T24Global proprietorship and BLR Cloud product company
About Space Process AI
Space Process AI is a BLR Cloud business initiative operated through the proprietorship entity T24Global, founded by Anand Sagar. It exists to convert complex industrial work into process data science, sovereign AI workflows and ERP 2050 operating-system modules.
Founder and entity
T24Global is the proprietorship entity founded by Anand Sagar, and Space Process AI is presented as a BLR Cloud product and operating narrative for the next generation of enterprise process intelligence. Anand Sagar brings more than 20 years of professional experience across technology, enterprise systems, services, architecture, delivery and business transformation. In the last few years, the team has provided IT services to companies in India while steadily building the product thinking, industry mappings and execution discipline required for a larger global platform.
The company is intentionally agile and fast in development. Space Process AI is not framed as a generic website or a loose AI demo. It is being built as a Process AI powered Business Operating System, with ERP 2050 at the core, so industries can move from fragmented applications and documents into governed process lanes, forms, tables, controls, dashboards, forecasts, anomaly detection, process mining and local LLM-assisted execution.
Our ambition is direct: to become the largest Process AI powered Business Operating System product company in the world. That ambition is supported by a growing library of industry process mappings, including 65 industry mappings completed by now, and by deep focus on sovereign solutions, GenAI, private AI, local LLM-based solutions and enterprise-grade operating controls. Space Process AI applies that thinking first to the space, rocket and satellite economy, where mission work is high value, high consequence and deeply process dependent.
As an IT services provider, the team has learned that most organizations do not fail because they lack software. They struggle because work is split across tools, approvals, spreadsheets, emails, documents, tribal knowledge and dashboards that do not agree with one another. Process data science gives leadership a way to convert that scattered reality into measurable events, evidence, bottlenecks and decisions. ERP 2050 is designed as the core layer that can hold those events together and make them useful.
Space Process AI emphasizes marksmanship: precise industry mappings, precise process lanes, precise forms, precise charts and precise local AI actions. The product direction is sovereign by design because many critical industries need control over data, models, infrastructure, jurisdiction and decision records. The platform direction includes GenAI where it helps, local LLMs where privacy and control matter, and human approval where operational accountability cannot be delegated to a model.
For customers, this means faster development, clearer operating views and a practical route from business pain to executable workflow. For investors, it means a product company with a large market ambition, a differentiated process-science thesis and a rapidly growing module library. For partners, it means an operating system vision that can connect industry processes, enterprise software, AI infrastructure and measurable value into one disciplined product story.
Space Process AI also reflects a services-to-product transition. The services background matters because real enterprise work exposes the messy truth of operations: unclear handoffs, slow approvals, repeated data entry, weak evidence trails, hidden bottlenecks, dashboards that arrive too late, and AI experiments that are not anchored to accountable process ownership. Anand Sagar and T24Global are using that practical background to build a product company that is fast in execution but disciplined in architecture. The objective is to give customers a business operating system where every important workflow can be mapped, measured, automated carefully, improved continuously and explained clearly to management. That is why the site emphasizes ERP 2050, process data science, theory of constraints, sovereign AI, local LLM readiness and industry-specific module pages rather than generic AI slogans.