Lending Intelligence
The credit officer’s second brain. Six connected modules configured to your policy, your formats and your tier structure.
From fragmented data to actionable frontier intelligence which you can self host.
Classify
Extract
Map
Decide
अर्थ · Finance / Meaning / Purpose
AI
ArthaLM · classify, extract, map
Tools
CAM generation, statement analyser, policy chat
Application
Officer workspace, connected to your LOS
Solutions
Applied AI for banks, NBFCs, insurers and the public sector, running on your infrastructure.
The credit officer’s second brain. Six connected modules configured to your policy, your formats and your tier structure.
Check eligibility, assemble TPA-ready packets and identify denial risk before submission. Built for health and motor claims.
Built with the Government of Karnataka. Handwriting recognition, regional voice and policy discovery for citizen services.
Embedded engineers. Custom models. A working system in your environment.
Meet ArthaLM
ArthaLM’s vision-language models, built for the documents Indian banks and NBFCs actually process.
combined_scan.pdf
5 files.30 pages.One scan.
Received
Classify
Merged + scanned
Extract
Structured fields
Map
Parties + collateral
Assemble
One case file
Case file · LP-2884109
Resolved
6 documents · 4 parties resolved
30 pages read · 0 re-keyed by hand
Your infrastructure. Your control.
Run in your VPC, on-premise or air-gapped. Connect through REST APIs and webhooks. Your team keeps the keys; your reviewers get the audit trail.
The boundary comes first
Deploy inside your VPC, your data centre or an air-gapped network, on a customer-owned account with your KMS keys.
Model and application, in place
ArthaLM model serving, the tool layer and the officer workspace run inside your environment.
On your terms
REST APIs and webhooks to your LOS, outbound only where you allow it.
Everything recorded
Every model output and user action is timestamped, sourced and exportable for audit and regulator review.
Real work. Real impact.
Hover a customer to see the impact.
“Newron’s CAM engine replaced three weeks of human review with a 40-minute QC step. Our credit officers stopped reformatting Excel and went back to actually underwriting.” — Arun Velayutham, Head of SME, Aditya Birla Capital
Kannada handwriting recognition, regional voice and policy discovery bring citizen services closer to the people who need them. No reply reaches a citizen until an officer approves it.
66% reduction in turnaround time, reported across Newron lending deployments. The recommendation arrives with its evidence attached; the judgement stays with your team.
Newron is an NVIDIA Inception partner. Also trusted by HDFC Credila, Fedbank, Fusion, Niwas, IISc, ARTPARK and SATTVA.
01
0×
Up to 3× faster processing
02
1/0
≈ the inference cost
03
0%
Productivity uplift
04
0k+
Hours saved
Performance figures from Newron’s own document evaluations against frontier models on the same document set. Results vary by task, workload and deployment. Productivity and hours reported across Newron lending deployments.
From scope to production
01
Your data
Start with a sandboxed evaluation on a slice of your historical data. Get the evidence your team needs before a production rollout.
02
8–12 wks
A typical engagement timeline, scoped to your data and integration needs. Embedded engineers, custom models, production in your environment.
Start with a sandboxed evaluation on a slice of your historical data.