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Data & AI Engineering That Reaches Production
Data pipelines, analytics and AI models built on clean foundations and run in production, for teams in healthcare, finance and beyond.
Trusted Frameworks for Regulated Data
Turn Data into a Strategic Advantage.
We build the "blueprints" for your data ecosystem, ensuring it is compliant with financial audits and healthcare regulations while remaining accessible for business intelligence.
- Scalable data architecture design (data lakes, warehouses, pipelines)
- Master data management and metadata frameworks
- Data quality, lineage, and lifecycle management
- Compliance with GDPR, HIPAA, and other regulatory standards
- Governance models for access control, privacy, and auditability
Robust Engineering for Real-Time Insights
Build Reliable Pipelines. Unlock Actionable Insights.
Our engineers build the high-performance pipelines that move data from source to insight, ensuring your dashboards and AI models always have the freshest information.
- ETL/ELT pipeline design and implementation
- Real-time streaming and batch data processing
- Data integration across multiple sources and platforms
- Cloud data platforms (AWS, Azure, GCP) and data warehousing
- Data quality, validation, and performance optimization
Generative AI & AI Engineering
Custom AI solutions for complex decision-making.
We help you identify where Generative AI can actually drive value—whether it's automating medical charting or identifying fraudulent financial patterns—and build the custom models to execute it.
- Generative AI solutions for content, code, and design automation
- Predictive modeling and recommendation engines
- Natural language processing (NLP) and computer vision applications
- AI model deployment, monitoring, and lifecycle management
- Integration of AI capabilities into existing products and workflows
The Intelligence Lifecycle: From Raw Data to Insights
Great AI is built on great data. Our process ensures your data is clean, compliant, and structured to support high-performance machine learning models.
- 01
Data Source Discovery
Identifying siloed data across your organization to create a unified single source of truth.
- 02
Pipeline Architecture
Designing scalable infrastructure to handle high-velocity data ingestion without latency.
- 03
Governance Framework
Embedding HIPAA and GDPR-grade security into the data layer to ensure privacy by design.
- 04
ETL/ELT Implementation
Automating the extraction, transformation, and loading of data into high-performance warehouses.
- 05
Model Development
Building custom ML models tailored to your specific financial risk or clinical outcome goals.
- 06
MLOps & Deployment
Operationalizing AI with robust monitoring to ensure model accuracy and prevent drift over time.
- 07
Continuous Learning
Refining algorithms based on real-world performance to drive increasing business value.
Data & AI Strategy FAQ
Navigating the frontier of custom software development in Austin.
How do you handle sensitive PII/PHI in AI models?
We use advanced de-identification, differential privacy, and secure enclaves to ensure models learn from patterns without ever exposing sensitive individual data.
Can your software developers help us with Generative AI?
Yes. We specialize in Retrieval-Augmented Generation (RAG) to ensure LLMs provide accurate, company-specific answers without "hallucinations."
What is the difference between Data Engineering and Data Science?
Data Engineering builds the "plumbing" (pipelines/warehouses), while Data Science builds the "intelligence" (models/insights). We provide bo
How do you prevent bias in AI models?
We implement rigorous bias-detection audits during the training phase to ensure fair and equitable algorithmic outcomes.
Is my data used to train public AI models?
Never. As a leading Austin software development company, we ensure all models are hosted in your private, secure environment.
Success stories in action
CIBC: International Student GIC Automation
Overview The Student GIC (Guaranteed Investment Certificate) program is a critical service for international students coming to Canada. CIBC needed to modernize…
BMO: Heterogeneous Data Layer Orchestration
Overview In the wake of expanding their North American footprint, BMO faced a massive technical hurdle: unifying disparate data layers from multiple…
Rogers: AI Automation & Ticketing Modernization
Overview Rogers required a modernization of its customer support ecosystem, focusing on replacing an aging legacy ticketing system and implementing AI-driven automation…
Have a prototype that needs to reach production?
Tell us where you are. A senior engineer will get back to you, with no sales pitch.
- Emailhello@lokudigital.com
- Phone+1 347-644-0405
- US headquarters12700 Ridgeline Blvd, Cedar Park
Austin, TX 78613 - Canada office15 Claridge Cres, Whitby
ON L1R 3E2 - HoursMon–Fri, 9am–8pm
Weekends, 10am–5pm