Why Sphere?
- Human-Centric Design: We prioritize people in every solution, ensuring our tools are intuitive, secure, and aligned with your needs.
- Proven Expertise: Our team combines AI innovation with deep sector knowledge to deliver unmatched results.
- Global Impact: From businesses to governments, Sphere drives meaningful change that creates a better world.
DIFFERENTIATORS:
- Hyper-secure and compliant technology architecture
- Extensive experience deploying LLMs/GenAI with established standards of approach
- Trusted by multi-nationals and multi-laterals with highly sensitive information
- Customer-proven scaling (scales to millions of documents and supporting many users)
- Support for wide range of environments
- Supports clients with on-premise and multiple cloud ecosystems, including: AWS, GCP, Azure and Oracle
- Supports multiple Data-warehouses: Teradata, Oracle, Databricks, and Snowflake
- Supports Multiple LLM Models – vendor or privately hosted: OpenAI GPT, Anthropic, Google Gemini, Meta Llama, and more
- Multimodal Data: File Formats including: PDF, Spreadsheets, Audio, Video, Databases, and more
- SaaS Apps including: SalesForce, MS Office 365, Google Workspace, ServiceNow, HubSpot, and more
- Team has extensive expertise working with data and AI, and deep-domain expertise in our target markets
How is Sphere Different from AI Like ChatGPT and Claude? While companies like ChatGPT focus on conversational AI, Sphere offers a comprehensive ecosystem of tools and solutions. Our technology goes beyond chatting with your data to providing a deep data analysis of it, comprehensive and actionable insights, automating workflows, and more – all of which is done within the compliance, regulatory, and best practice requirements unique to the client. Lastly, unlike the off-the-shelf tools, our solutions operate in a truly secure environment so other (both internally and external to your organization) don’t see data they’re not supposed to see.
Does Sphere Work with Solutions Like ChatGPT and Claude? Yes, Sphere integrates seamlessly with other AI solutions, such as ChatGPT and Claude. By combining their conversational strengths with Sphere’s operational and organizational capabilities, we deliver an enhanced, synergistic experience that maximizes the value of AI across applications.
What is a Deep Tech Company? A deep tech company focuses on solving complex problems through advanced technologies rooted in scientific and engineering innovation. These companies often work on breakthroughs that go beyond surface-level solutions, creating transformative tools and platforms that drive progress across industries. At Sphere, our deep tech foundation enables us to deliver cutting-edge AI solutions that empower organizations to harness their data and stay competitive in an ever-evolving world.
Why Is Being Data-Driven Important? In today’s world, the ability to create value from data is a key factor in determining competitiveness. Organizations that harness their data effectively can uncover new opportunities, streamline processes, and make better decisions. Sphere provides a powerful platform and a suite of modular solutions designed to unlock the potential of your data in simple and intuitive ways. By enabling you to generate insights, automate workflows, and drive innovation, we help you stay ahead in a rapidly changing landscape.
OrgBrain Architecture
Overview
The Sphere architecture represents a cutting-edge, full-stack AI system designed to seamlessly integrate verity of enterprise data, with choice of foundational AI models, domain-specific reasoning, and hyper-intelligent application layers.
It is tailored for regulated and mission-critical environments such as government, finance, and compliance-heavy industries. This architecture enables organizations to operationalize AI through a modular stack that covers everything from infrastructure orchestration to real-time reasoning agents.
Each layer plays a distinct role, but together they form a unified intelligence pipeline that ingests raw enterprise data and outputs intelligent decisions, processes, or agent actions. The architecture also supports full ML and IT operational lifecycle monitoring to ensure scalability, security, and auditability at every step.