ABOUT NEXUSPHERE AI

Built by the operator
who ran the systems
you're trying to replace.

NexuSphere AI is an AI-native Operational Intelligence Platform for retail and DTC brands doing $20M–$300M. Founded by Kishan Thoppae — 20 years of enterprise ERP operations at Apple, Twilio, Roku, Johnson & Johnson, and GoPro — built to solve the problems he kept seeing at every company.

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NexuSphere AI
Kishan Thoppae
FOUNDER & CEO · NEXUSPHERE AI
years enterprise ERP20+
revenue scaled$1B+
enterprise organizations5
fastest go-live2 wks
OFFICIAL PARTNER
Plaid integration partner — bank reconciliation and transaction sync
THE STORY

Twenty years of seeing the same problems.

At every company I worked with — Apple, J&J, GoPro, Twilio, Roku — the ERP was the center of gravity for operational data. Every order, every payment, every inventory movement, every journal entry ran through it. And at every company, the same problems appeared.

Finance teams spending the first two weeks of every month manually reconciling what the system should have reconciled automatically. AP managers too busy processing invoices to look for patterns in vendor billing. Inventory teams ordering from spreadsheets because the ERP demand forecast was built on last quarter's numbers. Executives making strategic decisions from data that was three days old because the close hadn't finished.

These weren't edge cases. They were the standard experience of enterprise ERP at scale. Traditional ERP systems were designed primarily to record transactions, not to act on your behalf. They capture what happened — they weren't built to do anything about it.

By 2023, the technology had finally arrived to build something better. Large language models made natural language queries practical. ML pipelines made continuous forecasting affordable. Event-driven architectures made real-time GL posting straightforward. And the cloud made it deployable in weeks rather than months.

I started NexuSphere AI to build the platform I always wished I'd had. Not a chatbot on top of a legacy ERP. Not another enterprise ERP implementation with a few AI features bolted on. A system designed from the ground up to act on your behalf — matching invoices, posting GL entries, forecasting demand, detecting anomalies — while you focus on the work that actually requires human judgment.

WHAT TWENTY YEARS TAUGHT ME

Every stop left a mark on how NexuSphere AI is built.

Johnson & Johnson

Enterprise scale doesn't have to mean enterprise slowness — if the platform is built right.

Apple

The best operations run on one clean data model, not a patchwork of systems bolted together.

GoPro

Lived through an ERP rollout during hypergrowth — and everything about it that should have been faster.

Twilio

Watched a $1B+ business run its entire AP and revenue recognition through one system, in real time.

Roku

Built the supply chain and data platform that scaled Roku's retail business to $1B+ in revenue.

NexuSphere AI

Built the platform I wished I'd had at every one of these stops.

PRINCIPLES

How we build NexuSphere AI.

Agent-first, not copilot-first

NexuSphere AI executes workflows autonomously — it doesn't just answer questions. The platform is designed around agents that act on your behalf: matching invoices, posting GL entries, detecting anomalies, and generating reorder recommendations. A copilot is a feature. Agents are the product.

Operators build for operators

Every feature in NexuSphere AI was born from a real operational pain point — 3-way match failures, GL reconciliation backlogs, demand forecasting spreadsheets, and month-end fire drills. We build what we wished we had — not what looks impressive in demos.

AI that compounds

NexuSphere AI operates as a closed-loop learning system. Every transaction your business makes feeds the ML models. Demand forecasts get sharper. Exception rates decrease. The system gets better the more you use it.

Speed without sacrifice

Core goes live in 2–4 weeks. The full AI platform in 4–8 weeks. This is an architectural decision — opinionated, API-first systems deploy fast. We chose fast without compromising production quality.

RECOGNITION & PARTNERSHIPS
Gartner Digital Markets
Listed on Capterra & GetApp
Product Hunt
Featured launch
G
G2
Active profile
🏦
Plaid
Official integration partner
Google Cloud
Built on GCP · Gemini 2.5
FAQ

About NexuSphere AI

What is NexuSphere AI?+

NexuSphere AI is an AI-native Operational Intelligence Platform for retail and DTC brands doing $20M–$300M in revenue. It automates order-to-cash, procure-to-pay, inventory, and finance with 4 live ML models and autonomous AI agents. Founded by Kishan Thoppae in Foster City, CA.

What is an AI-native Operational Intelligence Platform?+

An AI-native Operational Intelligence Platform is a system where artificial intelligence is embedded in every workflow — not added as a separate module or bolt-on. NexuSphere AI uses ML models for demand forecasting and anomaly detection, autonomous agents for invoice matching and GL posting, and natural language Copilot for operational queries. The AI acts on your behalf rather than just reporting what happened.

How is NexuSphere AI different from legacy ERP with AI features?+

Legacy ERP AI capabilities are typically bolt-on additions — not native to the transaction layer. NexuSphere AI is built from the ground up as an AI-native system where 3-way match, GL posting, demand forecasting, and exception handling are automated by design. It also deploys in 2–8 weeks vs 6–12+ months for enterprise ERP, starting at $499/month with implementation-light onboarding.

Who founded NexuSphere AI?+

NexuSphere AI was founded by Kishan Thoppae, based in Foster City, CA. Kishan has 20+ years of enterprise ERP operations experience — enterprise platforms at Apple and Johnson & Johnson, NetSuite at GoPro, Twilio, and Roku. He built NexuSphere AI to solve the operational problems he kept seeing at every company.