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We run it, patch it and carry the pager. Region-pinned, single-tenant option available.
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Our ProductsFour products, one philosophy: give enterprises the building blocks they would otherwise spend three years writing — without locking them in. Deploy on our cloud, your cloud, or fully air-gapped on your own metal.
A modular financial core that product teams can configure instead of petitioning engineering for. Ships with a double-entry ledger that is correct by construction and a rules engine your risk team can actually operate.
# Create a payment with idempotency and routing policy POST /v1/payments Idempotency-Key: "ord_9f2c41" { "amount_minor": 249900, "currency": "INR", "method": "upi", "routing": "least_cost", "risk_profile": "standard_v7", "ledger_account": "merchant:8812:receivable" } # → 201 Created · settled to ledger in the same transaction
Most organisations don't lack alerts; they lack judgement about which ones matter. NetraShield correlates signals, scores real business risk and automates the first ninety seconds of response.
Finds the assets nobody documented.
Anomalies scored against your own history.
Ninety seconds to containment, logged.
Controls mapped, collected continuously.
Enterprises end up with bots across three vendors and no single view of what they cost or whether they still work. NetraFlow is that view — and the orchestration layer underneath it.
We publish a written ROI model with assumptions you can challenge. If the numbers don't clear your hurdle rate, we tell you to keep the process manual. That has happened, and those clients came back for something else.
A grounded AI platform for organisations that will be asked, in writing, why the model said what it said. Every answer carries citations. Every agent action carries an audit record.
from netramind import Graph, Agent, Policy policy = Policy( tools=["kb.search", "crm.read"], # read-only by default max_tool_calls=6, require_citations=True, escalate_if_confidence_below=0.72, ) g = Graph(name="claims-triage") g.node("classify", Agent("intent", policy)) g.node("retrieve", Agent("kb", policy)) g.node("draft", Agent("writer", policy)) g.edge("classify" >> "retrieve" >> "draft") g.human_checkpoint("draft", when="amount > 50000") g.deploy(env="prod", evals="claims-golden-v4")
We run it, patch it and carry the pager. Region-pinned, single-tenant option available.
Deployed into your AWS, Azure or GCP account via Terraform. You hold the keys, literally.
Fully on-premise with self-hosted models for regulated and sovereign environments.
We will run a scoped pilot on a slice of your real workload. If it doesn't clear the bar we set together, you owe us nothing.