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SaaS Modernization for Theia Scientific

Client

Theia Scientific

Location

Arlington VA

Industry

Artificial Intelligence and Machine Learning (AI/ML) real-time image and data analysis automation technology

Services & Tech

AWS S3, AWS Lambda, AWS Sagemaker, AWS Bedrock

Project Overview

Theia Scientific specializes in augmenting scientific and engineering workflows through AI, machine learning, and near-edge computing technologies. Their flagship product, Theiascope™, is an edge-computing device designed for real-time image analysis in scientific research. This platform, which is customizable and web-based, works with any microscope or image acquisition system to enhance efficiency and discovery in scientific research. To expand their offerings, Theia Scientific aimed to introduce a Software as a Service (SaaS) model for on-demand post-processing of data in the cloud. Avahi was engaged to design and develop this cloud-based solution, focusing on the preliminary stages of design and analysis to deliver a comprehensive fixed scope/fixed price proposal for the MVP.

The
Problem

Challenges

Theia Scientific faced several challenges in transitioning to a SaaS model:

  • Integration: Seamlessly integrating cloud-based post-processing with existing edge-computing capabilities.
  • Scalability: Ensuring the solution could scale to meet the demands of multiple simultaneous users.
  • User Experience: Maintaining a user-friendly interface for both novice and experienced users.
  • Security: Protecting sensitive scientific data in a cloud environment.
  • Performance: Delivering real-time processing capabilities in a cloud-based solution.

Solution

Avahi proposed a comprehensive approach to address these challenges, focusing on the development of an MVP that aligns with Theia Scientific’s strategic business goals. The engagement aimed to design a solution architecture that leverages AWS services, ensuring scalability, security, and performance.

Key Deliverables

  • MVP Hypothesis: A concise statement reflecting the core assumption the product’s success hinges upon.
  • User Stories and Acceptance Criteria: Detailed specifications outlining the functionality and expected performance of the MVP.
  • Wireframes: Visual representations of the MVP’s interface to assist in visualizing its structure and layout.
  • Solution Architecture: A design for deploying the solution to AWS, adhering to AWS’s Well-Architected principles.

Solution Architecture

The solution architecture leveraged various AWS services to implement the deliverables and ensure a robust, scalable platform.

Explore Our Services

We highly recommend Avahi as a reliable and innovative technology partner. Their expertise in cutting-edge technologies was instrumental in building our Proof of Concept (PoC) and developing our Minimum Viable Product (MVP). Avahi consistently delivered high-quality solutions on time while maintaining a collaborative, responsive approach. They went beyond expectations by identifying opportunities for enhancement, ensuring scalability and compliance for our law enforcement-focused products. Avahi is the clear choice if you need a tech partner with industry knowledge, professionalism, and a commitment to innovation.

Brandon Puhlman

Founder, Bravo Foxtrot

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