We build it with you.

Reports disagree because every team pulls data its own way. Pipelines fail quietly, and nobody is sure which number is right.

We design the data model, build tested pipelines that load on a schedule or in real time, and set up a warehouse or lakehouse your analysts can query directly.

• Pipelines from your source systems to one platform
• A documented data model
• Data quality checks with alerts
• Clean datasets ready for dashboards and analysis

• Python
• SQL
• Apache Spark
• Databricks
• Azure Data Factory
• Snowflake
• dbt
• Airflow

Your teams want AI to answer questions and draft work, but public chat tools do not know your data and cannot be trusted with it.

We build assistants and automations on large language models, grounded in your documents and systems, and tested against real cases before anything reaches your users.

• Assistants that answer from your own documents
• Automation for documents, email and repetitive review work
• Test sets and guardrails, so quality is measured
• Classical machine learning models where they fit better

• Python
• LLM APIs
• Retrieval (RAG)
• Vector databases
• FastAPI

Your process lives in spreadsheets and tools that almost fit. People copy data between them, and mistakes follow.

We map how the work is really done, then design and build a web application around it, with the backend, integrations and cloud setup it needs. We stay on to maintain it if you want.

• Web applications for your team or your customers
• Backend services and APIs
• Cloud setup and deployment
• Ongoing maintenance and support

• TypeScript
• React
• Next.js
• Node.js
• Python
• PostgreSQL
• AWS
• Azure

You are about to make a technology decision that is expensive to reverse, and the advice you are getting comes from people selling one of the options.

We review what you have, talk to the people who run it, and give you a written recommendation with the trade-offs stated plainly. We also manage systems on your behalf where that is the better answer.

• Architecture review
• Technology roadmap
• Build-or-buy assessment
• Cost and risk review

The monthly report takes days because someone exports, cleans and merges files by hand. It arrives late and still has errors.

We convert and clean your data once, then automate the steps so the report builds itself on schedule and the numbers can be traced back to the source.

• Data conversion and clean-up
• Automated, scheduled reports
• Dashboards
• One-off analysis for a specific question

• SQL
• Python
• Power BI
• Excel automation