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Deploy sovereign AI on your infrastructure - in weeks, not months.
Build agents in Studio. Put them to work in Workroom. Run them in production with Control Room. One sovereign platform, three surfaces, eighty-plus pre-built agents to start.
Sovereign by design. Zero data egress. Air-gapped ready.
§ 01 · Why sovereign matters
Hyperscaler agent platforms are fast to start and cheap to abandon. They send your data, your tools, and your domain knowledge to someone else’s cloud. Katonic is the alternative: sovereign deployment, open standards, ninety days to live.
Hyperscalers
AWS · Azure · GCP
Katonic AI
Sovereign agent platform
Data location
Where your data physically resides
Their cloud regions
Limited to provider data center locations
Your infrastructure, anywhere
On-prem, private cloud, or any region you choose
Data sovereignty
Legal jurisdiction over your data
Subject to US CLOUD Act
Foreign governments may access your data
Complete control, zero egress
Data never leaves your legal jurisdiction
Cost model
How you pay for AI infrastructure
Usage-based, unpredictable
Costs scale unexpectedly with adoption
Predictable, fixed infrastructure
Budget with confidence, scale without surprises
Vendor lock-in
Ability to switch providers
High (proprietary services)
Migrating away is costly and complex
None (Kubernetes-native)
Open standards, portable everywhere
Source code access
Ownership of agents and applications
Black box, no access
Cannot inspect, modify, or audit agent logic
Full source code included
80+ agents with complete source, modify and extend freely
Agentic frameworks
Frameworks for building AI agents
Proprietary, limited open
Vendor tooling prioritised, open frameworks restricted
All open frameworks supported
LangChain, CrewAI, AutoGen, LlamaIndex and more
Geopolitical risk
Exposure to international tensions
Services can be restricted
Sanctions or policy changes can cut access
Strategic independence
Your AI runs regardless of global politics
If your agents need to run inside your perimeter, talk to your data without leaving your cluster, and use models you can switch out tomorrow — Katonic is the only platform that ships in 2026.
§ 02 · The platform
Your team builds agents in Studio. Your employees work alongside them in Workroom. Your platform team runs them at scale in Control Room. Three roles, three surfaces, one Kubernetes-native platform underneath.
Where your team builds agents.
Five build paths from no-code to BYOA. Step-by-step Guided Builder, AI Builder for plain-English creation, Workflow Designer for visual DAGs, Code Builder for full SDK access, BYOA to bring agents from any framework.
Where employees work alongside agents.
A generalist agent that knows your enterprise, calls in specialists when needed, and does work end-to-end. Ask, create, execute. The destination for everyone in the organisation.
Where agents run in production.
Deploy models, fine-tune on your data, manage GPUs, govern AI at scale. Per-agent FinOps, three-layer guardrails, full audit trails. The operational backbone.
The Workroom generalist agent
Employees ask one question. The right agent answers, the right tool fires, the right data is queried — all governed, all auditable, all on your infrastructure.
Figure 2.1 · Studio · Workflow Designer
FIVE WAYS TO BUILD
Five build paths from no-code to full IDE: Guided Builder, AI Builder, Workflow Designer, Code Builder, BYOA. All five publish the same NAT package. All five run on the same governed runtime. Studio also gives builders self-service workspaces, fine-tuning, and app deployment.
No-code wizard for analysts, full IDE for engineers
Eval gates with auto-rollback before production
Workspaces, fine-tuning, deployment without tickets
Figure 2.2 · Workroom · Welcome screen
ANY MODEL · CITED · AUDITED
Tuesday · 9:42 AM
Ace is ready · 4 open threads
Pick up where you left off
Workroom is what every employee uses. Chat with any model IT approves. Run pre-built agents that complete real work. Permission-aware retrieval, citations on every answer, audit logs by default.
One login, any approved model - GPT-4, Claude, Gemini, Llama
Agents complete work, not just answer questions
80+ pre-built agents, voice, file uploads, ⌘K
Figure 2.3 · Control Room · Operations dashboard
GOVERNED · OBSERVED · COSTED
customer-triage-v3jane@katonic.aiopenai-prodops@katonic.aillm-mistral-7bml@katonic.aihr-policies-2026admin@katonic.aiControl Room is where IT runs the AI factory. Manage GPUs with NVIDIA KAI scheduling, route to 2,600+ models through the AI Gateway, configure 8 guardrail rail types, and track cost per agent per GPU. Set the boundaries Studio and Workroom work within.
