?
You receive the exclusive rights of use under section 5 of our terms, plus the complete source code, all configurations, prompt templates and any trained model weights. The solution runs on infrastructure of your choice. This avoids vendor lock-in and lets you develop it further with other partners too.
(04)

Technology stack for custom AI

(01)

AI & ML

Anthropic ClaudeOpenAI GPTGoogle GeminiOpen-source LLMs (Llama, Qwen, DeepSeek, Mistral)RAG & vector databases (pgvector, Pinecone, Weaviate)MCP (Model Context Protocol)Hugging Face Transformers
(02)

Web & Mobile

Next.js & ReactTypeScriptReact Native & ExpoTailwind CSSshadcn/uiVercel Edge Runtime
(03)

Backend & Data

Node.js & HonoPythonPostgreSQL & SupabaseConvex (Real-Time DB)RedistRPC & GraphQLOpenAPI
(04)

DevOps & Infrastructure

Vercel & AWSDocker & KubernetesCI/CD (GitHub Actions)OpenTelemetry & GrafanaLangfuse (LLM Monitoring)
(05)

Which industries need custom AI?

Tax advisory & auditing

Client correspondence, tax law research and analysis of annual financial statements, with systems that respect GoBD requirements and your firm's workflows.

Mechanical engineering

Technical documentation, spare part identification and maintenance instructions tailored to your machines, assemblies and error codes.

Legal advice

Contract analysis, due diligence and legal research tailored to your practice areas and quality standards.

Chemistry & materials science

Analysis of experimental data, formulation optimisation and predictions of material properties.

Media & publishing

Content AI that knows your editorial style and audience and produces drafts in your brand voice.

Public administration

Citizen services, document processing and administrative automation, aligned with BSI security standards and designed to be accessible.

(06)

Custom AI: example projects

Examples we can build for you

Mechanical engineering

Expert assistant for technical documentation

An assistant searches manuals, parts lists and service tickets and answers service technicians' questions with sources, including for older machine generations.

Source-based answers · Connected to ERP and ticketing · Goal: faster troubleshooting
Legal

Contract review assistant

A system compares contracts with a firm's model clauses and review criteria and flags deviations for review by lawyers.

Your own review criteria · Flagged deviations · Final human review
Industry & trades

AI-assisted quotation

An AI reads enquiries and plans, suggests items from your own service catalogue and hands a reviewable draft to the estimating team.

Your own service catalogue · Draft for review · ERP integration
(07)

Custom AI: consulting in Berlin

Founder AI-native since
2024
Email
info [at] contextstudios [dot] ai

Your custom AI solution starts here

Tailored AI for your use case: talk to us for 30 minutes about your requirements.