Data Engineering — Data Science — AI — Agentic Systems

Df Dx

Find the slope. Follow the signal.

Where change becomes insight. We build production-grade data and AI systems for teams who've outgrown prototypes.

What we do

Raw data → insight → intelligence → action

The pipelines, infrastructure, and data platforms every data science and AI initiative quietly depends on.

Data Pipeline DesignETL/ELTData WarehousingLakehouse ArchitectureData Quality & ObservabilityData Anonymization

Statistical modeling, experimentation, and forecasting that hold up in production — not just in a notebook.

Time Series ForecastingPredictive MaintenanceAnomaly DetectionUnsupervised ClusteringConvolutional Neural NetworksObject Detection & Tracking

Applied machine learning and LLM systems — fine-tuning, retrieval, and evaluation — built for reliability at scale.

LLM Fine-TuningRetrieval-Augmented Generation (RAG)Image AnalysisModel Evaluation & GuardrailsRecommendation Systems

Multi-step, tool-using agents designed with the guardrails, observability, and failure modes production demands.

Multi-Agent HarnessesAI Workflow AutomationAgent Observability & Guardrails

PythonGoTypeScript

PyTorchLangChainLangGraph

SparkDatabricksSnowflakePostgres

AWSKubernetes

React

Eleven years across the full stack, not a team improvising off tutorials. We separate durable technique from this quarter's buzzword.

Every model, pipeline, and agent we build is designed to survive contact with real data, real load, and real failure modes.

From the pipelines that feed a model to the agent that acts on its output, we own the full path from raw data to decision.

Df Dx

Wherever your data is changing, we help you see it first — and act on it with confidence.