Cloud Cost Optimization | Reliability with Thoras

Twin Sisters Launch Thoras to Tackle Cloud Reliability and Costs
For a considerable period, Nilo Rahmani and Jen Rahmani, twin sisters, regularly exchanged experiences and shared frustrations stemming from their individual engineering roles.
Nilo conveyed to TechCrunch that a recurring theme in their discussions revolved around the difficulties encountered with the reliability platforms utilized in their workplaces.
Recognizing a shift occurring within the reliability sector several years ago, they believed their accumulated experience uniquely positioned them to develop an appropriate reliability solution aligned with the industry’s evolving needs.
The Shift in Reliability Priorities
“Previously, achieving reliability was the paramount concern, regardless of expense,” Nilo explained to TechCrunch. “Currently, organizations are increasingly focused on the financial implications of cloud services.
The entire industry is facing challenges due to these escalating costs, a problem that intensifies as businesses expand.”
Driven by this observation, the Rahmani sisters established Thoras, aiming to strike a balance between reliability and efficient cloud resource utilization.
Thoras: AI-Powered Root Cause Analysis
Based in Washington, D.C., Thoras leverages artificial intelligence to assist engineers in swiftly identifying and resolving the underlying causes of software failures.
Furthermore, the platform aids enterprises in uncovering opportunities for optimization within their reliability infrastructure, ultimately leading to reduced cloud expenditures.
Thoras asserts its ability to accelerate issue resolution by 70% compared to conventional methods, while simultaneously enabling cost savings of up to 60% on cloud services.
Predictive Demand and Cloud Resource Management
Nilo, serving as CEO, highlighted that the platform is engineered to anticipate fluctuations in demand.
This predictive capability allows companies to proactively prepare for potential reliability disruptions and allocate cloud resources effectively.
A Competitive Landscape
The field of cloud observability already encompasses established players such as New Relic, Splunk, and Dynatrace.
This category is anticipated to experience further growth, fueled by advancements in AI technology.
Notably, SUSE, a Linux and cloud infrastructure provider, unveiled a new cloud observability tool in November 2024.
Thoras’ Distinct AI Approach
Nilo believes Thoras differentiates itself through its strategic implementation of AI.
While utilizing machine learning, the company deliberately avoids over-reliance on large language models.
Instead, Thoras prioritizes smaller models that deliver demonstrably clearer returns on investment.
She pointed out that many competitors heavily depend on LLMs, which can be inaccurate and lead to excessive resource consumption.
Growth and Funding
Thoras officially launched in January 2024 and secured $1.5 million in pre-seed funding in March 2024.
The company has experienced a remarkable 360% revenue increase over the past nine months.
To sustain this momentum and meet growing customer demand, Thoras has announced a new round of financing.
The startup successfully raised $5 million in a seed round led by Wellington Management, with contributions from SineWave Ventures, Focal Ventures, and Storytime Capital, among others.
These funds will be allocated to expanding the engineering team, enhancing the product, and fulfilling customer needs.
“This funding round was considerably smoother than our pre-seed raise,” Nilo stated. “We now possess the traction and metrics that validate our product-market fit and outline our path forward.”
Future Expansion
Currently, Thoras primarily focuses on Kubernetes environments, a deliberate strategic choice.
However, Nilo indicated that future product development will involve extending support to other types of cloud software.
A Twin-Powered Partnership
Jen, the COO, shared that neither she nor Nilo initially envisioned launching a company together – a prospect that also surprised their immigrant parents.
Her parents were initially apprehensive about their daughters relinquishing the stability of their full-time positions.
However, Jen emphasized that she and Nilo form a “power duo,” leveraging their unique connection as twins to enhance problem-solving capabilities.
“Initially, our parents were uncertain and concerned,” Nilo admitted. “They have always believed in us, and now they are delighted with our accomplishments.”
Note: This article has been updated to reflect the correct name of Wellington Management.
Related Posts

ChatGPT Launches App Store for Developers

Pickle Robot Appoints Tesla Veteran as First CFO

Peripheral Labs: Self-Driving Car Sensors Enhance Sports Fan Experience

Luma AI: Generate Videos from Start and End Frames

Alexa+ Adds AI to Ring Doorbells - Amazon's New Feature
