ShepHertz Launches AgentAnywhere to Bring Sovereign Agentic AI to Enterprises

In August 2026, ShepHertz Technologies launched AgentAnywhere, which is a sovereign agentic AI platform that helps banks, insurers, hospitals, governments and BPOs to run AI agents within their own infrastructure, cloud environments and jurisdictions, under their own encryption keys. The platform combines a family of models trained in India with a governance layer designed to mask personal data before it reaches a model, screen requests for prompt injection and maintain signed, auditable records of AI interactions.

The core of the platform consists of a trust layer comprising several components. Veil masks and de-identifies personal, financial, and regulated data before it reaches models, while logging each masking action. Kavach screens requests and responses for prompt injection and jailbreaks and records verdicts in an append-only log. The Agent Universal Gateway also governs model calls, tool calls and agent-to-agent communication from a central control point.

Custodian maps the platform to SOC 2, ISO 27001 and RBI controls and provides signed evidence packs. Each interaction generates a trust receipt recording information, including what was masked, what was screened, which model was used and which policy governed the interaction.

AgentAnywhere is underpinned by seven model families, all trained in India and served through the same governance layer. Taksha, the platform’s AI engineering and coding model, is generally available. Manthan for general reasoning, Kuber for BFSI, Seva for service operations and Tatva for on-device and edge deployments are planned through 2026, while Astra for defense and Sanjaya for critical telemetry are offered on a partner-scoped basis.

ShepHertz also said it is using AgentAnywhere internally for activities including marketing lead generation, enterprise RFP responses, contract review and cloud cost optimization. The company also said pilots are already running with enterprise customers ahead of the public launch.

Impact on the AI Market

AgentAnywhere is designed for organizations that are deploying agentic AI in regulated environments where data control, accountability and auditability are critical factors to consider. The platform can be deployed within a customer’s cloud, region-pinned environment or a fully air-gapped infrastructure, with models, agents and governance components that are operating within the same perimeter.

The platform also supports customers bringing their own open models, including Mistral, Qwen, GLM, Gemma, GPT-OSS and Llama, within the same security perimeter and governance framework. The company is also developing Manthan Vaani, which is an Indic-language model line, while Shuddhi serves as its data factory for cleansing training corpora and generating build manifests for training runs. ShepHertz said it is using AgentAnywhere internally for activities including marketing lead generation, enterprise RFP responses, contract review and cloud cost optimization.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, connectivity and compatibility with ERPs, CRMs, and Supply Chain Management systems are important accelerants for the adoption of AI tools in enterprises, especially when the tool works natively on the enterprise information systems that exist, so the enterprise can realize value quickly. Organizations are under pressure to reduce costs, reduce mistakes in processes, and improve return on investment. Agentic AI automates repetitive, resource-consuming tasks with greater accuracy and smarts that improve efficiencies and free up employees to do the strategic portions of their jobs.

The agentic AI in the enterprise operations market is further being driven by the shift to hyper-personalization at scale. Unlike legacy automation approaches, agentic AI can learn user preferences dynamically, autonomously reconfigure workflows, and respond contextually across various enterprise functions. The growth of agentic AI is, to a certain extent, tied to the growing demand for organizations to make autonomous decisions. Agentic AI also offers organizations the potential for lower manual intervention in tasks, contributory workflows, and acquisition agility in open environments. Initial applications that can be observed are real-time uses of agentic AI, such as AI-driven intelligent customer service agents, financial risk assessments, autonomous supply chain and logistics platforms, and workflows.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is accounted at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2034, expanding at a CAGR of 37.78% from 2025 to 2035.

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms in order to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Expert Opinion

Siddhartha Chandurkar, CEO, ShepHertz Technologies, said,

“Enterprises in regulated sectors aren’t debating whether to adopt agentic AI anymore; they’re grappling with how to do it without their most sensitive data leaving their control. AgentAnywhere was built to close that gap. Sovereignty here isn’t a feature we bolt on at the end; it’s the architecture. The models are Indian-built, the governance runs inside the customer’s own perimeter, and every single call is masked, screened, and signed. Choosing Independence Day to launch is our way of saying technological self-reliance should extend to intelligence itself.”