We are a high-velocity Data Engineering consultancy specializing in AI-Driven Cloud Cost Recovery and Infrastructure Integrity — at a speed and price point traditional agencies cannot match.
A pro-bono, read-only diagnostic that deploys proprietary AI scrapers and semantic analysis to baseline your infrastructure waste, schema drift, and PII exposure — delivered in 48 hours with a 0–100 modernization readiness score.
Selected work
Partnered with the CDC to build a robust data quality framework, reconciling errors from a state public health agency. Delivered actionable insights to epidemiologists via Python, SQL Server, and Tableau.
Deployed a Google BigQuery data warehouse for NYC's housing program serving 40,000+ healthcare workers — with advanced LookML modeling in Looker and an R-based program evaluation for national replication.
No commitment. Read-only access. Results in 48 hours.
We are a high-velocity Data Engineering consultancy built on an AI-First architecture. Our mission is to eliminate the silent budget bleeds that cost organizations an average of 20% of their cloud spend.
We deploy proprietary AI agents that analyze over 10,000 metadata signals in seconds — providing a depth and speed of insight that human-only audits fundamentally cannot achieve. This is not AI-assisted work. It is AI-first engineering.
Most enterprise data ecosystems suffer from "Silent Leakage" — manual errors, security gaps, and infrastructure waste that quietly bleed 20% of cloud budgets every month. We exist to find it, quantify it, and fix it.
We specialize in high-growth organizations that need enterprise-grade engineering but cannot afford the timelines or price points of traditional agencies. Speed and precision are not trade-offs — they are our baseline.
We understand the unique challenges of every organization we work with. Through tailored data solutions, proactive guidance, and ongoing support, we build relationships that empower meaningful digital transformation.
Our hybrid delivery model combines 70% onshore strategic and client-facing leadership with 30% offshore engineering execution. The result: enterprise-grade output at a price point that traditional agencies cannot compete with — without sacrificing quality, communication, or accountability.
"Partner with Aquire and experience the difference of working with a trusted data firm dedicated to advancing your mission — not just your backlog."
Our four practice areas are designed to cover the full data lifecycle — from infrastructure and security to analytics and modernization — all delivered through an AI-first lens.
We design and implement secure, scalable cloud data engineering solutions that eliminate the infrastructure waste bleeding your budget. Leveraging AI-driven analysis, we identify orphaned compute, over-provisioned resources, and architectural inefficiencies before they compound.
Our engineers work across major cloud platforms to modernize data pipelines, warehouses, and processing infrastructure for enhanced performance and long-term scalability.
Legacy data systems are the primary driver of the Modernization Gap. They limit interoperability, create schema drift, and block the analytics capabilities modern organizations need to compete. We craft comprehensive roadmaps for digital transformation — assessing current state, defining future objectives, and executing with precision.
Every modernization engagement begins with our 48-Hour AI Scorecard to establish an objective baseline before any work begins.
We deploy machine learning, AI, and predictive modeling to unlock actionable insights from your operational data. Our solutions eliminate the 5-day ticket backlogs common in manual reporting environments, replacing them with real-time executive dashboards and self-service analytics.
From LookML modeling to advanced R-based program evaluation, we deliver the full analytics stack — not just dashboards.
Data security is at the heart of everything we do. Our AI-driven PII discovery identifies exposure across your full data surface — not just what you know about, but what you don't. We ensure audit-readiness for HIPAA, SOC2, and GDPR, and verify MFA and access log integrity across your infrastructure.
Security is not a checklist. It is an ongoing architectural posture that we embed into every engagement.
Built a robust data quality framework for the CDC, reconciling errors from a state public health agency. Python, SSMS, SQL Server, and Tableau — delivering reliable insights to epidemiologists for faster, data-driven community health decisions.
Deployed Google BigQuery and Looker for NYC's pandemic housing program serving 40,000+ individuals. Advanced LookML modeling plus an R-based program evaluation designed for national replication.
A read-only diagnostic powered by proprietary AI scrapers and semantic analysis. We baseline your infrastructure waste, schema drift, and PII exposure — and deliver a 0–100 modernization readiness score in 48 hours. No cost. No commitment.
You provide read-only credentials. We never modify, copy, or store your production data. Our infrastructure operates entirely within encrypted environments.
Proprietary AI agents analyze 10,000+ metadata signals across your cloud infrastructure, data warehouse, and schema topology — in seconds, not weeks.
Our semantic layer identifies schema drift patterns, orphaned compute, PII exposure vectors, and cross-system validation gaps that manual audits routinely miss.
Within 48 hours, you receive a full Data Health Scorecard: a 0–100 readiness score, ROI calculator, and a prioritized Red Zone roadmap.
Check: Cross-system validation and duplicate detection
Goal: Eliminate the 12% discrepancy common in manual reporting
Our AI identifies data quality failures across pipeline boundaries — not just within a single system, but across the full data graph.
Check: PII discovery, MFA verification, access log audits
Goal: Audit-ready for HIPAA, SOC2, or GDPR
Semantic analysis surfaces PII exposure you may not know exists — across structured tables, semi-structured logs, and unstructured document stores.
Check: Cloud spend analysis and query performance mapping
Goal: Identify and eliminate "Orphaned" costs and compute waste
We map every dollar of cloud spend to its corresponding query, job, or workload — and flag the orphans bleeding your budget silently.
Check: Silo identification and self-service readiness
Goal: Move from 5-day ticket backlogs to real-time executive insights
We assess how accessible your data is to the people who need it — and quantify the decision-latency cost of every bottleneck in your reporting chain.
Fill out the form and our team will be in touch within one business day to schedule read-only access and kick off your 48-hour diagnostic. No commitment required.
Our team of experts is ready to help your organization navigate the complexities of data infrastructure — and unlock the value hiding in your systems.
Our AI-Driven 48-Hour Health Scorecard is the fastest way to understand exactly where your data infrastructure stands — and what it's costing you. Pro-bono. No commitment.