SIOS Technology announced today that it has achieved the Amazon Web Services (AWS) Resilience Software Competency in the Design category. This specialization recognizes SIOS as an AWS Partner that provides validated solutions to help customers improve their critical systems availability and resilience posture using AWS Resilience Services. As each customer and their critical workloads have unique availability requirements, AWS Resilience Competency Partners provide tailored guidance and solutions to achieve the highest system uptime needs.
Complex systems are susceptible to a variety of failures, both small and large, throughout their lifespan, including code deployment issues, infrastructure problems, data and state failures, and natural disasters. As a result, organizations must plan for and expect system failures, and design their systems to withstand and recover from failures with minimal impact to end users. Remote teams, distributed systems, and frequent releases further highlight the need for increased resilience in today’s business environment.
Achieving the AWS Resilience Competency in the Design category differentiates SIOS as an AWS Partner that has demonstrated technical proficiency and proven customer success supporting customers’ resilience goals. SIOS is equipped to handle resilience related application challenges, especially as expectations from customers shift towards an ‘always on, always available’ mindset. It’s important for organizations to expect and plan for system failures, and design workloads to recover from failure in a way that minimally impacts their end users. Additionally, when onboarding critical workloads to the cloud, such as online banking, stock-trading, Enterprise Resource Planning (ERPs) or online sales platforms, higher uptime requirements have become a minimal requirement. AWS Resilience Competency Partner SIOS provides professional consulting and engineering services that are validated by AWS experts in the design category. This standardized approach allows customers to achieve their resilience goals in the cloud with the expert assistance of AWS Resilience Competency Partners.
AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, the AWS Competency Program helps customers identify AWS Partners with deep industry experience and expertise.
SIOS high availability solutions are designed to protect mission-critical applications and databases in AWS environments. SIOS LifeKeeper provides intelligent application-aware failover clustering to automatically detect failures and recover applications and data in seconds, minimizing disruption and data loss. SIOS DataKeeper Cluster Edition delivers real-time, block-level data replication to ensure data integrity across AWS Availability Zones or Regions. Together, these solutions deliver the high availability, reliability, and flexibility required to meet the demanding uptime requirements of enterprise customers running workloads on AWS.
Minitap Raises $4.2M to Make Mobile Development 10x Faster with AI
Posted in Commentary with tags Minitap on December 1, 2025 by itnerdMinitap today announced it has raised $4.1 million in seed funding co-led by Moxxie Ventures and Mercuri, with participation from EWOR, Tekton Ventures, Amigos Venture Capital, and six unicorn founders. The round comes just four months after founders Nico and Luc, both 23, achieved the #1 position globally on AndroidWorld, the industry benchmark for AI-controlled mobile devices, surpassing research teams from Google DeepMind, ByteDance, Microsoft Research, and Alibaba.
Mobile development is 10x slower than web development, even in the age of AI. While tools like Cursor and Claude enable web developers to ship features in 2 days that previously took 2 weeks, those same AI tools remain largely ineffective for mobile—unable to test on devices, iterate when things break, or verify features work across configurations. Minitap solves this bottleneck, enabling engineering teams to build mobile features in days, instead of the usual six weeks.
Nico and Luc met in Cosne-Cours-sur-Loire, a village in Burgundy, France. Nico had spent two years in military school; Luc was a child prodigy. Luc taught Nico how to code, and they studied together every day to rank in France’s top 0.1% academically. Seven years later, they’ve built every project side by side.
At 18, they created their first mobile app and bootstrapped Fuego to 10,000 users. Nico went on to study Biomedical Engineering at Imperial College London and carry out AI research, obsessed with DeepMind’s AlphaGo documentary. Luc built delivery drone infrastructure at Rakuten. Together, they combined mobile development experience, AI research expertise, and infrastructure built at scale, a combination no research lab could match.
Minitap’s technical achievement centers on two innovations: mobile-use, an open-source framework that lets AI agents control phones like humans, and minitap cloud, infrastructure that instantly spins up any phone configuration – iOS or Android – across thousands of devices in parallel. These tools connect to AI coding environments, enabling AI to write mobile code, test it on real devices, identify bugs, fix itself, and ship working features autonomously.
Within their first 40 days, Minitap claimed the #1 position on Google DeepMind’s AndroidWorld benchmark, the industry standard for measuring AI control of mobile devices. The founders then open-sourced their entire solution, advancing the field and growing their repository to 1,900 GitHub stars.
The funding round attracted a high concentration of unicorn founders and AI infrastructure experts: Thomas Wolf (Hugging Face, $4.5B valuation), Stefan Glanzer & Michael Breidenbrucker (Last.fm), Paul Muller (Adjust, >$1B exit), Petter Made (SumUp, $8B valuation), Daniel Krauss, Jochen Engert & André Schwämmlein (FlixBus, $3B valuation) and Saturnin Pugnet (Worldcoin). The round also includes operators from OpenAI, DeepMind, LangChain, and LlamaIndex.
Today, engineering teams at consumer mobile companies use Minitap to build features 10x faster. Minitap aims to enable growth teams to ship features without going through the engineering. A product manager describes a feature, provides a Figma design, and AI generates code, tests it, and ships an A/B test in one afternoon.
Longer term, the team plans to build mobile apps that optimize themselves autonomously, running experiments, analyzing user behavior, generating hypotheses, building variations, measuring results, and iterating—all without human intervention.
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