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Customer outcomes
Editorial

Bring us a Anthropic question.

A 45-minute working session. Bring an estate, a bill, a migration question or a backlog, we come back with a plan and a number.
Request a proposal
Talk to us
WHAT WE DO

Inside the practice.

01
We are our own reference.
Seventeen agents in SupplierX, twelve AI features in Logystix, twenty-one in the Data Setu library, and around thirty-five in Jarvis all on Claude. Before we sell you an agent, we have run one.
02
MCP as the tool protocol.
We build MCP servers over SAP and over your own systems, so an agent's tools are declared, versioned and auditable rather than hand-wired.
03
The governance is the hard part.
Anyone can call a model. We build the autonomy dial, the review queue, the kill switch, the re-playable ledger and the meter around it, because that is what makes it deployable in a listed company.
04
Deployed where your data is.
Claude on Google Vertex or on AWS Bedrock, under enterprise terms. Nothing trains a public model.
05
Model routing.
A fast model for high-volume extraction, a stronger one for reasoning and documents, chosen against a cost ceiling and re-evaluated.
PLATFORM

We don't demo Claude. We ship on it.

A first-wave Indian partner. Claude and the Model Context Protocol are the foundation under Jarvis, AeonXIQ and every agent we have shipped.
Request a Proposal
Talk to us
Products we build and support
12
AI agents in production
53
Offices - six in India, one in Dubai
7
Managed operations
24X7
PLATFORM

We don't demo Claude. We ship on it.

A first-wave Indian partner. Claude and the Model Context Protocol are the foundation under Jarvis, AeonXIQ and every agent we have shipped.
Request a Proposal
Talk to us

Bring us a Anthropic question.

A 45-minute working session. Bring an estate, a bill, a migration question or a backlog, we come back with a plan and a number.
Request a proposal
Talk to us
Sign up to learn more
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WHAT WE DO

Inside the practice.

01

We are our own reference.

Seventeen agents in SupplierX, twelve AI features in Logystix, twenty-one in the Data Setu library, and around thirty-five in Jarvis all on Claude. Before we sell you an agent, we have run one.
02

MCP as the tool protocol.

We build MCP servers over SAP and over your own systems, so an agent's tools are declared, versioned and auditable rather than hand-wired.
03

The governance is the hard part.

Anyone can call a model. We build the autonomy dial, the review queue, the kill switch, the re-playable ledger and the meter around it, because that is what makes it deployable in a listed company.
04

Deployed where your data is.

Claude on Google Vertex or on AWS Bedrock, under enterprise terms. Nothing trains a public model.
05

Model routing.

A fast model for high-volume extraction, a stronger one for reasoning and documents, chosen against a cost ceiling and re-evaluated.
Products we build and support
12
AI agents in production
53
Offices - six in India, one in Dubai
7
Managed operations
24X7
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