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SHENZHEN, China, Sept. 15, 2025 /PRNewswire/ -- MGI Tech Co., Ltd. (MGI), a company dedicated to developing core tools and technologies that drive innovation in life sciences, announced the launch of the DNBSEQ-T7+, its latest high-throughput sequencer. Designed to meet the rising demand for large-scale genomic research, the T7+ delivers more than 14 Tb/day of data in just 24 hours while offering a smaller footprint, flexible run configurations, and end-to-end automation. Internally dubbed a "data mining machine," the T7+ redefines high-throughput sequencing by combining daily output with ease of use and multi-omics versatility.
 
DNBSEQ-T7+
A New Era in High-Throughput Sequencing
The T7+ integrates MGI's proprietary DNBSEQ™ technology with next-generation fluidics, optics, and bioinformatics, creating a platform that is faster, smarter, and more versatile than ever before. The compact system supports 1–4 flow cells per run, adapts to projects of any scale, and integrates every step—from DNB preparation to bioinformatics analysis—into a fully automated workflow.
Key technical highlights include:
- Throughput: More than 14 Tb/day (vs. 7 Tb/day on T7)
- Annual Capacity: Up to 35,000 whole-genome sequencing (WGS)
- Accuracy: >90% Q40 quality scores, validated in beta testing by leading labs
- Speed: PE150 reads in under 24 hours
- Flexibility: Configurable for mid- or large-scale studies
- Size Efficiency: 1 m²
- 7-in-1 Integration: Hardware + software architecture eliminates manual preparation steps
- Scanning Time: 50% reduced by the TDI(Time-Delay Integration) camera.
- One-Stop Workflow: Built-in automation from DNB preparation to bioinformatics
- Reduced energy consumption: Over 90% of transport links and certain reagents require no cold chain.
With these capabilities, the T7+ enables researchers to sequence 144 human genomes in a single day, accelerating breakthroughs in cancer genomics, rare disease research, and precision medicine.
From T7 to T7+: Continuing the T Series Legacy
The DNBSEQ-T7, launched in 2018, was a breakthrough in the T Series, setting a new benchmark for high-throughput sequencing by delivering up to 7 terabases (Tb) of data in 24 hours. With over 400 units installed at more than 200 leading institutions worldwide, such as national initiatives, including Thailand's Genomics Thailand Initiative and Brazil's largest genomic sequencing project. This milestone redefined sequencing speed and accessibility, cementing the T Series as a cornerstone of genomic innovation.
As sequencing becomes increasingly affordable, researchers are demanding instruments that deliver higher throughput, faster results, and uncompromising accuracy and quality. That's why MGI developed the T7+, an advanced continuation of the T7 designed to deliver greater speed, scalability, high flexibility, and performance to meet the evolving demands of clinical research, population genomics, and large-scale sequencing projects.
T7 was a breakthrough in specs, while the T7+ breaks new ground in user experience.
Redefining High-Throughput Sequencing
T7+ solves the universal trade-offs researchers face—speed versus capacity, usability versus cost. By integrating 7-in-1 hardware, smartphone-like software, and modular-designed consumables, the T7+ makes sequencing as intuitive as using a smartphone. Its ability to support multi-omics applications—spatial omics, single-cell, proteomics, methylation—in one run enables concurrent data streams for large cohorts.
"The T7+ is more than just a sequencer—it is a bridge between scientific discovery and real-world health outcomes," added Duncan Yu, President of MGI Tech. "With higher throughput, improved accuracy, and a smaller footprint, the T7+ empowers scientists to ask bigger questions and deliver insights faster. Every genome sequenced has the potential to accelerate rare disease diagnosis, guide precision oncology, and inform public health at scale."
Early adopters of the T7+ are already deploying it in population-scale studies, where its short-read power, combined with cyclone long-read data, enhances structural variant detection and rare disease analysis. Others are pairing the T7+ with long-read platforms for single-cell studies, opening new opportunities in understanding genetic diversity and cellular complexity.
T7+ is now open to order. International shipments begin in late 2025.
