Deployed live at Polycab and Lloyds Metals

The back office
runs itself now.

Manufacturing back-office automation, built as specialist Industrial AI agents.

Technology Partner

We don't reinvent the AI stack.
We build on Uptiq.

Uptiq is a venture backed AI platform company — and in enterprise AI, the hard part is the infrastructure, not the industry. They proved it in financial services, the most regulated and least forgiving environment there is, hardening the agent orchestration, document extraction, grounding, guardrails and audit trails every serious deployment needs. Rather than burn 18–24 months and millions rebuilding that stack, we build on their no code AI Workbench and spend our capital where it compounds — product and go to market. The Industrial AI stack we build on top is entirely ours — end to end.

NSOL IS UPTIQ’S
Preferred Partner
FOR INDUSTRIAL AI
$70M+
raised to date
$25M
Series B (2026) · Curql-led
2022
founded · Dallas, TX
The problem

Manufacturers are sitting on
a trillion-dollar paperwork tax.

Invoices, POs, RFQs, NCRs, audits. Every manufacturer runs this same back office. Most of it is repetitive, rule-based, document-heavy work — done by people who'd rather be doing something else, paid for by margins that keep shrinking.

₹100L Cr+
global manufacturing back-office spend
40–60%
of finance team time spent on data entry and compilation
20%
of invoices need manual intervention before payment
60 days
median sourcing cycle —need identified to contract
Why now

The market just changed. Three shifts converged in 18 months.

01
Agentic AI crossed the line

Frontier models in 2025 began reliably completing multi-step workflows end to end, not just answering questions. The unit economics of back-office automation flipped.

02
Manufacturing margins compressed

Commodity and energy costs took 200–400 bps off operating margins across the sector since 2022. Promoters are now actively hunting for cost out, not waiting for it.

03
ERP modernization stalled

Only 8% of S/4HANA migrations finish on schedule and projects run about 30% long. Customers need value layered on top of legacy ERPs, not another rip-and-replace project.

WHAT WE DO

Six specialist agents, one manufacturing back office.

Each agent is purpose built for a single workflow, trained on manufacturing data, and integrated with the ERPs you already run. Deploy one. Deploy all. Live in 2 weeks.

Book-keeping and Accounting
Invoice ingest, PO and GRN match, GST and TDS validation, ERP post.
Order Management
Customer POs from any channel → sales orders.
Dispatch & Logistics
Delivery challans, e-way bills, LR and proof of delivery matched to the invoice.
Engineering Docs
2D drawings → Bill of Materials / Bill of Quantities.
Procurement
RFQs out, quotes normalised, award recommended, PO drafted.
Quality & Non-Conformance
Inspection rejections written up as NCRs, supplier notified, corrective action tracked to closure.
Customer proof · 01

Polycab is unlocking value in croreson the topline. With one agent.

India's largest wire and cable manufacturer deployed our enquiry-to-quote agent across their company. Twelve months later, customer enquiries come back as priced quotes in hours instead of days — the lift didn't come from more leads, it came from answering the ones they already had.

+2-3%
Expected topline revenue upliftin 12 months
3× increase
expected in quotes per rep
Any format
PDF, email or WhatsApp enquiries
24 hrs
Enquiry to PO (was 7-10 days)
Customer proof · 02

Lloyds Engineering: the drawing reads itself now.

Lloyds Engineering Works builds pressure vessels, columns, marine loading arms and capital equipment for oil & gas, power and steel plants. Customer enquiries arrive as 2D fabrication drawings — every one used to be parsed by hand into a bill of materials before a quote could go out.

Lloyd's Engineering
MS Plate 12mm
48
Angle 50×50×6
22
Bolt M16×65
144
Weld E7018
18 kg
Paint Zn-rich
6 L
70%→95%
extraction accuracy, out of the box to tuned on client drawings
faster than manual takeoff
1 wk
estimator time saved per project
How it works

Unstructured in. Structured out. Nothing in between.

01 INGEST
Ingest
Email, WhatsApp,
scans, PDFs
02 EXTRACT
Extract
Header, lines,
meta, intent
03 MATCH
Match
PO, GRN,
contracts, policy
04 DECIDE
Decide
Confidence-
scored action
05 ROUTE
Route
Approve, alert,
or escalate
06 POST
Post
ERP write back
+ audit log
Built for manufacturing

Connects to SAP, Oracle, Tally and other manufacturing ERPs. Trained on 50+ document formats and layouts.

