Neuron7 provides an AI-powered resolution hub that consumes product repair manuals, support tickets and other service records to predict root causes, surface likely fixes and guide technicians through step-by-step repairs. The product uses open-source language models such as Llama and Mistral to analyze millions of work order cases and surface historically effective repair steps. Its customers include NCR Atleos, Medtronic and Lexmark, and deployments are targeted at large enterprise service and repair workflows. Neuron7 has partnered with major incumbents — Salesforce, SAP, Microsoft and ServiceNow — and ServiceNow’s corporate VC arm is also an investor. The company reports 65 full-time employees, 300% ARR growth last year, roughly 6,000–7,000 users and sales behavior where customers tend to double spending 16–18 months after adoption. Financially, Neuron7 has raised just over $63 million to date, including a $10 million Series A in 2022 and the recent Series B. Neuron7 provides AI-generated resolution intelligence to help complex service organizations resolve issues faster at scale. Its Resolution Intelligence product, now available on the ServiceNow Store, guides teams step-by-step through optimal resolutions across ITSM, CSM, and FSM workflows via a Smart Resolution Repository. Neuron7 blends knowledge from data and people to capture expertise, optimize resolution paths in real time, and deliver purpose-built AI for medical devices, high-tech devices, and industrial equipment. The company announced Gen AI Labs, a skunkworks effort to integrate bleeding-edge algorithms and large language models into new use cases and products. ServiceNow made a strategic investment through ServiceNow Ventures to bolster product development, Gen AI Labs, and market expansion. Neuron7 tripled ARR in 2023 while adding top-tier enterprise customers, indicating strong growth and adoption. Launched in 2020 by Vinay Saini and Niken Patel, Neuron7 uses natural language processing to analyze metadata from knowledge bases, product documentation, support call logs and transcripts to create a “collective intelligence” that guides step-by-step problem resolution. The platform integrates with existing systems like Salesforce Service Cloud, ServiceNow and Microsoft Dynamics 365 and also monitors data streams from connected devices to inform recommendations. Neuron7 positions itself to power both agent-facing tools and customer/employee self-service portals, and claims algorithmic innovations as a differentiator versus incumbents. The company named Sofftek as a customer but did not disclose total customer count. Neuron7 has a 20-person team and plans to use the new funding to drive client acquisition and expand go-to-market and product headcount. The product is pitched as a response to labor shortages and high turnover in customer service, aiming to make new hires as productive as experts. Neuron7.ai develops a cloud-based, AI-driven service intelligence platform that analyzes structured and unstructured enterprise signals—CRM data, technician notes, knowledge-base content, product manuals, device data and Slack messages—to deliver predictions like root causes and resolution paths at scale. The platform captures the expertise of top technicians through closed-loop learning to improve accuracy across Tier 1 service centers, repair, and field technicians. In stealth, Neuron7.ai tested its product with multiple Fortune 1000 companies and reported excellent results across industry datasets. The company is led by repeat entrepreneurs Niken Patel and Vinay Saini and is headquartered in San Jose, Calif. Neuron7.ai plans to use its new seed funding to expand engineering, product, and sales teams and pursue industry-specific deployments. Its stated vision is to become a Service Intelligence system of record as industries shift toward outcome-as-a-service models.

Total raised

$58M

Funding rounds

4

Latest round

Series B

Latest activity

Oct 2024