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Data & AI for real‑world
outcomes

Warehouses/lakes, ETL/ELT, embedded analytics, KPI frameworks, forecasting, and practical AI assistants with guardrails.

What We Build

Machine Learning

Practical ML for vision, documents, and recommendations—no buzzword soup.

Data Engineering

ELT/ETL pipelines, warehouses/lakes, and modeling with governance.

Predictive Analytics

KPIs, forecasting, and embedded dashboards for decision‑making.

MLOps

Experiment tracking, model registries, and deployment pipelines.

LLM Applications

Retrieval‑augmented generation, tools, and guardrails for safety.

Data Quality

Contracts, tests, and lineage so teams trust the numbers.

Technologies We Use

PythonPandasdbtAirflowFivetranPostgreSQLBigQuerySnowflakeDuckDBscikit‑learnPyTorchOpenAILangChainRedisMetabaseLooker Studio

Our Data/AI Process

Use‑case Mapping

Business goals to analytics/AI opportunities.

Data Foundations

Pipelines, storage, and modeling layers.

Modeling

Statistical/ML models with validation and bias checks.

Productization

APIs, dashboards, and human‑in‑the‑loop workflows.

Monitoring

Drift detection, quality checks, and feedback loops.

Enablement

Docs, training, and governance practices.

Ready to turn data into outcomes?

Let’s build trustworthy pipelines and AI that delivers value.

Get Started