AI Rollup
Acceleration Platform
Sovereign cloud architecture built on four pillars: CLI-First Migration Toolkit, Commoditized Intelligence, Assessment-First Methodology, and Local-First deployment.
Platform
Modules
Integrated capabilities for end-to-end migration. Run the entire agent mesh inside your VPC or on-prem.
AI Agent Foundry
Safety-first agent design and deployment
Synthetic Data
Privacy-preserving dataset generation
Model Foundry
Fine-tune domain-specific models
Automation Runtime
Composable workflow building blocks
Financial Modeling
EBITDA expansion and scenario analysis
Security & Compliance
SOC 2-ready controls and audit logging
AI Agent Foundry
Safety-first, full-lifecycle framework for designing, deploying, and managing production-ready intelligent agents.
- Safety & governance by default: guardrails, HITL approvals
- End-to-end lifecycle: architecture, testing, deployment
- Stack-agnostic: works with leading agent SDKs
Use Case: Automated Media Buying Agent
- 1.Tasked with optimizing spend across platforms within predefined budgets
- 2.Guardrails prevent scope changes; sensitive actions require human approval
- 3.Every recommendation and API action is logged for observability
Synthetic Data Generator
Privacy-preserving synthetic datasets to train, test, and scale AI initiatives without exposing client data.
- Amplify data assets while preserving statistical properties
- Multi-table relational structures, time-series, edge cases
- Differential privacy and anonymization techniques
Process Overview
Representative sample and context
Capture distributions, correlations, business rules
Train generators with privacy controls
Secure delivery with metadata and integration guidance
Enterprise Model Foundry
Fine-tune open-source models into proprietary, domain-specific AI with full data control.
- Hyper-specialized, cost-effective small language models
- No MLOps expertise required
- HITL feedback for continuous improvement
Use Case: Pharma Copywriting Copilot
- 1.Ingest approved copy and compliance guidelines
- 2.Tag and curate content to reflect regulatory constraints
- 3.Fine-tune a model that drafts on-brand, compliant copy for review
Automation Runtime
- Composable automation building blocks
- Audit trails and human-in-the-loop approvals
- Cross-portfolio knowledge sharing
Financial Modeling
- EBITDA expansion and MOIC/IRR scenarios
- Sensitivity analysis tied to automation rates
- Month-by-month cash impact projections
Blueprint Implementation
Roadmap
Assessment
- • Target due diligence and automation scoring
- • Blueprint scope, ROI model, and timeline
- • Risk register and mitigation plan
Integration
- • Platform setup and security alignment
- • Operator enablement and change management
- • Data access patterns and governance
Execution
- • Automation rollout across core workflows
- • Data migration and KPI dashboards
- • Handover and operational runbooks
Optimization
- • Model tuning and cross-portfolio insights
- • Performance reviews against KPIs
- • Exit readiness and valuation narrative
Security & Compliance
- SOC 2-ready controls and comprehensive audit logging
- Encryption in transit and at rest; key management best practices
- GDPR/CCPA-aligned data handling and minimization
- Role-based access control and least-privilege defaults
- Incident response playbooks and monitoring
Partnership Models
Enterprise coverage with dedicated success team
Performance-aligned model with shared upside
Both include diligence support and ongoing optimization.
Investor-Ready Deliverables
Ready to Explore
the Platform?
Book a demo to see how our sovereign cloud platform transforms legacy SaaS, APIs, and data into your AI-native infrastructure.
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