NVIDIA KAI scheduling - prod guaranteed, test preemptible
Three-layer guardrails - NeMo NIMs, NAT instrumentation, governance proxy
Per-agent cost tracking, audit trails, RBAC
§ 03 · Trusted by governments and enterprises across 11 countries
All customers →
ePLDT
Pilipinas AI · National platform
MODON
Saudi Authority · Industrial Cities
KAUST
Research University · 1,000+ users
e&
Etisalat Group · Sales operations
Govt of Maharashtra
State government · Citizen services
Built on the world’s leading infrastructure
How NVIDIA powers Katonic →
Tech & implementation partners · Compute · Cloud · Software · Services
§ 03 · The marketplace
Hyperscalers give you SDKs and starter templates. Katonic ships eighty production agents with full source code on day one. Customise them, extend them, build new ones in Studio. Your platform team owns every line.
“Find that policy document from last quarter.”
“Query my warehouse without writing SQL.”
“Analyse our top three competitors this week.”
“Draft the board pack from last quarter’s data.”
“Screen this stack of CVs against the job description.”
“Process invoices end-to-end with your approval rules.”
“Resolve tier-1 tickets without escalating.”
“Triage this incident and run the runbook.”
And seventy-two more
Every agent ships with source code. Customise, extend, or use as a reference for what you build next.
SEE ALL AGENTS →§ 04 · The framework
BCG’s enterprise agent research identifies ten components every production agent platform must deliver. Katonic is built on this framework: eight components delivered out of the box, one in partnership with the LLMOps layer, one your existing data platform.
75%
of technology leaders fear silent failure on AI investments: spending without real impact.
BCG, 2025
Three-layer: content safety, trajectory instrumentation, governance proxy
Prompt lifecycle, evaluation pipelines, agent observability
240+ governed MCP tools, agent versioning, publish/promote/rollback
2,600+ models via 140+ providers, BYOK, budget enforcement
Five build paths: visual, conversational, workflow, IDE, BYOA
LangChain, CrewAI, AutoGen, LlamaIndex, native runtime
Production execution, hot-reload, immutable agent versions
Short-term context, long-term semantic search, per-org isolation
Per-agent observability, cost attribution, full audit trail
Your existing Snowflake, Databricks, SAP, SharePoint — we connect, never duplicate
8
Delivered by Katonic
Guardrails, MCP, Gateway, Builders, Framework, Runtime, Memory, FinOps
1
Joint with partners
LLMOps via Red Hat, SUSE, NVIDIA partners. Katonic adds prompt and agent eval.
1
Your existing data platform
Snowflake, Databricks, SAP, SharePoint, S3 — we connect, never duplicate
Framework adapted from BCG, “Building Effective Enterprise Agents,” AI Platforms Group, November 2025. Component definitions paraphrased for clarity.
§ 05 · Proof
We don’t talk about sovereign AI in the abstract. We’ve deployed it for nations and industrial complexes. Two production references at scale, with named customers, sourced quotes, and patterns your platform team can replicate.
First sovereign AI cloud in Southeast Asia.
ePLDT, the ICT arm of the Philippines’ largest telco, chose Katonic to power Pilipinas AI — the nation’s first sovereign AI solutions stack. Banks and government agencies as anchor tenants. Full Workroom, Studio, and Control Room deployment.
“With Pilipinas AI, we are ensuring that Philippine enterprises take that leap onto solid ground, supported by secure infrastructure, trusted partners, and a vision for sustainable digital progress.”
ePLDT
115M
Citizens served
100%
Data sovereignty
0
Bytes left country
AI Centre of Excellence for thirty-six industrial cities.
MODON selected Katonic as the foundation for AI services across Saudi Arabia’s industrial ecosystem. Sovereign in-kingdom per NDMO. Vision 2030 aligned. Delivered through Takween AI and ASAS. Operational across 36+ cities.
“Katonic powers smart manufacturing and operational excellence across the Kingdom’s industrial cities, aligned with Vision 2030.”
MODON deployment brief
36+
Industrial cities
8wk
Pilot to production
100%
In-kingdom data
§ 06 · Industries
§ 07 · For service providers
Telcos, MSPs, and consultancies use Katonic AI Cloud to deliver sovereign AI services to their enterprise customers without building the platform themselves. Multi-tenant. Co-branded. Usage-based billing. Live in 90 days.
Multi-tenant by design
Per-org isolation, custom branding, quotas
Usage-based billing
Per query, per agent, per GPU hour
GPU orchestration
MIG slicing, pool management across customers
Distributor Console
Single pane to manage your entire AI cloud business
Powered by Katonic
Indicative metrics from Pilipinas AI deployment
§ 08 · Next step
From first call to production in weeks, not months. No data leaves your environment, even during the demo. Bring your existing infrastructure, your data sources, and your top three use cases.
Leave with an architecture, a sizing, and a deployment plan.
Deploy on-prem, private cloud, or air-gapped. Same agents, your perimeter.
100+ connectors, permission-aware. Your ACLs respected, your data never copied.
Builders use Studio. Employees use Workroom. Platform team runs Control Room.