Human-in-the-loop, always

You set the confidence thresholds. Anything below them waits for a person — nothing moves forward in your workflow unreviewed.

Live in 2 weeks

Read-only connect, train on your rules, ship to production. No rip-and-replace.

MARKET

The market is compounding. So are we.

MARKET

₹10 Lakh Cr+

CATEGORY
Back office document AI + engineering & CAD AI — invoices, POs, drawings, BOMs. Growing 30-38% CAGR

₹50,000 Cr

India first — same engineering cost, global contract values.
Category: IDP ~$4B (Grand View Research) + generative AI in engineering ~$1.8B (The Business Research Company), 30–38% CAGR.
BUSINESS MODEL

How we sell — and our moat.

HOW WE SELL

Agent Suite

A bouquet of agents deployed together, priced as one lump sum.

Enterprise

Custom builds and on-prem deployment.
OUR EDGE
Fine-tuned on real manufacturing data
The model already understands how invoices, POs and drawings work across the industry — so it performs on day one, not after months of setup.
A small model, tuned to one job
For high volume tasks we run a compact model (SLM) — cheaper, faster and hard to beat on the work it is built for.
Every deployment widens the gap
Every rollout teaches the model new document patterns and edge cases — so each one is faster and sharper than the last.
Customer data stays in each customer's own environment — nothing is pooled across accounts.
WHY WE WIN

Two categories of competitor. None are built for manufacturing.

ROBOTIC PROCESS AUTOMATION (RPA)
UiPath, Automation Anywhere, Blue Prism
THE GAP

Brittle scripts that break on every PDF format change. No reasoning. Need an army of consultants.

HORIZONTAL AI
ServiceNow, Microsoft Copilot, generic GPT wrappers
THE GAP

Trained on everything, tuned to nothing. It has never seen your unique formats, your rejection process, or your specific industry requirements.

NSOL AI
Specialist agents for manufacturing back office
WHY US

Works inside your ERP, not alongside it. Shaped around your company, not around a template. Live in 2 weeks.

Team

Operators and builders who've shipped this before.

Vishal Amlani
CEO & Co-founder

Third generation entrepreneur with an insider's grasp of the industrial sectors served. Co-founded NSOL to turn sector insights into Agentic AI solutions for industry, helping manufacturers do more with less — faster turnaround, higher throughput, fewer bottlenecks.
Owns commercial strategy, customer outcomes, and enterprise GTM end to end.

Nikhil Jalan
President & Co-founder

Seasoned entrepreneur with over 20 years of global business experience gaining extensive expertise in corporate leadership and building strategic partnerships.
Co-founded NSOL and owns the company’s business development and corporate strategy, driving growth initiatives, forging strategic alliances, and identifying new market opportunities.

Vikram Patil
CTO

15+ years across PwC, Orbcomm, and DataTorrent, building data platforms and AI infrastructure for machine learning and real-time analytics at enterprise and startup scale.
Owns the agent platform, model architecture, and ERP integration — and the teams that turn complex challenges into product.

Rajesh Narain Gupta
Mentor

Managing Partner, SNG & Partners. Practicing lawyer since 1988. Independent Director at HDFC Capital Advisors and Axis Capital; ex-board, HDFC Limited. Forbes India Legal Powerlist. Advises leading banks on financial services, ESG, and commercial law.

Snehal Fulzele
Strategic Advisor

Founder & CEO of UPTIQ. Previously co-founder & CEO of Cloud Lending Solutions — scaled from zero to acquisition by Q2 Holdings (NYSE: QTWO), one of vertical fintech's defining exits. MS Software Engineering, Carnegie Mellon. Ex-Oracle, Adobe.

WHY BET ON US

Most seed AI is a bet. This one already works.

01. Proof, not promise

Two NSE-listed marquee customers already live and paying — Polycab and Lloyds Engineering Works. Not a thesis, a working example.

02. Wedge into a moat

Manufacturing exposure, plus a domain specific SLM we fine-tune on real paperwork. Every deployment adds pattern know how — the model compounds and the gap widens.

03. Hybrid sales approach

A hybrid approach: a standard bouquet of agents for fast, repeatable deployments, plus custom builds for enterprises. Mix and match lifts both replicability and ticket size.

04. Capital efficiency

A lean team that leverages our partnership with Uptiq to build and ship agents. More product per rupee.

Let's automate the back office.