Context Studios
Context Studios
Lösungen
Services
Pricing
PortfolioOur ProcessAboutBlogFAQ
  1. Home
  2. AI Agents
Context Studios

AI-Native Development Studio

Berlin, Germany

Stay Ahead in AI Development

Get insights on AI-first development, startup tips, and exclusive offers

Packages & Pricing

  • Starterfrom €2,000
  • Fast Trackfrom €18,000
  • Enterpriseon request
  • All Packages →

Services

  • SaaS Setup
  • MVP Development
  • Mobile Apps
  • AI Agents
  • API Development
  • Chatbots
  • All Services →

Solutions

  • CRM Systems
  • E-Commerce
  • Booking Systems
  • Project Management
  • Analytics & Dashboards
  • All Solutions →

Berlin

  • AI Agency Berlin
  • AI Development Berlin
  • AI Development Services
  • Custom Software
  • Chatbot Development
  • AI Consulting Berlin
  • AI Automation

Company

  • About Us
  • Portfolio
  • Our Process
  • FAQ
  • AI Glossary
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Impressum
  • Cancellation Policy
  • Do Not Sell
For whom:
StartupsSMBEnterpriseCEO & FounderCTOMarketing Manager
Industries:
Trades & ConstructionHealthcare & CareAutomotiveRetailHospitality & GastronomyAll Industries →
Comparisons:
Context Studios vs FreelancerContext Studios vs AgencyCustom vs SaaSInhouse vs OutsourcingMVP vs Full ProductGermany vs OffshoreAI-Native vs TraditionalNo-Code vs CustomAll Comparisons →
XLinkedInGitHubInstagramFacebook
REVIEW USON DESIGNRUSH
FEATURED ONGOODFIRMS
REVIEW USON CLUTCH
Copyright © 2026 Context Studios UG (haftungsbeschränkt). All Rights Reserved.
Solutions

AI Agent Development

From Manual Processes to Autonomous Workflows

Our AI agents handle research, analysis, and documentation – with full control through Human-in-the-Loop.

4-8 Weeks
To production
Production Ready
Enterprise quality
Scalable
Grows with you
Multi-Agent
RAG Systems
Automation
MCP Protocol

Multi-Agent

Specialized agents working in coordination

RAG Systems

Intelligent use of your document knowledge

Automation

Workflows executed automatically

Built with cutting-edge AI technologies

Seamlessly Integrated

AI Models

Claude Opus 4.5
OpenAI o3/o4-mini
Gemini 3

Agent SDKs

Claude Agent SDK
LangGraph
OpenAI Agents
Google ADK
LlamaIndex
AutoGen

Frameworks

MCP
A2A
CrewAI
PydanticAI

Vector DBs

Pinecone
Weaviate
Qdrant
Milvus

Infrastructure

Convex
Supabase
Vercel
Understanding AI Agents

What Sets AI Agents Apart from Chatbots?

An AI agent is like a digital employee who independently completes tasks – not just answering, but acting, learning, and connecting with other systems.

Chatbot

Answers questions based on predefined rules or training.

Understanding AI Agents

  • FAQ Bots
  • Customer Service Chat
  • Order Status Queries
Reactive – waits for input

AI Agent

Acts autonomously: researches, decides, and executes actions.

Understanding AI Agents

  • Research Assistant
  • Data Analysis
  • Document Processing
Proactive – works independently

Multi-Agent System

Multiple specialized agents work together on complex tasks.

Understanding AI Agents

  • Content Pipelines
  • Due Diligence
  • Automated Reports
Orchestrated – like a team
Simple
Complex

Manual Processes Are Holding Back Your Growth

Do you recognize these challenges in your organization?

BEFORE

Hours spent searching through documents, emails, and systems – time that could be used for strategic work.

WITH AI AGENTS

Research Agent finds and analyzes relevant information in seconds instead of hours.

BEFORE

Important information is stuck in silos – hard to find, difficult to use, and often outdated.

WITH AI AGENTS

RAG system makes your enterprise knowledge instantly searchable and contextually accessible.

