AI consulting & strategy
We work with your leadership and operations teams to identify where artificial intelligence
creates measurable value, and where it does not. Deliverables typically include an opportunity
assessment, a prioritized roadmap, cost and ROI estimates, a technology recommendation and a
responsible-AI and data-governance checklist.
- AI readiness and use-case assessment
- Proof of concept and feasibility studies
- Vendor, model and platform selection
- Team enablement and training workshops
Custom AI & machine learning models
When off-the-shelf tools are not enough, we build models on your own data: demand forecasting,
churn and risk scoring, recommendation, anomaly detection, computer vision and document
understanding. We handle the full lifecycle, from data preparation and training to deployment,
monitoring and retraining.
- Data preparation, labeling strategy and feature engineering
- Model training, evaluation and explainability
- MLOps: versioning, deployment pipelines and drift monitoring
LLM, chatbot & AI agent integration
We connect large language models to your business systems so they answer with your own
information instead of generic content. Typical projects include customer support assistants,
internal knowledge assistants, document processing pipelines and multi-step agents that
complete tasks in your applications.
- Retrieval-augmented generation (RAG) over your documents and databases
- Agent workflows, tool calling and system integrations
- Prompt engineering, evaluation harnesses and quality guardrails
- Cost, latency and privacy optimization, including self-hosted models
Custom software development
Full-cycle product and application development: discovery, UX, architecture, implementation,
QA and release. We build web applications, REST and GraphQL APIs, system integrations and
internal tools, primarily with .NET, TypeScript and Python.
- Web applications and customer portals
- APIs, integrations and legacy modernization
- Automated testing and code quality practices
Cloud & DevOps
We design, migrate and operate cloud environments on Microsoft Azure, AWS and Google Cloud,
with an emphasis on reliability, security and predictable cost.
- Cloud architecture and migration
- Containers, Kubernetes and serverless workloads
- CI/CD pipelines and infrastructure as code
- Observability, backups and cost optimization
Data engineering & analytics
Good AI starts with good data. We build the pipelines, warehouses and models that consolidate
information from your operational systems, and the dashboards that make it useful day to day.
- ETL/ELT pipelines and data integration
- Data warehouses, lakehouses and dimensional models
- Business intelligence dashboards and reporting
- Data quality, lineage and governance
