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Shakudo Inc.

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www.shakudo.ioToronto, Ontario, CanadaUpdated

Shakudo provides an enterprise AI platform that runs in customers’ own infrastructure, enabling secure data integration, governance, and AI workflows at scale.

Overview

Shakudo is a Toronto-based enterprise AI company that provides an AI platform designed to run inside customer cloud or on-premises environments. It unifies data integration, AI governance, and development tools to enable organizations to build, deploy, and manage AI workloads at scale while keeping data and models inside the customer perimeter. The platform is oriented toward security, privacy, governance, and operational control, with emphasis on avoiding vendor lock-in and enabling collaboration between data teams and business units. By supporting cross-functional workflows across industries, Shakudo helps enterprises harness AI for decision support, automation, and analytics, delivering measurable business outcomes in a governed, auditable, and scalable way.

Mission statement

To accelerate the impact of data and AI for commercial use by delivering a platform that runs in customers’ own infrastructure, enabling secure, governed, scalable AI deployment.

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What we offer

Sovereign AI

Integrate AI securely into your business processes while retaining control over your data.

Pricing not published

www.shakudo.io/product/sovereign-ai

AI Cost Optimization

Control and optimize AI expenditures while enhancing operational efficiency and accountability.

Pricing not published

www.shakudo.io/product/ai-cost-management

Enterprise Security & Governance

Enhance AI security and governance while maintaining data sovereignty.

Pricing not published

www.shakudo.io/product/ai-governance-platform

AI Platform

Empower your enterprise with a unified platform for AI and data integration.

Pricing not published

www.shakudo.io/platform

AI Gateway

Enhance AI operations with secure routing and governance for every model call.

Pricing not published

www.shakudo.io/product/ai-gateway

Market segments

Market size by segment

Growth potential (CAGR)

AI governance and compliance

0.3 Billion USD26.9% CAGR

Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.

Products: Enterprise Security & Governance, AI Platform, AI Gateway, Sovereign AI

On-premises and sovereign AI infrastructure

18.5 Billion USD22% CAGR

Infrastructure and deployment capabilities that keep data and models inside customer perimeter, supporting on‑prem, hybrid, and multi‑cloud deployments with data sovereignty controls.

Products: Sovereign AI, AI Platform, AI Gateway, Enterprise Security & Governance

AI cost and infrastructure optimization

2.5 Billion USD20% CAGR

Financial governance and infrastructure management for AI that tracks and attributes spend, provides cost visibility and budgeting, recommends optimization and sizing, and automates resource provisioning to reduce operational expenses.

Products: AI Cost Optimization, AI Gateway

Model-Agnostic Runtime and Deployment

3.5 Billion USD44.2% CAGR

Model-agnostic access and orchestration across 200+ models and compatibility with multiple agent frameworks for deploying and running AI applications.

Products: AI Gateway, AI Platform, Sovereign AI

More information about our offering

Sovereign AI

A full-stack AI infrastructure that runs on compute you own, inside your perimeter. Deployment solution for Sovereign AI within customer environments, facilitating seamless integration of AI into critical business operations while ensuring data remains on-premises.

Pricing not published

  • Retain Control Over Data
    Sovereign AI enables you to execute AI operations entirely within your own network, guaranteeing full oversight and regulatory compliance.
  • Maintain Data Control
    Every aspect of AI processing occurs within the customer's own infrastructure, eliminating concerns around data sovereignty and external access.
  • Seamlessly Deploy AI
    Run the AI stack on your existing infrastructure, be it private cloud, public cloud, or on-premises, without vendor lock-in.
  • Enhance Data Security
    Sovereign AI adheres to stringent security standards, including role-based access controls and encryption, guaranteeing that your AI operations are secure.
  • Ensure Compliance Standards
    Facilitates adherence to legal and regulatory requirements, allowing organizations to utilize AI without compromising data security.
  • Maintain Comprehensive Records
    The platform logs all user actions and model interactions, providing a transparent and auditable trail suitable for compliance checks and accountability.
  • Implement Robust Governance
    Facilitates detailed monitoring and auditing of AI deployments, providing organizations with confidence in their AI operations.
  • Seamlessly Integrate
    Allows organizations to leverage their existing infrastructure, bringing AI capabilities into established processes without disruption.
  • Streamline AI Operations
    Consolidate various AI functionalities, from data integration to model governance, to simplify management and boost efficiency.
  • Enhance Deployment Flexibility
    Provides organizations the ability to run and optimize AI workloads across various systems tailored to their operational preferences.

AI Cost Optimization

AI cost optimization for enterprise deployments, aimed at enhancing transparency and managing expenses associated with artificial intelligence systems.

Pricing not published

  • Gain Insight Into Every AI Dollar
    Understand the allocation of your AI budgets, broken down by user, team, model, and agent, enabling better financial management.
  • Reduce Costs By Up To 80%
    Ensure that the least expensive but effective model is used for each request, resulting in substantial savings.
  • Prevent Uncontrolled Spending
    Avoid overspending by automatically managing budgets and providing alerts if limits are approaching.
  • Eliminate Redundant Costs
    Dramatically decrease the token costs associated with repetitive context, allowing for more efficient AI interactions.

