Build
AI Development & Integration
From LLM-powered workflows to predictive analytics — we build production-grade AI systems that solve real business problems, not science projects.
AI hype is everywhere. Production AI is rare.
Most AI initiatives stall in proof-of-concept. The gap between a demo and a reliable, scalable production system is enormous — data quality, latency, cost control, governance, and integration with existing workflows. CBM bridges that gap. We engineer AI systems that work in the real world, not just in notebooks.
87%
of AI projects never make it to production
5×
faster decision-making with predictive analytics
60%
cost reduction through intelligent automation
What We Deliver
End-to-end AI engineering
From use-case discovery to production monitoring — we design, build, and operate AI systems that deliver measurable business outcomes.
LLM Integration & Fine-Tuning
OpenAI, Anthropic, Mistral, or open-source models — integrated into your workflows with guardrails, prompt engineering, and domain-specific fine-tuning.
RAG Pipelines
Retrieval-Augmented Generation systems that ground LLM responses in your proprietary data — accurate, auditable, and hallucination-resistant.
Computer Vision
Object detection, image classification, OCR, and video analytics — deployed on edge or cloud for real-time processing at scale.
Predictive Analytics
Time-series forecasting, churn prediction, demand planning, and anomaly detection — turning historical data into actionable foresight.
AI Agents & Automation
Autonomous agents that reason, plan, and execute multi-step workflows — from customer support to internal operations.
Responsible AI & Governance
Bias auditing, explainability frameworks, data privacy compliance, and model monitoring — AI you can trust and defend.
How We Work
From use-case to production in weeks
Use-Case Discovery
We identify where AI creates real business value — not where it sounds impressive. ROI modelling, data readiness assessment, and feasibility analysis.
Data & Model Strategy
Data pipeline design, feature engineering, model selection, and evaluation criteria — all defined before training begins.
Build & Validate
Iterative model development with rigorous evaluation. Prompt engineering, fine-tuning, RAG indexing, or custom training — whatever the use case demands.
Deploy & Monitor
Production deployment with CI/CD for models, A/B testing, drift detection, and performance dashboards. Your AI stays accurate over time.
Technology
Model-agnostic. Outcome-driven.
We pick the right model and stack for the job — not the most hyped. Here's what we work with most.
LLMs
- OpenAI GPT-4o
- Anthropic Claude
- Mistral
- Llama
- Gemini
Frameworks
- LangChain
- LlamaIndex
- Haystack
- Semantic Kernel
ML / DL
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face
Vector DBs
- Pinecone
- Weaviate
- Qdrant
- pgvector
MLOps
- MLflow
- Weights & Biases
- SageMaker
- Vertex AI
Data
- Spark
- dbt
- Airflow
- Snowflake
- BigQuery
Ready to put AI to work?
Tell us about your use case. We'll assess feasibility, propose an architecture, and give you a realistic roadmap — no obligations.