Data Solutions
Your AI is only as reliable
as the data underneath it.
We audit your data landscape, show you what enterprise data engineering looks like in production, and build the foundation your AI depends on.
Know what's broken
before you build on it.
Most AI initiatives fail not because the model is wrong, but because the data underneath it is messy, siloed, or structurally broken. The Data Discovery Framework audits your current state, interviews the people who own and consume your data, and delivers a prioritized roadmap of the data work worth doing. Done in 10 business days.
Start Your Data DiscoveryHow it works
Week 1
Audit Current Data Landscape
- →Inventory of all data sources, schemas, and owners
- →Pipeline health: latency, freshness, and failure patterns
- →Access controls, lineage gaps, and compliance exposure
Weeks 1 to 2
Engage Stakeholders
- →Structured interviews across data producers and consumers
- →Identify where decisions are blocked by bad or missing data
- →Capture compliance and governance requirements in detail
Week 2
Data Roadmap
- →Top 5 data opportunities ranked by AI-readiness impact
- →Now / Next / Later phased architecture plan
- →Clear path to your first data build
What you walk away with
Current State Architecture Diagram
Every source, pipeline, and system mapped, gaps and all.
Data Quality Assessment
A scored report on completeness, freshness, and accuracy across your key datasets.
Governance & Compliance Gap Analysis
Where your data stack is exposed, and what it takes to fix it.
Recommended First Build
A complete 90-day data engineering plan with full pricing, ready to execute.
Fixed scope. No open-ended retainer. No scope creep. The full $15K is credited back when you move to implementation.
Data infrastructure that
makes AI reliable.
AI is only as reliable as the data underneath it. Most AI failures aren't model failures. They're data failures. Stale pipelines, inconsistent schemas, ungoverned access, missing quality checks. We build the data foundation your AI actually depends on: pipelines that stay current, architectures that hold up under load, and governance your compliance team can actually defend.
Talk to a Data Solutions ExpertWhat We Build
Unified Data Architecture (Lakehouse & Mesh)
We architect and deploy scalable data warehouses and Lakehouse environments that consolidate disparate sources into a single source of truth. Designed specifically for advanced analytics and GenAI integration.
A wealth management firm consolidated five custodian feeds into a single governed lakehouse, cutting report generation from 3 days to 4 hours.
Data Orchestration & Pipeline Engineering
We engineer robust data pipelines with built-in monitoring for automated anomaly detection and recovery. Real-time, event-driven flows that keep your data fresh, accurate, and compliant.
A regional bank replaced an 18-hour batch Anti-Money Laundering (AML) process with a streaming pipeline surfacing alerts in under 5 minutes.
Data Quality & Observability
Bad data breaks AI before it ever reaches a user. We embed monitoring and predictive analytics into your data stack to catch data drift, schema changes, and quality issues before they impact your models.
An enterprise SaaS company reduced AI model failures caused by upstream data issues by over 70% in the first quarter after deployment.
Data Enrichment & ML Feature Engineering
We transform raw, unstructured data into something your models can actually use. Through machine learning enrichment, we convert dormant archives into structured training sets for custom models and Retrieval-Augmented Generation (RAG) applications.
A legal firm made 15 years of unstructured case files queryable in natural language, after we extracted, structured, and embedded the underlying data.
The AI-Ready Data Foundation
We build the data infrastructure your AI depends on: metadata management, identity-aware access controls, and high-concurrency architecture for real-time AI workloads. No shortcuts that break at volume.
An accounting firm's AI initiatives were blocked for 8 months by data access and quality issues. We resolved them in a 10-week engagement. The AI builds started immediately after.
Proof From Production
Unified Client Data Platform
Wealth Management Firm
Unified schema resolving identity across systems with no common key. Role-based access controls restricting data by advisor book of business.
Real-Time Transaction Monitoring Pipeline
Regional Bank
Kafka-based streaming pipeline replacing overnight batch jobs. Sub-5-minute latency. Anomaly detection models retrained weekly on fresh labeled data.
PHI De-identification Pipeline
Healthcare System
NLP-based PHI detection across structured and unstructured clinical notes. HIPAA Safe Harbor and Expert Determination paths supported. Full lineage tracking.
Automated Regulatory Reporting
Broker-Dealer
dbt transformations converting raw trade feeds into required report schemas. SOX-compliant data lineage from source system to filed report.
Every build starts with Discovery.
Know what your AI actually needs before you build the infrastructure for it. Fixed scope, 10 business days, $15K credited to your first build.