
AlsoThere: A Real-World Governance Plug-In for Global Expansion. We built AlsoThere to solve a massive headache for SaaS founders and tech builders: cross-border bureaucracy. Selling internationally forces you into two terrible legacy options: blow 6-12 months and massive capital (CAPEX) setting up a traditional subsidiary, or hand your product to IT resellers who hijack customer relationships. Our innovation unbundles commercial capability (selling, invoicing, collections) from the legal burden of incorporation. Think of AlsoThere as an "Infrastructure-as-a-Service" for global expansion. We built a unified operational platform with active nodes across 43 countries in the US, EU, and LATAM. Instead of managing fragmented entities, you plug into our centralized backbone. Within 48 hours, your company can legally sell, sign contracts, and issue tax-compliant local invoices in local currencies. We integrate into your commercial flow via a Representation Agreement, an Operational Governance "Plug-In". If you land an enterprise client in Colombia or Spain, you don't need a legal team for local tax rules. We act as your authorized agent, ensuring compliance with all tax, legal, and regulatory frameworks. You convert high-risk expansion into a predictable operational expense (OPEX) while retaining 100% ownership of your sales cycle. We advocate the "Tech Partner 3.0" framework, allowing you to sell directly anywhere. An international B2B transaction has four components: contract, invoicing, payment collection, and compliance. We act as your specialized transactional layer and handle these 4 steps completely. Backed by eSource Capital Group’s 20-year track record, we’ve processed over US$250M for third parties. You focus on selling; we'll handle the borders.
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SciSure is a Scientific Management Platform built to support the full range of laboratory operations for scientific organizations. It combines ELN, LIMS, and Health & Safety functionality, giving teams a single system to document experiments, track sample lineage, manage chemical inventory, and run structured, audit-ready compliance processes.
Instead of relying on disconnected systems, organizations get one governed platform that improves reproducibility, increases visibility into lab operations, and reduces risk as they scale.
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GPT-Rosalind
GPT-Rosalind is an advanced reasoning model created by OpenAI, aimed at enhancing scientific exploration in fields like biology, drug development, and translational medicine. Tailored for workflows in life sciences, it assists researchers in managing extensive literature, experimental findings, and specialized databases to formulate and test innovative concepts. By integrating a profound understanding of disciplines such as chemistry, genomics, protein engineering, and disease biology with sophisticated tool-usage capabilities, it effectively interacts with scientific databases, examines experimental results, and facilitates intricate, multi-stage reasoning tasks. Its functionalities span evidence synthesis, hypothesis formulation, literature assessment, sequence analysis, and experimental design, empowering scientists to transition more swiftly from raw data to meaningful insights. Furthermore, GPT-Rosalind revolutionizes cumbersome, time-consuming research methodologies into streamlined, AI-enhanced workflows, ultimately fostering a more productive scientific environment. This model exemplifies the fusion of artificial intelligence with scientific inquiry, paving the way for groundbreaking discoveries.
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ESMC
ESMC represents the newest advancement in the ESM series of protein language models, pushing the boundaries of representation learning within the field of protein biology. With training on billions of evolutionary sequences, it adeptly captures representations that encapsulate a mechanistic understanding of protein structure and function. The model utilizes a transformer architecture, focusing on sequences as its primary modality, and is trained on a vast dataset comprising up to 6 billion proteins. ESMC is tailored for various protein science applications, such as predicting structures, annotating functions, designing proteins, and exploring evolutionary connections among proteins. Additionally, it possesses the capability to create novel proteins based on partial sequences, structures, or functional constraints, thereby enabling researchers to investigate innovative avenues in protein design and biological discovery. Accessible through the Biohub Platform, ESMC can be utilized via an API and the ESM Python package, which includes quickstart resources for installation, API key generation, and platform connectivity, ensuring a seamless experience for users. This comprehensive accessibility encourages a broader engagement with protein research and enhances collaborative efforts in the scientific community.
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