Funding
$60.00M
2025
Valuation
Seneca raised $60 million in its Series A round on October 20, 2025, led by Caffeinated Capital and Convective Capital. The round included participation from First Round Capital, Transition VC, Advance Venture Partners, NextView Ventures, Bullpen Capital, StepStone Group, DCVC, Offline Ventures, Roar Capital, Slow Ventures, and MHS Capital.
Product
Seneca builds autonomous drone swarms that detect and suppress wildfires without human pilots. The system is portable and case-based for field deployment.
Each strike team consists of 4-6 electric quadcopters stored in rugged cases that firefighters can transport in pickup trucks or place on rooftops. With a tablet tap to launch a mission, the nearest drones automatically take off and fly to approximate GPS coordinates.
The drones use infrared sensors and video cameras to locate flames, then deploy high-pressure aerated Class-A foam directly onto the hottest areas. Each drone carries over 100 pounds of suppressant and can pump it at over 100 PSI, producing a long-range foam stream similar to what a light helicopter would drop.
The autonomous flight system combines GPS navigation, computer vision for obstacle avoidance, ADS-B transponders for air traffic coordination, and AI models that recognize heat signatures and account for wind patterns to keep suppression on target. One operator can supervise multiple aircraft through an iOS or web dashboard, and the drones coordinate among themselves and with manned aircraft to avoid conflicts.
Each quadcopter is hand-portable, battery-electric, and can be refilled with water and foam concentrate on scene. After emptying their tanks, drones return automatically to their cases for two-minute battery swaps and refills before launching again.
Business Model
Seneca sells annual subscriptions for autonomous firefighting platforms under a system-as-a-service model. The company targets fire departments, utilities, and government agencies with a B2B go-to-market approach.
Rather than selling hardware outright, Seneca bundles drone strike teams with software, maintenance, and support in recurring service contracts. The model provides predictable revenue, and customers always have access to the latest autonomous flight capabilities and suppression technology.
Pricing is an alternative to traditional helicopter contracts. Manned helitack operations typically cost $2,000-$8,000 per flight hour plus multi-million dollar annual standby fees, while Seneca's electric drones eliminate pilot costs, fuel expenses, and the need for helipads or specialized maintenance facilities.
The model relies on rapid deployment. Traditional manned aircraft require over 30 minutes from dispatch to first water drop, while Seneca's autonomous systems can be suppressing fires in under 10 minutes. This speed is material for initial attack scenarios where early intervention can prevent small ignitions from becoming major incidents.
Seneca's approach also scales across multiple simultaneous incidents. A single operator can coordinate several drone swarms from a central dashboard, allowing fire departments to respond to multiple calls without deploying additional crews or aircraft.
Competition
Autonomous incumbents
Rain Industries partners with Sikorsky to layer wildfire autonomy onto optionally-piloted UH-60 Black Hawk helicopters, demonstrating fully robotic bucket drops with 1,000-gallon capacity. These systems leverage global Sikorsky service networks and DoD-grade avionics but require $10-20 million per airframe plus traditional bases and crew infrastructure.
United Rotorcraft converts UH-60s into Firehawk configurations with 1,000-gallon belly tanks, securing its first international contract with the Colombian Air Force. The company is moving toward optional autonomy while maintaining pilot-on-board operations at $8-10 million per conversion.
Kaman's K-MAX Titan offers heavy-lift unmanned helicopter capabilities with 6,000-pound payload capacity. The platform targets long-endurance missions but requires expensive ferry and maintenance operations, with production scaled back after a 2023 pause.
Detection and early warning
Pano AI has secured over $100 million in contracts across 250 agencies for camera-based wildfire detection, averaging $400,000 per agency annually. The company raised $44 million in Series B funding to expand its sensor network that triggers autonomous response systems.
OroraTech raised €37 million to build thermal satellite constellations for wildfire detection, expanding the space-based sensor grid that feeds ground response systems. These detection platforms complement rather than compete directly with Seneca's suppression focus.
Traditional aerial firefighting
Legacy operators are upgrading conventional helicopters and fixed-wing tankers with night-vision, bigger tanks, and partial autonomy features. PG&E demonstrated autonomous initial-attack helicopters while Texas allocated $60 million for AI-enabled Black Hawk programs, showing utilities and states becoming direct budget-holders for advanced firefighting technology.
TAM Expansion
Larger aircraft platforms
Seneca's current multirotor drones deliver 500-1,000 pounds of suppressant per sortie, which suggests an upgrade path to larger fixed-wing or tilt-rotor platforms. Autonomous micro-tankers carrying 5-10 times more suppressant could launch from the same portable deployment systems while moving upmarket into missions currently served by higher-cost helitankers and single-engine air tankers.
These larger platforms would retain rapid deployment and autonomous operation while targeting contracts from agencies that need greater suppression capacity per mission.
Integrated detection networks
Acquiring or partnering with camera and sensor companies would let Seneca sell complete see-and-solve wildfire platforms. This integration would expand addressable spend from the $15-20 billion annual U.S. wildfire response market into the $5-6 billion early detection segment that state and local agencies are actively funding.
Combined detection and suppression systems could automatically trigger drone launches based on sensor alerts, reducing response times and creating single-vendor relationships with fire agencies.
Adjacent applications
The same autonomous aircraft platforms can be equipped with ignition canisters for prescribed burns, chemical dispersants for hazmat incidents, or LiDAR sensors for post-fire mapping. These modules can support year-round revenue with forest managers, insurance companies, and industrial facilities beyond peak fire season deployments.
Utility partnerships
California's investor-owned utilities plan to spend over $6 billion on wildfire mitigation from 2026-2028, with rapid-response suppression systems eligible for regulated budget allocation. Preventing utility line-sparked fires through immediate autonomous response addresses both liability and regulatory compliance requirements.
Electric utilities represent a customer segment with predictable budgets, defined coverage areas, and strong incentives to prevent ignitions from becoming major incidents that trigger large liability exposure.
Federal and international expansion
The U.S. wildland fire budget has grown from $993 million in 2021 to a requested $6.55 billion for 2026, which expands available budget for technology contracts and firefighting-as-a-service subscriptions. Federal agencies offer larger contract opportunities and multi-year procurement cycles.
International markets including Canada, Mediterranean Europe, Australia, and South America face similar wildfire challenges with longer fire seasons and sparse crew coverage. These regions create demand for autonomous night-attack capabilities when manned aircraft are grounded, supporting export opportunities for U.S. technology.
Risks
Regulatory constraints: Autonomous aircraft operations in emergency scenarios face complex FAA certification requirements and airspace coordination challenges. Changes to drone regulations or restrictions on autonomous operations during active fire incidents could limit deployment flexibility and operational effectiveness.
Technology reliability: Wildfire suppression demands real-time decision-making in extreme conditions with high winds, poor visibility, and rapidly changing terrain conditions. Any failures in autonomous navigation, target identification, or suppression delivery could cause mission failures or safety incidents, reducing customer confidence and risking regulatory approval.
Seasonal revenue concentration: Wildfire suppression revenue is concentrated in peak fire season months, creating cash flow challenges and limiting year-round utilization of expensive autonomous aircraft assets. Economic downturns or mild fire seasons could reduce annual contract renewals and expansion opportunities.
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