Manufacturing back-office automation, built as specialist Industrial AI agents.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Connects to SAP, Oracle, Tally and other manufacturing ERPs. Trained on 50+ document formats and layouts.
You set the confidence thresholds. Anything below them waits for a person — nothing moves forward in your workflow unreviewed.
Read-only connect, train on your rules, ship to production. No rip-and-replace.
Today: ₹1 Cr ARR from two marquee customers, both pilot to paid. Revenue holds flat while we build the agent suite and our SLM.
Brittle scripts that break on every PDF format change. No reasoning. Need an army of consultants.
Trained on everything, tuned to nothing. It has never seen your unique formats, your rejection process, or your specific industry requirements.
Works inside your ERP, not alongside it. Shaped around your company, not around a template. Live in 2 weeks.
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.
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.
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.
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.
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.
3 senior agent/ML engineers. Ship 6 new agents and VLM/LLM fine tuning.
Founding AE + SDR. Build the enterprise pipeline.
Deployment lead. Hit 130%+ NRR target.
SOC 2 Type II, compute, security tooling.
Two NSE-listed marquee customers already live and paying — Polycab and Lloyds Engineering Works. Not a thesis, a working example.
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.
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.
A lean team that leverages our partnership with Uptiq to build and ship agents. More product per rupee.
Twenty minutes on a call. We'll show you where the savings hide in your workflow, live on your data. No slides.
