Services

Every layer of the modern data stack, delivered by one team.

Pick a single capability or let us own the whole journey — from ingestion to insight. Here's what we do and how deep it goes.

Data Analytics & BI

See the whole business at a glance

Self-serve dashboards and KPI frameworks that give every team a single source of truth — from executive scorecards to operational drill-downs.

Outcome: Teams find answers in seconds instead of filing report requests.

Power BITableauLookerdbtSQL

Capabilities

  • Executive & operational dashboards
  • KPI design and metric governance
  • Cohort, funnel & retention analysis
  • Self-serve semantic layers

Data Engineering

Pipelines that never sleep

Reliable ETL/ELT pipelines and warehouses that ingest, clean, and model data at scale — built for observability and cost efficiency.

Outcome: 99.9% pipeline uptime with alerting before anyone notices a gap.

AirflowdbtSnowflakeBigQueryKafka

Capabilities

  • Batch & streaming ingestion
  • ELT modeling with dbt
  • Warehouse & lakehouse design
  • Data quality & lineage monitoring

AI & Machine Learning

Predict, don't just report

Production ML for forecasting, churn, recommendation, and anomaly detection — with the MLOps to keep models fresh and monitored.

Outcome: Models that stay accurate in production, not just in notebooks.

PythonPyTorchscikit-learnMLflowLangChain

Capabilities

  • Demand & revenue forecasting
  • Churn & propensity modeling
  • Anomaly & fraud detection
  • LLM & RAG applications

Data Visualization

Insight the moment you look

Beautiful, accurate visual stories and reporting layers designed so decision-makers grasp the point in a single glance.

Outcome: Reports people actually read — and act on.

RechartsD3PlotlyPower BIFigma

Capabilities

  • Interactive reporting portals
  • Automated recurring reports
  • Data storytelling & narratives
  • Embedded analytics

Big Data & Cloud

Scale without the surprises

Cloud-native lakehouse architectures on AWS, Azure, and GCP that handle petabyte workloads while keeping compute costs predictable.

Outcome: Petabyte-scale processing with month-over-month cost control.

DatabricksSparkAWSAzureGCP

Capabilities

  • Lakehouse architecture
  • Distributed processing (Spark)
  • Cloud migration & modernization
  • Cost & performance optimization

Data Governance & Quality

Trust every number

Governance, cataloging, and quality frameworks that make data discoverable, compliant, and trustworthy across the organization.

Outcome: Audit-ready data everyone can rely on.

Great ExpectationsCollibraUnity CatalogMonte Carlo

Capabilities

  • Data catalog & lineage
  • Quality rules & validation
  • GDPR / HIPAA / SOC 2 readiness
  • Access & privacy controls

How an engagement runs

01

Discover

We audit your data sources, tooling, and goals to map the highest-impact opportunities.

02

Engineer

We build resilient pipelines and clean, modeled data your teams can trust.

03

Model

We apply analytics and machine learning to turn data into predictions and answers.

04

Visualize

We ship dashboards and reports that make insight obvious to every stakeholder.

05

Impact

We measure outcomes, iterate, and scale what works across the business.