What we build
Analytics, AI integration, and automation. Whatever the entry point, the engagement starts with a written scope and ends with a working system your team runs.
One trustworthy view of the whole business
We connect the systems that hold your numbers and land them in one warehouse. Live dashboards go in front of the people who run things, and the math checks out before anyone has to ask.
Most operations already generate the data they need. It sits in a property system, an accounting package, a storefront, and forty spreadsheets, and assembling it eats somebody's week. We wire those systems into one warehouse on AWS or GCP and build the pipelines that keep it current. The dashboards and reports publish on their own, and your team reads them without re-checking the math behind them. When a number looks wrong, you can trace it to the row it came from.
- Automated reporting pipelines from operational systems, property management and accounting and ecommerce platforms included
- Looker Studio and BI dashboards against a warehouse you own
- KPI definition sessions that end with metrics people agree on
- Database configuration, ETL development, and warehousing on AWS and GCP
- One-time cleanup and migration when the data itself is the mess
Platforms: AWS, Google Cloud, Looker Studio, Python, SQL
See the reporting buildAI inside the tools you already run
A contract lands and the brief is waiting next to it, cited to its source pages. We build that kind of feature into your product and internal tools, with review steps where a miss would cost you.
AI earns its keep when it removes a bottleneck your team feels every week. We embed it where the work already happens, so the model output shows up inside the click your people already make. The usual entry point is document intelligence with citations. From there it grows into custom models for sentiment, classification, and forecasting on your own data, and into assistants grounded in what your company already knows, on Bedrock, Vertex AI, and the frontier APIs. Accuracy comes first, and a person reviews the calls that carry real risk.
- AI features built natively into your product and internal tools, copilots and API integrations included
- Document intelligence pipelines: structured, source-cited summaries plus clause and data extraction
- Custom machine learning models for sentiment, classification, and forecasting
- Assistants grounded in company data
- Evaluation and vendor selection when you need a straight answer about the tools
- Guardrails and human review wired into every workflow that ships
Platforms: AWS Bedrock, Amazon SageMaker, GCP Vertex AI, Anthropic Claude, OpenAI
See the contract review build See the sentiment model buildWhole processes, carried end to end
Our agents read the inbox, match invoices against the purchase orders, and post whatever reconciles. The one that looks wrong goes to a person. Everything on a schedule runs itself overnight.
A single automated task saves minutes. Carry the whole process and somebody gets their week back. We build agents that plan the steps, act across your systems, and stop for sign-off at the moments you define. Event-driven automations fire when the business moves: a document arrives, an order changes, a threshold trips somewhere in the stack. The scheduled work, reports, pipelines, document handling, runs at 2am and leaves a log.
- Agentic workflows that plan, act across systems, and pause for human approval
- Event-driven automations triggered by real business moments
- Scheduled data and reporting pipelines that ingest, transform, and deliver
- Automated document and email handling
- Report generation with zero manual steps
- Workflow automation across Google Workspace and your line-of-business systems
Platforms: AWS, Google Cloud, Google Workspace
See an always-on pipeline in productionNot sure which door this is?
Most problems arrive tangled across all three. Describe yours in plain language and we will name the entry point on the call.