AI company ShepHertz Technologies has launched AgentAnywhere, a sovereign agentic AI platform designed to help banks, insurers, hospitals, government organisations and BPOs deploy AI agents within their own infrastructure, cloud environments and encryption frameworks.
The platform is aimed at organisations that want to adopt agentic AI while maintaining control over sensitive data, model access, security and compliance.
AgentAnywhere Focuses on Enterprise AI Governance
AgentAnywhere combines AI models trained in India with a governance layer designed for regulated and security-sensitive environments.
According to ShepHertz, the platform includes multiple controls to protect sensitive information and monitor AI activity.
Its core components include:
- Veil: Masks and de-identifies personal, financial and regulated information before it reaches a model.
- Kavach: Screens requests and responses for prompt injection and jailbreak attempts.
- Agent Universal Gateway: Provides a central control point for model calls, tool calls and communication between AI agents.
- Custodian: Maps platform controls to frameworks including SOC 2, ISO 27001 and RBI requirements.
Together, these components are designed to give enterprises greater visibility and control over how AI agents interact with data, models and external tools.
Seven AI Model Families Planned
AgentAnywhere is being developed around seven model families, all trained in India.
The company’s Taksha model, focused on AI engineering and coding, is already generally available.
ShepHertz plans to introduce six additional model families during 2026:
- Manthan: General-purpose reasoning
- Kuber: Banking, financial services and insurance (BFSI)
- Seva: Service operations
- Tatva: Edge deployments
- Astra: Defence applications
- Sanjaya: Critical telemetry
Astra and Sanjaya will be offered on a partner-scoped basis, according to the company.
Each model family will be available in Fast, Pro and Max tiers and can operate inside a customer’s virtual private cloud (VPC) under the same governance framework.
Execution-Based Testing for AI Models
ShepHertz says every model must pass an execution-graded testing battery before being released.
The company said two candidate models were rejected after failing these tests.
The approach reflects a growing emphasis on evaluating AI models based on their ability to perform tasks reliably in real-world environments rather than relying solely on conventional benchmark scores.
Support for Indic AI and Open Models
Beyond its core model families, ShepHertz is also developing Manthan Vaani, an AI model line focused on Indic languages.
AgentAnywhere can also support several open AI models within its governance framework. These include:
Mistral, Qwen, GLM, Gemma, GPT-OSS and Llama.
This model-agnostic approach could allow enterprises to select different AI models depending on their performance, cost, security and deployment requirements while maintaining a common governance layer.
Shuddhi Supports AI Training Infrastructure
ShepHertz’s AI infrastructure also includes Shuddhi, a data-processing system designed to prepare training datasets and generate build manifests for individual training runs.
The system is intended to support the company’s model development and training processes by providing greater structure around dataset preparation and model-building workflows.
Targeting Regulated and High-Security Industries
AgentAnywhere is primarily positioned for organisations where data sovereignty, security and regulatory compliance are critical considerations.
Banks and insurers handle sensitive financial information, hospitals manage confidential health data, while government agencies and BPOs often operate within strict data-access and security requirements.
By allowing AI agents to run within customer-controlled infrastructure and cloud environments, ShepHertz is targeting a segment where organisations may be reluctant to send sensitive information to external AI platforms.
ShepHertz’s Enterprise AI Strategy
Gurugram-based ShepHertz Technologies is led by Siddhartha Chandurkar and describes itself as an applied AI company focused on enterprise and government applications.
The company says its technology has deployments across more than 150 countries, serving enterprises, governments, educational institutions and families.
With AgentAnywhere, ShepHertz is positioning its offering around a central challenge facing enterprise AI adoption: how organisations can deploy increasingly autonomous AI systems without giving up control over their data, infrastructure and governance.
As businesses move from experimenting with AI chatbots to deploying autonomous agents that can access systems, use tools and make decisions, security and governance are becoming increasingly important parts of the enterprise AI stack.
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Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.