Work · TekDatum

Selected engagements · 03 cases

# Client Highlights

Vehicle Reimbursement Test Automation

Motus, LLC

Motus, LLC is a leader in vehicle reimbursement solutions. As automation engineers, we apply the principles of an agile team to analyze requirements and actively recommend improvement points, reducing risks before a development and testing process begins.

Highlights

Applied agile principles to analyze requirements and recommend improvements

Reduced risks before development and testing processes begin

Focused on testing new scenarios while balancing efficiency

Organized and developed automation solutions with Playwright and Cypress for e2e and API testing

Student Info Systems Testing

Edify

Edify provides the insight and expertise to build great educational software collaboratively. They have a great depth of understanding of the education sector, allowing them to implement solutions in a very directed and cost-effective way.

Highlights

Established high quality-standard process for planning and execution

Manual, automated, and load testing implementation

Collaborative educational software development

Digital Transformation Data Science

Triunity Inc.

Digital transformation and technology commercialization consulting firm. Over 30 years of engagement and employment experience in public, private, and entrepreneurial ventures.

Services

Financial Services – eBusiness Development, B2B Marketing

Capital Markets – Forex Trading

Public Sector – State & Local, Public Health

Business Intelligence and Data Management

Healthcare Technology and Advisory

Digital Transformation Management

Human Capital Management

eLearning Technology and Service Delivery

Built by TekDatum, owned by TekDatum.

Beyond client engagements, we build and maintain our own AI security and retrieval products — designed from the ground up for LLM-powered systems.

CrocoTiger · AI Security

Semantic Fencing for LLMs

AI security layer that validates prompts in real time, prevents prompt injection, and ensures strict contextual compliance.

99.36%

Avg block rate
across all attack datasets

0.49s

Avg response time
per validation

Learn more →

sim_LAR · RAG Infrastructure

Hybrid Similarity Engine for RAG

High-dimensional hybrid search engine built for RAG — returns exact results, not approximations. The only engine to achieve 100% retrieval on HotpotQA.

99×

Faster indexing
vs competing engines

100%

HotpotQA retrieval
only engine to achieve it