Startups

Early Infrastructure Setup

Early Infrastructure Setup is how a startup avoids the single most common failure mode in AI: scaling on unstable ground. Young companies often focus on prototypes and product demos, leaving infrastructure as an afterthought—only to pay for it later through downtime, rising cloud bills, data leaks, or catastrophic rewrites.

Theta Tech ensures your technical foundation is built with foresight from day zero. We architect lightweight, secure, elastic systems that evolve as you do. With the right infrastructure, a startup can move fast without breaking everything in the process.

Understanding the Concept

Early infrastructure is more than picking a cloud provider. It is about designing the computational, orchestration, and security scaffolding that every model, workflow, and user interaction will rely on. This includes GPU environments for training and inference, microservice patterns, serverless layers, network optimization, storage architecture, observability, automation pipelines, and the safeguards that prevent future brittleness.

When done correctly, early-stage infrastructure behaves like an accordion: compact and efficient in the beginning, capable of expanding instantly as user demand or model complexity grows. When done poorly, it becomes a bottleneck that forces you to rewrite your entire stack just as you begin gaining traction. Theta Tech prevents that scenario by building infrastructure that scales intentionally—not reactively.

Why This Matters

Build once, scale infinitely.

The greatest risk to early AI startups is not lack of innovation—it is lack of architecture. Fragile infrastructure leads to outages during demos, GPU cost explosions, security oversights, and systems that crumble when traffic spikes. These failures erode investor confidence and stall momentum at the exact moment when speed matters most.

Theta Tech eliminates this fragility. We design systems that are resilient from the start: monitored, modular, cost-conscious, and built with the same discipline typically reserved for late-stage companies. With proper infrastructure, you can iterate fast, onboard users confidently, and scale without fearing that your success will break your stack.

Technical Capabilities

Sub-Services
  • Cloud and Hybrid Deployment (AWS, GCP, Azure):
    Flexible architectures that adapt to your evolving computational needs and security constraints.
  • GPU-Oriented Orchestration for Training Workloads:
    Efficient scheduling and management of compute for model training, fine-tuning, and inference.
  • Serverless and Microservice Architecture:
    Lean, modular systems that provide scalability and reliability without operational bloat.
  • Network and Cache Optimization for Low Latency:
    Performance tuning to ensure fast inference, smooth UX, and predictable system behavior.
  • CI/CD Pipelines and Monitoring Setup:
    Automated deployment workflows and real-time observability dashboards to maintain stability at scale.
  • Security and Access Control Foundations:
    Role-based permissions, secret management, and compliance-ready data practices.

The Result

A technical foundation that scales from prototype to product—without rewrites or regret.  

Built with foresight, engineered with precision.

All Services
Case Studies

Real-World Impact

Explore our successful AI case studies.
Algorithm for Collaboration & Distribution
Updating disparate and unorganized AI algorithm code into cohesive and easily sharable notebooks.
Read More
Clinical UI Design for Radiology AI
Creating intuitive software interfaces that empower doctors and accelerate AI innovation
Read More
Developing 3D Radiology AI Solutions
Moving University Client to the Cloud with Open Source Medical AI Models
Read More
Publications

Explore Our Work

See our 35+ Peer-Reviewed Publications & Patents.
Improved Active Shape Models for Segmentation of the Prostate on MR Imagery
Toth, R. “Improved Active Shape Models for Segmentation of the Prostate on MR Imagery,” M.S. Thesis, Rutgers University, 2010.
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., Strand, R., Malmberg, F., Ou, Y., Davatzikos, C., Kirschner, M., Jung, F., Yuan, J., Qiu, W., Gao, Q., Edwards, P.E., Maan, B., van der Heijden, F., Ghose, S., Mitra, J., Dowling, J., Barratt, D., Huisman, H., Madabhushi, A. “Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.” Medical Image Analysis 25:18(2), Dec 2013 pp. 359-373. doi: 10.1016/j.media.2013.12.002
HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework
Toth, R.J., Shih, N., Tomaszewski, J.E., Feldman, M.D., Kutter, O., Yu, D.N., Paulus, J.C., Paladini, G., Madabhushi, A., “HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.” Journal of Pathology Informatics 5(8), Mar 2014. doi: 10.4103/2153-3539.129441
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI
Toth, R., Traughber, B., Ellis, R., Kurhanewicz, J., Madabhushi, A., “A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.” Neurocomputing 144(20) Nov 2014. pp. 3-12 doi: 10.1016/j.neucom.2014.01.058
"Theta Tech AI is an exciting medical AI consulting company whom we’ve worked with for over a decade.

Their team of experienced healthcare AI developers and PhD level biomedical engineers have helped us accelerate our clinical AI research implementation efforts.

Their team is hardworking and extremely responsive.
If you’re in the healthcare technology space, you’d be remiss to not work with Theta Tech." 
Professor Anant Madabhushi
Executive Director for the Emory Empathetic AI for Health Institute
"Theta Tech AI brings together biomedical engineers and medical imaging experts who deeply understand both AI and clinical practice.

For anyone working in healthcare AI—especially at a leading university or tech company—they are a fantastic team to collaborate with."
Assistant Professor Andrew Janowczyk
Emory University
"Theta Tech AI is an outstanding team of biomedical engineers and medical imaging software experts, who can provide you with specialized healthcare AI solutions that will ensure successful ventures in this space."
Satish E. Viswanath, PhD
Associate Professor, Department of Biomedical Engineering
"Theta Tech AI is a highly competent healthcare AI consulting company that has deep expertise spanning machine learning, data science, medical data, image analysis, comprising of a great team of biomedical engineers."
Mike Galvin
Co-Founder & Chairman of LivAI

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