Netic raised a $23M Series B in November 2025 led by Founders Fund. The round included participation from Greylock Partners, Hanabi Capital, Day One Ventures, SV Angel, and angel investors Alex Wang, Dylan Field, Elad Gil, and Lachy Groom.

The Series B followed a $20M Series A in June 2025, co-led by Founders Fund and Greylock Partners. In total, Netic has raised $43M across its funding rounds.

Netic operates as a complete AI growth engine built around three integrated modules that map to the customer lifecycle for service-based enterprises.

The Convert module functions as a 24/7 AI intake engine that autonomously handles every inbound call, text, web chat, and third-party lead. When a homeowner's air conditioner breaks at 10 PM, the voice bot answers, asks diagnostic questions, checks technician availability, quotes pricing, and books the job directly into the customer's field service system like ServiceTitan before human staff even arrive the next morning. The system achieves a 91% booking rate and handles the complete interaction without human intervention.

The Cultivate module runs predictive campaigns that continuously analyze internal data like job history and membership status alongside external signals such as weather patterns and seasonality. It automatically launches personalized SMS, email, and outbound call sequences to upsell maintenance plans, renew warranties, or surface high-value replacement opportunities. The system might notice a customer's 10-year-old water heater approaching replacement time during a cold snap and automatically send targeted offers.

The Empower module serves as the analytics layer, unifying every interaction, booking, and campaign into a single data warehouse. It provides both high-level dashboards and granular drill-downs, allowing managers to see which marketing flows generate revenue, identify technician utilization patterns, and optimize spending allocation without manual spreadsheet analysis.

The platform uses vertically fine-tuned large language models trained on tens of thousands of historical service interactions to understand trade-specific terminology and dispatch rules. A real-time capacity engine queries the customer's scheduling system before confirming jobs, ensuring accurate booking without double-booking technicians.

Netic operates on a B2B SaaS model targeting service-based enterprises, particularly in home services, automotive, and healthcare sectors. The company positions itself as a CRM-agnostic layer that integrates with existing field service management systems rather than replacing them.

The platform generates revenue through subscription-based pricing, likely structured around the volume of interactions processed and jobs booked through the system. Given the average revenue per customer of $75K annually and the enterprise focus, Netic appears to target multi-location contractors and larger service operations that can justify the investment through increased booking rates and operational efficiency.

The business model benefits from strong unit economics driven by automation. Once deployed, the AI agents handle interactions without incremental labor costs, allowing margins to improve as volume scales. The company captures value by increasing booking rates from 60-70% industry averages to over 90%, while also capturing after-hours revenue that would otherwise be lost.

Netic's approach creates switching costs through deep integration with customer workflows and systems. The platform becomes embedded in daily operations, handling critical customer interactions and feeding directly into scheduling and dispatch systems. This operational dependency, combined with the learning effects from processing customer-specific interactions, creates natural retention dynamics.

The model scales efficiently because the same AI infrastructure can handle increasing interaction volumes without proportional increases in operational costs. As customers grow their service operations, Netic's revenue grows alongside them without requiring significant additional investment in the underlying technology platform.

ServiceTitan represents the most significant competitive threat through its Atlas AI copilot and Marketing Pro suite that bundles AI-powered call handling, campaign automation, and scheduling directly into its field service management platform. With over 8,000 customers already using ServiceTitan's core platform, the company can upsell AI capabilities with minimal friction.

Housecall Pro serves 45,000 SMB customers and has released CSR AI for 24/7 phone handling, Marketing AI for campaign automation, and Coach AI for business guidance. The platform generates campaigns directly from customer account data and integrates seamlessly with existing workflows.

Jobber continues growing 50% year-over-year toward $150M in revenue while adding email and SMS automation capabilities for smaller service businesses. These incumbents benefit from existing customer relationships and integrated data, making it easier to add AI capabilities than for standalone solutions to displace them.

Podium focuses specifically on AI-powered messaging and booking for home services and automotive dealers, promising 98% SMS open rates and sub-one-minute response times. The company positions its AI Employee as a dedicated solution for text-based customer engagement and job booking.

Pam operates as an AI business development center specializing in voice agents for automotive and service industries. These focused competitors often provide deeper functionality in specific channels but lack the comprehensive cross-channel orchestration that Netic offers.

The broader sales engagement market includes established players like Outreach and Apollo.io that are expanding into vertical-specific use cases. Outreach focuses on enterprise sales with AI-powered conversation intelligence, while Apollo.io targets small to medium businesses with more accessible pricing models.

These platforms bring strong technical capabilities and established customer bases but typically lack the service industry expertise and vertical-specific integrations that Netic has developed. However, their scale and resources allow them to potentially expand into service verticals through acquisition or organic development.

Netic can expand its AI agents into full contact center automation beyond booking and marketing. Adding capabilities for follow-up calls, collections, parts ordering, and customer service would deepen wallet share within existing accounts and position the platform as complete front-office automation rather than just revenue generation.

Embedded financing and payments represent another expansion opportunity. Home service contractors increasingly offer buy-now-pay-later options at point of sale, while automotive repair shops do the same for unexpected repairs. Integrating lending APIs and payment rails would capture interchange revenue while making the platform stickier through financial services integration.

Predictive capacity planning builds naturally on Netic's existing analytics capabilities. The platform already ingests job, weather, and capacity data, making AI-driven labor and inventory forecasting a logical next module. This would help managers optimize staffing and parts inventory weeks in advance, addressing a growing market for AI-powered scheduling optimization.

Automotive service centers represent a massive adjacent market worth over $1 trillion annually in the US. The same AI agents that handle HVAC service calls can be adapted for tire shops, oil change centers, and repair facilities that face similar booking and customer engagement challenges.

Healthcare practices, particularly consumer-facing specialties like dental, dermatology, and urgent care, represent another $275B market opportunity. These practices handle high volumes of appointment scheduling, insurance verification, and follow-up communications that align well with Netic's automation capabilities.

Enterprise and franchise networks offer opportunities to 10x account values compared to regional operators. Large tire chains with 2,000+ locations or national hospital systems process millions of calls annually, making AI-powered automation that reduces call center headcount extremely valuable at scale.

International markets present significant expansion opportunities as service industries globally face similar labor shortages and customer engagement challenges. European markets are adopting AI automation tools rapidly, while emerging markets with growing middle classes are expanding their service economies.

The platform's core technology can be adapted for different languages and regional business practices. Voice recognition and natural language processing capabilities can be trained on local dialects and service industry terminology, making geographic expansion primarily a matter of localization rather than fundamental product development.

Regulatory environments in different countries may actually favor AI automation solutions as governments seek to improve productivity and address labor shortages in essential service industries.

Incumbent integration: ServiceTitan, Housecall Pro, and other field service management platforms are rapidly integrating AI capabilities directly into their core offerings. As these incumbents bundle AI agents with existing CRM and scheduling tools, customers may prefer integrated solutions over standalone platforms, reducing Netic's addressable market and forcing competition on incumbent platforms' terms.

Model commoditization: The underlying large language model technology that powers Netic's AI agents is becoming increasingly commoditized as OpenAI, Anthropic, and others improve their APIs. If the competitive advantage shifts from AI capabilities to data integration and workflow optimization, Netic may face pressure from both technical competitors and incumbent platforms with deeper customer data and system integrations.

Regulatory constraints: AI-powered voice agents handling customer service interactions face increasing scrutiny around disclosure requirements, data privacy, and liability for automated decisions. Changes in regulations requiring human oversight, explicit AI disclosure, or restrictions on automated booking could significantly impact Netic's value proposition and require costly compliance modifications to the platform.