Enterprise Security & Governance

Shakudo's Enterprise Security & Governance offers a unified control plane that governs every AI model, agent, and workflow within your infrastructure, enhancing compliance, security, and operational efficiency without sacrificing data sovereignty.

Pricing not published

  • Control Access Automatically
    RBAC allows the system to automatically apply the same access rules to agents as applied to their operators, ensuring secure actions while simplifying management.
  • Ensure Compliance Easily
    These logs provide a comprehensive record for compliance audits and decision reviews, enabling organizations to meet stringent regulatory standards.
  • Set Policy Before Deployment
    Guardrails ensure that all AI interactions adhere to your organizational policies before any model acts on data or executes requests.
  • Centralize Management
    A unified governance model consolidates all AI components, facilitating seamless security management and compliance oversight.
  • Keep Data On-Premises
    This setup ensures no sensitive information ever leaves your environment, catering specifically to regulated industries.

AI Platform

One foundation for data, models, and AI workloads.

Pricing not published

  • Maintain Regulatory Compliance
    Enforce policies and controls intrinsic to each AI action, providing a clear audit trail and accountability.
  • Streamline Data Connectivity
    Easily integrate various data sources into one cohesive ecosystem to enhance analytics and reporting.
  • Achieve Data Sovereignty
    Ensure your data remains within your control, adhering to compliance and security standards without egress.
  • Ensure High Performance
    Automatically scale compute resources to handle varying workloads, ensuring optimal performance during peak times.
  • Empower Non-Technical Users
    Allow subject matter experts to build solutions autonomously, reducing reliance on IT for every task.
  • Utilize Tailored AI Solutions
    Flexibly integrate diverse machine learning models that best fit your business needs.

AI Gateway

Route, secure, and observe every model call.

Pricing not published

  • Route to The Right Model Automatically
    60-80% of enterprise requests don't require expensive models. The AI Gateway routes requests intelligently, maximizing cost efficiency without sacrificing quality.
  • Access Every Model Provider Through A Single API
    Connect to OpenAI, Anthropic, Google, and self-hosted models with one unified interface, simplifying integration and deployment.
  • Ensure Compliance With Control Over AI Actions
    Enables organizations to maintain a high level of accountability and security in their AI operations.
  • Monitor and Optimize Your AI Spending
    Helps organizations understand their AI spend in detail and manage budgets effectively for cost efficiency.
  • Reduce Context Costs by Up To 90%
    Cuts down on unnecessary token usage by summarizing and streamlining context, leading to significant savings in operational costs.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance and compliance

Estimate based primarily on published market reports in the provided results. Fact.MR reports a 2024 base value of US$298.5M and a 26.9% CAGR to US$3.22B by 2034; Precedence Research and MarketsizeAndTrends report higher forecasts/CAGRs (35.7% and 28.5% respectively). Gartner (cited by Nemko Digital) forecasts the AI governance platforms segment will exceed US$1B by 2030. I selected the more conservative Fact.MR 2024 baseline (≈US$0.30B) and its CAGR (26.9%) as the primary estimate while noting higher vendor estimates in the citations.

On-premises and sovereign AI infrastructure

Search results show strong demand drivers for on‑premises and sovereign AI (cost pressures in public cloud, repatriation, vendor/enterprise emphasis on data sovereignty and on‑prem frontier models). No explicit market-size figures were present in the results, so the estimate uses market‑hierarchy reasoning: the segment is a subset of global AI infrastructure (servers, GPUs, storage, HCI, software) and enterprise cloud repatriation spending. Given current enterprise AI hardware/software spend dynamics and growing sovereign/cloud‑repatriation initiatives, a near‑term global on‑prem/sovereign AI infrastructure market is estimated in the mid‑teens of billions USD with high growth as organizations shift workloads in‑house. CAGR reflects accelerated adoption driven by regulatory, security, and cost control factors.

AI cost and infrastructure optimization

Estimate based on the small, specialised nature of AI cost/infrastructure optimization relative to overall AI infrastructure and data center markets. A published IT cost-optimization services market is ~USD 1.68B (2025) and projected to grow (to USD 5.22B by 2035). AI infrastructure & compute is much larger (USD 110B in 2025 to USD 340B in 2030, ~25% CAGR), and data center infrastructure shows ~USD 49.6B in 2025 with ~12% CAGR. Allocating a modest share (roughly 1–3%) of AI infrastructure and leveraging the existing IT cost-optimization base yields an approximate current global market size of ~USD 2.5B. Given rapid AI spending growth, a higher CAGR than traditional IT cost optimization is likely; I estimate ~20% CAGR reflecting AI compute growth (25%) tempered by slower IT services growth (≈12%).

Model-Agnostic Runtime and Deployment

Estimate derived from published AI platform and ModelOps market figures in the search results. MarketsandMarkets values the AI platform market at ~USD 18.22B (2025) and identifies the Model Deployment & Serving functionality as the fastest-growing subsegment (CAGR 44.2%). MarketResearchFuture reports the ModelOps market at USD 4.339B (2024). The model-agnostic runtime & deployment capability sits at the intersection of ModelOps, model hosting and deployment/serving; using ModelOps as a proximate upper bound and deployment/serving as the growth benchmark yields a conservative current-size estimate of about USD 3.5B and growth potential aligned with the 44.2% CAGR cited for deployment & serving.

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