Bud Novaria AI OS, delivered with LTM.
The operating system for enterprise AI — from silicon to safe AI outcomes, on one platform the enterprise owns. Run, govern and scale AI on any infrastructure, with any model, under one control plane: on-premises, in any cloud, at the edge or fully air-gapped. LTM leads the customer and the solution; Bud provides and stands behind the platform.
Download resources
An executive brief and three technical whitepapers on the platform behind the joint offerings. Each is a PDF, free to download.
Executive briefSovereign AI in four pages: one stack, inside your own borders
Why sovereign AI now, how the Bud and LTM stack maps from silicon to outcomes, and the compliance it satisfies.
Technical whitepaperSovereign AI: the full-stack operating system for national and enterprise AI
The architecture, the LTM AI Factory delivery model and the flywheel that cuts dependence on foreign frontier models.
Technical whitepaper · BankingSovereign Banking AI: the AI operating system a bank owns and runs in-house
BankingCore for banks across India and EMEA — built for RBI, DPDP and examiner scrutiny, from assistant to autonomy.
Technical whitepaper · EnterpriseSovereign Enterprise Hybrid AI: open and closed models on one governed platform
Multi-model, multi-cloud and multi-infrastructure — how one platform ends the fragmentation tax, and the next 30 days.
Six joint offerings, already winning deals.
Each offering is a ready-made way into an account — and every one runs on Bud Novaria AI OS.
Sovereign AI Platform
In-country or air-gapped AI that keeps data, models and decisions within your borders.
Sovereign Enterprise Hybrid AI
Open and closed models on one governed platform, on-premises or on any hyperscaler.
Joint CSP Solution
Turns CSP GPU capacity into a generative-AI-ready business, from GPUaaS to agents.
Sovereign Banking AI
An AI OS the bank owns and runs, built for RBI, DPDP and examiner scrutiny.
MCP Server & integration
Core and legacy systems as governed MCP tools, on-premises or on any hyperscaler.
Edge inferencing stack
Low-latency AI on site, on hardware you own, under the same controls as the core.
Delivered with LTM — one platform, clear ownership.
Leads the customer and the solution
- Advisory and use-case selection
- Integration with customer systems, and programme management
- Managed services (L1–L2)
- One reusable platform for every AI engagement — and a way to bid on sovereign and regulated work
Provides and stands behind Novaria
- Solution design, demos and OEM authorisation
- Platform sizing, security and governance; installation, validation and hand-over
- L3–L4 support, upgrades, model refresh and platform SLAs
- Owns model output, security and guardrails
Why enterprise AI needs an operating system.
Almost every enterprise is experimenting with AI. Very few run it in production, on their own data, under their own rules. A pilot proves a model can answer a question; production proves the business can trust it, afford it, secure it and run it every day. Four walls stand between the two — and fewer than 5% of agents get through.
Integration is a hidden tax
Going live takes GPU software, serving engines, model APIs, vector databases, connectors, agent frameworks, guardrails, evaluation, cost tracking and a user interface — each from a different vendor, rebuilt for every project, cloud and chip.
Control, cost and day two
The most valuable data often cannot leave. Regulators ask how each decision was made. Token bills rise with every success while GPUs sit idle — and once live, models drift with no platform to monitor and improve them.
What an AI operating system is
A computer’s operating system drives the hardware, runs the applications, controls who can do what and keeps everything secure — so each application doesn’t have to. Bud Novaria AI OS does the same for enterprise AI.
It takes the common jobs away from every AI project and does them once, for all of them. Teams build use cases, not plumbing — and can change chips, clouds or models without rebuilding what sits on top.
| A computer OS… | Novaria | For the enterprise |
|---|---|---|
| Drives any hardware | LayerZero | One runtime across 600+ chips |
| Runs applications | AI Foundry | Any model, routed per request |
| Manages files & access | Data Foundry | Company data, permissions kept |
| Users & security | SENTRY | Policy and audit on every call |
| Desktop & app store | Studio · Agent | 60+ ready agents, plain-language builder |
The four questions every CIO now asks
… and the Novaria answer.
Where does my data go?
Nowhere. Novaria runs inside the enterprise boundary, fully offline if needed.
What will it cost at scale?
Less each quarter: routing, caching and owned models, metered per team and agent.
Who is accountable?
Every call is governed and recorded in a tamper-evident audit trail.
Can I change my mind?
Yes. Models, chips and clouds change without rebuilding anything on top.
Six jobs, one control plane.
The six jobs every production AI system needs, each delivered by named Bud products — all sharing one identity, one policy, one audit trail and one cost view.
Run on any infrastructure
One runtime across 600+ chips. GPUs shared, sliced and metered across teams; bare metal, VMs, Kubernetes and SLURM from one catalogue.
Serve and route any model
Frontier and open models behind one gateway, each request routed by cost, quality and risk. Text, voice, vision and documents.
Govern every call
160+ policies, guardrails under 10 ms on standard CPUs, 47+ compliance packs, human approvals and a hash-chained audit trail.
Connect data and systems
200+ permission-aware connectors, knowledge graph and cited search; ERP, CRM and legacy apps become governed tools for agents.
Build and run agents
Durable agents that plan and act; 60+ pre-built; a plain-language builder; access from chat, voice, desktop, browser, IDE or API.
Own and improve models
Fine-tune and distil into private models across 120+ architectures; real usage retrains them; 140+ benchmark gates before release.
One request, end to end
Find invoices overdue by 60+ days and draft reminders.· illustrative
- Ask
A finance manager asks in Studio; single sign-on identifies them.
Studio - Check
SENTRY confirms access and masks personal data.
SENTRY - Plan
The agent breaks the task into steps.
Agent - Fetch
The ERP is called as a governed tool; only permitted records.
Data · MCP - Route
Drafting goes to a small in-house model on owned hardware.
AI · LayerZero - Approve
Output checked; the manager approves before sending.
SENTRY · Agent
One stack to train, deploy, evaluate, secure, consume and automate.
Nine natively integrated products replacing the 40+ tool stack, numbered from the silicon up.
Faster, cheaper, safer — and owned.
Pilot to production in weeks
Use cases, not plumbing. Use case one hundred runs on the same platform as use case one.
Lower on day one, lower every quarter
40%+ lower from day one; then work moves to small owned models and idle GPUs get used.
AI the regulator can approve
Compliance on every request; every decision reconstructable; one security review.
AI the enterprise owns
Data, models and agents stay inside the boundary, on open standards.
Figures vary by workload.
How to start
Prove it in 30 days.Customer engagement & requirement assessment
LTM and Bud meet the customer to understand goals, data constraints, existing infrastructure and priority use cases.
Deep dive & solution definition
Requirements are mapped with LTM and Bud architects; the first use cases are chosen and the solution defined on Novaria.
Board-ready value case
Use cases, architecture and economics, on the platform the customer will scale on.
Bring Bud Novaria AI OS to your next account.
See the platform end to end with Bud and LTM architects — secure, compliant and scalable AI, from inference and governance to agents, on-premises, in any cloud, at the edge or fully air-gapped.