ShepHertz Technologies has launched AgentAnywhere, a sovereign agentic AI platform designed to enable 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.
AgentAnywhere is designed for organisations deploying agentic AI in regulated environments where data control, accountability and auditability are critical. 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 operating within the same perimeter.
At the core of the platform is 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 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 defence and Sanjaya for critical telemetry are offered on a partner-scoped basis.
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. ShepHertz is also developing Manthan Vaani, 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 optimisation.
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.”
The company said pilots are already running with enterprise customers ahead of the public launch.