Government Contracting
Digital Intelligence Data Services LLC is a Service-Disabled Veteran-Owned Small Business headquartered in Oxford, Ohio. DI-DS builds and operates production artificial intelligence for surveillance and video analytics, unmanned aerial and ground platforms, and edge deployment on constrained hardware. These capabilities are applicable to ISR, force protection and perimeter security missions.
Company data
Verify at SAM.gov- Legal name
- Digital Intelligence Data Services LLC
- UEI
- XJYNX79M3YR7
- CAGE
- 0LXQ0
- SAM.gov
- Active registration through 25 July 2027. View entity registration
- Certifications
- SBA-certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Veteran-Owned Small Business (VOSB)
- Business size
- Small
- Established
- 2024
- State of incorporation
- Ohio
- Congressional district
- OH-08
- NAICS
-
541511Custom Computer Programming Services541512Computer Systems Design Services541519Other Computer Related Services541715R&D Physical, Engineering and Life Sciences541690Other Scientific and Technical Consulting541990Other Professional, Scientific and Technical Services518210Computing Infrastructure and Data Processing
- PSC
- B506, DA01, DA10, DF01, R425, R499
- Address
- 5560 Stephenson Rd, Oxford, OH 45056
- Point of contact
- Nathan R. Callahan, Managing Member
ncallahan@di-ds.com
(513) 273-1222
Capability statement
One page, current as of this month, carrying the same identifiers shown above. Suitable for forwarding to a contracting officer or a prime's small-business office.
What we deliver
Surveillance and Video Analytics
Person and object detection, multi-object tracking and re-identification, pose estimation and action recognition. Multi-camera synchronization and homography-based spatial alignment across differing viewpoints. GPU-accelerated distributed inference on production systems processing millions of video events daily. Capabilities applicable to ISR, force protection, perimeter security and physical security monitoring.
Unmanned Systems and Edge AI
AI inference deployed to NVIDIA Jetson aboard unmanned aerial and ground platforms. ROS2 integration for autonomous navigation and real-time perception. ONNX export, structured pruning and graph optimization for resource-constrained embedded GPU. RF signal classification and automatic modulation recognition developed for Department of Defense drone systems.
Custom AI Application Development and Modeling
Complete production AI applications, not prototypes. Full-stack systems combining machine learning inference, backend services and user interfaces, deployed on AWS and Azure with automated CI/CD via Azure DevOps and GitHub Actions. Purpose-built models where commercial off-the-shelf does not fit: LLM fine-tuning on curated domain corpora, document intelligence combining OCR and NLP, hyperspectral imaging analysis.
Agent Orchestration
Agentic AI architectures: task decomposition, multi-agent coordination, tool use and function calling, human-in-the-loop validation, and deterministic control layers that keep language models out of safety-critical decision paths. Retrieval-augmented generation with citation validation and structured output enforcement. Azure AI Foundry implementation.
AI Governance and Assurance
Establishes and leads an enterprise AI Center of Excellence setting AI strategy, standards, model risk documentation and review processes in an FDA-regulated medical device environment. Governance experience spanning FDA, HIPAA and SOC 2. LLM observability and traceability, independent model evaluation and adversarial testing of agentic systems.
Differentiators
- Surveillance and unmanned systems specialization with production depth: person and item tracking with action recognition delivered in production at Fortune 10 retail scale, plus Department of Defense work on Vision Transformer RF signal classification for unmanned aerial systems (UAS).
- Prior United States Air Force service under a Top Secret clearance, with three years as a defense contractor in Kuwait and Afghanistan.
- Published deep learning research: curriculum learning for automatic modulation classification (ProQuest, 2023) and IEEE World AI IoT Congress (2022).
- Production machine learning delivered inside HIPAA, SOC 2 and FDA-regulated environments, including standing up the AI governance and model risk protocols themselves.
- Multi-cloud delivery across both AWS and Azure rather than a single-vendor practice. Principal holds an M.S. in Computer Science.
Past performance
RMTZ, Inc. (Remitz)
Data science leadership and hands-on machine learning delivery for a commercial client operating under HIPAA and SOC 2 controls. Scope covered model development, production deployment and the client's machine learning platform, performed inside the client's compliance program.
Exponential Genomics, Inc.
Technical operations and systems administration for a commercial research organization. Access provisioning for employees and vendors, onboarding and offboarding controls, vendor coordination, and administrator training.
Security and AI assurance assessment
DI-DS performs independent security, reliability and governance assessments of artificial intelligence systems, including adversarial testing of agentic architectures, model evaluation, data-boundary review, and readiness review against published frameworks. Active testing is conducted only within written authorization defining the systems, methods and testing window.
The same capability is available to commercial buyers as a self-serve engagement. See the commercial assessment services.
Teaming and subcontract inquiries
- Contact
- Nathan R. Callahan, Managing Member
ncallahan@di-ds.com · (513) 273-1222 - Set-aside status
- SBA-certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Veteran-Owned Small Business (VOSB)
- Capability statement
- Download PDF