At Datasprint, we believe that every byte of data holds the key to smarter decisions—and stronger security.
Founded by a team of veteran engineers and data pioneers, Datasprint was born from a simple insight: 60–80% of enterprise data lives in unstructured lakes and file systems—out of reach for real‑time analytics and vulnerable to cyberthreats. Frustrated by sluggish legacy ETL tools, we set out to build something radically different.
The result?
ADIE™ (Advanced Data Ingest Engine): a lightning‑fast, Military Grade, FEDRAMP Level secured data pipeline ingesting petabytes of data.
Data prepped and ready for analytics.
To protect financial assets and empower data‑driven decision‑making by delivering scalable, secure, and future‑ready data solutions—without debt, without compromise.
“Bob” is a 20-year USAF Combat Vet who served our country in multiple combat missions. Bob retired in 1998 with an Honorable Discharge and an MBA from the University of Colorado, as well as an undergraduate degree in Computer Science and Accounting. Bob was hired by Oracle and worked there for 18.5 years in every major line of business. Started his first IT Company in 2008, Innovative.Solutions. From his vast experience rose DataSprint™ and our Advanced Data Ingestion Engine™ (ADIE™)
General Andersson is our SBA-approved mentor, has been the CEO of Veteran Engineering and Technology, LLC since 2008. He had an extensive career in the U.S. Army and U.S. Army Reserve, as well as the defense contracting community, where he gained experience with both large and small companies.
Vishwam Shukla is a highly driven Software Engineer with a strong foundation in computer science and a passion for building scalable, secure systems. Vishwam holds a bachelor’s degree in computer science and a master’s degree in software engineering from Northwestern University. He has authored three top-tier research publications and holds multiple copyrights for his innovative contributions to software systems.
When milliseconds matter, ADIE™ never blinks.
We bake Military-Grade FedRamp-level security into every data flow.
We grow sustainably, free from debt, to maintain complete control and customer trust.
Your success is our success. We adapt, we listen, we deliver.
Fixed pricing, clear SLAs, and open communication—always.
Cloud‑native or on‑premises, ADIE™ fits your infrastructure.
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ADIE™ (Advanced Data Ingest Engine) is a next‑generation data pipeline that securely ingests, processes, and delivers real‑time analytics at petabyte scale. Unlike legacy ETL, which moves structured data in batch, ADIE handles both structured and unstructured sources continuously—alerting you to anomalies as they happen.
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We employ Military-Grade FedRamp-level security in every data flow.. This tamper‑proof chain‑of‑custody ensures end‑to‑end integrity and auditability
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ADIE™ is cloud-agnostic. GCP, AWS, Azure, Oracle, or any other cloud platform.
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“Near real‑time” means ADIE™ processes incoming data within seconds to minutes—depending on volume—so you receive alerts and transformed data almost immediately, not hours or days later.
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We offer a fixed annual fee of $150,000 for our first 100 clients—locked for the life of your contract. This includes the ADIE™ license and priority onboarding. Time and Materials support and custom integrations are billed separately at a very reasonable rate of $125 per hour, subject to change
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You receive priority onboarding led by our expert team, plus 20 complimentary T&M support hours. Additional support is available on a time‑and‑materials basis.
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DataSprint is certified under ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2022 (Information Security Management). Certification documents are available upon request. CMMC level 2, CMMI-3 and FedRamp certification are scheduled for late 2025 / early 2026.
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We can schedule a Discovery Call within 48 hours. Typical onboarding and initial deployment take 2–4 weeks, depending on your environment and data volume and complexity.
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Absolutely—contact us to request a personalized demo or pilot project tailored to your data sources and use cases.