DIRV

Autonomous drones that diagnose, print, and repair critical structures in mid-flight. No scaffolding. Without human risk.

  • B2B
  • Industrials
  • Consumer
Categories
B2B, Industrials, Consumer, Healthcare
Subcategories
Infrastructure, Operations, Drones, Manufacturing and Robotics, Consumer Electronics, Diagnostics, Industrial Bio
Customers
B2B, B2G
Revenue model
Other, Services, Licensing, Subscription, Usage-based, Transactional

Problem

The maintenance of critical infrastructure (bridges, transmission towers, oil pipelines, and sanitation networks) faces severe operational and economic bottlenecks. The central problem is divided into three pillars: High Costs and Inefficiency: Traditional methods require slow and reactive interventions, generating annual billions of dollars in losses in Brazil due to the installation of scaffolding and complex logistics. Critical Human Risk: Constant exposure of operators to work at high altitudes and unhealthy confined environments, causing about 120 annual deaths in the sector. Technological Limitation and Operational Shutdowns: Current drones perform only visual or thermal inspections, requiring physical human intervention to carry out the repair. This causes prolonged traffic stoppages and interruptions to essential services.

Solution

The startup proposes to solve the problem by unifying diagnosis and immediate physical remediation in a single autonomous operating cycle through the DIRV ecosystem:

-Digital Twin Diagnosis: Uses sensory fusion (LiDAR) 360°, thermal camera and ultrasound) to identify microscopic faults (5mm) and generate a real-time Digital Twin of the infrastructure.

  • 3D Printing and Stabilization: It employs an active gyroscopic stabilization system that counteracts external forces and extruder recoils, ensuring space locking of 2 cm and surgical deposition of polymers with a precision of 3 mm.
  • Instant Non-Stop Cure: Apply microlaser curing to solidify the composite in less than 30 minutes on vertical surfaces, eliminating the use of scaffolding and operational shutdowns.
  • Two-Layer AI: It acts via Edge AI for adaptive stability control and Swarm AI for dynamic fleet allocation and coordination.

Business model

The DIRV Project operates under a hybrid B2B/B2G business model focused on recurring revenues and the protection of proprietary assets:

  • Maintenance as a Service (MaaS): Long-term contracts for inspection and repair in utilities (energy, highways, sanitation) and façade engineering, charged per restored extension or volume.
  • Sale of Fleets and SaaS: Commercialization of robotic hardware combined with the subscription to the swarm AI platform and Digital Twins.
  • Razor-and-Blade model: Exclusive and continuous supply of patented self-healing polymers.

Expected Average Ticket:

  • MaaS contracts (B2B/B2G): R$ 300 Thousand a R$ 1,5 million/year by corporate contract or concession, depending on the extension and the stipulated SLA.
  • DIRV + SaaS Fleet Sale: R$ 500 Thousand a R$ 1,2 million per initial batch of equipment, generating recurring revenue from software and consumables.

Market

The DIRV Project operates in the global market for automated predictive maintenance and robotic infrastructure repair. Market sizing is structured in:

  • TAM Global (Total Addressable Market): Designed to Surpass US$ 160 billions. The expansion includes critical infrastructures (energy, transportation, sanitation, oil & gas) and the maintenance of urban structures (restoration of building facades).
  • Direct SAM (Serviceable Addressable Market): Estimated at US$ 160 millions/year in the first 5 years of commercial operation.
  • National Market (Brazil): Initial market direct from R$ 800 millions/year for public infrastructure and utilities, added to an increase of R$ 1,2 the R$ 1,8 billion/year in the façade engineering and vertical building maintenance segment.

The proposal enables the transition from reactive maintenance to “continuous self-healing” with a reduction of 40% the 60% not OPEX.

Competitors

Currently, the market is divided into fragmented solutions that only attack parts of the problem:

  • Passive Inspection Drones (DJI Enterprise, Skydio): References in visual, thermal and LiDAR diagnostics, but they act only on mapping, requiring human teams with scaffolding/rappelling for repair.
  • Contact Drones/END (Voliro, Flyability): They perform ultrasound and physical contact measurements in confined places, but have no material deposition capacity.
  • Terrestrial 3D Printing Systems: Robotic construction arms restricted to flat floors and controlled environments.

Technological Void and Differential of the DIRV:

There is a global gap for the synchronous integration of in-flight diagnosis and physical repair. DIRV outperforms competitors by combining active gyroscopic stabilization, additive manufacturing, and fast-curing polymers to perform “self-healing” without operational interruption.

Competitive differentiation

The DIRV differential lies in the transition from passive inspection to synchronous self-healing. Commercial drones (DJI, Skydio, Voliro) perform only visual or contact mapping, requiring subsequent human intervention with scaffolding and high risk. The DIRV unifies diagnosis and repair in the same flight cycle.

Its technological pillars include:

  • Gyroscopic Inertial Anchor: Active-top rotor that cancels the extruder recoil (3–5 bar) and winds from 40 km/h, ensuring a lock of ±2 cm.
  • 3D Printing and Microlaser Curing: 360ocirc nozzle with self-regenerative polymers and cross-linking in <30 min via 405nm laser.
  • Two-Layer AI: Edge Processing for fault detection from 0,5 mm and mesh swarm navigation.
  • Operational Impact: Reduction of 60% in OPEX, elimination of 100% Of the human risk at height and protection by 3 international patents.

Entry barrier

The DIRV's barrier to entry (moat) is supported by three pillars protected by intellectual property:

1. Active Gyroscopic Anchoring (Top Rotor): Patented engineering solution that overrides Newton's Third Law (recoil of 3 5 bar from the extruder) and 40 km winds in fractions of a second. It guarantees space locking of 2 cm and deposition accuracy of 3 mm, preventing generic drones from carrying out physical repairs in flight.

2. International Patent Protection: Guaranteed by 3 patents focused on the flight deposition system, the rheological formulation of self-adhesive composites, and navigation algorithms in confined environments.

3. Input and Data Barrier: Razor-and-Blade model based on exclusive self-regenerative 405nm microlaser curing materials, combined with the network effect of the Digital Twins database accumulated with each operation.

Traction

Because it's a Deep Tech startup in the TRL stage 2 (Concept and Theoretical Modeling), the DIRV does not have commercial market metrics (sales, users, or downloads). The current trend reflects the advance in the frameworks of technological development, intellectual protection, and institutional coordination:

  • Technical Validation and Engineering: Completion of mechanical modeling, proprietary technical drawings, and flight physics and gyroscopic anchoring simulations validated via Digital Twin.
  • Formalization and Intellectual Property: Company incorporated under the Simple Innovation (I.S.) regime and portfolio of 3 structured international patents (active gyroscopic stabilization, self-regenerative composite, and swarm navigation).

Entrepreneurs

Alexandre Valentim

CEO

  • HeadquartersNiterói/RJ
  • Founded08/2026