Custom AI Applications
Full products designed, built, and deployed end-to-end.
Digital Intelligence Data Services LLC is a Service-Disabled Veteran-Owned Small Business headquartered in Oxford, Ohio. DI-DS designs, builds and operates production artificial intelligence systems for government and commercial customers, with core competencies in surveillance and video analytics, unmanned systems and edge AI, custom AI application development, agent orchestration, and AI governance and assurance.
DI-DS has designed, built and currently operates production AI systems with its own investment. The figures below were measured on Goatie, the company's computer vision and records platform, as it runs today.
Every inference the system produces carries its reasoning and a confidence level, and the application is positioned as decision support rather than an authority.
DI-DS delivers production artificial intelligence across five core competency areas. Each area reflects work the company has taken from development into sustained operation.
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.
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.
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.
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.
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.
DI-DS is registered under the following NAICS and PSC codes. Contracting officers and prime contractors may use these codes to identify DI-DS for set-aside, sole-source and teaming opportunities.
DI-DS has served as the prime contractor on the following commercial engagements. Descriptions are provided at the level permitted by the engagement terms. References are available on request under NDA.
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.
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.
DI-DS invests ahead of customer need. Goatie was developed with company funds and is in public operation, demonstrating the computer vision competency above at production scale.
A computer vision and records platform performing object detection and animal re-identification across sessions on a hybrid edge and cloud architecture. Detection and re-identification run at the edge with cloud aggregation, and every inference states its reasoning and confidence.
View live →DI-DS provides the same capabilities to commercial customers as direct engagements, from full custom applications and purpose-built models to the datasets that support them.
Full products designed, built, and deployed end-to-end.
Strategy, roadmaps, and integration guidance that fits your team.
Models built and tuned on your data, for your metrics.
Acquisition, building, labeling, and curation with QA on every pass.
DI-DS provides independent security, reliability and governance assessments of AI systems as fixed-price engagements. Each assessment produces an executive report, a technical findings report and a prioritized remediation plan.
A bounded assessment of one AI application covering architecture, threat model, prompt injection, data boundaries, access control, model behavior, logging and governance.
$7,500 fixed
Adversarial testing for agentic systems, covering retrieval, tool use, MCP, autonomous actions, privilege boundaries and tenant isolation.
From $15,000
Recurring regression testing, model-change analysis, drift monitoring and executive reporting for systems under active development.
From $1,000/mo
Gap analysis against the Trust Services Criteria with AI-specific control design for CC6, CC7 and CC8, assembled evidence, and a remediation plan prepared for the auditor.
$9,500 fixed
The risk analysis required at 45 CFR 164.308(a)(1)(ii)(A), scoped to a system handling ePHI, with documented risk determinations and technical safeguard testing under 164.312.
$7,500 fixed
A passive review of what an organization's AI product reveals publicly, assembled entirely from published information.
Free
Findings map to these frameworks so your team can place them in a structure it already uses. DI-DS is not affiliated with, endorsed by, or accredited under any of them, and an assessment is not a certification. A SOC 2 report may be signed only by a licensed CPA firm, and HIPAA has no certification of any kind.
DI-DS welcomes inquiries from contracting officers, prime contractors seeking small-business teaming partners, and commercial organizations. The one-page capability statement is available for download without registration.