Building AI is complex. Users should never know.
Users see a clean chat and a fast answer. Underneath, we run the models, data, security and safety layers that make it trustworthy.
Built for speed. Designed for your business.
Every project starts from our enterprise core, so you never pay to rebuild the basics.
- Enterprise core (included)Production-ready infrastructure, RBAC security, API layers and core AI services, already built, tested and ready to deploy.
- Custom development (tailored)The functionality that makes the product yours: business workflows, industry features and enterprise-specific logic.
Sovereign AI without public cloud AI services.
An integrated platform for full control over data, models, security and compliance.
Powered by Cisco, Red Hat and Canonical. We also support Dell, Lenovo, Oracle, HPE and Canonical Ubuntu.
The foundation for secure scaling.
Zero data leakage, on-premise deployment and enterprise-grade security. Every request stays inside your perimeter.
SECURE ENTERPRISE PERIMETER
Zero data egress
Data never leaves your premises. An air-gapped option gives complete network isolation.
Encrypted and controlled
TLS and AES end to end, with granular resource-level permissions.
Compliance ready
Built to support GDPR, HIPAA and SOC 2 requirements, with audit logs and compliance reports.
Platform patterns by sector.
The same private core—RAG, RBAC, vLLM, zero egress—configured for the compliance, latency and integration profile your vertical demands.
Public sector
Sovereign on-prem or dedicated VPC stacks, classified and citizen-data separation, long-retention audit logs, and SSO integration with government identity providers.
Why this platformProve where data lives, block external LLM egress by policy, and scale assistants across ministries without per-seat SaaS tax.
Energy and resources
Edge-friendly deployments, engineering document RAG at scale, GPU profiles for local inference at site or HQ, and Cisco-aligned secure compute/network layers.
Why this platformOperate when cloud AI is unavailable, keep subsurface and operational knowledge inside the firewall, and attribute GPU cost to assets and fields.
Retail and consumer
Hybrid stacks: private RAG for pricing and ops data, optional public burst for non-sensitive workloads, Firebase/GCP paths for customer-facing apps via QalamIDE where appropriate.
Why this platformLaunch MVPs quickly while keeping PII and trading data on controlled infrastructure—and swap models without rewriting apps.
Healthcare providers
PHI-safe private inference, permission-scoped clinical admin assistants, Elasticsearch or Postgres search tuned to role, and encryption end to end across the perimeter diagram.
Why this platformSupport HIPAA-style controls, avoid training on patient content in vendor clouds, and give compliance teams logs they can export on demand.
Banking and capital markets
Hard network boundaries, model validation hooks (Cisco AI Defense), fine-grained RBAC for desks and legal entities, and connectors to core banking and document stores read-only.
Why this platformSatisfy model-risk and data-localisation rules while delivering sub-70ms retrieval for traders and ops—not a single shared chat tenant.
Insurance
High-volume document ingestion, cited answers for claims and policy teams, multi-tenant RLS patterns, and FinOps dashboards for inference across lines of business.
Why this platformReduce claims leakage and handling time with grounded AI, retire duplicate vendor bots, and keep actuarial and customer data under your licence terms.
Aligned to your deployment model.
Designed for performance, scalability and control.
The Private AI Stack
Focus: sovereign AI, complete data control, air-gapped capability.
- Compute and network: Cisco AI Stack, Dell, Lenovo, HPE
- Infrastructure: Red Hat OpenShift, Canonical Ubuntu
- Inference and security: vLLM, Cisco AI Defense
The Public AI Stack
Focus: elastic scaling, global availability, managed models.
- Compute and network: Google Cloud, AWS, Azure
- Backend and auth: Google Cloud, Firebase
- Inference: Groq, OpenAI, Gemini, Claude, DeepSeek
Open source first drives innovation and cuts lock-in.
Open source first
Best-in-class open tools and transparent code for security audits.
Agile AI development
Rapid prototyping and continuous integration adapt to change.
Lean MVP
Core functions validate ideas, gather feedback and minimise initial cost.
Large language models
Fine-tuned open-source LLMs, generative AI and RAG.
Ready to transform your vision?
Tell us what you want AI to achieve. We will help you find the use case, build it and own it.
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