Data platform modernization
Move from legacy warehouses and on-premises systems to a governed cloud lakehouse without interrupting the reporting people rely on. Siloed sources become one enterprise data model and one source of truth.
SPINTIQ LLC
Data engineering and software development for organizations that run on data.
We design and build data platforms, pipelines, analytics and custom software, from requirements through production support. Our team has delivered for the Department of the Navy, a major U.S. bank, a global payments processor, and Fortune 500 pharmaceutical and manufacturing companies.
01
Core competencies
We take on the data work that decides whether an organization can trust its numbers, meet its compliance obligations and put AI to real use.
AI readiness and applied AI
Most AI projects stall on the data. We build the governed, documented datasets and feature pipelines AI needs, then deliver language-model and agent applications grounded in your own data, with every decision logged for audit.
Production data engineering
Batch and streaming pipelines at terabyte scale, with validation at ingestion, lineage, monitoring and alerting, so problems surface before they reach a report.
Forecasting and decision analytics
Predictive and time-series models, agreed KPI definitions and executive dashboards that cut reporting cycles from days to hours and give leaders numbers they can act on.
Secure, compliant data systems
Data systems built for regulated environments, with access controls, encryption, validation evidence and audit trails designed in from the start.
Custom software and applications
Web platforms, APIs, internal tools and iOS and Android apps built on top of your data, taken from prototype through release and day-to-day operation.
02
Why Spintiq
A small firm with enterprise and defense experience. The people who scope the work are the people who build it.
A
Defense and regulated delivery
Navy logistics data on the DoD Advana platform under IL/FedRAMP requirements, and pharmaceutical systems validated against FDA GxP with zero defects at launch.
B
Proven at enterprise scale
Pipelines processing millions of manufacturing records a day and terabyte-scale ingestion for global operations.
C
Research-grade analytics
Led by a Doctor of Computer Science with published research in machine learning and time-series forecasting.
D
We build and operate our own software
Spintiq runs its own products in production, so the systems we deliver are built to be operated, not just handed off.
03
Selected experience
Representative engagements by sector, with measured results. Client references are available on request.
| Sector | Client | Work and result |
|---|---|---|
| Defense | Department of the Navy (DoD subcontract) | Data pipelines and visualization for Navy logistics modernization on the DoD Advana platform, including IL/FedRAMP-compliant data migration. Improved processing efficiency by 30% and cut manual data handling by 40%. |
| Pharmaceutical | Global biopharmaceutical manufacturer | Automated pipelines that cut drug product data processing time by 40%. Led acceptance testing across three teams for a drug product data system, validating 200+ fields against FDA GxP requirements with zero defects at launch. |
| Life sciences | Global life sciences company | Led a five-person team that consolidated 12 siloed sources into one enterprise data model on Snowflake. Redesigned KPI reporting across four business units, cutting report generation time by 80%. |
| Automotive | Global automaker | Cloud data pipelines that cut data latency by 30% while processing millions of manufacturing records a day. Dashboards used daily by 50+ managers across manufacturing and logistics. |
| Banking and payments | Major U.S. bank and a global payments processor | Data engineering and analytics supporting banking and payment operations. |
| Energy | Energy management software provider | Consumption forecasting models that raised campaign conversion by 15%, and the pipelines behind executive reporting. |
Work listed was delivered by Spintiq team members, including under prime-contractor, staffing and direct engagements.
04
Built in-house
We also build and run our own software. It keeps our engineering current and gives clients working examples of what we deliver.
| NapicksSports analytics platform | Automated data pipelines and machine-learning models producing predictions across 60+ sports and leagues. | napicks.com |
| REWINDMultiplayer web application | User accounts, live multiplayer sessions and a serverless backend, played on one phone or online. | rewindcard.com |
| IGBEDUiOS and Android app | Mobile app with in-app scanning and secure media delivery through a private API. | gbedugame.com |
| Lagos Survivor3D mobile game | Real-time 3D game for iPhone, built in Unity. | In development |
05
Company
Spintiq LLC is a software development and data consulting firm. We take on a focused number of engagements so senior engineers stay hands-on from scoping through delivery.
The firm is led by a principal data engineer with more than eight years of experience building cloud data platforms for defense, financial services, pharmaceutical and manufacturing organizations, and a Doctor of Computer Science with published research in machine learning and forecasting.
- Doctor of Computer Science
- M.S. Data Analytics
- Applied Data Science Certificate, MIT Professional Education
- Experience supporting DoD programs under IL/FedRAMP requirements
| Legal name | Spintiq LLC |
|---|---|
| Entity type | Limited liability company |
| State of formation | Colorado, 2025 |
| Principal office | Duluth, Georgia |
| D-U-N-S | 140368766 |
| NAICS codes | 541511 Custom Computer Programming Services 541512 Computer Systems Design Services 518210 Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services 541690 Other Scientific and Technical Consulting |
| Delivery | Remote, nationwide. On-site by arrangement. |
06
Contact
For project inquiries, teaming and subcontracting opportunities, or a copy of our capability statement, contact us directly. We respond within one business day.
- [email protected]
- Office
- Duluth, Georgia, USA