SHENZHEN, China, Sept. 15, 2025 /PRNewswire/ -- MGI Tech Co., Ltd. (MGI), a company dedicated to developing core tools and technologies that drive innovation in life sciences, announced the launch of the DNBSEQ-T7+, its latest high-throughput sequencer. Designed to meet the rising demand for large-scale genomic research, the T7+ delivers more than 14 Tb/day of data in just 24 hours while offering a smaller footprint, flexible run configurations, and end-to-end automation. Internally dubbed a "data mining machine," the T7+ redefines high-throughput sequencing by combining daily output with ease of use and multi-omics versatility.
 
DNBSEQ-T7+
A New Era in High-Throughput Sequencing
The T7+ integrates MGI's proprietary DNBSEQ™ technology with next-generation fluidics, optics, and bioinformatics, creating a platform that is faster, smarter, and more versatile than ever before. The compact system supports 1–4 flow cells per run, adapts to projects of any scale, and integrates every step—from DNB preparation to bioinformatics analysis—into a fully automated workflow.
Key technical highlights include:
- Throughput: More than 14 Tb/day (vs. 7 Tb/day on T7)
- Annual Capacity: Up to 35,000 whole-genome sequencing (WGS)
- Accuracy: >90% Q40 quality scores, validated in beta testing by leading labs
- Speed: PE150 reads in under 24 hours
- Flexibility: Configurable for mid- or large-scale studies
- Size Efficiency: 1 m²
- 7-in-1 Integration: Hardware + software architecture eliminates manual preparation steps
- Scanning Time: 50% reduced by the TDI(Time-Delay Integration) camera.
- One-Stop Workflow: Built-in automation from DNB preparation to bioinformatics
- Reduced energy consumption: Over 90% of transport links and certain reagents require no cold chain.
With these capabilities, the T7+ enables researchers to sequence 144 human genomes in a single day, accelerating breakthroughs in cancer genomics, rare disease research, and precision medicine.
From T7 to T7+: Continuing the T Series Legacy
The DNBSEQ-T7, launched in 2018, was a breakthrough in the T Series, setting a new benchmark for high-throughput sequencing by delivering up to 7 terabases (Tb) of data in 24 hours. With over 400 units installed at more than 200 leading institutions worldwide, such as national initiatives, including Thailand's Genomics Thailand Initiative and Brazil's largest genomic sequencing project. This milestone redefined sequencing speed and accessibility, cementing the T Series as a cornerstone of genomic innovation.
As sequencing becomes increasingly affordable, researchers are demanding instruments that deliver higher throughput, faster results, and uncompromising accuracy and quality. That's why MGI developed the T7+, an advanced continuation of the T7 designed to deliver greater speed, scalability, high flexibility, and performance to meet the evolving demands of clinical research, population genomics, and large-scale sequencing projects.
T7 was a breakthrough in specs, while the T7+ breaks new ground in user experience.
Redefining High-Throughput Sequencing
T7+ solves the universal trade-offs researchers face—speed versus capacity, usability versus cost. By integrating 7-in-1 hardware, smartphone-like software, and modular-designed consumables, the T7+ makes sequencing as intuitive as using a smartphone. Its ability to support multi-omics applications—spatial omics, single-cell, proteomics, methylation—in one run enables concurrent data streams for large cohorts.
"The T7+ is more than just a sequencer—it is a bridge between scientific discovery and real-world health outcomes," added Duncan Yu, President of MGI Tech. "With higher throughput, improved accuracy, and a smaller footprint, the T7+ empowers scientists to ask bigger questions and deliver insights faster. Every genome sequenced has the potential to accelerate rare disease diagnosis, guide precision oncology, and inform public health at scale."
Early adopters of the T7+ are already deploying it in population-scale studies, where its short-read power, combined with cyclone long-read data, enhances structural variant detection and rare disease analysis. Others are pairing the T7+ with long-read platforms for single-cell studies, opening new opportunities in understanding genetic diversity and cellular complexity.
T7+ is now open to order. International shipments begin in late 2025.
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
MGI Tech Introduces DNBSEQ-T7+: A Next-Generation 'Data Mining Machine' for Genomics
SAN MATEO, Calif., Dec. 13, 2025 /PRNewswire/ -- AI infrastructure company EverMind has recently released EverMemOS, an open-source Memory Operating System designed to address one of artificial intelligence's most profound challenges: equipping machines with scalable, long-term memory.
