Tenzro Labs
Services

Alternatives to centralized vendor AI.

Consultation, design, development, and deployment for AI clusters and networks — for teams that want to own their AI infrastructure.
Proven at scale

Every service we offer is grounded in proven experience as the core developer of the Tenzro Network — the same stack we design and deploy for clients runs in production on a public network at scale.

We are also a Canton Network partner with deep experience in the design and development of institutional blockchain systems.

01 · Consultation

Strategy and architecture for decentralized AI.

02 · AI cluster design & deployment

AI clusters deployed in diverse environments — without a data center.

03 · Custom AI models

Custom model design, development, training, and deployment.

04 · Private Tenzro networks

Sovereign deployments of the Tenzro Network.

05 · Canton Network & institutional blockchain

Canton Network partner for institutional systems.

06 · AI governance

AI governance through standards design.

07 · Development

Custom frameworks, applications, and agentic systems.

08 · Operations & support

Managed operations for clusters and networks.

01 · Consultation

Strategy and architecture for decentralized AI.

For organizations evaluating decentralized AI, planning a migration away from a centralized vendor, or designing an in-house AI strategy that does not depend on a hyperscaler.

Vendor independence assessment
Audit existing AI workloads, costs, and lock-in. Identify which workloads can be moved to a self-hosted, decentralized, or hybrid model.
Architecture & roadmap
Design the target architecture — compute, models, identity, orchestration — and a phased roadmap to get there without breaking existing systems.
Decentralized AI advisory
Ongoing technical advisory for teams adopting open AI infrastructure, agentic systems, verifiable training, or on-chain settlement.
02 · AI cluster design & deployment

AI clusters deployed in diverse environments — without a data center.

We design AI clusters built on embedded AI hardware — the NVIDIA Jetson family and other embedded AI platforms — so clusters can be deployed at the edge, on-premise, in the field, or anywhere a hyperscale data center would be impractical. The Tenzro Network provides the network and software infrastructure that ties these clusters together, enabling distributed connectivity with high-performance inference and training across them.

Sizing & topology
Right-size the cluster for your workload — model footprint, throughput, latency, redundancy, power envelope, and physical environment.
Embedded AI hardware
Build on NVIDIA Jetson family and other embedded AI platforms — proven, energy-efficient hardware that runs anywhere there is power and a network.
Software stack
Tenzro cluster runtime — model serving, sharding, scheduling, federated updates, and optional connection to the public Tenzro Network.
Diverse environments
Edge sites, retail floors, factory floors, vehicles, vessels, research outposts, secure on-premise data rooms — anywhere centralized cloud is not an option.
Deployment & operations
Provisioning, commissioning, monitoring, and ongoing operations — we deploy with you or hand over a fully documented stack your team can run.
03 · Custom AI models

Custom model design, development, training, and deployment.

We design and build custom AI models end-to-end — from problem framing and data design through training, evaluation, and deployment — and we deploy those models in the environments where they need to run, including embedded clusters, private networks, and the public Tenzro Network.

Model design
Problem framing, architecture choice, dataset design, and evaluation strategy — tailored to your domain, constraints, and hardware target.
Training
Pre-training, fine-tuning, and reinforcement learning runs — on your own hardware, on the Tenzro Network with verifiable training, or in a hybrid configuration.
Deployment in diverse environments
Optimize and deploy the resulting models for embedded AI hardware, GPU clusters, on-prem servers, or air-gapped sites — wherever inference needs to happen.
Lifecycle & evaluation
Versioning, monitoring, evaluation harnesses, and continuous improvement — so the model keeps performing as the world changes.
04 · Private Tenzro networks

Sovereign deployments of the Tenzro Network.

Operate the full Tenzro stack — consensus, tokenized inference, agent identity, settlement — inside your organization or consortium. For enterprises, research labs, and public-sector deployments that need sovereignty over their AI infrastructure.

Network design
Validator topology, governance, permissioning, and bridges to other networks (including the public Tenzro Network).
Identity & policy
TDIP identity for your users, agents, and services — with delegation, mandates, and policy that matches your organization.
Bring-your-own models
Publish internal models on the private network, serve them through standard interfaces, and meter usage with on-chain receipts.
Operations & SLA
Run-it-with-us or hand-off operations, on the schedule your organization needs.
05 · Canton Network & institutional blockchain

Canton Network partner for institutional systems.

We are a Canton Network partner with deep experience designing and developing institutional blockchain systems — Canton/DAML applications, RWA settlement, and the bridges between regulated finance and the open agentic web.

Canton / DAML applications
Design and build Canton/DAML applications — privacy-preserving smart contracts, DvP settlement, CIP-56 tokens, and Canton-native asset issuance.
Institutional integrations
Integrate Canton workflows with EVM and SVM ecosystems through the Tenzro multi-VM substrate — one identity, one settlement asset, multiple VM views.
RWA & tokenization
Real-world asset tokenization and on-chain settlement aligned with how DTCC, JPMorgan, and other institutional players are deploying on Canton today.
Compliance & audit
Operational design for regulated environments — permissioning, audit trails, identity verification, and reporting integrations.
06 · AI governance

AI governance through standards design.

We help organizations design AI governance frameworks that are technically enforceable, not just policy on paper — through open standards, on-chain attestations, agent mandates, evaluation harnesses, and policy primitives that run inside the systems they govern.

Standards design
Design open standards for AI accountability — identity, mandates, audit trails, model cards, evaluation reports — and contribute them upstream where appropriate.
Policy primitives
Translate governance requirements into runtime policy — scoped delegations, spend caps, purpose-bound mandates, and on-chain receipts that make compliance verifiable.
Evaluation & audit
Evaluation harnesses, red-teaming tooling, and audit pipelines for models, agents, and the systems that surround them.
Foundation alignment
Coordinate with the Tenzro Foundation and other public-interest bodies on open standards, public-interest tooling, and the broader AI standards ecosystem.
07 · Development

Custom frameworks, applications, and agentic systems.

Engineering services for teams that want to build on top of the Tenzro Network or adapt our open frameworks to their domain — model marketplaces, agent runtimes, training coordinators, orchestration tools.

Application development
End-to-end design and implementation of network-integrated applications — model registries, marketplaces, dashboards, billing systems.
Agentic systems
Design and build autonomous agents and the orchestration that surrounds them — identity, delegation, mandates, settlement, audit.
Framework adaptation
Fork, extend, or harden our open frameworks for specific industries, regulatory regimes, or hardware targets.
08 · Operations & support

Managed operations for clusters and networks.

Once a cluster or a private Tenzro network is in production, someone has to run it. We offer run-with-you and fully managed operations — monitoring, on-call, upgrades, and the human-in-the-loop work that keeps live infrastructure healthy.

Monitoring & on-call
24/7 monitoring, alerting, and on-call coverage for deployed clusters and private networks — with response SLAs you choose.
Upgrades & maintenance
Rolling upgrades of cluster software, network nodes, and dependent frameworks — coordinated with your release cadence.
Capacity & cost management
Capacity planning, workload-shape tuning, and cost reporting — so you know what you're running and what it costs.
Incident response
Root-cause investigation, postmortems, and follow-up work for incidents — feeding back into the design loop.
Start a conversation

Tell us about your environment, your constraints, and the workloads you need to run.

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