distil labs Verified Customer Reviews (2026)

Dragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.

Iru AI is a next-generation, AI-native security and compliance platform designed to unify and automate enterprise protection in an increasingly complex digital landscape. Built from the ground up for the AI era, Iru integrates identity management, endpoint protection, and compliance automation within a single, context-aware system. Its proprietary Iru Context Model continuously interprets relationships between users, apps, and devices, enabling intelligent actions across authentication, threat detection, and audit workflows. The Identity module eliminates passwords with device-bound authentication, ensuring frictionless yet secure access to every enterprise app. The Endpoint suite consolidates management, detection, and vulnerability response into one lightweight agent, providing real-time visibility and cross-platform consistency. Meanwhile, the Compliance engine automates control mapping and evidence collection, reducing audit preparation time while maintaining continuous readiness. Unlike fragmented legacy tools, Iru’s unified approach minimizes security gaps, streamlines administration, and improves user experience across the organization. The platform’s scalability and AI automation have helped firms cut IT workloads in half while achieving stronger security postures and regulatory compliance. Trusted by global innovators like Airbus, Notion, McLaren, and BetterHelp, Iru is transforming how enterprises secure their digital ecosystems. With over 5,000 customers and top-tier ratings for usability and innovation, Iru empowers teams to focus on strategic growth rather than operational complexity.

We are excited to unveil the latest version of our open-source large language model, which includes model weights and initial code for the pretrained and fine-tuned Llama language models, ranging from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been crafted using a remarkable 2 trillion tokens and boast double the context length compared to the first iteration, Llama 1. Additionally, the fine-tuned models have been refined through the insights gained from over 1 million human annotations. Llama 2 showcases outstanding performance compared to various other open-source language models across a wide array of external benchmarks, particularly excelling in reasoning, coding abilities, proficiency, and knowledge assessments. For its training, Llama 2 leveraged publicly available online data sources, while the fine-tuned variant, Llama-2-chat, integrates publicly accessible instruction datasets alongside the extensive human annotations mentioned earlier. Our project is backed by a robust coalition of global stakeholders who are passionate about our open approach to AI, including companies that have offered valuable early feedback and are eager to collaborate with us on Llama 2. The enthusiasm surrounding Llama 2 not only highlights its advancements but also marks a significant transformation in the collaborative development and application of AI technologies. This collective effort underscores the potential for innovation that can emerge when the community comes together to share resources and insights.