IT Services

Data teams that ship. AI that works.

Datadrix IT Services applies the same expertise we use to train 10,000+ data professionals to build Generative AI, analytics, and data science systems for your business — not pilots that stall after the demo.

Generative AIData AnalyticsData Science
GADADS
50+ delivery projectsPractitioner-led, production-first
95%Client
Satisfaction
12+Industries
Served
Generative AICopilots, RAG, automation agents
Data AnalyticsDashboards, pipelines, reporting
Data ScienceForecasting, ML, MLOps

Built by practitioners, not just consultants

Every engagement is staffed by people who also teach these exact skills to our students.

Practitioner-led delivery

Built by people actively working with these tools, not reading about them.

Production-first builds

Monitoring and handover documentation ship with the project, not after.

Team upskilling included

We train your internal team to own and extend what we build.

Three practices, one delivery team

Pick one, or combine them into a single roadmap.

Generative AI

From a first proof-of-concept to a production copilot, we build on top of your data, not around it — with guardrails your team can maintain after we leave.

  • Custom LLM & RAG applications on your own documents
  • Enterprise copilots and support / sales chat assistants
  • Model fine-tuning, evaluation, and prompt testing
  • Workflow automation agents for back-office work
Enterprise Copilot (RAG)280ms latency
User: "Analyze Q3 customer retention by cohort."
AI Assistant: Q3 retention increased +14.2% in enterprise tier. Identified 3 primary expansion signals across 280 accounts.
Verified from: Snowflake_VectorDB / Q3_Audits.parquet

Data Analytics

We connect the systems your teams already use, clean up the pipeline feeding them, and build reporting that survives past the first demo.

  • BI dashboards built around real decisions
  • ETL and data pipeline engineering
  • KPI tracking and reporting automation
  • Data warehousing on Snowflake, BigQuery, or Redshift
Live Warehouse TelemetrySynced 2m ago
ETL Latency
14ms
Uptime
99.98%
Queries/sec
4.2k

Data Science

We build the modeling work and the plumbing around it — monitoring, retraining, and documentation — so accuracy doesn't quietly decay.

  • Predictive modeling and demand or churn forecasting
  • ML pipeline development and MLOps
  • Statistical analysis and experiment design
  • Model deployment, monitoring, and drift detection
Forecast Model v2.4 (MLOps)No Drift Detected
ROC-AUC Score
0.964
Precision
95.8%
Model Status
Auto-Tuned
Pipeline: PyTorch / MLflow / Kubernetes✓ Retrained Daily

How an engagement runs

The same four stages regardless of which practice you start with.

01

Discover

We audit your data, systems, and the decision the project needs to support.

02

Build

We prototype with your team in the loop, in weekly checkpoints.

03

Deploy

We ship to production with monitoring in place from day one.

04

Enable

We train your internal team to extend and own what we built.

50+Projects delivered
12+Industries served
10k+Professionals trained
95%Client satisfaction

Tools we build with

PythonOpenAILangChainPyTorchTensorFlowSparkAirflowSnowflakeBigQueryPower BITableauAWS

Have a data problem you haven't scoped yet?

A free 30-minute call is usually enough to tell you whether it's a two-week fix or a bigger build.