THE SOVEREIGN STACK
Enterprise AI that never leaves your infrastructure.
One sovereign stack: a full model lineup, a coding family measured at parity with a leading frontier model on our own graded battery, and an Indic line trained in India. Your data, your prompts, and your code stay inside your cloud, in-country. Sovereignty is where it runs and where the data goes.
THE MODEL LINEUP
One hub. Every tier runs sovereign.
Pick the model that fits your compliance policy — from the everyday bench to departmental depth. Every one of them runs inside your VPC, in-country, under a single governance surface.
Fast
The everyday bench.
Autocomplete, inline edits, explanations, and debugging at low latency. Scored 40/40 on the core agentic classes with zero phantom completions (n=56), on a single GPU, under an Apache 2.0 licence.
40/40 core · 0 phantoms
Pro
FlagshipThe everyday default.
45/48 on the core agentic classes and 8/8 on mutation-checked test-writing (n=101) — and it runs entirely inside your infrastructure. Its ~3% phantom rate is a known, published defect we are fixing; every frontier arm we measured on the same battery overclaimed on the task none of them passed.
45/48 core · 8/8 tests
Max
Departmental depth.
The heaviest tier: 48/48 on the core agentic classes, 12/12 on mutation-checked test-writing, and zero phantom completions (n=68). For long-horizon work a team hits daily; runs on a dedicated multi-GPU node.
48/48 core · 0 phantoms
You don’t have to pick a tier by hand: the Taksha Router classifies each request and sends it to the model that measures best on that kind of work — every routing decision cites the graded runs behind it. Meet the Taksha Router
Sovereign Coder · TWO WEDGES
Where it earns its place in the enterprise.
WEDGE 1 · MIGRATION
Legacy to modern, compiled and test-verified.
Point it at the codebase you can't hire for. Sovereign Coder translates aging stacks into modern ones, then closes the loop: it compiles the output and runs the tests, iterating until the target builds and passes — inside your VPC, so the source never leaves.
- VB.NETC#
- VB.NET WinFormsAngular
- COBOLJava
- compile · test · verify — in your VPC
WEDGE 2 · AI DEVELOPMENT
A sovereign model for teams building AI.
Taksha Yantra is the specialist for teams whose product IS the agent — RAG pipelines, agent frameworks, MCP tools, eval harnesses. In alpha: it ships when it passes the same graded gate every other tier passed, not before.
- RAG, agents, and LLM-app scaffolding as a first-class skill
- Current on the fast-moving AI framework ecosystem
- Same sovereign guarantees — runs in your VPC, in-country
MANTHAN VAANI · IN DEVELOPMENT
An Indic-first model designed to cite its sources.
Manthan Vaani is our Indic line: a sovereign grounded-answer stack built in India, aimed at cited answers over Indian regulation with first-class South-Indian language support. It is in development — not yet available to customers — and it ships when it passes the same graded gate every shipped tier passed.
Aimed at Indian regulation
The design goal is citation against primary sources — RBI Master Directions, the DPDP Act — so provenance is inspectable rather than asserted.
South-Indian languages, first-class
Telugu, Tamil, and Kannada are a training target, not an afterthought bolted onto an English model.
In-country, in-VPC
Built to run sovereign like the rest of the stack. Nothing about an Indian institution's data has to leave India to use it.
Gated on the same evidence
No capability claim here becomes a product claim until it has a graded receipt, the same rule the coding tiers were held to.
THE MOAT
Sovereignty, a full model lineup, and specialists kept current.
It runs in your infrastructure
Your data, your prompts, and your code never leave your cloud. Sovereignty is about where it runs and where the data goes — both in your VPC, both in-country.
A full hub, one policy surface
Pick the model that fits your compliance policy — Fast, Pro, or Max — and they all run sovereign, under one governance surface.
Domain specialists, kept current
Migration and AI-development specialists that stay current with the stacks that move fastest, so the advantage compounds instead of decaying.
FAQ
Frequently asked questions.
- What is a sovereign AI platform?
- A sovereign AI platform runs entirely inside an organisation's own infrastructure and jurisdiction, rather than calling out to a vendor's hosted API. Sovereignty is defined by two things: where the models run, and where the data goes. On the AgentAnywhere Sovereign Stack both stay inside the customer's own VPC and in-country, so prompts, source code, and business data never leave the perimeter.
- Does AgentAnywhere train its own models in India?
- Yes. ShepHertz trains its own model line in India rather than reselling someone else's weights. The shipped coding tiers — Fast, Pro, and Max — are graded on a published battery, and Manthan Vaani, the Indic-first grounded-answer line, is in development and trained in India.
- Which models are in the AgentAnywhere Sovereign model hub?
- Three coding tiers are shipped. Fast handles autocomplete, inline edits, explanations, and debugging at low latency, scoring 40 out of 40 on the core agentic classes with zero phantom completions on a single GPU under an Apache 2.0 licence. Pro scores 45 out of 48 on the core agentic classes and 8 out of 8 on mutation-checked test-writing. Max, the heaviest tier, scores 48 out of 48 on the core agentic classes and 12 out of 12 on mutation-checked test-writing with zero phantom completions, and runs on a dedicated multi-GPU node.
- Is Manthan Vaani available to customers?
- Not yet. Manthan Vaani is in development and is not available to customers. It is an Indic-first sovereign grounded-answer stack built in India, designed to cite primary sources such as RBI Master Directions and the DPDP Act, with Telugu, Tamil, and Kannada as first-class training targets. It ships when it passes the same graded gate every shipped tier passed, and not before.
- Can AgentAnywhere models migrate a legacy codebase?
- Yes. Sovereign Coder translates aging stacks into modern ones and then closes the loop: it compiles the output and runs the tests, iterating until the target builds and passes. The work happens inside the customer's VPC, so the source never leaves.
- How does AgentAnywhere compare to frontier models on coding?
- The Sovereign Coder family was measured at parity with a leading frontier model on ShepHertz's own graded battery. The published numbers include the defects: Pro carries a roughly 3% phantom-completion rate, which is a known issue under active fix. On the same battery, every frontier arm measured overclaimed on the one task none of them passed.
Bring your hardest stack. We’ll run the whole thing sovereign.
Whether it’s a legacy migration, an AI build, or an Indic compliance workload, we’ll scope a deployment against your stack — inside your VPC, in your region.
Ready to see the deployment side? Explore AgentAnywhere Sovereign — agentic AI that never leaves your borders, with signed proof on every call.