Do I need my own data to build an AI system?

Not always. Many AI systems can be built using pre-trained models with RAG (retrieval-augmented generation) using your existing documents, databases, or knowledge bases. Custom model training requires labeled data.

What AI models do you work with?

We work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3), Google (Gemini), and open-source models like Llama 3, Mistral, and Phi. We recommend the right model based on your use case, cost requirements, and data privacy needs.

How do you handle AI hallucinations?

We implement multiple guardrails: RAG to ground responses in verified data, output validation layers, confidence scoring, human-in-the-loop for high-stakes decisions, and regular red-teaming during development.

Can AI be deployed on-premise for data privacy?

Yes. For sensitive industries (healthcare, finance, legal), we can deploy open-source models on your own infrastructure so no data leaves your environment.

How much does AI development cost?

A single AI feature or chatbot starts from $20,000. A full AI automation system typically costs $40,000–$100,000. Enterprise AI platforms with custom model training start from $150,000.

How much does AI development cost?

AI development projects at Ubikon typically range from $20,000 to $200,000 depending on complexity, data requirements, and model type. A simple chatbot or recommendation engine starts around $20K, while custom computer vision or NLP pipelines with training infrastructure can reach $150K–$200K. We provide a detailed estimate after a free scoping call.

How long does it take to build a custom AI solution?

Most AI projects take 8–20 weeks from kickoff to production deployment. Timelines depend on data availability, model complexity, and integration scope. A proof-of-concept can often be delivered in 3–4 weeks so you can validate the approach before committing to a full build.

Do I need my own data to start an AI project?

Not always. We can work with public datasets, synthetic data, or pre-trained foundation models (like GPT-4o, Claude, or open-source LLMs) and fine-tune them for your use case. If you do have proprietary data, we help clean, label, and structure it for training.

What AI technologies does Ubikon work with?

We work across the full AI stack: large language models (OpenAI, Anthropic, open-source), computer vision (YOLO, MediaPipe, SAM), NLP, recommendation systems, and predictive analytics. Our infrastructure layer covers AWS SageMaker, GCP Vertex AI, and self-hosted GPU clusters.

Can you integrate AI into our existing product?

Absolutely. Most of our AI work involves adding intelligent features to existing applications — smart search, automated categorisation, fraud detection, or conversational interfaces. We design AI modules as APIs that plug into your current architecture with minimal disruption.

How do you handle AI model accuracy and monitoring?

We implement MLOps best practices from day one: automated retraining pipelines, drift detection, A/B testing for model versions, and real-time performance dashboards. You get full visibility into accuracy metrics, latency, and cost per inference.

AI Development

Custom AI Systems
That Actually Work

We build production-ready AI systems — LLM integrations, intelligent chatbots, automation pipelines, and computer vision — using GPT-4, Claude, and open-source models.

Get Free Proposal Estimate Cost

40+

AI Systems Built

99.2%

Avg Accuracy

10x

Avg Productivity Gain

$20K+

Starting From

What We Deliver

Every engagement includes these core deliverables.

LLM Integration

Custom GPT-4, Claude, Llama, and Mistral integrations with fine-tuning, RAG pipelines, and prompt engineering.

AI Chatbots & Assistants

Intelligent conversational AI with context memory, tool use, and multi-step reasoning for customer service and internal tools.

Process Automation

End-to-end automation of document processing, data extraction, classification, and workflow orchestration.

Computer Vision

Image/video analysis, OCR, object detection, and visual inspection systems built with PyTorch and TensorFlow.

Predictive Analytics

ML models for forecasting, churn prediction, recommendation engines, and anomaly detection.

AI Safety & Moderation

Content moderation, output validation, hallucination detection, and responsible AI guardrails.

Our Tech Stack

We use battle-tested technologies chosen for performance, scalability, and speed.

LLM Providers

OpenAI GPT-4Anthropic ClaudeGoogle GeminiLlama 3

ML Frameworks

PyTorchTensorFlowHuggingFaceLangChain

Vector Databases

PineconeWeaviateChromaDBpgvector

Backend

PythonFastAPINode.jsCelery

Infrastructure

AWS SageMakerGCP Vertex AIDockerKubernetes

Data

PostgreSQLMongoDBElasticsearchApache Kafka

Our Process

A proven 6-step process refined over 200+ projects. Clear milestones, no surprises.

Week 1

AI Strategy & Data Audit

Understand your use case, evaluate data quality, select the right models, and define success metrics.

Week 2

Proof of Concept

Build a working prototype to validate the approach before full development begins.

Week 3–6

Model Development

Fine-tuning, RAG pipeline setup, integration development, and iterative testing with real data.

Week 7

Evaluation & Red-teaming

Accuracy benchmarking, hallucination testing, edge case handling, and safety evaluation.

Week 8

Production Deployment

API deployment, monitoring setup, rate limiting, cost optimization, and failover handling.

Ongoing

Monitoring & Improvement

Model performance tracking, feedback loops, retraining pipelines, and cost optimization.

Transparent Pricing

No hidden costs. Fixed-price or milestone-based. You choose.

Starter AI

From $20K

6–8 weeks

Single AI feature or chatbot integration for your existing product.

LLM API integration
Custom prompt engineering
Basic RAG pipeline
REST API endpoint
Monitoring dashboard
30-day support

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LogiFlow — AI Document Processing

50,000 Documents Processed Daily at 99.2% Accuracy

"Ubikon built an AI pipeline that processes 50,000 documents daily with 99.2% accuracy. Our team productivity increased 10x."

Marcus Thompson

CTO, LogiFlow (UK)

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Frequently Asked Questions

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Custom AI SystemsThat Actually Work