BEFORE

Repetitive tasks consume 40% of work time – data entry, reports, follow-ups.

WITH AI AGENTS

Automation workflows handle routine tasks reliably, quickly, and error-free.

How It Works

Multi-Agent Orchestration

A network of specialized AI agents working together like a perfectly coordinated team

A central supervisor coordinates everything

Supervisor
Research
Analysis
Writer
RAG Agent
Task Agent
Action Agent
Code Agent
Data Agent
Communication
73%
less manual work
4.2x
faster than before
24/7
Availability
AURA Framework

The AURA Framework

Our proven methodology for successful AI agent development

A
A

Agent Strategy

Definition of agent architecture, roles, and responsibilities for safe, controlled autonomy.

Core Capabilities

  • Single & multi-agent architectures
  • Supervisor orchestration patterns
  • Human-in-the-loop controls
Foundation
U
U

Understanding & Knowledge

Integration of enterprise knowledge through RAG and vector databases.

Core Capabilities

  • RAG implementation
  • Vector database integration
  • Hybrid search (semantic + keyword)
Knowledge
R
R

Reasoning & Integration

Intelligent decision-making through chain-of-thought and tool integration.

Core Capabilities

  • Chain-of-thought prompting
  • MCP tool integration
  • Structured output generation
Intelligence
A
A

Automation Workflows

Orchestration of end-to-end processes with reliable 24/7 operation.

Core Capabilities

  • LangGraph & CrewAI workflows
  • Error handling & retry logic
  • Real-time monitoring
Execution

AURA stands for Agent → Understanding → Reasoning → Automation. These four pillars form the foundation of every successful AI agent project.

Workflow Types

Workflow Types

Three approaches for different requirements

Multi-Agent Orchestration

Multiple specialized agents coordinated by a supervisor. Ideal for complex tasks requiring different capabilities.

Use Cases

  • Complex Research
  • Content Pipelines
  • Data Analysis
ComplexityHigh

Beispiele

Blog + Social Media Content PipelineDue Diligence Automatisierung für VCsAutomatische Marktanalysen & ReportsMulti-Channel Kampagnen-Orchestrierung
Claude Agents SDKOpenAI Agents SDKLangGraphCrewAI

RAG & Knowledge Agents

Agents with access to your proprietary knowledge. Combines LLM capabilities with your enterprise database.

Use Cases

  • Customer Support
  • Internal Search
  • Document Analysis
ComplexityMedium

Beispiele

Intelligenter Kunden-Support BotInterne Wissensdatenbank mit ChatVertrags- & DokumentenanalyseProdukt-FAQ & Beratungsassistent
Vector DBsLangChainPineconeWeaviate

Automation Workflows

Task-specific agents with tool calling. Automate recurring processes with intelligent decision-making.

Use Cases

  • Process Automation
  • Data Processing
  • Reporting
ComplexityLow-Medium

Beispiele

Automatische RechnungserstellungCRM-Datenpflege & Lead-ScoringE-Mail-Klassifizierung & RoutingReporting & Dashboard-Updates
MCP ServersAPIsConvexn8n

Automation Workflows

Task-specific agents with tool calling. Automate recurring processes with intelligent decision-making.

Use Cases

  • Process Automation
  • Data Processing
  • Reporting
ComplexityLow-Medium

Beispiele

Automatische RechnungserstellungCRM-Datenpflege & Lead-ScoringE-Mail-Klassifizierung & RoutingReporting & Dashboard-Updates
MCP ServersAPIsConvexn8n

RAG & Knowledge Agents

Agents with access to your proprietary knowledge. Combines LLM capabilities with your enterprise database.

Use Cases

  • Customer Support
  • Internal Search
  • Document Analysis
ComplexityMedium

Beispiele

Intelligenter Kunden-Support BotInterne Wissensdatenbank mit ChatVertrags- & DokumentenanalyseProdukt-FAQ & Beratungsassistent
Vector DBsLangChainPineconeWeaviate

Multi-Agent Orchestration

Multiple specialized agents coordinated by a supervisor. Ideal for complex tasks requiring different capabilities.

