Neuron7
San Jose, US · Founded 2020 · 141 employees on LinkedIn · 5 known investors
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Neuron7 offers a Service Decision Platform that uses a company's product, asset, failure-mode, and resolution-history data to diagnose issues and recommend next actions for service and support teams. It combines AI agents and human collaboration across channels like text, voice, and mobile to speed service resolution and reduce escalations.
Also known as Neuron7.ai
Founders & leadership
Neuron7 was founded in 2020 by Niken Patel and Vinay Saini.
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Board

Investors · 5
Also in the syndicate · 1
Funding
SEC filings, press & company announcements$45M disclosed across 1 of 3 rounds · 2022–2024
- Undisclosed amountSeries AJun 2022
Battery Ventures (lead), Nexus Venture Partners (lead)
Source ↗
▶$45MraisedOct 2024 · 5 investors · OtherRule 506(b)
- Niken PatelExecutive Officer, Director
- William BinchDirector
- Vinay SainiDirector
- Abhishek SharmaDirector
- Chris LytleDirector
- Offering amount
- $45M
- Amount sold
- $45M
- First sale
- Sep 2024
- Incorporated
- Corporation, Delaware, 2020
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Neuron7 develops AI agents for field service, technical support, and customer care organizations. The product consolidates a customer's product, root-cause, and resolution data into what the company calls a Service Expertise Graph — a single intelligence graph built from actual case history rather than document search — and uses it to provide step-by-step troubleshooting and resolution guidance to technicians and support agents.
The system captures what worked in each interaction and feeds that back into the model so guidance improves as cases are closed. Beyond break-fix guidance, Neuron7 positions itself around prediction, using patterns in when problems occur and how they are resolved to anticipate likely future failures, reduce repeat visits, and cut customer downtime. The company also offers parts and repair recommendations for escalated work orders.
Business model
Enterprise software sold to large service organizations, deployed as a resolution intelligence layer on top of a customer's existing CRM, ticketing, and field service management systems rather than as a replacement for them.
Traction
Customer-reported outcomes published by the company include complex diagnostics moving from three hours to three seconds, 46% faster resolutions with a 14-point CSAT lift, 24% lower parts cost on escalated work orders, and standardized troubleshooting across 60 regions and more than 8,000 technicians. Executive testimonials from global field service and global services leaders reference onboarding newly hired technicians to the productivity of long-tenured staff and integration into existing service delivery platforms.
▸Full profile — market position, technology, go-to-market
Market position
Supplier of AI-based service resolution software to large enterprise service organizations, operating alongside rather than in place of incumbent CRM, ITSM, and field service platforms. Recognitions cited include a 2024 ServiceNow Ventures strategic investment, inclusion in the 2024 IVP Enterprise AI 55, and a 2025 Best Overall Solution award.
Positions against general-purpose AI service tools by grounding recommendations in a customer's own completed fixes rather than searching documentation, producing deterministic guidance, and extending from break-fix resolution into failure prediction.
Technology
A Service Expertise Graph assembled from historical service cases, products, failure modes, and resolutions, used to generate deterministic, explainable resolution guidance instead of relying on LLM wrappers over documents. The system learns from each closed case and includes predictive failure capabilities. Pre-built connectors integrate with Salesforce, ServiceNow, SAP, Microsoft, and other major CRM and FSM platforms, surfacing guidance inside the tools technicians already use. The company holds a SOC 2 Type II attestation dated 2023.
Go-to-market
Direct enterprise sales with demo requests from the website, supported by platform partnerships and ecosystem programs — the company describes itself as the first Agentforce Partner for Service, was a Microsoft Partner of the Year finalist, and was recognized by SAP.io. Deployments typically begin as pilots on the highest-volume product lines and failure patterns and expand across the installed base, with timelines described in weeks rather than months.
Fortune 1000 enterprises that service complex technical equipment at scale, including medical devices, high-tech manufacturing, industrial systems, payment technology, and telecom; most customers are described as having 1,000 or more service technicians across multiple regions or product lines.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 7
launches, deals, and filingsCompany website lists a 2024 strategic investment from ServiceNow Ventures among its recognitions; no amount disclosed.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 1
primary sources listed
- Neuron7neuron7.ai · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Neuron7 do?
- Neuron7 builds AI service agents that guide field service, technical support, and customer care teams to resolutions.
- Who founded Neuron7?
- Neuron7 was founded by Niken Patel, Vinay Saini in 2020.
- Who are Neuron7's investors?
- Neuron7's investors include Smith Point Capital, ServiceNow Ventures, Battery Ventures, Nexus Venture Partners.
- How much funding has Neuron7 raised?
- Neuron7 has disclosed $45M raised across 1 of its 3 known rounds.
- Where is Neuron7 headquartered?
- Neuron7 is headquartered in San Jose, US.


