Integlove💕
HyperSphere AI
HyperSphere AI OS
The integrated AI Operating System for the enterprise.
Replace “random tools” with a governed platform: dedicated agents, cross-team automation, and a foundation for your own SaaS products.
🏢 Enterprise-ready
🚀 Unified AI platform
🛠️ CTO advisory option
⚡ Custom SaaS operations
Enterprise AI Shouldn’t Be a Patchwork
Buying fragmented tools won’t produce enterprise outcomes. Integration, governance, and execution matter.
Tool sprawl & silos
Different departments adopt different AI tools. Data doesn’t connect, and optimization never happens at the company level.
Infrastructure complexity
Designing and operating an AI foundation requires specialized expertise. Internalization is hard; vendor dependence grows.
Disconnected business processes
Sales, marketing, CS, and back office run in separate workflows. Cross-functional automation remains out of reach.
Data is underused
Your data exists—but it’s fragmented. AI search, analysis, and decision support can’t work without a unified data fabric.
Upgrade From “AI Points” to an Operating System
Unify generation, search, chat, automation, governance, and data—so your organization can execute and learn faster.
One platform for integration, automation, and governance
HyperSphere AI OS brings your AI capabilities into a single governed layer—so teams can go from search → summarize → decide → execute without switching tools or losing context.
The goal is not “more features.” It’s a system that actually runs: permissions, auditing, workflows, multi-model routing, and the implementation support to get to production—not just PoC.
Unified AI workspace
Connect documents, SaaS data, and internal knowledge to complete work end-to-end in one place.
Multi-model execution layer
Route tasks to the right model (cost/quality/speed) and operate with measurable controls.
AI generation suite
Text, images, video, audio, code, and slides—embedded into real workflows for repeatable delivery.
File chat + AI vision
Query PDFs/CSV/docs, extract insights, OCR, and process media as part of workflow automation.
Governance & audit
Role-based access, logs, approvals, and external integrations designed for enterprise operations.
Implementation support
From design and integrations to automation and ongoing improvement—built to ship and sustain.
Enterprise value isn’t about “checking feature boxes.” It’s about integrating workflows, data, and access controls into a system that keeps improving after launch.
🔴 Before
- Departments adopt tools independently
- Data is scattered and siloed
- System-to-system integration is difficult
- AI remains “partial optimization”
- No clear technical strategy
🟢 After
- Company-wide unified AI platform
- Data is governed and reusable
- Workflows are automated across teams
- AI decision support becomes instant
- Strategy execution with CTO advisory
Core Capabilities
Six building blocks for a real enterprise AI operating model.
Dedicated AI agents
Company-specific agents trained on internal data and operational knowledge to support decisions and execution.
- Unified internal knowledge base
- Natural-language task instructions
- Multi-modal (docs, images, audio)
- Continuous learning and improvement
Unified AI search
Search across documents, email, chat, and databases—then summarize and explain results instantly.
- Semantic search
- Multiple data sources unified
- Role-based access controls
- Auto summarization and analysis
Cross-functional workflow integration
Automate and optimize workflows across sales, marketing, CS, and back office—without handoffs breaking.
- Cross-team automation
- Real-time data sync
- Workflow optimization
- AI-driven decision routing
Custom SaaS operations foundation
Build and operate your own SaaS platform—scalable, secure, and integration-ready.
- Multi-tenant architecture
- APIs and extensibility
- Security and authentication
- Scalable cloud infrastructure
Data fabric & analytics
Unify internal and external data, then analyze and visualize it for forecasting and decision support.
- Data lake / warehouse design
- Real-time data pipelines
- Dashboards and predictive models
- BI integrations and custom reporting
CTO advisory support
Experienced CTO guidance to align strategy, architecture, and execution across the organization.
- Roadmap and technical strategy
- Architecture design reviews
- Team enablement and hiring support
- Ongoing exec-level support
What Changes After Implementation
Move faster with lower cost and a system that keeps improving.
10×
Productivity uplift
Automate cross-team workflows and accelerate decision-making—turning AI into measurable throughput.
80%
Lower operational cost
Reduce tool sprawl and manual work, and shift resources toward strategic execution and innovation.
24/7
Continuous evolution
Keep up with AI advances and industry shifts with an operating model designed for continuous improvement.
Use Cases
Proven outcomes across industries and organization sizes.
Mid-market DX modernization
Manufacturing org (~300 employees) modernizing while coexisting with legacy systems.
Typical impact
Unified data and real-time operations reduce inventory cost by ~30%.
Research data foundation
University labs and corporate R&D teams managing large volumes of research data.
Typical impact
Integrated search and AI analysis reduce writing time by ~50% and speed up discovery.
Startup platform scaling
High-growth SaaS startup facing technical debt and hiring constraints.
Typical impact
Architecture + CTO guidance supports 5× customer growth with stable operations.
Financial services transformation
Regional financial institution improving operations and creating new data-driven services.
Typical impact
Reduce access time by ~90% and improve close rate by ~2× via AI-assisted workflows.
Pricing
Flexible tiers based on scale, governance needs, and integration scope.
Standard
From $990/mo
Implementation fee: from $10,000
- Dedicated agents (core features)
- Unified AI search (up to 3 data sources)
- Workflow integration (up to 2 departments)
- Users: up to ~50
- Storage: 500 GB
- Support: business hours
⭐ Most Popular
Professional
From $2,990/mo
Implementation fee: from $30,000
- Dedicated agents (advanced)
- Unified AI search (unlimited sources)
- Workflow integration (company-wide)
- Custom SaaS ops foundation (Basic)
- Users: up to ~300
- Storage: 5 TB
- CTO advisory (2 sessions/month)
- 24/7 support
Enterprise
From $4,990/mo
Implementation fee: from $50,000
- Full customization
- Dedicated agents (fully customized)
- Custom SaaS ops foundation (Enterprise)
- Multi-tenant + API integrations
- Unlimited users
- Unlimited storage
- CTO advisory (weekly)
- Dedicated support team
- SLA options
Prefer a full breakdown? See the pricing page.
🗺️ Generate Your Enterprise Rollout Roadmap
Answer a few questions to get a recommended implementation path and tier.
📋 Your rollout roadmap
Ready to Run AI Like an Operating System?
HyperSphere AI OS helps you unify tools, data, and workflows—so AI becomes a governed capability that compounds over time. Let’s map your fastest path to production.