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AI & Automation · Rasa Chatbot Development
Rasa — open-source AI you own and control.
Rasa AI development services delivering custom NLP pipelines with Rasa, Rasa Pro implementation, and on-premise deployment for enterprises that need full control over their chatbot infrastructure, data, and conversation models.
Rasa AI development services
Enterprise Rasa chatbot solutions
CALM architecture development
Custom NLP pipelines with Rasa
On-premise infrastructure
Rasa Pro implementation partner
100%
On-premise deployment
Complete data sovereignty — nothing leaves your infrastructure.
50+
NLU components
Modular pipeline with 50+ pre-built and custom components.
95%+
NLU accuracy
Train custom intent models on your domain data.
500K+
Users served
Battle-tested in banking, healthcare, and government.
Why MetaDesign
Rasa certified development agency for on-premise conversational AI.
Hire Rasa developers — open-source conversational AI company delivering self-hosted, fully customisable solutions with zero vendor lock-in.
01
Data Sovereignty
As a Rasa Pro implementation partner, we deploy Rasa entirely on your infrastructure — no conversation data leaves your network. Essential for banking, healthcare, and government.
02
Custom NLU Pipeline
We build custom NLP pipelines with Rasa featuring domain-specific entity extraction, intent classifiers, and response selectors tailored to your use case.
03
Full Control
Enterprise Rasa chatbot solutions give you full control over model training, CALM architecture development, conversation flow, and infrastructure — no vendor lock-in.
Banking Chatbot
Hire Rasa developers who build on-premise chatbots for account queries, transaction history, and fraud alerts — meeting banking data residency requirements.
Healthcare Assistant
HIPAA-compliant patient engagement bot with symptom triage and appointment booking — all data on-premise.
Government Services
Rasa AI development services for citizen-facing chatbots handling permit applications, tax queries, and service requests — deployed on government cloud.
Internal Helpdesk
IT support and HR chatbot running inside your firewall — zero external API calls.
Our approach
Five stages, paired end-to-end.
Predictable delivery. No black-box sprints.
01
Assess
Evaluate use case, data requirements, and infrastructure for Rasa deployment.
02
Design
Conversation flows, intent taxonomy, entity extraction, and response templates.
03
Train
Custom NLU model training with your domain data and iterative accuracy improvement.
04
Deploy
On-premise or private cloud deployment with Docker/Kubernetes.
05
Improve
Conversation-driven development using real user interactions to improve the model.
Customer value
Six places it pays back in the first sprint.
Real outcomes our clients report within the first engagement cycle.
Faster time-to-market
Production-ready teams that ship from week one — no ramp-up lag.
Reduced technical risk
Architecture reviews, code audits, and security scans baked into every sprint.
Measurable velocity
Cycle time, PR throughput, and defect density tracked from day one.
Cost predictability
Fixed-price or capped T&M — no surprise invoices, ever.
Continuous improvement
Retros, post-mortems, and process refinement every sprint.
Knowledge transfer
Your team grows. Documentation, pair programming, and workshops included.
Technology
Tools our rasa chatbot developers ship with.
We use what works. No vendor lock-in.
Rasa Open SourceRasa ProRasa XPythonspaCyTransformersDIET ClassifierDockerKubernetesRedisPostgreSQLREST APIWebhooksSocket.IOCustom Channels
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our Rasa Chatbot Development team.
Scale up, scale down — zero procurement headaches.
Fixed-scope project
Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.
BEST FORNew product launches
Dedicated team
A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.
BEST FORLong-running platforms
Staff augmentation
Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.
BEST FORCapacity gaps & sprints
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
Our Rasa AI development services deploy Rasa on your infrastructure — no conversation data sent to third parties. Essential for regulated industries. You also get full control over NLU models, no per-message pricing, and no vendor lock-in.
Yes. As a Rasa Pro implementation partner, we deploy enterprise Rasa chatbot solutions used by Deutsche Telekom, Adobe, and major banks. With proper infrastructure (Kubernetes, Redis, PostgreSQL), it handles millions of conversations.
Yes. We build hybrid architectures using CALM architecture development — Rasa handles intent routing and conversation management while LLMs generate dynamic responses for open-ended queries.
Basic FAQ bot: 3-4 weeks. Complex multi-domain assistant with custom NLP pipelines: 6-10 weeks. Hire Rasa developers from MDS and we deliver iteratively with conversation-driven development.
CALM (Conversational AI with Language Models) Architecture merges traditional intent-based routing with LLM flexibility. This allows the bot to handle unpredictable user inputs gracefully while maintaining strict adherence to business logic.
A certified Rasa Pro implementation partner has proven expertise in deploying complex, scalable, and secure enterprise chatbots, ensuring you maximize ROI and avoid costly architectural mistakes.
Yes. One of Rasa's greatest strengths is data privacy. Our Rasa AI developers can deploy the entire conversational AI infrastructure strictly on-premise or within your secure private cloud.
We utilize Retrieval-Augmented Generation (RAG) alongside custom entity extraction models in Rasa to ensure the chatbot grounds its responses exclusively in your secure, proprietary enterprise knowledge base.
Maintenance involves continuously reviewing conversation logs, refining NLU training data, updating fallback actions, and retraining models to improve accuracy as user behavior evolves.
Yes, Rasa's contextual dialogue management allows the bot to remember past interactions, manage context switching, and execute complex, multi-step transactions seamlessly.
Deploy Rasa chatbots on your own infrastructure.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.