Use Cases

  • Complex Research
  • Content Pipelines
  • Data Analysis
ComplexityHigh

Beispiele

Blog + Social Media Content PipelineDue Diligence Automatisierung für VCsAutomatische Marktanalysen & ReportsMulti-Channel Kampagnen-Orchestrierung
Claude Agents SDKOpenAI Agents SDKLangGraphCrewAI
Enterprise Security

Security & Privacy

We develop with security as a top priority

Privacy-Aware

Privacy-Aware

Encryption

Encryption

EU-Based

EU-Based

Flexible Deployment

Flexible Deployment

Vendor-Independent

Vendor-Independent

Scalable

Scalable

Logging

Logging

Best Practices

Best Practices

Security and privacy are integral parts of our development.

Measurable Results

What our AI agent projects achieve

Live
Updated in real-time
+5%
0%

Reduction in manual processing

Industry avg: 45Your result
+7%
0x

Faster research workflows

Industry avg: 3Your result
+17%
0%+

ROI improvement

Industry avg: 15Your result
+5%
0%

Accuracy in routine tasks

Industry avg: 85Your result

Based on Gartner, G2, and industry reports 2025-2026

Industries

Industry-Specific Applications

AI agents for every industry

Marketing Agencies

Multi-Agent

Campaign briefs to multi-channel content in brand voice

4xContent output

Enterprise

RAG Agent

Company-wide compliance review of contracts and policies

65%Process automation

Crafts & Construction

Automation

Automatic quote generation from blueprints and specifications

60%Time saved

Healthcare

RAG Agent

Patient record analysis with automated care plan recommendations

85%Accuracy

Hospitality

Automation

Smart reservation management with automatic table optimization

40%Efficiency increase

Use arrow keys to navigate • Hover to pause

What We Deliver

We develop the next generation of AI agents based on Claude Opus 4.5 and GPT-5.2. Our solutions use the Model Context Protocol (MCP) for seamless, secure tool integration. Your agents can interact with CRM, ERP, databases, and external services – with full traceability of every decision.

Perfect For

For companies ready to resolve operational bottlenecks through real digital workforce. Ideal for scaling complex research and analysis workflows or intelligently automating recurring processes.

Key Features

  • Intelligent
  • Autonomous
  • Integrated
  • Scalable

A professional solution that meets all these requirements and moves your business forward.

Choose Your Implementation Path

Three proven paths to success - tailored to your requirements

Simple AI agents productive in just 4-8 weeks

Assessment & Discovery

Week 1-2

Deep analysis of your requirements and system landscape

Stakeholder InterviewsSystem Audit & Gap AnalysisDetailed Requirements Doc

Workshop & Architecture

Week 3-4

Collaborative design and technical architecture planning

Design Thinking WorkshopSolution ArchitecturePrototype & Wireframes

Development Phases

Week 5-12

Iterative development in sprints with regular reviews

Sprint-based DevelopmentBi-weekly Demo & ReviewsContinuous Integration

Testing & QA

Week 13-14

Comprehensive quality assurance and user acceptance testing

Automated Testing SuiteSecurity AuditUser Acceptance Testing

Launch & Scale

Week 15-16

Production launch, training and long-term support

Staged RolloutTeam TrainingSLA-backed Support
Learn more about pricing
Our Development Expertise

How Context Studios Develops Your Solution

Three proven paths - tailored to your requirements

Proven SaaS Tools

HubSpot, Notion, Airtable, Make & more

Custom Configuration

Tailored to your processes

Workflow Automation

Reduce manual work by 80%

Quick Start

Ready in 1-2 weeks

No Development Risk

Proven tools instead of custom code

Training & Support

Your team gets trained and supported

You might also be interested in

Discover related topics and solutions for your requirements

Customer Support
FAQ

Frequently Asked Questions About AI Agents

Everything you need to know about AI agent development

Have more questions? Contact us

Glossar

Glossary: AI Agent Terms

Key technical terms explained clearly

47consultations this week
Ready to Start

Ready for Intelligent Automation?

Let's find out together which AI agent approach is right for your business.

Response within 24h
Free initial consultation