The Memory Bottleneck
For years, large language models (LLMs) have been constrained by fixed context windows, a limitation that causes "forgetfulness" in long-term tasks. This results in broken context, factual inconsistencies, and an inability to deliver deep personalization or maintain knowledge coherence. The issue extends beyond technical hurdles; it represents an evolutionary bottleneck for AI. An entity without memory cannot exhibit behavioral consistency or initiative, let alone achieve self-evolution. Personalization, consistency, and proactivity, which are considered the hallmarks of intelligence, all depend on a robust memory system.
There is a consensus that memory is becoming the core competitive edge and defining boundary of future AI. Yet existing solutions, such as Retrieval-Augmented Generation (RAG) and fragmented memory systems, remain limited in scope, failing to support both 1-on-1 companion use cases and complex multi-agent enterprise collaboration. Few meet the standard of precision, speed, usability, and adaptability required for widespread adoption. Equipping large models with a high-performance, pluggable memory module remains a core unmet demand across AI applications.
Discoverative Intelligence
"Discoverative Intelligence" is a concept proposed in late 2025 by entrepreneur and philanthropist Chen Tianqiao. Unlike generative AI, which mimics human output by processing existing data, Discoverative Intelligence describes an advanced AI form that actively asks questions, forms testable hypotheses, and discovers new scientific principles. It prioritizes understanding causality and underlying principles over statistical patterns, a shift Chen argues is essential to achieving Artificial General Intelligence (AGI).
Chen contrasted two dominant AI development paths: the "Scaling Path," which relies on expanding parameters, data, and compute power to extrapolate within a search space, and the "Structural Path," which focuses on the "cognitive anatomy" of intelligence and how systems operate over time.
Discoverative Intelligence falls into the latter category, built on a brain-inspired model called Structured Temporal Intelligence (STI) that requires five core capabilities in a closed loop: neural dynamics (sustained, self-organizing activity to keep systems "alive"), long-term memory (storing and selectively forgetting experiences to build knowledge), causal reasoning (inferring "why" events occur), world modeling (an internal simulation of reality for prediction), and metacognition & intrinsic motivation (curiosity-driven exploration, not just external rewards).
Among these capabilities, long-term memory serves as the vital link between time and intelligence, highlighting its indispensable role in the path toward achieving true AGI.
EverMind's Answer
EverMemOS is EverMind's answer to this need: an open-source Memory Operating System designed as foundational technology for Discoverative Intelligence. Inspired by the hierarchical organization of the human memory system, EverMemOS features a four-layer architecture analogous to key brain regions: an Agentic Layer (task planning, mirroring the prefrontal cortex), a Memory Layer (long-term storage, like cortical networks), an Index Layer (associative retrieval, drawing from the hippocampus), and an API/MCP Interface Layer (external integration, serving as AI's "sensory interface").
The system delivers breakthroughs in both scenario coverage and technical performance. It is the first memory system capable of supporting both 1-on-1 conversation use cases and complex multi-agent enterprise collaboration. On technical benchmarks, EverMemOS achieved 92.3% accuracy on LoCoMo (a long-context memory evaluation) and 82% on LongMemEval-S (a suite for assessing long-term memory retention), significantly surpassing prior state-of-the-art results and setting a new industry standard.
The open-source version of EverMemOS is now available on GitHub, with a cloud service version to be launched late this year. The dual-track model, combining open collaboration with managed cloud services, aims to drive industry-wide evolution in long-term memory technology, inviting developers, enterprises, and researchers to contribute to and benefit from the system.
About EverMind
EverMind is redefining the future of AI by solving one of its most fundamental limitations: long-term memory. Its flagship platform, EverMemOS, introduces a breakthrough architecture for scalable and customizable memory systems, enabling AI to operate with extended context, maintain behavioral consistency, and improve through continuous interaction.
To learn more about EverMind and EverMemOS, please visit:
Website: https://evermind.ai/
GitHub: https://github.com/EverMind-AI/EverMemOS
X: https://x.com/EverMindAI
Reddit: https://www.reddit.com/r/EverMindAI/
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
AI Infrastructure Company EverMind Released EverMemOS, Responding to Profound Challenges in AI
